CN113447342B - Method for identifying modulus of each layer and contact state between layers of asphalt pavement - Google Patents
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Abstract
A method for identifying modulus of each layer and contact state between layers of an asphalt pavement belongs to the technical field of pavement monitoring. The invention aims to solve the problem that the calculation result is not unique in the existing method for evaluating the modulus of each layer and the contact state between layers of the asphalt pavement. The method comprises the following steps: arranging a soil pressure gauge, a horizontal strain sensor and a vertical strain sensor at the bottom of each layer of different material layers of the asphalt pavement; calculating different moduli of each material layer, and the layer bottom vertical stress, the layer bottom horizontal strain and the layer bottom vertical strain under the interlayer contact state; establishing mapping relations among the modulus of each layer, the contact state among the layers, the bottom vertical stress of each layer, the bottom horizontal strain and the bottom vertical strain; and finally, calculating to obtain the true modulus of different material layers and the true interlayer contact state according to the measured layer bottom vertical stress amplitude, the layer bottom horizontal strain amplitude and the layer bottom vertical strain amplitude on the basis of the mapping relation. The invention can calculate the modulus of each layer and the contact state between layers.
Description
Technical Field
The invention relates to a method for identifying modulus of each layer and contact state between layers of an asphalt pavement, belonging to the technical field of pavement monitoring.
Background
The service performance of the asphalt pavement can be gradually attenuated under the action of repeated load and complex environment. The load-bearing capacity of the road surface is mainly represented by deterioration in the modulus of each layer and the contact state between layers. The real-time accurate acquisition of the modulus of each layer and the contact state between the layers of the asphalt pavement is of great importance to the analysis of the mechanical behavior of the pavement and the evaluation of the service performance.
In the past scientific research and engineering application, the detection of the pavement is generally carried out by adopting an external nondestructive detection technology, for example, the modulus of each layer of the asphalt pavement and the interlayer contact state are inversely calculated through detection results such as a drop weight deflectometer, a stress wave testing technology and the like. The methods have the defects that the back calculation result is not unique, the detection operation can be carried out only regularly, the traffic is influenced in the implementation process and the like. Therefore, a monitoring method is needed to realize real-time, efficient and accurate identification of the modulus of each layer and the contact state between the layers of the asphalt pavement.
Embedded sensor monitoring technology has been applied to road engineering on a certain scale. The embedded sensor can acquire the stress state inside the pavement in real time, and is expected to evaluate the modulus of each layer of the asphalt pavement and the contact state between the layers in real time. However, the mechanical response obtained by the existing monitoring method cannot solve the problem of non-uniqueness of the inverse calculation result of the modulus of each layer and the contact state between layers in practical use.
Disclosure of Invention
The invention provides a method for identifying the modulus of each layer and the interlayer contact state of an asphalt pavement, aiming at the problem that the calculation result is not unique in the existing method for evaluating the modulus of each layer and the interlayer contact state of the asphalt pavement.
The invention relates to a method for identifying modulus of each layer and contact state between layers of an asphalt pavement, which comprises the following steps,
arranging a soil pressure gauge, a horizontal strain sensor and a vertical strain sensor at the bottom of each layer of different material layers of the asphalt pavement;
firstly, calculating different moduli of each material layer and the corresponding bottom vertical stress, bottom horizontal strain and bottom vertical strain of each material layer under the interlayer contact state by a finite element method or an analytical method;
then establishing a mapping relation among the modulus of each layer, the contact state between layers, the bottom vertical stress of each layer, the bottom horizontal strain and the bottom vertical strain through a machine learning algorithm;
and finally, based on the mapping relation, calculating and obtaining the true modulus of different material layers and the true interlayer contact state according to the layer bottom vertical stress amplitude measured by the soil pressure gauge under the action of an external load, the layer bottom horizontal strain amplitude measured by the horizontal strain sensor and the layer bottom vertical strain amplitude measured by the vertical strain sensor.
