CN107389477A - A kind of Layer Modulus of Asphalt Pavement reverse calculation algorithmses - Google Patents

A kind of Layer Modulus of Asphalt Pavement reverse calculation algorithmses Download PDF

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Publication number
CN107389477A
CN107389477A CN201710447146.4A CN201710447146A CN107389477A CN 107389477 A CN107389477 A CN 107389477A CN 201710447146 A CN201710447146 A CN 201710447146A CN 107389477 A CN107389477 A CN 107389477A
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layer
modulus
vertical strain
soil matrix
asphalt
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CN107389477B (en
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黄晓明
巩金芝
黄若昀
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Southeast University
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Southeast University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/30Investigating strength properties of solid materials by application of mechanical stress by applying a single impulsive force, e.g. by falling weight
    • G01N3/303Investigating strength properties of solid materials by application of mechanical stress by applying a single impulsive force, e.g. by falling weight generated only by free-falling weight
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2203/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N2203/003Generation of the force
    • G01N2203/0032Generation of the force using mechanical means
    • G01N2203/0039Hammer or pendulum

Abstract

The present invention discloses a kind of Layer Modulus of Asphalt Pavement reverse calculation algorithmses, including:The road surface structare layer of bituminous paving is simplified, adjacent and material type identical road surface structare layer is considered as simplified layer, and the modulus difference between the structure sheaf that is included of each simplified layer is not more than N MPa, and soil matrix is individually considered as to soil matrix layer;Vertical strain sensor is arranged in soil matrix layer and each simplified layer, and ensures that all vertical strain sensors that arrangement is completed are located at same vertical direction;It is further applied load on bituminous paving top layer, and the load is located at the surface of each vertical strain sensing, and soil matrix layer is gathered by vertical strain sensor and simplifies the vertical strain data of layer;Modular inverse calculation is carried out using the vertical strain data collected as back-calculation parameter;N value is 250~350.Original structure is combined by this method and simplifies the technical barrier for so as to optimize modular inverse calculation calculating process, solving inverse modulus and not being inconsistent with virtual condition.

