EP3025123A1 - Verfahren zur charakterisierung der mechanischen parameter einer fahrbahn - Google Patents

Verfahren zur charakterisierung der mechanischen parameter einer fahrbahn

Info

Publication number
EP3025123A1
EP3025123A1 EP14741317.3A EP14741317A EP3025123A1 EP 3025123 A1 EP3025123 A1 EP 3025123A1 EP 14741317 A EP14741317 A EP 14741317A EP 3025123 A1 EP3025123 A1 EP 3025123A1
Authority
EP
European Patent Office
Prior art keywords
roadway
sensors
mechanical parameters
displacement
layer
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP14741317.3A
Other languages
English (en)
French (fr)
Inventor
Mickaël Carmona
Antoine Robinet
Eric COQUELLE
Jean-Luc Gautier
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Colas SA
Commissariat a lEnergie Atomique et aux Energies Alternatives CEA
Original Assignee
Colas SA
Commissariat a lEnergie Atomique et aux Energies Alternatives CEA
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Colas SA, Commissariat a lEnergie Atomique et aux Energies Alternatives CEA filed Critical Colas SA
Publication of EP3025123A1 publication Critical patent/EP3025123A1/de
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • G01B21/32Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring the deformation in a solid
    • EFIXED CONSTRUCTIONS
    • E01CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01CCONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
    • E01C1/00Design or layout of roads, e.g. for noise abatement, for gas absorption
    • E01C1/002Design or lay-out of roads, e.g. street systems, cross-sections ; Design for noise abatement, e.g. sunken road
    • EFIXED CONSTRUCTIONS
    • E01CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01CCONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
    • E01C23/00Auxiliary devices or arrangements for constructing, repairing, reconditioning, or taking-up road or like surfaces
    • E01C23/01Devices or auxiliary means for setting-out or checking the configuration of new surfacing, e.g. templates, screed or reference line supports; Applications of apparatus for measuring, indicating, or recording the surface configuration of existing surfacing, e.g. profilographs
    • EFIXED CONSTRUCTIONS
    • E01CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01FADDITIONAL WORK, SUCH AS EQUIPPING ROADS OR THE CONSTRUCTION OF PLATFORMS, HELICOPTER LANDING STAGES, SIGNS, SNOW FENCES, OR THE LIKE
    • E01F11/00Road engineering aspects of Embedding pads or other sensitive devices in paving or other road surfaces, e.g. traffic detectors, vehicle-operated pressure-sensitive actuators, devices for monitoring atmospheric or road conditions

