Fiber asphalt flexible anti-crack seal layer parameter type selection and design method

By constructing a nonlinear coupling feature and support vector regression model, the parameters of the fiber-reinforced asphalt bridge deck waterproofing layer were optimized, solving the problem of low material selection efficiency for bridge deck waterproofing layers. This enabled rapid and economical material combination selection, improving construction efficiency and the accuracy of material selection.

CN120911284AActive Publication Date: 2025-11-07CHINA CONSTR FIFTH ENG DIV CORP LTD

Patent Information

Application Number
CN202511050814.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-29
Publication Date
2025-11-07
Estimated Expiration
2045-07-29

AI Technical Summary

Technical Problem

Existing technologies for bridge deck waterproofing layer materials are inefficient, time-consuming, and costly, making it difficult to quickly select suitable fiber-reinforced asphalt flexible crack-resistant sealing layer materials.

Method used

By constructing the nonlinear coupling characteristics of asphalt content, fiber content and fiber length, a support vector regression model is trained, a strength prediction model and a waterproof performance theoretical model are established, and the parameters of the fiber asphalt bridge deck waterproof layer are optimized to achieve the optimal material combination.

Benefits of technology

This improves the efficiency of selecting waterproofing materials for bridge decks, shortens the construction period, reduces time and economic costs, and ensures the accuracy and economy of material combinations.

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Abstract

A fiber asphalt flexible anti-crack seal parameter type selection and design method comprises the following steps: S1, establishing a strength prediction model: combining feature design and a support vector machine algorithm, and constructing nonlinear coupling features of asphalt consumption, fiber consumption and fiber length to obtain a strength prediction model; training the support vector regression model to obtain a prediction model of the tensile strength of the bridge deck waterproof layer under different material combinations; s2, establishing a waterproof performance theoretical model of the waterproof layer: obtaining a function relationship among the equivalent stress length of the waterproof layer, the thickness of the waterproof layer and the tensile strength based on a cracking principle of the waterproof layer and stress balance of the waterproof layer, obtaining a theoretical model of the critical crack width Wt of the waterproof layer and a waterproof performance correlation coefficient of the waterproof layer combined by different materials; and S3, designing the waterproof layer of the bridge deck slab: selecting a material combination of the waterproof layer with the optimal economical efficiency based on the crack width of the bridge deck slab in combination with the prediction model of the tensile strength of the waterproof layer of the bridge deck slab and the waterproof performance theoretical model of the cracked waterproof layer of the bridge deck slab.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of bridge deck waterproofing, more particularly, to a fiber asphalt flexible anti-cracking seal coat parameter selection and design method. BACKGROUND

[0002] The waterproof layer or seal coat is an indispensable important component in bridge, tunnel and road structure, and the waterproof layer or seal coat is a thin layer of asphalt mixture laid to close the surface voids and prevent water from entering the surface layer or base layer. The main function of the waterproof layer or seal coat is to prevent external water such as rainwater, snowwater and deicing salt from penetrating into the bridge deck, tunnel and pavement structure layer, effectively avoiding problems such as concrete carbonization and steel corrosion, thereby improving the durability and service life of road bridges and tunnels and other infrastructure. At the same time, the waterproof layer can prevent diseases such as surface layer spalling, voiding and freeze-thaw damage, improve the bonding performance between the pavement layer and the main structure, and ensure the stability and safety of the overall structure. As an important measure of long-life infrastructure design, the waterproof layer plays a key role in the whole life cycle of infrastructure. With the improvement of the performance requirements of the waterproof layer for the driving surface structure, fiber asphalt flexible anti-cracking seal coat materials are gradually widely used due to their excellent mechanical properties.

[0003] In the current application process of infrastructure waterproof layer, the performance of the waterproof layer is affected by multiple factors, mainly including asphalt dosage, fiber dosage and fiber length. In the actual construction process, the selection of waterproof layer materials often depends on experience or multiple tests, which leads to low efficiency, high time and economic costs in the selection of bridge waterproof layer materials during construction, and it is difficult to quickly select the bridge waterproof layer materials, delaying the construction period.