Description

A kind of Layer Modulus of Asphalt Pavement reverse calculation algorithmses
Art
The present invention relates to a kind of Layer Modulus of Asphalt Pavement reverse calculation algorithmses, belong to road engineering technical field.
Background technology
Layer Modulus of Asphalt Pavement inverse is the important means of pavement structure performance evaluation, and construction, maintenance are provided for new-old pavement Parameter.Current existing modular inverse calculation method is aided with certain mathematics optimizing means using FWD deflection basins as back-calculation parameter, Domestic and international extensive use, but many deficiencies be present:Carrying out inverse with road surface deflection basin causes inverse modulus not to be inconsistent with actual modulus; Structure sheaf inverse result especially insensitive to displacement and actual gap are very big.These deficiencies have had a strong impact on pavement structure Maintenance evaluation.
The content of the invention
For the deficiency of modular inverse calculation method in the prior art, the present invention provides a kind of Layer Modulus of Asphalt Pavement reverse calculation algorithmses, Using the vertical strain data of soil matrix layer and asphalt pavement structural layer as parameter, inverse is carried out to each pavement layer modulus of bituminous paving.
To achieve the above object, the technical solution adopted by the present invention is:
A kind of Layer Modulus of Asphalt Pavement reverse calculation algorithmses disclosed in this invention, including following components:To bituminous paving Road surface structare layer is simplified, and adjacent and material type identical road surface structare layer is considered as into one layer, that is, simplifies layer, and each The modulus difference simplified between the structure sheaf that layer is included is not more than N MPa, and soil matrix is individually considered as to one layer, i.e. soil matrix layer; Vertical strain sensor is arranged in soil matrix layer and each simplified layer, and ensures all vertical strain sensors of arrangement completion positioned at same One vertical direction;It is further applied load on bituminous paving top layer, and the load is located at the surface of each vertical strain sensing, and by hanging down Straight strain transducer collection soil matrix layer and the vertical strain data for simplifying layer;Join the vertical strain data collected as inverse Number carries out modular inverse calculation;N value is 250~350.
Further, the road surface structare layer of bituminous paving is simplified, by with the material type of adjacent road surface structare layer not With or with adjacent road surface structare layer material type is identical but road surface structare layer of the modulus difference more than N MPa is individually considered as one Layer.
Further, N value is 300.
Further, material type refers to the classification of the chemical composition progress by material, the material type of the bituminous paving Including asphalt, stabilized with inorganic binder class compound and pellet class.
Further, asphalt includes bituminous concrete mixture (AC), Asphalt Stabilized Macadam (ATB), the drip of more rubbles Blue or green concrete (SAC), bituminous concrete moxture (AM), drainage type asphalt wearing layer (OGFC), drainage type Asphalt Stabilized Macadam (ATPB), stone mastic asphalt (SMA);The stabilized with inorganic binder class compound includes cement stabilized type, stone Grey Stabilized and lime industrial residue Stabilized, wherein, it is steady that cement stabilized type includes cement stabilized grading crushed stones (CBG), cement Fixed soil (CS);The pellet class includes graded broken stone (GB), calking rubble.
Further, the load applied on bituminous paving top layer is single circle load.
Further, arrange that vertical strain sensor refers to hang down in the layer top of soil matrix layer arrangement in soil matrix layer and each simplified layer Straight strain transducer, vertical strain sensor is put in the layer base fabric for simplifying layer.
Further, the vertical strain data collected include the vertical strain data pushed up layer by layer of soil matrix and each simplification bottom layer by layer Vertical strain data.
Further, modular inverse calculation is iterated inverse using artificial neural network algorithm or genetic algorithm.
The present invention has the advantages that compared with prior art:
Compared with existing modular inverse calculation method, the present invention is based on disclosed structure sheaf simplification principle, by original road surface Structure sheaf is combined simplification, modular inverse calculation is carried out using the vertical strain data collected as back-calculation parameter, with road surface mechanics Based on calculation procedure and it is aided with optimization algorithm modular inverse calculation method, is solved so as to optimize modular inverse calculation calculating process The technical barrier that inverse modulus is not inconsistent with virtual condition.
The present invention have studied the reverse calculation algorithmses using each bottom vertical strain layer by layer of soil matrix top surface vertical strain and road surface as parameter, The shortcomings that overcoming existing back-calculation parameter unification.
This method can be applied to the structural behaviour detection to heavy construction test section, full scale test road, can also be applied to pre- The performance evaluation on the existing road surface of sensor is buried, there is good construction value.
Brief description of the drawings
Fig. 1 is Layer Modulus of Asphalt Pavement reverse calculation algorithmses flow chart shown in embodiment;
Fig. 2 is the sensor arrangement and load application position schematic diagram of asphalt pavement structure one;
Fig. 3 is the sensor arrangement and load application position schematic diagram of asphalt pavement structure two;