Definitions

  • the invention relates to a method for characterizing mechanical parameters of a roadway.
  • the invention also relates to an information recording medium, a device for characterizing mechanical parameters of a roadway and a roadway instrumented with this device, for the implementation of this method.
  • the invention finally relates to a method for monitoring the appearance of a defect in a roadway.
  • the term "roadway” refers to a lane specifically configured for the circulation of wheeled vehicles, such as a road pavement, industrial, a port platform or an airstrip.
  • a railway line is not considered a roadway.
  • step c) the determination of the mechanical parameters of the roadway from the measurements of the various sensors and a predetermined model connecting the movements measured by each sensor to the characteristics of the load applied during step a), this model being parameterized by the known position of the different sensors with respect to the pavement and the mechanical parameters to be characterized.
  • BENEDETTO A and Al "Elliptic model for prediction of deflections induced by a light falling weight deflectometer", Journal of Terramhanics, Peragmon Press, Headington Hill Hall, Oxford, GB, Vol. 49, No. 1, October 26, 201, 1, pages 1-12;
  • the invention therefore relates to a method of characterizing k mechanical parameters of a roadway, this roadway being formed by a stack in a Z direction of N layers and delimited by lateral edges, where k and N are integers non-zero, this method being in accordance with claim 1.
  • Embodiments of the invention may have one or more of the features of the dependent claims.
  • step a) the use of a vehicle of mass M and traveling on the roadway at a speed V makes it possible to implement step a) without having to use a falling mass deflectometer.
  • the implementation of step a) is thus simplified and faster because it is no longer necessary to move the deflectometer from place to place.
  • step a) can be implemented with a vehicle of mass M traveling on the roadway at a speed V, where the characteristics M and V are not known a priori. This makes it possible to carry out step a) passively, with any vehicle traveling naturally on the road, rather than with a standard vehicle for which the characteristics M and V are previously known. Step a) and, more generally, the method of characterization can thus be implemented passively, without the need to close the access to the roadway to the vehicles circulating there.
  • the measurement of the speed V from the same sensors as those used to measure the displacement during step b) makes it possible to avoid having to use sensors dedicated to the measurement of V, which simplifies the implementation of process and reduces the cost.
  • the elasticity moduli make it possible to obtain information on the structural state of the roadway.
  • the invention also relates to a method of monitoring the appearance of a defect in a roadway according to claim 8.
  • the invention also relates to an information recording medium, comprising instructions for performing step c) of a method according to the invention when these instructions are executed by an electronic calculator.
  • the invention also relates to a device for characterizing k mechanical parameters of a roadway according to claim 10.
  • the invention also relates to an instrumented roadway according to claim 1 1.
  • the embodiments of the characterization device or the instrumented pavement according to the invention may have the following characteristic: said sensors comprise triaxial accelerometers.
  • FIG. 1 is a schematic illustration, in a view from above, of a portion of an instrumented roadway by means of a device for characterizing mechanical parameters of the roadway;
  • FIG. 2 is a schematic illustration, in a cross-sectional view, of the pavement portion of Figure 1;
  • FIG. 3 is a schematic illustration of a displacement sensor of the roadway of FIG. 1;
  • FIG. 4 is a flowchart of a method for characterizing mechanical parameters of the roadway of FIG. 1;
  • FIG. 5 is a flowchart of a method for monitoring the appearance of a defect in the pavement of FIG.
  • the same references are used to designate the same elements.
  • Figure 1 shows a roadway 2.
  • This roadway 2 extends in directions X and Y not parallel to each other and perpendicular to a Z stacking direction of the layers.
  • the direction Z is vertical.
  • These directions X and Y are here orthogonal and define a horizontal plane.
  • the X, Y and Z directions here define an orthonormal reference R, fixed with respect to the roadway 2.
  • This floor 2 extends here essentially longitudinally in the direction X.
  • the floor 2 is delimited in the Y direction, aisles 4 and 6 by the side edges respectively 10 and 12.
  • This floor 2 is here rectilinear and has a width W, measured along the Y direction.
  • the aisle 4 comprises a zone 14 formed of a material.
  • the aisle 6 has two zones 16 and 18 distinct and immediately consecutive to the direction X. Each of these areas 16, 18 is formed of a different material.
  • the zones 14, 16 and 18 are here each homogeneous in all directions and especially in the Z direction.
  • the mechanical coupling between the lateral edges 10, 12 and the zones 14, 16, 18 is presumed to be known or can be determined experimentally or by modeling of the aisles.
  • the zones 14, 16 are formed of a material that is very little deformable with respect to the materials forming the roadway 2.
  • these zones 14, 16 are identical and are made of concrete.
  • Area 18 is here an earthed shoulder.
  • the reference R has its origin in a point O of the surface of the roadway, located equidistant from the edges 10 and 12. Typically, the origin of the reference R is taken in the center of a study area 19 on which is applied a mechanical excitation. To improve the readability of Figures 1 and 2, this mark R is drawn next to the floor 2.
  • Area 19 corresponds to a portion of the roadway 2 which we want to know the mechanical characteristics.
  • this zone 19 is a rectangular portion of the roadway 2 whose width in the Y direction is greater than the width W of the roadway and whose length in the X direction is less than twenty or fifty meters and preferably less than 10 meters, five meters and advantageously less than two meters.