[0004] Therefore, there is an urgent need for a seal coat parameter selection and design method that can improve design efficiency and accuracy. SUMMARY

[0005] The present application provides a fiber asphalt flexible anti-cracking seal coat parameter selection and design method, which is based on the selection of fiber asphalt bridge waterproof layer parameters based on feature design and artificial intelligence optimization, solves the problems of low efficiency, high cost and poor adaptability in traditional methods, and realizes accurate prediction of the tensile strength of the waterproof layer by constructing nonlinear coupling features of asphalt dosage, fiber dosage and fiber length, training a support vector regression model, and guiding the selection of the optimal parameter combination.

[0006] The technical solution adopted by the present application to solve its technical problems is a fiber asphalt flexible anti-cracking seal coat parameter selection and design method for quickly determining the materials of the waterproof layer. The fiber asphalt flexible anti-cracking seal coat parameter selection and design method includes the following steps:

[0007] S1, establishing a strength prediction model: combining physical characteristics design and support vector machine algorithm, by constructing the nonlinear coupling characteristics of asphalt content, fiber content and fiber length, training the support vector regression model to obtain the prediction model of the tensile strength of the waterproof layer under different material combinations;

[0008] S2, establishing a theoretical model of the waterproof performance of the concrete cracking waterproof layer: based on the cracking principle of the waterproof layer and the stress balance of the waterproof layer, the function relationship between the equivalent stress length S of the waterproof layer, the thickness t of the waterproof layer and the tensile strength σ t of the waterproof layer can be obtained. At the same time, based on the fact that the width of the bridge deck crack is actually the tensile length of the waterproof coating, the function relationship between the critical crack width W t of the concrete beam when the waterproof layer fails and K, C, a can be obtained, the test beam including the waterproof layer is made, the test beam is cracked by loading test—crack development—water seepage, the critical crack width W t of the test beam cracking and seepage is measured, and the performance test of the test beam with different material combinations of the waterproof layer is carried out to calculate the K, C, a values of the waterproof layer with different material combinations, which are the waterproof performance related coefficients of the waterproof layer;

[0009] S3, design of the waterproof layer of the bridge deck: based on the crack width of the bridge deck, the prediction model of the tensile strength of the waterproof layer of the bridge deck and the theoretical model of the waterproof performance of the cracking waterproof layer of the bridge deck, the material combination of the waterproof layer is selected based on the economic optimization.

[0010] Preferably, the prediction model of the tensile strength of the waterproof layer of the bridge deck under different material combinations obtained in the S1 step comprises the following steps:

[0011] S101, according to engineering experience and the specification requirements of the waterproof layer of the bridge deck, the range of the asphalt content, the fiber content and the fiber length is predicted;

[0012] S102, using the method of orthogonal design, test pieces with different material combinations are made and tensile performance test is carried out on the test pieces to obtain the tensile force and tensile strength of the test pieces, based on the characteristics of the combination material changes in the test pieces with different material combinations, the characteristic functions X1, X2, X3 including the variation law of each parameter are obtained, wherein X1 is the characteristic function of the asphalt content, X2 is the characteristic function of the fiber content, and X3 is the characteristic function of the fiber length;

[0013] S103, X1, X2 and X3 are taken as the input characteristics of the support vector regression model, and the output characteristic tensile strength σ t is taken as the output characteristic, learning and prediction are carried out to obtain the tensile strength σ t of the waterproof layer of the bridge deck under different combinations;

[0014] Preferably, assuming the asphalt amount (kg / m2) is A, the glass fiber amount (g / m2) is G, and the glass fiber length (cm) is L, then X1=A,

[0015] wherein X2 is a characteristic function of is the fiber / asphalt ratio, reflecting the density of fiber filling; λ is the control rate of the influence of fiber amount; c is a constant, representing the weight of the influence of asphalt amount on fiber amount; L is the fiber length; L0 is the optimal fiber length; h is a parameter controlling the rate of fiber influence.