Fig. 4 is the modular inverse calculation program flow diagram in embodiment;
In figure:P0, L0 are respectively that the straight strain transducer of soil matrix roof pendant layer by layer of pavement structure one and pavement structure two is buried Position, P1, P2, P3 be pavement structure one each simplification the straight strain transducer burial place of dolly, L1, L2, L3 are road surface layer by layer The straight strain transducer burial place of dolly, P, L are respectively pavement structure one and pavement structure two layer by layer for each simplification of structure two Single circle load application position.
Embodiment
The present invention discloses a kind of Layer Modulus of Asphalt Pavement reverse calculation algorithmses, including following components:
Part I:The road surface structare layer of bituminous paving is simplified.
Structure sheaf simplify principle be:The identical and adjacent road surface structare layer of material type is considered as a simplification layer, and Modulus difference between the structure sheaf that each simplified layer is included is not more than 300MPa;Soil matrix is individually considered as to one layer, i.e. soil matrix Layer.Further, by different from the material type of adjacent road surface structare layer or identical with the material type of adjacent road surface structare layer but Road surface structare layer of the modulus difference more than NMPa is individually considered as one layer;
Generally, adjacent bitumen layer is considered as one layer, adjacent semi-rigid layer is considered as one layer, will be adjacent firm Property layer is considered as one layer;The structure sheaf that will be unable to merge with adjacent bitumen layer, semi-rigid layer or rigid layer is individually considered as one layer.
It should be noted that:Under normal circumstances, the modulus size of structure sheaf depends on material type.Material type is Refer to the classification carried out by the chemical composition of material, including organic binder, inorganic binder and mixed binding material, wherein, it is organic Binder refers mainly to pitch class binder, and inorganic binder refers mainly to stabilized with inorganic binder compound and grain material.This Invention mainly includes asphalt type, inorganic combination mainly for bituminous paving, involved structural material type Expect Stabilized compound and pellet class, wherein, it is broken that asphalt type includes bituminous concrete mixture (AC), Bituminous stabilized Stone (ATB), more rubble bituminous concretes (SAC), bituminous concrete moxture (AM), drainage type asphalt wearing layer (OGFC), draining Formula Asphalt Stabilized Macadam (ATPB), stone mastic asphalt (SMA) etc.;Stabilized with inorganic binder class compound includes water Mud Stabilized, lime stabilization class and lime industrial residue Stabilized, wherein, cement stabilized type includes cement stabilized grading crushed stones (CBG), cement stabilized soil (CS);Pellet class includes graded broken stone (GB), calking rubble.Therefore, can be by SAC layers, AC layers, SMA Layer is considered as material type identical bitumen layer, and CBG layers, CS layers are considered as one layer of material type identical, and GB layers are considered as one layer.
What each structure sheaf was represented the digitized representation particle size after the title material code answered, such as AC10 is particulate formula Bituminous concrete, what AC20 was represented is middle grain formula bituminous concrete, and what AC25 was represented is Coarse Graded Bituminous Concrete, SAC13 tables What is shown is particulate formula stone mastic asphalt etc..
Part II:In soil matrix layer and each simplified layer arrangement vertical strain sensor.
In soil matrix layer and each simplified layer arrangement vertical strain sensor, and ensure all vertical strains sensing that arrangement is completed Device is located at same vertical direction.
During concrete operations, the pre-buried vertical strain sensor in paving structure is appropriate in the selection of soil matrix top surface first Location arrangements vertical strain sensor, to test the strain data of soil matrix top surface;Then, according to the position of soil matrix vertical strain sensor The arrangement for carrying out remaining each bottom sensor layer by layer is put, and ensures the sensor except each layer in the surface of its underlying transducer. In the process, sensor is ensured in same vertical direction, to ensure the biography measured when road crust acts on single circle load Sensor data are under same load action.
Part III:Apply single circle load on bituminous paving top layer, and the load be located at each vertical strain sensing just on Side, and gather the vertical strain data of soil matrix layer and each simplified layer.
What is born during the real work of road surface is wheel load, standard axle load BZZ-100, standard axle load is reduced into power Active area justifies load for circular and each point pressure identical equivalent, i.e., double circle loads or single circle load, therefore, for road force Learn and calculate, double circle loads are referred to as if the wheel load per side is represented with two circles, are referred to as if being represented with a circle single Circle load.The list circle load that generally use is applied by FWD when road surface is tested or detected.Therefore, the present invention is to drip The load that blue or green road crust applies is preferably single circle load, and make single circle load geometric center be located at each sensor just on Side.
Part IV:Modular inverse calculation is carried out using the vertical strain data collected as back-calculation parameter.
Pavement structure after simplification is considered as to new pavement structure, is layered again similar to former pavement structure, The vertical strain data at the vertical strain data that the soil matrix collected is pushed up layer by layer and each simplification bottom layer by layer are right as back-calculation parameter Layers of material carries out modular inverse calculation in new pavement structure.