  • the roadway 2 is bordered by portions of the aisles 4 and 6 formed only, respectively, zones 14 and 16.
  • the zone 19 is not drawn to scale in Figure 1. In this description, the following applies in particular to this study area 19.
  • Figure 2 shows in greater detail this road 2.
  • the road 2 comprises a plurality of N layers, superimposed contiguously one above the other in the direction Z, where N is a non-zero positive integer. These layers are here flat and parallel to each other.
  • the layer at the top of this stack has an outwardly facing upper surface forming a horizontal running surface capable of receiving the circulation of wheeled vehicles, such as motor vehicles.
  • These N layers here bear the references Ci, C 2 , C N , numbered consecutively, where C N designates the deepest layer of the roadway.
  • the depth is measured in the Z direction relative to the running surface 20.
  • the number N is greater than two or three and generally less than ten or twenty.
  • the layer Ci is for example a wearing course in bituminous mix, while the layers C 2 to C N are base or foundation or bonding layers for mechanically supporting the wearing course.
  • the layer C N rests on a base consisting of the same material as the zones 14 and 16.
  • these layers C 2 to C N comprise rubble or a binder.
  • This floor 2 here comprises a device for characterizing its mechanical parameters.
  • the roadway 2 is then called “instrumented roadway”.
  • the mechanical parameters of the roadway 2 that we wish to characterize are the elastic moduli of each of the layers Ci to C N and, more specifically, the Young's modulus and the Poisson's ratio of each of them.
  • layers Ci to C N We denote respectively Ej and Vj the Young's modulus and the Poisson's ratio associated with the layer C where j is an integer between 1 and N.
  • a unit 30 for processing the measurements of the sensors 40 is a unit 30 for processing the measurements of the sensors 40.
  • the reference 40 points only to a limited number of copies of this sensor 40.
  • the unit 30 comprises:
  • the interface 36 is able to collect the various measurements made by the sensors 40.
  • the computer 32 executes instructions recorded in the support 34.
  • the support 34 comprises in particular instructions for executing the methods of FIGS. 4 and 5. .
  • This unit 30 is here placed on one side of the road 2, preferably in the zone 19.
  • Each of the sensors 40 is capable of: - measure, directly or indirectly, a displacement in at least three non-parallel directions, and
  • the sensors 40 are located inside the zone 19. In this example, these sensors 40 are buried in the different layers of the roadway so that each layer comprises, in the zone 19, a number of sensors greater than or equal to the number of mechanical parameters to be characterized for this layer.
  • each layer thus comprises, within the zone 19, at least two sensors 40.
  • each layer comprises, inside the zone 19, at least three sensors 40, not aligned with each other.
  • the position of these sensors 40 with respect to the roadway is known or determinable.
  • Sensors 40 are here distributed within each layer along at least two different horizontal directions.
  • the sensors 40 are not aligned along the same axis within the zone 19.
  • the sensors 40 are distributed so as not to be concentrated at one and the same point of the roadway.
  • This sensor 40 further comprises an identifier making it possible to identify, in a unique way, preferably without contact, each copy of the sensor 40 among all the sensors 40 present inside the roadway 2.
  • the accuracy of the measurement of the displacement undergone by the roadway is increased, especially in the deepest layers, compared to the case where the sensors are placed only in pavement surface.
  • This sensor 40 comprises here:
  • control module 50 connected, in particular, to the assembly 44 and to the interface 46.
  • the shell 42 is able to withstand the stages of manufacture of the roadway, such as compaction or contact with hot bitumen during the construction of the roadway.
  • the shell 42 is also able to withstand the passage of vehicles on the road, in particular the passage of heavy vehicles or industrial vehicles (such as container carriers) having an axle load greater than two or five tons and lower or equal to one hundred and twenty tons.
  • This shell 42 advantageously has a reduced volume so as not to degrade the properties or the shape of the roadway when the sensor 40 is buried inside the roadway.
  • This volume is for example less than or equal to 20 cm 3 or 10 cm 3 and, preferably, less than or equal to 5 cm 3 or 2 cm 3 .
  • This volume presents here a cubic or spherical form.
  • the assembly 44 is particularly capable of measuring a displacement in at least three non-parallel directions. Typically, these three directions are orthogonal to each other.
  • the assembly 44 comprises for this purpose a transducer 60 capable of measuring a physical quantity representative of the local displacement of the sensor 40 in the roadway.
  • the transducer 60 is a tri-axis accelerometer sold by the company "STMicroelectronics" under the reference “LSM303DLH”. Although the accelerometer does not directly measure a displacement, this displacement can be calculated in a known manner from the measured acceleration, for example by integrating the measured acceleration with respect to time.
  • This transducer 60 is here able to measure a displacement between 1 ⁇ and 1 mm and preferably between 10 ⁇ and 500 ⁇ .
  • the assembly 44 further comprises a temperature probe 62, such as the sensor marketed by the company "Colibrys" under the reference "MS9002".
  • the assembly 44 also comprises a tri-axis magnetometer 64.
  • the distance between the sensors 40 is chosen in particular according to the sensitivity of each of the transducers 60.
  • the transducers 60 have a sensitivity such that the transducers 60 located beyond ten or fifteen meters from the point where a displacement excitation is applied does not measure any displacement.
  • the interface 46 is able to transfer measured data to the interface 36.
  • This interface 46 here comprises an RFID antenna, such as the antenna described in the patent application WO 201 1/157941 A1.