[0016] The principle of the above characteristic design: the asphalt amount directly participates in the design of the waterproof layer, so X1=A; when the fiber length is constant, there is a mutual restrictive relationship between the amount of asphalt and fiber; when the amount of asphalt is constant, with the decrease of fiber, there is not enough fiber to contact with asphalt, resulting in more free asphalt, thereby leading to the decrease of tensile strength; when the amount of fiber increases to a certain extent, there is not enough free asphalt to contact with the excess fiber interface, and the free fiber has limited effect on the improvement of structural tensile strength; that is, too little fiber has no obvious enhancement, and too much fiber has poor dispersion (decreased wrapping), so the interaction effect between the amount of fiber and the amount of asphalt is significant, and the relationship between the amount of fiber and the amount of asphalt can be described by a multiplication function When the fiber length is too short, the fiber lap is insufficient, and the strength decreases; when the fiber length is too long, the uniformity of the fiber is poor, which also affects the strength. The fiber length is usually optimal within a range, showing a peak-type correction, so the effect of fiber length is small, and a function combining linearity and exponential decay is used to describe the effect of fiber length on tensile strength.

[0017] Preferably, when the fiber amount G=0, the waterproof layer is all asphalt, and the tensile strength σ t of the waterproof layer is fixed as σ0. t .

[0018] Preferably, the allowable stretching distance ΔS of the waterproof layer of the same thickness under the condition of the same length is the same, that is, when the waterproof layer with a length of S is stretched to S+ΔS, the waterproof layer fails.

[0019] Preferably, the stress calculation of the waterproof layer containing fiber is as follows:

[0020] For convenience of calculation, the unit width is taken for calculation, and through the force balance of the waterproof layer, it can be known that F=τS / 2, and F is the axial tension of the waterproof layer, that is, F=tσ t .

[0021] Therefore, τS / 2=tσ t , that is Wherein t is the thickness of the waterproof layer t = m 沥青 / p 沥青 +m 纤维 / p 纤维 , m 沥青 , m 纤维 The asphalt mass per unit area of the waterproof layer, the fiber mass; sigma t The tensile strength of the waterproof layer; Tau is the ultimate shear stress of the waterproof coating.

[0022] Preferably, when the waterproof layer is water seepage failure, the tensile length of the waterproof layer is equal to the width of the bridge deck slab crack, the critical crack width W t = Delta S + Ct α Let Then

[0023] Preferably, when selecting the material combination of the waterproof layer in the S3 step, when The material combination of the waterproof layer is considered to meet the waterproofing requirements, wherein eta is the safety factor, W f Is the crack allowed by the structural design.

[0024] Preferably, based on the material combination of the waterproof layer that meets the waterproofing requirements, the economic optimal solution of the material combination per unit area of the waterproof layer is selected, and the material price per unit area of the waterproof layer is P = m 沥青 * p 沥青 +m 纤维 * p 纤维 , wherein p 沥青 , p 纤维 The unit area unit price of asphalt and the unit area unit price of fiber, respectively.

[0025] The beneficial effects of the present application are:

[0026] The fiber asphalt flexible anti-cracking seal layer parameter selection and design method of the present application is based on the fiber asphalt bridge deck seal layer parameter selection of characteristic design and artificial intelligence optimization, solves the problems of low efficiency, high cost and poor adaptability in traditional methods, and realizes accurate prediction of the tensile strength of the waterproof layer by constructing the nonlinear coupling characteristics of asphalt dosage, fiber dosage and fiber length, training the support vector regression model, guiding the selection of the optimal parameter combination of the waterproof layer material of the bridge deck, further improving the efficiency of the material selection of the waterproof layer of the bridge deck, shortening the construction period, reducing the time cost and the economic cost of material selection. BRIEF DESCRIPTION OF DRAWINGS

[0027] Figure 1 is the waterproof layer stress balance schematic diagram of the fiber asphalt flexible anti-cracking seal layer parameter selection and design method of the present application;