According to the method for identifying the modulus of each layer of the asphalt pavement and the interlayer contact state, the interlayer contact state is characterized by adopting the tangential stiffness coefficient of the Goodman model.
According to the method for identifying the modulus of each layer and the contact state between the layers of the asphalt pavement, the value range of the tangential stiffness coefficient is [0, + ∞ ];
when the tangential stiffness coefficient takes 0, the interlayer contact state is a completely smooth state between layers, and when the tangential stiffness coefficient takes + ∞, the interlayer contact state is a completely continuous state between layers.
According to the method for identifying the modulus of each layer and the interlayer contact state of the asphalt pavement, calculating the corresponding horizontal strain of the bottom of each layer under different interlayer contact states comprises the following steps:
and respectively calculating the horizontal strain of the bottom layer under the completely smooth state between layers, the completely continuous state between layers and the incompletely continuous state between layers.
According to the method for identifying the modulus of each layer and the interlayer contact state of the asphalt pavement, the degree of the interlayer contact state is defined as 1- (the horizontal strain amplitude of the bottom of the layer in the interlayer incomplete continuous state-the horizontal strain amplitude of the bottom of the layer in the interlayer complete continuous state)/(the horizontal strain amplitude of the bottom of the layer in the interlayer complete smooth state-the horizontal strain amplitude of the bottom of the layer in the interlayer complete continuous state).
According to the method for identifying the modulus of each layer and the interlayer contact state of the asphalt pavement, the value range of the interlayer contact state degree is [0, 1], when the value of the interlayer contact state degree is 0, the interlayer contact state is a completely smooth interlayer state, and when the value of the interlayer contact state degree is 1, the interlayer contact state is a completely continuous interlayer state.
According to the method for identifying the modulus of each layer and the contact state between the layers of the asphalt pavement, the establishment process of the mapping relation comprises the following steps:
and establishing a mapping relation among the modulus of each layer, the degree of the interlayer contact state, the bottom vertical stress of each layer, the bottom horizontal strain and the bottom vertical strain by taking the degree of the interlayer contact state as a key characteristic of the interlayer contact state.
According to the method for identifying the modulus of each layer and the interlayer contact state of the asphalt pavement, the modulus of each layer and the interlayer contact state degree are calculated by adopting the mapping relation according to the vertical stress amplitude of the bottom of the layer measured by the soil pressure gauge, the horizontal strain amplitude of the bottom of the layer measured by the horizontal strain sensor and the vertical strain amplitude of the bottom of the layer measured by the vertical strain sensor;
and then determining the real interlayer contact state by utilizing the monotonous relation between the interlayer contact state degree and the interlayer contact state.
The invention has the beneficial effects that: according to the invention, an embedded sensor monitoring technology and a layered system mechanical theory are combined, and the arrangement scheme of the sensors is optimized firstly, so that the mechanical response obtained by monitoring can comprehensively reflect the modulus of each layer and the interlayer contact state of the asphalt pavement, and the problem that the back calculation result is not unique is solved.
According to the invention, through the mechanical response obtained by monitoring the embedded sensing device under the action of external load, the modulus of each layer and the contact state between layers can be back-calculated, and the back-calculation result is convergent and unique. Compared with an external nondestructive testing technology, the method can realize real-time, efficient and accurate evaluation of the rigidity attenuation conditions of each layer and each interlayer of the asphalt pavement, and has important guiding significance for optimization of the asphalt pavement structure and establishment of a long-term service performance model.
The implementation of the method does not influence real-time traffic, and the method is more applicable and popularized.
Drawings
FIG. 1 is a flowchart illustrating the method for identifying the modulus of each layer and the contact state between layers of the asphalt pavement according to the present invention;
FIG. 2 is a schematic diagram of the burying of a soil pressure gauge, a horizontal strain sensor and a vertical strain sensor;
FIG. 3 is a schematic diagram of a method for determining an interlayer tangential stiffness coefficient.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.
The invention is further described with reference to the following drawings and specific examples, which are not intended to be limiting.