  • This interface 46 is advantageously configured to provide the identifier of the sensor 40 at the same time as the measurements made by the assembly 44.
  • the module 48 electrically feeds the assembly 44, the interface 46 and the module 50.
  • This module 48 comprises for example a battery or an energy harvesting device ("energy harvesting" in English).
  • the module 50 is here a microcontroller.
  • the pavement 2 is modeled by means of a predetermined model M G ,
  • This model M G connects the local displacements of the roadway at a point to the characteristics of a mechanical excitation applied to the roadway to deform it.
  • This model M G is parameterized by mechanical parameters of the roadway including in particular k mechanical parameters of the roadway 2, corresponding here to the Young moduli Ei to E N and the Poisson coefficients Vi to v N. Also, in this embodiment, k is 2 * N.
  • This model M G is presented here in the form of one or more differential equations (or, more precisely, of partial differential equations) involving time.
  • the model links, for any point I of the roadway 2, the characteristics of the mechanical excitation applied in the zone 19, the displacement of this point I obtained in response to this excitation. Subsequently, the position of the point I in the R mark is denoted X ,.
  • the mechanical excitation is generated by the passage on the surface 20 of a vehicle mass M moving on the road 2 at a constant speed V.
  • the mass M and the speed V are here the characteristics of the mechanical excitation.
  • the pavement 2 is modeled by modeling the individual behavior of each layer Cj by a predetermined submodel Mj of this layer.
  • This sub-model Mj is, for example, the model described in the documents "The response of a layered half-space to traffic loads moving along its surface" by H. Grundmann et al. ; Archive of Applied Mechanics, vol. 69, p. 55-67, Springer-Verlag 1999 and "Dynamic effect of moving loads on road pavements: A review" by N. Beskou et al. ; Soil Dynamics and Earthquake Engineering, vol. 31, p. 547-567, 201 1 (section 3.2 and in particular equations 20 to 27 of this document).
  • This submodel Mj corresponds to the following partial differential equation:
  • the sub-model Mj connects the displacement field of this layer to the mechanical parameters of this layer and to the characteristics of the mechanical excitation undergone by this layer.
  • the k mechanical parameters are the first and second coefficients of Lamé Aj and ⁇ ; of each layer Q, and not the Young moduli Ej and the Poisson coefficients Vj of each layer.
  • This model involves, in addition to k parameters, the mass density pj of each layer.
  • This mass density pj is supposed to be known. For example, this mass density pj is measured experimentally for each layer.
  • the mechanical excitation is that applied to the surface 20 by the passage of the vehicle.
  • the mechanical excitation is that transmitted by the next higher layer.
  • Boundary conditions are added to solve the system of partial differential equations of this model. These boundary conditions are specifically chosen according to the configuration of the roadway 2, and according to at least the X and Y directions. These boundary conditions are here defined with reference to the displacement field of each layer as follows:
  • the displacement field is zero outside the roadway beyond the edges 10 and 12 and, in particular, in the zones 14 and 16 of the aisles, and
  • the roadway 2 is provided, instrumented by means of the characterization device.
  • this roadway 2 is previously instrumented, by drilling thin channels inside the layers of the roadway 2 to locate the sensors 40.
  • the roadway 2 thus comprises the sensors 40.
  • absolute position of each of these sensors 40 is here known, for example, because we took care to raise the position of each of these sensors 40 during their implantation inside the roadway 2. By absolute position, the position is designated relative to the reference reference R.
  • the model M G is automatically acquired and the boundary conditions are defined according to the characteristics of the roadway 2 and the aisles 4 and 6.
  • the chosen boundary conditions are those previously described.
  • a step 104 the roadway is mechanically excited to deform this road, for example by applying a load on the surface 20.
  • this load is applied by circulating on the surface 20 of the roadway 2, to the constant speed V, a vehicle having the mass M.
  • the mass M is between half a ton and one hundred and twenty tons at the axle.
  • the speed V is here between 10km / h and 150 km / h.
  • step 106 the displacement of each of the sensors 40 is measured, in response to the excitation applied in step 104, by the accelerometer 60 of each sensor 40.
  • step 106 proceeds partially simultaneously with step 104.
  • each of the sensors 40 is measured.
  • Note D (Xi, t) the displacement measured by the i-th sensor 40 with respect to its initial position in the roadway 2, where the index i identifies the sensor having made this measurement, and X, is the position of this i-th sensor in the reference R.
  • the initial position of a sensor 40 is here the position occupied by this sensor in the absence of excitation carriageway mechanics 2.
  • the excitation is applied by a vehicle moving on the surface and not by a load applied punctually at a specific point of the roadway.
  • the layers of the roadway 2 located inside the zone 19 then undergo, as the vehicle moves on the surface 20, a mechanical excitation which deforms them and which therefore causes the sensors 40 to move.
  • the accelerometer 60 of each sensor 40 measures the corresponding instantaneous acceleration at regular intervals to obtain a temporal sequence of measurements corresponding to the displacement D (Xi, t) of this point Xi over time.
  • the instantaneous displacement field of all the sensors 40 is measured in each layer of the roadway 2 in response to the excitation. These successive recordings are for example made from the beginning of the excitation, with a constant sampling frequency.
  • each probe 62 the temperature is measured by each probe 62, and the evolution over time of the local magnetic field is measured by each magnetometer 64.