[0028] Figure 2 is the concrete beam crack development and waterproof layer failure graph (t=2mm) in the second embodiment of the fiber asphalt flexible anti-cracking seal coat parameter selection and design method of the present application;

[0029] Figure 3 is the photo of the test piece making in the test piece making and test flow of the first embodiment of the fiber asphalt flexible anti-cracking seal coat parameter selection and design method of the present application;

[0030] Figure 4 is the photo of the waterproof layer tensile test in the test piece making and test flow of the first embodiment of the fiber asphalt flexible anti-cracking seal coat parameter selection and design method of the present application;

[0031] Figure 5 is the photo of the test beam making of the first embodiment of the fiber asphalt flexible anti-cracking seal coat parameter selection and design method of the present application;

[0032] Figure 6 is the photo of the four-point loading test of the first embodiment of the fiber asphalt flexible anti-cracking seal coat parameter selection and design method of the present application;

[0033] Figure 7 is the photo of the concrete beam crack development and waterproof layer failure of the second embodiment of the fiber asphalt flexible anti-cracking seal coat parameter selection and design method of the present application (t=2mm);

[0034] Figure 8 is the photo of the actual construction after the selection according to the design method of the second embodiment of the fiber asphalt flexible anti-cracking seal coat parameter selection and design method of the present application. DETAILED DESCRIPTION

[0035] The present application is further described below in conjunction with the accompanying drawings and embodiments.

[0036] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. However, it will be apparent to one skilled in the art that the present application can be practiced without the specific details set forth in this description. In other instances, well-known methods have not been described in detail in order to avoid obscuring the present application.

[0037] In the description of the embodiments of the present invention, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the present invention. In addition, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0038] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.

[0039] like Figure 1 As shown, a method for selecting and designing parameters for a fiber-reinforced asphalt flexible crack-resistant seal layer is presented. This method is used to quickly determine the material of the waterproof layer and includes the following steps:

[0040] S1. Establish a strength prediction model: Combining physical feature design with support vector machine algorithm, by constructing nonlinear coupling features of asphalt content, fiber content and fiber length, a support vector regression model is trained to obtain a prediction model of the tensile strength of the bridge deck waterproof layer under different material combinations.

[0041] S101. Based on engineering experience and the requirements of bridge deck waterproofing layer specifications, predict the range of asphalt usage, fiber usage, and fiber length.

[0042] S102. Using the orthogonal design method, specimens with different material combinations are made and tensile property tests are conducted on the specimens to obtain the tensile force and tensile strength of the specimens. Based on the characteristics of the changes in the combined materials in the specimens with different material combinations, characteristic functions X1, X2, and X3, including the variation law of each parameter, are obtained, where X1 is the characteristic function of asphalt content, X2 is the characteristic function of fiber content, and X3 is the characteristic function of fiber length.

[0043] S103. Using X1, X2, and X3 as input features of the support vector regression model, the input feature is tensile strength σ. t To obtain the tensile strength σ of the bridge deck waterproofing layer under different combinations, the output features are learned and predicted. t When the fiber content G = 0, the waterproof layer is all asphalt, and the tensile strength σ of the waterproof layer is... t Regardless of the values ​​of A and L, σ is always satisfied. t= σ0, σ0 is the tensile strength of asphalt.

[0044] Assuming the asphalt dosage is A (kg / m2), the glass fiber dosage is G (g / m2), and the glass fiber length is L (cm), then X1 = A, wherein X2 is a characteristic function of is the fiber / asphalt ratio, reflecting the density of fiber filling; λ is the rate of influence of the fiber dosage; c is a constant, representing the weight of the influence of the asphalt dosage on the fiber dosage; L is the fiber length; L0 is the optimal fiber length; h is a parameter for controlling the rate of fiber influence.