In a first embodiment, referring to fig. 1 and fig. 2, the present invention provides a method for identifying modulus of each layer and contact state between layers of an asphalt pavement, including,
arranging a soil pressure gauge, a horizontal strain sensor and a vertical strain sensor at the bottom of each layer of different material layers of the asphalt pavement;
firstly, calculating different moduli of each material layer and the corresponding bottom vertical stress, bottom horizontal strain and bottom vertical strain of each material layer under the interlayer contact state by a finite element method or an analytical method;
then establishing a mapping relation among the modulus of each layer, the contact state between layers, the bottom vertical stress of each layer, the bottom horizontal strain and the bottom vertical strain through a machine learning algorithm;
and finally, based on the mapping relation, calculating and obtaining the true modulus of different material layers and the true interlayer contact state according to the layer bottom vertical stress amplitude measured by the soil pressure gauge under the action of an external load, the layer bottom horizontal strain amplitude measured by the horizontal strain sensor and the layer bottom vertical strain amplitude measured by the vertical strain sensor.
In the embodiment, the soil pressure gauge is used for monitoring the vertical stress of the bottom of the layered layers of different materials; the horizontal strain sensor and the vertical strain sensor are respectively used for monitoring the horizontal strain and the vertical strain of the bottom of the layer. Based on the mechanics theory of the layered system, the vertical stress of each bottom layer has high correlation with the modulus ratio of each layer, and the horizontal strain and the vertical strain are simultaneously related with the modulus ratio of each layer, the modulus of the layer and the contact state between the bottom layers of the layer.
The pavement structure is roughly divided into a surface layer, a base layer and a roadbed, wherein the surface layer is an asphalt layer and is formed by layering and paving different asphalt mixtures; the base course is generally cement stabilized macadam or graded macadam, i.e., a roadbed, i.e., a soil foundation.
The method can be used for identifying the modulus of each layer and the interlayer contact state under various load action modes such as real vehicle moving load, impact load of a drop hammer deflectometer and the like.
In this embodiment, the mapping relationship is established by a machine learning algorithm. The sensors are arranged in an embedded mode.
Further, the interlayer contact state is characterized by a tangential stiffness coefficient of a Goodman model.
Still further, the value range of the tangential stiffness coefficient is [0, + ∞ ];
when the tangential stiffness coefficient takes 0, the interlayer contact state is a completely smooth state between layers, and when the tangential stiffness coefficient takes + ∞, the interlayer contact state is a completely continuous state between layers.
Still further, with reference to fig. 1 and 2, calculating the corresponding layer bottom horizontal strain under different layer contact states includes:
in order to facilitate the identification of the interlayer contact state, the interlayer bottom horizontal strain under the completely smooth state, the completely continuous state and the incompletely continuous state can be respectively calculated.
The interlayer contact state degree is defined as 1- (interlayer non-complete continuous state bottom level strain amplitude-interlayer complete continuous state bottom level strain amplitude)/(interlayer complete smooth state bottom level strain amplitude-interlayer complete continuous state bottom level strain amplitude).
Still further, the value range of the interlayer contact state degree is [0, 1], when the value of the interlayer contact state degree is 0, the interlayer contact state is represented as a completely smooth state between the layers, and when the value of the interlayer contact state degree is 1, the interlayer contact state is represented as a completely continuous state between the layers.
Still further, as shown in fig. 1, the process of establishing the mapping relationship includes:
and establishing a mapping relation among the modulus of each layer, the degree of the interlayer contact state, the bottom vertical stress of each layer, the bottom horizontal strain and the bottom vertical strain by taking the degree of the interlayer contact state as a key characteristic of the interlayer contact state.
Further, with reference to fig. 1, calculating to obtain the modulus of each layer and the degree of the interlayer contact state by using the mapping relationship according to the layer bottom vertical stress amplitude measured by the soil pressure gauge, the layer bottom horizontal strain amplitude measured by the horizontal strain sensor and the layer bottom vertical strain amplitude measured by the vertical strain sensor;
and then determining the real interlayer contact state, namely the interlayer rigidity coefficient of each layer, by utilizing the monotonous relation between the interlayer contact state degree and the interlayer contact state.