  • the measurement of the temperature T in each layer makes it possible to know for which temperature conditions each of the k parameters is obtained by the method. Indeed, the values of the parameters E ,, v, vary according to the temperature.
  • the data measured by these sensors are advantageously transmitted to the unit 30.
  • the displacement field measured for each of the layers Ci to C N is available .
  • the mass M and the speed V of this vehicle are not known a priori.
  • the speed V and the mass M are estimated from the data measured during the step 106.
  • the determination of the speed V is here carried out automatically, according to known methods, using the data measured by the accelerometers 60 during the step 106.
  • the known methods are based on the correlation between displacement signals measured at different locations by different sensors in response to the passage of the same vehicle. For example, the passage of the vehicle causes a displacement measured by a first sensor. This displacement is then measured by a second remote sensor, a few moments later. Knowing the distance separating these two sensors and the delay separating the measurement instants from these displacements, the speed V at which the vehicle is traveling can be estimated.
  • Such a method is for example described in the document "Traffic Surveillance by Wireless Sensor Networks" of S-Y. Cheung, Department of Mechanical Engineering, University of California, Berkeley, USA, 2006.
  • the mass M is here determined by means of the data measured by the magnetometers 64. These data make it possible to estimate the "magnetic mass" of the vehicle traveling during step 104.
  • the magnetic signature of vehicle for example due to the amount of magnetic metallic material contained in this vehicle.
  • this magnetic signature is recorded, then compared to a reference database to estimate the value of the mass M.
  • This database comprises for example a plurality of predefined signatures each associated with the mass of a corresponding vehicle.
  • This database is for example obtained beforehand by calibration, by circulating on the road vehicles of known mass and recording their respective magnetic signature.
  • the excitation of the roadway is achieved by vehicles traveling naturally on the roadway 2.
  • the process can thus be implemented continuously and passively on a roadway 2, without it being necessary. of closing the roadway 2 to traffic or mobilize specific equipment to perform step 104.
  • the implementation of the process is then greatly simplified.
  • the k physical parameters are determined automatically from the model M G and measured displacement fields.
  • these parameters are determined by inversion of the pavement model, using known numerical methods. For example, we proceed as follows, by successive iterations.
  • initial values ° Ei to ° E N and ° vi to ° v N are first fixed for each of the k mechanical parameters
  • the values of the k mechanical parameters of the roadway are adjusted to minimize the error between the displacement D (x, t) measured and the theoretical displacement D (x, t) calculated previously.
  • this minimization is carried out according to the criterion of the least squares, by determining the values of the k mechanical parameters which minimize the following function:
  • This acceptable limit is here less than 5% or 1% and preferably less than 0.01%.
  • step 110 there is thus a value for all k mechanical parameters Ei to E N and Vi to v N characterizing the roadway.
  • This process starts with steps 100 and 102 previously described.
  • reference intervals are predefined for each of the k mechanical parameters of the roadway 2 modeled by the model M G.
  • these reference ranges define value ranges within which each of the k mechanical parameters is considered to have a normal value, indicating a normal state of the roadway 2.
  • steps 104 to 1 10 of the method of Figure 4 are successively implemented to characterize these k mechanical parameters.
  • Step 132 the values of k mechanical parameters obtained at the end of step 1 10 are compared with the corresponding reference intervals predefined during step 130. If at least one of the k mechanical parameters has a value located outside the corresponding reference interval, then the roadway 2 is said to have a defect. An alert is then emitted during a step 134, for example by the unit 30. On the other hand, if all the k mechanical parameters have values included in their respective reference intervals, then the roadway 2 is said not to present any default. Step 104 and the following are then implemented again. Here, the implementation of these steps is triggered by each passage of a motor vehicle.
  • the direction Z is not vertical.
  • the roadway 2 does not necessarily extend in the X direction.
  • the pavement model may be different.
  • the submodels Mj may not correspond to the different layers, the same submodel including, for example, several adjacent layers Cj.
  • Pavement 2 may also not be modeled using sub-models for each of the layers. For example, all the layers of pavement 2 are modeled as a beam on an elastic support, using the model described in section 3.1 of the article by N. Beskou et al. previously cited.
  • the number k of mechanical parameters may be different. For example, not all layers are characterized by the same number of mechanical parameters. This is particularly the case if the values of some of these parameters are already known so that it is not necessary to estimate them again.
  • the layers may have different shapes. For example, these layers have a curved shape in the Z direction.
  • boundary conditions can be chosen differently.
  • the boundary conditions at the edges of the road may differ depending on the nature of the materials forming the aisles 4 and 6.
  • the boundary conditions of the aisles of the roadway are taken into account according to only one of the directions X or Y, provided that this direction does not coincide with the direction in which the roadway 2 extends, that is, there is at least one point of intersection between this direction and one of the lateral edges of the roadway 2.
  • the zone 19 may be defined differently and may in particular have a different shape.
  • the aisles encompassed by the zone 19 comprise the zones 14, 16 and also the zone 18.