[0045] S2, establishing a theoretical model of the waterproof performance of the bridge deck slab cracking waterproof layer: based on the cracking principle of the waterproof layer and the stress balance of the waterproof layer, the function relationship between the equivalent stress length S of the waterproof layer and the thickness t of the waterproof layer and the tensile strength σ t of the waterproof layer can be obtained, and based on the function relationship between the critical crack width W t of the waterproof layer and K, C, and α, a test beam including the waterproof layer is made, the test beam is cracked and water seeps through by loading test, the critical crack width W t of the test beam is measured, and performance tests are conducted on test beams with waterproof layers of different material combinations to calculate the K, C, and α values of the waterproof layers of different material combinations, K, C, and α being the waterproof performance correlation coefficients of the waterproof layer.

[0046] In step S2, for the same thickness of the waterproof layer per unit length, theoretically, the waterproof layer starts to leak after being stretched to appear holes, so whether or not the waterproof layer contains fiber material, the same thickness and length of the waterproof layer is stretched to cracking, the same stretching distance is stretched, i.e., the waterproof layer with a length of S is stretched to S+ΔS, and the waterproof fails. Wherein, K is the allowable elongation of the waterproof layer; C can be defined as the "waterproof thickness gain coefficient", i.e., the waterproof performance of the waterproof layer improves with the increase of its thickness, and α represents the index of deformation of the material in the stretching process, which reflects the deformation characteristics of the material in the stretching process. When α < 1: it means that the strain of the material gradually slows down with the increase of stress. When α = 1: the deformation of the material follows a linear relationship. When α > 1: it means that the strain of the material in the plastic stage increases very fast, and the deformation of the material is very sensitive to the change of the applied stress. K and C, α can be determined by waterproof performance test of the waterproof layer.

[0047] For the waterproof layer including fiber material, although the waterproof layer of the same thickness and length has the same failure tensile stroke, the fiber material can effectively improve the tensile strength of the waterproof layer, so that the stress of the waterproof layer is redistributed when the waterproof layer is stressed. Therefore, under the action of the fiber material, the stress distribution range of the waterproof layer is longer, and the stress length of the waterproof layer is calculated as follows: for convenience, the unit width is calculated, and it can be known from the stress balance of the waterproof layer that F = τS / 2, and F is the axial tension of the waterproof layer, that is, F = tσ t ; therefore where t is the thickness of the waterproof layer t = m 沥青 / ρ 沥青 + m 纤维 / ρ 纤维 , m 沥青 , m 纤维 is the asphalt mass and fiber mass per unit area of the waterproof layer; σ t is the tensile strength of the waterproof layer; and τ is the ultimate shear stress of the waterproof layer. As can be known from the above, the stress length of the waterproof layer including the fiber material When the waterproof layer begins to fail, the tensile length of the waterproof layer is equal to the width of the crack of the bridge deck slab, and the critical crack width W t of the waterproof layer is ΔS + Ct α , and let then

[0048] S3, waterproof layer design of the bridge deck slab: based on the crack width of the bridge deck slab, the material combination of the waterproof layer is selected by combining the prediction model of the tensile strength of the waterproof layer of the bridge deck slab and the waterproof performance theory model of the waterproof layer of the bridge deck slab.

[0049] When selecting the material combination of the waterproof layer in the S3 step, if then it is considered that the material combination of the waterproof layer meets the waterproof demand, wherein η is a safety factor, the safety factor is based on the existing waterproof layer design, and is obtained through experiments, W f is the allowable crack of the structure design, and the allowable crack value of the traditional waterproof layer of the bridge deck slab is 0.2 mm. In the experiment, the crack width value is 0.89 mm when water seeps, 0.89 / 0.2 = 4.45, so the safety factor η needs to be greater than 4.45. For safety, the safety factor is taken as 6. Based on the material combination of the waterproof layer meeting the waterproof demand, the economic optimal solution of the material combination of the waterproof layer per unit area is selected, so that the material combination of the waterproof layer meeting the waterproof condition and having the optimal economy is selected. The material price of the waterproof layer per unit area is P = m 沥青 · p 沥青 + m 纤维 · p 纤维 , wherein p 沥青 , p纤维 Respectively, the unit area unit price of asphalt and the unit area unit price of fiber.