Still further, the machine learning algorithm selects an artificial neural network, the neural network comprises 2 hidden layers, each hidden layer is provided with 20 neurons, and the activation function of the hidden layer is a Tansig function.
Still further, the neural network also comprises an output layer, and the activation function of the output layer is a Linear function.
The specific embodiment is as follows:
referring to FIG. 2, layer j represents a middle layer, layer n-1 is the penultimate layer, and layer n is the bottom layer. Taking a three-layer asphalt pavement structure as an example, arranging soil pressure gauges at the bottoms of all layers; since this embodiment recognizes only the interlayer contact state of the first floor, it is first selected to provide the horizontal strain sensor and the vertical strain sensor on the first floor.
With reference to fig. 1, a method and a process for identifying the modulus of each layer and the interlayer contact state of the asphalt pavement are provided. Firstly, calculating the vertical stress, the horizontal strain and the vertical strain of each layer bottom under the combination of different layer moduli and interlayer contact states by a finite element method or an analytical method; and simultaneously, the horizontal strain of the bottom layer under the states of complete smoothness between layers, complete continuity between layers and incomplete continuity between layers is respectively calculated, and further the degree of the contact state between layers is calculated. The load form is standard axial load BZZ-100 (double-circle single-wheel set), the load stress is 0.7MPa, the vehicle moving speed is 10m/s, the load circle radius is 0.1065m, and the distance between the double circles is 0.3195 m. The value ranges of the moduli of the three layers of the asphalt pavement from top to bottom are respectively [500,30000 ]]MPa、[1000,6000]MPa、[50,500]MPa; the Poisson ratios are 0.25, 0.25 and 0.4 respectively; the density is 2400kg/m3, 2100kg/m3 and 1900kg/m3 respectively; the thicknesses were 0.2m, 0.4m and + ∞, respectively. The interlaminar tangential rigidity coefficient range between the 1 st layer and the 2 nd layer is [1,10 ]15]N/m3。
And then, constructing a mapping relation between the modulus of each layer and the degree of the interlayer contact state and the vertical stress, the horizontal strain and the vertical strain of each layer bottom by using a neural network algorithm. The input of the neural network is the vertical stress of each layer bottom, the horizontal strain and the vertical strain amplitude of the first layer bottom (4 inputs), and the output is the modulus of each layer and the degree of the contact state between layers (4 outputs). The neural network comprises 2 hidden layers, each hidden layer is provided with 20 neurons, the hidden layer activation function is a Tansig function, and the output layer activation function is a Linear function. Through the training of the neural network algorithm, the prediction result of the training set is highly consistent with the real result, and the fitting degree reaches more than 0.99; the method is characterized in that the embedded sensing device is arranged on the asphalt pavement, and the embedded sensing device is arranged on the asphalt pavement and is closely attached to a layered system mechanical theory, so that the mechanical responses can comprehensively reflect the modulus of each layer of the asphalt pavement and the interlayer contact state, and the identification results of the modulus of each layer of the asphalt pavement and the interlayer contact state are convergent and unique.
And finally, actually measuring by using the embedded sensing device to obtain the vertical stress of each layer bottom, the horizontal strain of the first layer bottom and the vertical strain amplitude. For example, the first floor vertical stress amplitude is-1.5201 x 105Pa, the amplitude of the vertical stress of the bottom of the second layer is-1.3433 multiplied by 104Pa, first layer bottom horizontal (longitudinal) strain amplitude of 3.2718 multiplied by 10-5The amplitude of the vertical strain of the first floor is-2.7295 multiplied by 10-5. And substituting the actually measured amplitudes into the mapping relation to obtain the modulus of the first layer of 10360MPa, the modulus of the second layer of 3017MPa, the modulus of the third layer of 204MPa and the degree of contact state between the 1 st layer and the 2 nd layer of 0.5768. Then, by using the monotonic relation between the interlayer contact state degree and the tangential stiffness coefficient, as shown in FIG. 3, the tangential stiffness coefficient between each layer is determined to be 109.9061N/m3。
So far, under the condition of the current pavement service, the modulus of each layer and the interlayer contact state are identified. And long-term monitoring can be carried out subsequently, and then the rigidity attenuation conditions of each layer and interlayer of the asphalt pavement can be identified.