The deflection basin data that existing modular inverse calculation method is measured using FWD is back-calculation parameters, deflection basin number According to for road crust deflection value, cause back-calculation parameter unification.Therefore the present invention have studied with soil matrix top surface vertical strain and road Each bottom vertical strain layer by layer in face is the reverse calculation algorithmses of parameter, the shortcomings that to overcome existing back-calculation parameter unification.Modular inverse calculation side Method is generally based on the mechanics calculation procedure of road surface, and be aided with optimization algorithm.Wherein, optimization algorithm can use existing There are the artificial neural network algorithm in technology, genetic algorithm etc. to be iterated inverse.
Make with reference to specific embodiment and 1~4 pair of accompanying drawing Layer Modulus of Asphalt Pavement reverse calculation algorithmses of the present invention further Explanation.
As shown in figure 1, a kind of Layer Modulus of Asphalt Pavement reverse calculation algorithmses disclosed in embodiment, including following steps:
Step 1:Placement sensor
Two kinds of representative asphalt pavement structure forms are chosen in certain Experiment Road, structure one drips for semi-rigid type base Blue or green road surface, structure two are Asphalt Pavement with Flexible Base.
Structure one is:4cmSAC13+8cmAC20+20cmCBG+20cmCS+20cmCS.
This pavement structure is reduced to the easy structure such as Fig. 2, i.e. 4cmSAC13+8cmAC is considered as simplified layer 3, and drip Cyan layer, in corresponding diagram " 3 ";20cmCBG is considered as simplified layer 2, in corresponding diagram " 2 ";20cmCS+20cmCS is considered as simplified layer 1, corresponding In figure " 1 ";Soil matrix is individually considered as one layer, i.e. soil matrix layer 0, in corresponding diagram " 0 ".
The pre-buried vertical strain sensor in paving structure, in native substrate top surface selection appropriate location, arrangement is hung down first Straight strain transducer P0, to test the strain data of soil matrix top surface;According to soil matrix vertical strain sensor P0 position, at remaining The layer base fabric of each simplified layer puts vertical strain sensor P1, P2, P3, it is ensured that each layer of sensor in its underlying transducer just Top.
Structure two is:
4cmSMA13+8cmAC20+12cmAC25+12cmAC25+12cmAC25+4cmAC10+48cmGB。
This pavement structure is reduced to the easy structure such as Fig. 3, i.e.
4cmSMA13+8cmAC20+12cmAC25+12cmAC25+12cmAC25 is considered as simplified layer 3, in corresponding diagram " 3 "; 4cmAC10 is considered as simplified layer 2, in corresponding diagram " 2 ";48cmGB is considered as simplified layer 1, in corresponding diagram " 1 ";Soil matrix is individually considered as one Layer, i.e. soil matrix layer 0, in corresponding diagram " 0 ".
In structure two, vertical strain sensor method for embedding repeats no more here with structure one.
Step 2:It is further applied load and gathered data
As shown in Fig. 2 apply single circle load on the top layer of structure one, make the center of load directly over sensor at P.Modulus The back-calculation parameter that inverse uses is each simplification of bituminous paving vertical strain that the vertical strain data at bottom and soil matrix push up layer by layer layer by layer Data, effective vertical strain data are gathered by each vertical strain sensor during load application.
As shown in figure 3, structure two uses the method placement sensor same with structure one, repeat no more here.
The data summarization that each sensor collects is as shown in table 1.
The vertical strain data summary table that 1 each sensor of table collects
Step 3:Modular inverse calculation
The modular inverse calculation program based on glowworm swarm algorithm is write, inverse flow is as shown in Figure 4.It is anti-using vertical strain data Calculate parameter and modular inverse calculation is carried out to soil matrix layer and each simplified layer.
It should be noted that modular inverse calculation program utilizes the optimization algorithms such as artificial neural network algorithm or genetic algorithm Optimize, carry out modulus calculating by the Finite-Element Solution of finite element software, finite element is also the one kind commonly used in inverse program Method, it will not be repeated here.
Thus obtained inverse result is as shown in table 2 and table 3:
Modulus and inverse modulus summary sheet are designed in the structure one of table 2
Modulus and inverse modulus summary sheet are designed in the structure two of table 3
As can be seen that structure one belongs to semi-rigid asphalt pavement, CS, CBG in table 2 belong to semi-rigid material; Structure two is Asphalt Pavement with Flexible Base, and the GB in table 3 is flexible material.
Because single circle load is that equivalent after being simplified by wheel load justifies load, therefore power when single circle load is born on road surface State is equal to actual working state when vehicular load is born on road surface.From inverse result, according to above-mentioned modular inverse calculation The Modulus results that method obtains meet the modulus under the actual working state of road surface, are also consistent with Pavement Design modulus.
Although embodiment of the present invention is described above in association with accompanying drawing, the invention is not limited in above-mentioned Specific embodiments and applications field, above-mentioned specific embodiment are only schematical, directiveness, rather than restricted 's.One of ordinary skill in the art is under the enlightenment of this specification, in the scope for not departing from the claims in the present invention and being protected In the case of, the form of many kinds can also be made, these belong to the row of protection of the invention.