[0050] In this embodiment, the design method is based on the parameter selection of the fiber asphalt bridge deck waterproof layer designed by features and optimized by artificial intelligence, the nonlinear coupling characteristics of the influencing factors of the waterproof layer are constructed, the support vector regression model is trained, the accurate prediction of the tensile strength of different material combinations is realized, and the selection of the optimal parameter combination of the bridge deck waterproof layer is guided, thereby further improving the efficiency of the material selection of the bridge deck waterproof layer, shortening the construction period, and reducing the time cost and the economic cost of material selection.

[0051] Further, in Example One:

[0052] According to engineering experience and bridge deck waterproof layer related regulations (specification requirements), the asphalt dosage, fiber dosage and fiber length range are preliminarily determined, and here the asphalt dosage is 1.2-2 kg / m 2 , the SBS modified asphalt dosage is 1.2-2 kg / m 2 , the fiber dosage is 45-100 g / m 2 , and the fiber length is 3-8 cm.

[0053] The orthogonal design method is used to make tensile test pieces and perform tensile property tests on different material combinations to obtain their tensile forces and tensile strengths.

[0054] The test piece making and test process is as shown in Figure 2 , a mold with a length x width x height of 10 cm x 7 cm x 3 cm is used, a layer of silicone oil paper is laid in it, and the lower layer of asphalt, fiber, and upper layer of asphalt are applied in turn according to the designed ratio, and after the strength reaches the designed value, the demolding process is performed.

[0055] Test: as shown in Figure 3 , the test piece short edges are clamped at both ends by a clamp, and a loading instrument is used to slowly load in displacement control mode, and the load value of the loading instrument is recorded, thereby calculating the tensile strength of different material combinations.

[0056] The test strength of the example combination is as shown in Table One:

[0057] Asphalt dosage (kg / m 2 )]]> Fiber amount (g / m 2 ) Fiber length (cm) Tensile strength (MPa) 1.2 45 4 1.329 1.2 60 5 1.411 1.2 75 6 1.394 1.2 75 5 1.146 1.5 75 6 1.102 1.8 45 6 0.931 1.8 60 4 0.993 1.8 75 5 0.837 1.4 45 4 1.172 1.4 60 4 1.322 1.4 75 4 1.133 1.5 45 4 1.222 1.5 60 4 1.3 1.6 45 4 1.211 1.6 75 4 1.123 Arbitrary 0 Arbitrary 0.33

[0058] According to the characteristics of the high-performance flexible anti-cracking seal coat combination material changes in the above table, the characteristic functions X1, X2, and X3 of the parameter change law are calculated, and the above X1, X2, and X3 are used as the input characteristics of the support vector regression (SVM), and the tensile strength σ t is used as the output characteristic to obtain the following table.

[0059] Table Two: Tensile Strength σ t Prediction Table

[0060]

[0061]

[0062] Based on the training data of table two, learning and prediction are carried out, so that the strength of high-performance flexible crack-resistant seal coat under different material combinations can be accurately obtained.

[0063] A plurality of test beams (simulate the cracking of bridge deck) are made, and waterproof layers of different material combinations are applied on the test beams, and the tensile strength of each material combination waterproof layer can be determined by the prediction model described above. The waterproof performance test scheme of the waterproof layer is as follows:

[0064] As shown in Figure 4 and 5 , through four-point loading test, the beam body of the test beam is cracked, and the crack is located below the preset water tank. When the beam body appears water seepage phenomenon, it indicates that the waterproof performance of the waterproof layer fails, and at the same time, the crack width W t at this time is measured by a crack measuring instrument. t Through the performance test of a plurality of waterproof layers of different material combinations, the results of crack width W can be obtained by substituting the critical crack width of the waterproof layer, so that the values of K, C and a can be obtained, and the waterproof performance of the waterproof layer on the bridge deck under different material combinations can be determined.