Although the invention herein has been described with reference to particular embodiments, it is to be understood that these embodiments are merely illustrative of the principles and applications of the present invention. It is therefore to be understood that numerous modifications may be made to the illustrative embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that features described in different dependent claims and herein may be combined in ways different from those described in the original claims. It is also to be understood that features described in connection with individual embodiments may be used in other described embodiments.
Claims (4)
1. A method for identifying the modulus of each layer and the contact state between layers of an asphalt pavement is characterized by comprising the following steps,
arranging a soil pressure gauge, a horizontal strain sensor and a vertical strain sensor at the bottom of each layer of different material layers of the asphalt pavement;
firstly, calculating different moduli of each material layer and the corresponding bottom vertical stress, bottom horizontal strain and bottom vertical strain of each material layer under the interlayer contact state by a finite element method or an analytical method;
then establishing a mapping relation among the modulus of each layer, the contact state between layers, the bottom vertical stress of each layer, the bottom horizontal strain and the bottom vertical strain through a machine learning algorithm;
finally, based on the mapping relation, calculating and obtaining real moduli of different material layers and real interlayer contact states according to the layer bottom vertical stress amplitude measured by the soil pressure gauge under the action of external load, the layer bottom horizontal strain amplitude measured by the horizontal strain sensor and the layer bottom vertical strain amplitude measured by the vertical strain sensor;
calculating the corresponding layer bottom horizontal strain under different interlayer contact states comprises the following steps:
respectively calculating the horizontal strain of the bottom of the interlayer under the completely smooth state, the completely continuous state and the incompletely continuous state of the interlayer;
the establishing process of the mapping relation comprises the following steps:
establishing mapping relations among the modulus of each layer, the degree of the interlayer contact state, the vertical stress of the bottom of each layer, the horizontal strain of the bottom of each layer and the vertical strain of the bottom of each layer by taking the degree of the interlayer contact state as a key characteristic of the interlayer contact state;
calculating to obtain each layer modulus and interlayer contact state degree by adopting the mapping relation according to the layer bottom vertical stress amplitude measured by the soil pressure gauge, the layer bottom horizontal strain amplitude measured by the horizontal strain sensor and the layer bottom vertical strain amplitude measured by the vertical strain sensor;
then, determining a real interlayer contact state by utilizing a monotonous relation between the interlayer contact state degree and the interlayer contact state;
the interlayer contact state degree =1- (interlayer non-complete continuity state bottom level strain amplitude-interlayer complete continuity state bottom level strain amplitude)/(interlayer complete smoothness state bottom level strain amplitude-interlayer complete continuity state bottom level strain amplitude) is defined.
2. The method for recognizing the modulus of each layer and the contact state between layers of an asphalt pavement according to claim 1,
the interlayer contact state is characterized by the tangential stiffness coefficient of a Goodman model.
3. The method for identifying the modulus of each layer and the contact state between layers of the asphalt pavement according to claim 2,
the value range of the tangential stiffness coefficient is [0, + ∞ ];
when the tangential stiffness coefficient is 0, the interlayer contact state is a completely smooth state between layers, and when the tangential stiffness coefficient is + infinity, the interlayer contact state is a completely continuous state between layers.
4. The method for identifying the modulus of each layer and the contact state between layers of the asphalt pavement according to claim 3,
the interlayer contact state degree range is [0, 1], when the interlayer contact state degree is 0, the interlayer contact state is a completely smooth interlayer state, and when the interlayer contact state degree is 1, the interlayer contact state is a completely continuous interlayer state.
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