Claims (10)

1. a kind of Layer Modulus of Asphalt Pavement reverse calculation algorithmses, it is characterised in that including following sections:
The road surface structare layer of bituminous paving is simplified, adjacent and material type identical road surface structare layer is considered as one layer, Simplify layer, and the modulus difference between the structure sheaf that is included of each simplified layer is not more than N MPa, and soil matrix is individually considered as One layer, i.e. soil matrix layer;
Vertical strain sensor is arranged in soil matrix layer and each simplified layer, and ensures all vertical strain sensors that arrangement is completed Positioned at same vertical direction;
It is further applied load on bituminous paving top layer, and the load is located at the surface of each vertical strain sensing, and pass through vertical strain Sensor gathers soil matrix layer and simplifies the vertical strain data of layer;
Modular inverse calculation is carried out using the vertical strain data collected as back-calculation parameter;
N value is 250~350.
2. Layer Modulus of Asphalt Pavement reverse calculation algorithmses according to claim 1, it is characterised in that the road surface to bituminous paving Structure sheaf is simplified, by material type phase different from the material type of adjacent road surface structare layer or with adjacent road surface structare layer Road surface structare layer of the same but modulus difference more than N MPa is individually considered as one layer.
3. Layer Modulus of Asphalt Pavement reverse calculation algorithmses according to claim 1, it is characterised in that the material type refers to by material The classification that the chemical composition of material is carried out, the material type of the bituminous paving include asphalt, stabilized with inorganic binder class Compound and pellet class.
4. Layer Modulus of Asphalt Pavement reverse calculation algorithmses according to claim 3, it is characterised in that the asphalt includes drip Blue or green concrete mixture (AC), Asphalt Stabilized Macadam (ATB), more rubble bituminous concretes (SAC), bituminous concrete moxture (AM), drainage type asphalt wearing layer (OGFC), drainage type Asphalt Stabilized Macadam (ATPB) and stone mastic asphalt (SMA);It is stable that the stabilized with inorganic binder class compound includes cement stabilized type, lime stabilization class and lime industrial residue Class, wherein, cement stabilized type includes cement stabilized grading crushed stones (CBG) and cement stabilized soil (CS);The pellet class includes level With rubble (GB) and calking rubble.
5. Layer Modulus of Asphalt Pavement reverse calculation algorithmses according to claim 1, it is characterised in that the value of the N is 300.
6. Layer Modulus of Asphalt Pavement reverse calculation algorithmses according to claim 2, it is characterised in that the value of the N is 300.
7. Layer Modulus of Asphalt Pavement reverse calculation algorithmses according to claim 1, it is characterised in that apply on bituminous paving top layer Load is single circle load.
8. Layer Modulus of Asphalt Pavement reverse calculation algorithmses according to claim 1, it is characterised in that in soil matrix layer and each simplified layer Arrangement vertical strain sensor refers to arrange vertical strain sensor on the layer top of soil matrix layer, put vertically in the layer base fabric for simplifying layer Strain transducer.
9. Layer Modulus of Asphalt Pavement reverse calculation algorithmses according to claim 8, it is characterised in that the vertical strain data collected The vertical strain data at the vertical strain data pushed up layer by layer including soil matrix and each simplification bottom layer by layer.
10. the Layer Modulus of Asphalt Pavement reverse calculation algorithmses according to claim 1 to 9 any one, it is characterised in that modular inverse calculation Inverse is iterated using artificial neural network algorithm or genetic algorithm.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108589491A (en) * 2018-05-30 2018-09-28 同济大学 The method of depth is set for the rigid layer of Layer Modulus of Asphalt Pavement inverting
CN109918849A (en) * 2019-04-01 2019-06-21 同济大学 A kind of method for building up of bituminous pavement bitumen layer in-situ modules principal curve
CN113447342A (en) * 2021-06-28 2021-09-28 哈尔滨工业大学 Method for identifying modulus of each layer and contact state between layers of asphalt pavement

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1576817A (en) * 2004-09-07 2005-02-09 长安大学 Modulus anti-inference method for rock-fill roadbed
CN1880576A (en) * 2005-06-16 2006-12-20 郑州大学 System identification technique for structural mechanics characteristic of pavement
CN102505622A (en) * 2011-10-10 2012-06-20 同济大学 Method for pavement condition nondestructive detection based on FWD
CN104727207A (en) * 2015-03-31 2015-06-24 东南大学 Structural maintenance and design method of semi-rigid base-layer asphalt pavement
CN104792975A (en) * 2015-04-03 2015-07-22 山东省交通科学研究所 Asphalt pavement structure layer modulus inversion method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1576817A (en) * 2004-09-07 2005-02-09 长安大学 Modulus anti-inference method for rock-fill roadbed
CN1880576A (en) * 2005-06-16 2006-12-20 郑州大学 System identification technique for structural mechanics characteristic of pavement
CN102505622A (en) * 2011-10-10 2012-06-20 同济大学 Method for pavement condition nondestructive detection based on FWD
CN104727207A (en) * 2015-03-31 2015-06-24 东南大学 Structural maintenance and design method of semi-rigid base-layer asphalt pavement
CN104792975A (en) * 2015-04-03 2015-07-22 山东省交通科学研究所 Asphalt pavement structure layer modulus inversion method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
中交公路规划设计院: "《公路沥青路面设计规范 JTG D50-2006》", 10 October 2006, 中华人民共和国交通部 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108589491A (en) * 2018-05-30 2018-09-28 同济大学 The method of depth is set for the rigid layer of Layer Modulus of Asphalt Pavement inverting
CN109918849A (en) * 2019-04-01 2019-06-21 同济大学 A kind of method for building up of bituminous pavement bitumen layer in-situ modules principal curve
CN113447342A (en) * 2021-06-28 2021-09-28 哈尔滨工业大学 Method for identifying modulus of each layer and contact state between layers of asphalt pavement
CN113447342B (en) * 2021-06-28 2022-05-10 哈尔滨工业大学 Method for identifying modulus of each layer and contact state between layers of asphalt pavement

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