[0065] Based on the crack width of the bridge deck, the prediction model of the tensile strength of the waterproof layer of the bridge deck and the theoretical model of the waterproof performance of the waterproof layer of the bridge deck cracking, the material combination of the waterproof layer is selected

[0066] Further, based on the above-mentioned fiber asphalt flexible crack-resistant seal coat parameter selection and design method, the present application also provides example two, which obtains the parameter values of the waterproof performance model based on the design method of the present application:

[0067] In order to determine K, C and a for the waterproof performance test of the beam coated with non-fiber waterproof coating, the thickness of the waterproof layer is 1mm, 1.5mm and 2mm respectively, and the crack width of the concrete beam when the waterproof layer fails is 0.33mm, 0.59mm and 0.89mm respectively. That is, when t=1mm, W t =0.33mm, and the others are deduced in the same way. From the above, σ t =0.33Mpa, τ=0.4Mpa. Substitute into the formula Solve the equation to obtain K=0.08; C=0.2; a=1.6; that is,

[0068] In actual engineering design, it is necessary to meet The requirements of the waterproof layer material combination and thickness selected need to meet the requirements of the waterproof layer material combination and thickness selected need to meet For the cracked working concrete slab, the allowable crack width is 0.2mm,

[0069]

[0070] Meanwhile, the tensile strength of the sealing layer of different material combinations can be obtained based on the strength prediction model t The material combination satisfying the following conditions can be obtained, and the minimum unit of the asphalt amount is 0.1kg / m 2 for the control of the material amount and the construction, and the minimum unit of the fiber amount is 5g / m 2 The parameter combination satisfying the conditions can be obtained as

[0071] Table 3: Parameter combinations of different materials for strength

[0072]

[0073] The material prices are adjusted according to the market situation, the price of the asphalt is temporarily set as 5yuan / kg, the price of the fiber is set as 20yuan / kg, the unit area waterproof layer material price P = m 沥青 ·p 沥青 +m 纤维 ·p 纤维 It can be known that, under the condition of meeting the anti-cracking requirements, the asphalt amount is 1.6kg / m 2 , the fiber amount is 60g / m 2 , the material combination with the fiber length of 5cm has the lowest cost, and the material price of the fiber+asphalt is 9.2yuan / m 2 .

[0074] The technical features of the above embodiments can be combined arbitrarily, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combinations of the technical features do not contradict, they should be considered as the scope of the description.

[0075] The above embodiments only express several implementation manners of the present application, and the description is relatively specific and detailed, but it should not be understood as the limitation of the patent scope of the present application. It should be pointed out that, for ordinary skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which belong to the protection scope of the present application. Therefore, the patent protection scope of the present application should be subject to the appended claims.

Claims

1. A fiber asphalt flexible anti-cracking seal coat parameter selection and design method for quickly determining the material of a waterproof layer, characterized in that, The fiber asphalt flexible anti-cracking seal coat parameter selection and design method comprises the following steps: S1, establishing a strength prediction model: combining physical characteristic design and support vector machine algorithm, a nonlinear coupling characteristic of asphalt dosage, fiber dosage and fiber length is constructed, a support vector regression model is trained to obtain a prediction model of tensile strength of the bridge deck waterproof layer under different material combinations; S2, establishing a theoretical model of waterproof performance of the bridge deck slab cracking waterproof layer: based on the cracking principle of the waterproof layer and the stress balance of the waterproof layer, the function relationship between the equivalent stress length S of the waterproof layer and the thickness t and tensile strength σ of the waterproof layer is obtained t , and based on the function relationship between the critical crack width W t of the waterproof layer and K, C, and α, a test beam including a waterproof layer is made, the test beam is cracked and water permeated through loading test, the critical crack width W t of the test beam cracked and water permeated is measured, and performance tests of test beams of waterproof layers of different material combinations are carried out to calculate the values of K, C, and α of the waterproof layers of different material combinations, wherein K, C, and α are the waterproof performance correlation coefficients of the waterproof layers. S3, design of the bridge deck waterproof layer: based on the crack width of the bridge deck, the prediction model of tensile strength of the bridge deck waterproof layer, the waterproof performance theoretical model of the bridge deck cracking waterproof layer and the economy, the material combination of the waterproof layer is selected.