  • the boundary conditions of the model are adapted accordingly, especially if the zone 18 has a nature different from that zones 14 and 16.
  • this zone 18 is an earthed shoulder.
  • the zone 19 moves along the roadway 2 as the vehicle applying the mechanical excitation moves on the surface 20.
  • the layer C N does not rest on a base, but itself forms a base on which the other layers rest.
  • This layer C N then for example has a thickness at least ten times or a hundred times greater than the thickness of the other layers, so that this layer C N can be modeled by a semi-infinite layer extending indefinitely along the Z direction in a direction opposite to that of the surface 20.
  • the thickness of a layer is presumed to be homogeneous and is measured in the Z direction.
  • the boundary conditions in the Z direction for this layer C N are modified. consequently, for example by imposing a zero displacement value at infinity according to Z.
  • the unit 30 is embedded in a vehicle traveling on or near the roadway 2.
  • this vehicle is the same as that which causes the excitation during step 106.
  • the unit 30 can also be placed in a place distant from the zone 19 and the roadway 2, for example in a single site centralizing the surveillance of several pavements identical to the roadway 2.
  • a collector is then placed in the zone 19 in order to collect the data transmitted by the sensors 40 and to relay these data to the unit 30.
  • the sensors 40 are not buried. One or more of the sensors 40 may also be straddling between two layers.
  • the sensor 40 may be different.
  • the assembly 44 may be different.
  • the transducer 60 is replaced by an acoustic sensor, able to measure a pressure field in the layer.
  • This acoustic sensor is for example an electret microphone or ceramic lead titanium zirconate (PZT).
  • Transducer 60 can also be replaced by a geophone.
  • the measurement of the speed V during the step 106 is implemented differently, for example according to the manner described in the document "Acoustic Sensor Network for Vehicle Traffic Monitoring by B. Barbagli et al; VEHICULAR 2012: The First International Conference on Advances in Vehicular Systems, Technology and Applications, 2012.
  • step 100 includes a preliminary operation of locating these sensors. For example, a predefined excitation is applied to the roadway and the response of each of the sensors is measured to determine their measurement directions. Simultaneously, the position of these sensors is identified by means of the identifier and by triangulation during the reception of the signals emitted by each sensor 40. In another example, the estimation of the measurement directions of the sensors is carried out by means of the a method known per se of static attitude estimation, from the data measured by the tri-axis accelerometer and the tri-axis magnetometer.
  • Sensors 40 may be present in the roadway 2 outside the zone 19. For example, sensors 40 are placed over the entire length of the roadway 2. Due to the limited sensitivity of the sensors, however, it is considered that the sensors located outside the zone 19 measure only a zero displacement.
  • the sensors 40 may not be placed in all the layers C i to C N.
  • the sensors 40 are all placed inside the C N layer.
  • the interface 46 may comprise an antenna extending outside the shell 42, or on an outer face of this shell 42. In a variant, the interface 46 includes a wire connection connected to the interface 36.
  • the module 48 may be different. This module 48 may comprise a wired or wireless power system allowing it to be recharged by a source of energy outside the road 2.
  • the temperature probe 62 may be different.
  • this probe 62 is a platinum probe, such as a PT100 probe.
  • the probe 62 can also be omitted if one chooses not to measure the temperature.
  • the displacement field can be measured differently. For example, the displacement of one of the sensors is recorded following the beginning of the excitation. The moment ÎMAX where this displacement reaches its maximum value is raised. Then, only the displacements D (Xi, Î M AX) are taken into account to determine the k mechanical parameters. Thus, the time dependence can be omitted, which simplifies the characterization of the k mechanical parameters.
  • Step 104 several vehicles can travel simultaneously on the roadway 2.
  • Step 108 then comprises a processing operation of the data measured during step 106 to separate the contributions of each of these vehicles, following methods of separation of known sources in the field of sensors for the management of urban traffic.
  • the value of the speed V is measured with additional sensors separate elements 44 used to measure displacements. These additional sensors may be located in the roadway 2 outside the sensors 40 or outside the roadway 2.
  • the mass M can be measured differently, for example by means of accelerometers 60 according to known techniques, such as that described in the document "Vehicle weight estimates using a buried three-axis seismometer" by J. LeMond et al. ; Part of the SPIE Conference on Sensors, C31, Information and Training Technologies for Law Enforcement, Boston, Mass., SPIE Vol. 3577, November 1998. In this case, the number of sensors 40 inside each layer may be greater than that described.
  • the magnetometer 64 can then be omitted.
  • the values of the characteristics M and V may already be known, for example when step 104 is implemented by means of a standard vehicle. In this case, step 108 and magnetometer 64 are omitted.
  • Step 104 may be implemented by means of a falling mass deflectometer.
  • the equivalent M and V characteristics are defined for the model, depending on the setting parameters of the deflectometer.
  • Those skilled in the art know that there is an empirical correspondence between the characteristics M, V and the adjustment parameters of the deflectometer. For example, one can build a model that accepts the characteristics of the falling load. In this case, step 106 is omitted.
  • moduli of elasticity can be used, such as Lamé coefficients.
  • the model is adapted accordingly.
  • the person skilled in the art knows that there are mutually interconnecting relationships between these different moduli of elasticity.
  • step 1 Other inversion methods can be used during step 1 to reverse the pavement model.

Landscapes

  • Engineering & Computer Science (AREA)
  • Architecture (AREA)
  • Civil Engineering (AREA)
  • Structural Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Road Repair (AREA)
  • Length Measuring Devices With Unspecified Measuring Means (AREA)
EP14741317.3A 2013-07-22 2014-07-21 Verfahren zur charakterisierung der mechanischen parameter einer fahrbahn Withdrawn EP3025123A1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR1357212A FR3008789B1 (fr) 2013-07-22 2013-07-22 Procede de caracterisation de parametres mecaniques d'une chaussee
PCT/EP2014/065573 WO2015011067A1 (fr) 2013-07-22 2014-07-21 Procede de caracterisation de parametres mecaniques d'une chaussee

Publications (1)

Publication Number Publication Date
EP3025123A1 true EP3025123A1 (de) 2016-06-01

Family

ID=49713173

Family Applications (1)

Application Number Title Priority Date Filing Date
EP14741317.3A Withdrawn EP3025123A1 (de) 2013-07-22 2014-07-21 Verfahren zur charakterisierung der mechanischen parameter einer fahrbahn

Country Status (4)

Country Link
US (1) US20160161251A1 (de)
EP (1) EP3025123A1 (de)
FR (1) FR3008789B1 (de)
WO (1) WO2015011067A1 (de)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109241636B (zh) * 2018-09-11 2023-03-24 合肥工业大学 基于有限元的路面结构多物理场耦合数值模拟方法
CN109631824B (zh) * 2018-12-20 2019-11-12 中国矿业大学 一种巷道迎头空顶区顶板变形量监测装置及方法
IT201900006613A1 (it) * 2019-05-07 2020-11-07 Bridgestone Europe Nv Sa Metodo e sistema per il riconoscimento delle irregolarita' di una pavimentazione stradale
FR3100550B1 (fr) * 2019-09-11 2021-10-22 Eurovia Procédé d'entretien d'une route équipée d'un système de mesure
CN115059514B (zh) * 2022-07-14 2023-05-02 中国矿业大学 基于空间形变监测的矿井灾害预警智能机器人及预警方法
CN116556151B (zh) * 2023-05-10 2024-04-23 武汉市市政路桥有限公司 一种路基路面弯沉测量车
CN120196892B (zh) * 2025-03-13 2026-04-17 哈尔滨工业大学 一种内嵌传感器与沥青混合料协调变形行为的评价方法

Family Cites Families (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CH631766A5 (fr) * 1979-06-21 1982-08-31 Map Sa Appareil de mesure et d'enregistrement des deflections.
US4958306A (en) * 1988-01-06 1990-09-18 Pacific Northwest Research & Development, Inc. Pavement inspection apparatus
US5036709A (en) * 1989-06-06 1991-08-06 Mcrae John L Paving materials testing machine
US5111897A (en) * 1990-09-27 1992-05-12 Bridge Weighing Systems, Inc. Bridge weigh-in-motion system
US5248200A (en) * 1992-10-16 1993-09-28 The United States Of America As Represented By The Secretary Of The Army Portable asphalt stress and strain measuring device
US5361642A (en) * 1993-08-03 1994-11-08 The United States Of America As Represented By The Secretary Of The Army Column-based stress gauge
US5614670A (en) * 1993-10-29 1997-03-25 Board Of Regents, The University Of Texas System Movable seismic pavement analyzer
US5798949A (en) * 1995-01-13 1998-08-25 Kaub; Alan Richard Traffic safety prediction model
US5528935A (en) * 1995-11-08 1996-06-25 The United States Of America As Represented By The Secretary Of The Army Stress and velocity gauge
US6075466A (en) * 1996-07-19 2000-06-13 Tracon Systems Ltd. Passive road sensor for automatic monitoring and method thereof
US5659140A (en) * 1996-08-13 1997-08-19 Pavement Technology, Inc. Testing machine for pavement samples
US6556927B1 (en) * 1998-08-26 2003-04-29 Idaho Transportation Department Picostrain engineering data acquisition system
CH692559A5 (fr) * 1998-09-16 2002-07-31 S C A I M E S A Capteur d'effort de compression.
FR2785678B1 (fr) * 1998-11-05 2001-01-26 France Etat Ponts Chaussees Procede et appareil pour mesurer la portance d'une plateforme
CA2310149C (en) * 2000-05-30 2004-12-07 International Road Dynamics Inc. In road vehicle axle sensor
GB0103665D0 (en) * 2001-02-15 2001-03-28 Secr Defence Road traffic monitoring system
US7331242B2 (en) * 2002-08-23 2008-02-19 Ohio University System for testing paving materials
US7668692B2 (en) * 2005-10-11 2010-02-23 Tatom Frank B Method for weighing vehicles crossing a bridge
SI1806710T1 (sl) * 2005-12-29 2010-06-30 Aldo Tonelli Senzor integriran v sloju cementnega materiala tlaka in varnostni sistem ki vključuje tak senzor
WO2008017158A1 (en) * 2006-08-09 2008-02-14 Universite Laval Retrofitable pavement strain gauge
US7552648B2 (en) * 2007-09-28 2009-06-30 Halliburton Energy Services, Inc. Measuring mechanical properties
AU2010307335B2 (en) * 2009-10-16 2014-11-27 Dynatest International A/S Determination of subgrade modulus and stiffness of pavement layers for measurement bearing capacity under fast moving wheel load
GB2486377B (en) * 2009-10-16 2017-06-14 Dynatest Int As Triangulation of pavement deflections using more than four sensors
NL2004751C2 (nl) * 2010-05-20 2011-11-22 Ooms Nederland Holding B V Testinrichting.
WO2012012903A1 (en) * 2010-07-30 2012-02-02 Universite Laval Pavement stress analysis sensor
US8990032B2 (en) * 2010-12-30 2015-03-24 Sensys Networks, Inc. In-pavement wireless vibration sensor nodes, networks and systems
WO2013090830A1 (en) * 2011-12-16 2013-06-20 University Of Southern California Autonomous pavement condition assessment
US9395287B2 (en) * 2012-04-06 2016-07-19 Ingios Geotechnics, Inc. Mobile test system and methods for in situ characterization of stress and deflection dependent stiffness and bearing capacity of soils and geo-materials
US8744822B2 (en) * 2013-08-08 2014-06-03 Iteris, Inc. Pavement condition analysis from modeling impact of traffic characteristics, weather data and road conditions on segments of a transportation network infrastructure