2. The fibered bituminous flexible anti-cracking chip seal parameter selection and design method according to claim 1, characterized in that, The prediction model of tensile strength of the bridge deck waterproof layer under different material combinations obtained in the S1 step comprises the following steps: S101, according to engineering experience and bridge deck waterproof layer specification requirements, the range of asphalt dosage, fiber dosage and fiber length is predicted; S102, an orthogonal design method is used to make test pieces of different material combinations and perform tensile performance test on the test pieces to obtain tensile force and tensile strength of the test pieces, based on the characteristic of combination material change in the test pieces of different material combinations, characteristic functions X1, X2 and X3 including variation law of each parameter are obtained, wherein X1 is a characteristic function of asphalt dosage, X2 is a characteristic function of fiber dosage, and X3 is a characteristic function of fiber length; S103. Using X1, X2, and X3 as input features of the support vector regression model, the input feature is tensile strength σ. t To obtain the tensile strength σ of the bridge deck waterproofing layer under different combinations, the output features are learned and predicted. t。 3. The fibered bituminous flexible anti-cracking chip seal parameter selection and design method according to claim 2, characterized in that, Assuming the asphalt amount (kg / m2) is A, the glass fiber amount (g / m2) is G, and the glass fiber length (cm) is L, then X1 = A, where X2 is a characteristic function of is the fiber / asphalt ratio, reflecting the density of fiber filling; λ is the rate of the effect of controlling the fiber amount; c is a constant, representing the weight of the effect of the amount of asphalt on the amount of fiber; L is the fiber length; L0 is the optimal fiber length; h is a parameter for controlling the influence rate of fiber.

4. The fibered bituminous flexible anti-cracking chip seal parameter selection and design method according to claim 3, characterized in that, When the amount of the fiber G = 0, the waterproof layer is all asphalt, the tensile strength σ t Fixed σ t = σ0.

5. The fibered bituminous flexible anti-cracking chip seal parameter selection and design method of claim 1, wherein, The allowable tensile stroke ΔS of the waterproof layer with the same thickness and length is the same, that is, when the waterproof layer with a length of S is stretched to S+ΔS, the waterproof layer fails.

6. The fibered bituminous flexible anti-cracking chip seal parameter selection and design method of claim 5, wherein, The stress calculation of the waterproof layer including fiber is as follows: For the convenience of calculation, take the unit width calculation, through the stress balance of the waterproof layer can be known that F = τS / 2, and F is the axial tension of the waterproof layer, that is, F = tσ t ; Therefore, τS / 2 = tσ t i.e. where t is the thickness of the waterproof layer t = m 沥青 / p 沥青 + m 纤维 / p 纤维 , m 沥青 , m 纤维 is the asphalt mass per unit area of the waterproof layer, the fiber mass; σ t is the tensile strength of the waterproof layer; τ is the ultimate shear stress of the waterproof coating.

7. The fibered bituminous flexible anti-cracking chip seal parameter selection and design method of claim 5, wherein, When the waterproof layer is water-permeable, the tensile length of the waterproof layer is equal to the width of the crack of the bridge deck slab, and the critical crack width W of the waterproof layer t = ΔS + Ct α , let then 8. The fibered bituminous flexible anti-cracking chip seal parameter selection and design method of claim 1, wherein, The material combination of the waterproof layer is selected in the S3 step, when The material combination of the waterproof layer is considered to meet the waterproof requirement, where η is a safety factor, W f is the allowable crack of the structural design.

9. The fibered bituminous flexible anti-cracking chip seal parameter selection and design method of claim 8, wherein, Based on the material combination of the waterproof layer meeting the waterproof requirement, the economic optimum solution of the material combination of the waterproof layer per unit area is selected, and the material price of the waterproof layer per unit area is P=m 沥青 · p 沥青 +m 纤维 · p 纤维 , wherein p 沥青 , p 纤维 are the unit area unit price of asphalt and the unit area unit price of fiber respectively.

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