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
None *
See also references of WO2015011067A1 *

Also Published As

Publication number Publication date
FR3008789B1 (fr) 2023-05-12
FR3008789A1 (fr) 2015-01-23
US20160161251A1 (en) 2016-06-09
WO2015011067A1 (fr) 2015-01-29

Similar Documents

Publication Publication Date Title
EP3025123A1 (de) Verfahren zur charakterisierung der mechanischen parameter einer fahrbahn
Lekshmipathy et al. Effect of combining algorithms in smartphone based pothole detection
EP2904595B1 (de) Kapazitiver sensor zum detektieren der anwesenheit eines gegenstandes und/oder eines individuums
EP1811479B1 (de) Magnetsystem zur Verkehrsregelung
EP2369369B1 (de) Methode zur Überwachung eines geologischen Gasreservoirs durch stratigraphische Inversion seismischer Daten
FR2835919A1 (fr) Mesure de coefficient d'adherence maximal a partir de la connaissance des efforts et du couple d'autoalignement generes dans l'air de contact d'un pneu
FR2599150A1 (fr) Procede et dispositif de controle mecanique de revetements d'ouvrages d'art
FR3057606A1 (fr) Systemes et procedes d utilisation d un capteur pour fournir une resolution spatiale dans la detection de fuite en fond de puits
EP4185845B1 (de) Verfahren zur überwachung des physikalischen zustands einer schiene
EP3234542B1 (de) System zur bewertung des zustands eines reifens mit einer vorrichtung zur erkennung der fahrtrichtung
Aksamit et al. Distributed, mobile, social system for road surface defects detection
FR2990277A1 (fr) Procede et appareil de surveillance electromagnetique de formations souterraines
EP3556287B1 (de) Kalibrierungsverfahren eines magnetometernetzwerks
EP2957867B1 (de) Lokalisierungsverfahren eines geräts, das in einem dreidimensionalen raum bewegt wird
Nielsen et al. Inference of pavement properties with roadside accelerometers
EP2827169B1 (de) Instrumentierungsverfahren eines Behälters, der dazu bestimmt ist, in Bewegung gesetzt zu werden, insbesondere zum Kneten einer Gesamtheit von Materialien
EP3803637B1 (de) Verfahren zur bestimmung einer verschiebung von mindestens einem referenzpunkt eines objekts und system zur umsetzung des verfahrens
Staniek Repeatability of road pavement condition assessment based on three-dimensional analysis of linear accelerations of vehicles
Skar et al. Pavement instrumentation with near surface LVDTs
EP3548930B1 (de) Verfahren zur verbesserung von seismischen aufnahmen mithilfe von aktiven ultraleichten systemen zur seismischen detektion
FR3100550A1 (fr) Procédé d'entretien d'une route équipée d'un système de mesure
FR3047814B1 (fr) Procede de determination de ripages d'un rail d'une voie ferree en domaine absolu
Altmann et al. Identification of damaging road events using pseudo damage density
CN109024198A (zh) 一种基于被动源随机激励的道面内部损伤检测方法
CN121167603A (zh) 陷车识别方法、电子设备及车辆

Legal Events

Date Code Title Description
TPAC Observations filed by third parties

Free format text: ORIGINAL CODE: EPIDOSNTIPA

PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

17P Request for examination filed

Effective date: 20160108

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

AX Request for extension of the european patent

Extension state: BA ME

DAX Request for extension of the european patent (deleted)
STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: EXAMINATION IS IN PROGRESS

17Q First examination report despatched

Effective date: 20171012

GRAP Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOSNIGR1

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: GRANT OF PATENT IS INTENDED

RIC1 Information provided on ipc code assigned before grant

Ipc: E01F 11/00 20060101ALI20180418BHEP

Ipc: E01C 23/01 20060101ALI20180418BHEP

Ipc: G01B 21/32 20060101AFI20180418BHEP

INTG Intention to grant announced

Effective date: 20180508

RAP1 Party data changed (applicant data changed or rights of an application transferred)

Owner name: COMMISSARIAT A L'ENERGIE ATOMIQUE ET AUX ENERGIES

Owner name: COLAS

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION IS DEEMED TO BE WITHDRAWN

18D Application deemed to be withdrawn

Effective date: 20180919