Indoor and outdoor asphalt pavement anti-skid performance matching prediction method and system

Abstract

The invention provides an indoor and outdoor asphalt pavement anti-slide performance matching prediction method and system. The method comprises the following steps: obtaining an indoor asphalt pavement anti-slide performance prediction calculation formula based on a loading test; performing indoor and outdoor abrasion conversion on the obtained indoor asphalt pavement anti-skid performance prediction calculation formula to obtain an asphalt pavement anti-skid performance prediction calculation formula after indoor and outdoor abrasion conversion; and performing indoor and outdoor axle load conversion on the obtained asphalt pavement anti-skid performance prediction calculation formula after indoor and outdoor abrasion conversion to obtain an asphalt pavement anti-skid prediction calculation formula. According to the method, different abrasion conditions and degrees of wheels on an indoor abrasion test and an actual road surface to the road surface are considered, matching conversion is carried out on an indoor asphalt road surface anti-skid performance prediction calculation formula, a prediction model for accurately predicting the outdoor asphalt road surface anti-skid performance is obtained, and the method can be used for anti-skid design guidance work of the actual outdoor asphalt road surface.

Description

Technical Field

[0001] The present application relates to the technical field of anti-skid performance prediction of asphalt pavements, and in particular to a method and system for matching and predicting the anti-skid performance of indoor and outdoor asphalt pavements. Background Art

[0002] The research on the prediction of the anti-skid performance of asphalt pavement is mostly based on accelerated loading tests on asphalt mixtures using indoor small-scale wear equipment, and then fitting the relationship between the number of loading times and anti-skid performance, and then establishing a predictive relationship model between the anti-skid performance of asphalt pavement and the number of loading times.

[0003] However, the wear conditions and degree of wheel-to-road wear in indoor wear tests and on actual roads are different. It is difficult for indoor loading test environments to simulate the road test environment on actual roads with many types of vehicles and different axle loads. Therefore, the prediction calculation formula obtained is inaccurate and cannot guide the design of actual anti-skid roads. At present, there is no relationship model between the anti-skid performance of matching road surfaces and the number of loading times for indoor and outdoor anti-skid performance prediction. Summary of the invention

[0004] The present application provides a method for predicting the anti-skid performance of indoor and outdoor asphalt pavements, which can solve the technical problem of inaccurate prediction in the calculation formula for predicting the anti-skid performance of pavements obtained by indoor loading tests in the prior art.

[0005] In a first aspect, the present application provides a method for predicting the anti-skid performance of indoor and outdoor asphalt pavements, comprising the following steps:

[0006] Obtain the calculation formula for predicting the anti-skid performance of indoor asphalt pavement based on loading tests;

[0007] Performing indoor and outdoor wear conversion transformation on the obtained indoor asphalt pavement anti-skid performance prediction calculation formula to obtain the indoor and outdoor wear conversion transformation of the asphalt pavement anti-skid performance prediction calculation formula;

[0008] The asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion transformation is converted into indoor and outdoor axle loads to obtain the asphalt pavement anti-skid prediction calculation formula.

[0009] In combination with the first aspect, in one embodiment, the method of obtaining a prediction calculation formula for the anti-skid performance of an indoor asphalt pavement based on a loading test specifically includes the following steps:

[0010] Obtain the relationship model between the pavement's anti-skid performance and the number of loading times;

[0011] Obtain the calculation formula for the initial anti-skid performance and anti-skid attenuation rate of the asphalt pavement;

[0012] According to the relationship model between the pavement anti-skid performance and the number of loading times, the calculation formula for the initial anti-skid performance and the calculation formula for the anti-skid attenuation rate, the prediction calculation formula for the anti-skid performance of indoor asphalt pavement is obtained based on the loading test.

[0013] In combination with the first aspect, in one embodiment, the calculation formula for obtaining the initial anti-skid performance and the anti-skid attenuation rate of the asphalt pavement specifically includes the following steps:

[0014] Select a variety of different aggregates, test and obtain the abrasion and polishing values ​​of the aggregates and obtain the initial structural depth of the macro texture of the asphalt mixture corresponding to different aggregates;

[0015] Carry out loading test on asphalt mixture to obtain the initial anti-skid performance of asphalt mixture and the anti-skid performance during loading;

[0016] According to the initial anti-skid performance of the asphalt mixture and the initial structural depth and polishing value of the macro texture of the asphalt mixture, the calculation formula for the initial anti-skid performance of the asphalt pavement is obtained, as shown in the following formula:

[0017] A=a1*MPD+a2*PSV+a3

[0018] Where A is the initial anti-slip performance, MPD is the initial structural depth of the macro texture, PSV is the polishing value, a1 is the first initial anti-slip performance contribution coefficient, a2 is the second initial anti-slip performance contribution coefficient, and a3 is the initial anti-slip performance correction coefficient;

[0019] According to the anti-skid performance of asphalt mixture during loading and the wear and polishing value of aggregate, the calculation formula of anti-skid attenuation rate is obtained as shown in the following formula:

[0020] B=b1*Q+b2*PSV+b3

[0021] Wherein, B is the anti-slip attenuation rate, Q is the wear value, PSV is the polishing value, b1 is the first anti-slip attenuation rate contribution coefficient, b2 is the second anti-slip attenuation rate contribution coefficient, and b3 is the anti-slip attenuation rate correction coefficient.

[0022] In combination with the first aspect, in one embodiment, the obtained indoor asphalt pavement anti-skid performance prediction calculation formula is converted into indoor and outdoor wear to obtain the asphalt pavement anti-skid performance prediction calculation formula after the indoor and outdoor wear conversion, specifically including the following steps:

[0023] Get indoor and outdoor wear conversion factors;

[0024] According to the obtained indoor and outdoor wear conversion coefficients, the obtained indoor asphalt pavement anti-skid performance prediction calculation formula is subjected to wear conversion transformation to obtain the asphalt pavement anti-skid performance prediction calculation formula after the indoor and outdoor wear conversion transformation.

[0025] In combination with the first aspect, in one implementation, the obtained indoor and outdoor wear conversion coefficient is used to perform wear conversion transformation on the obtained indoor asphalt pavement anti-skid performance prediction calculation formula to obtain the asphalt pavement anti-skid performance prediction calculation formula after the indoor and outdoor wear conversion transformation, as shown in the following formula:

[0026] BPN=(a1*MPD+a2*PSV+a3)-(b1*Q+b2*PSV+b3)*ln(0.304*Ne+1)

[0027] Wherein, BPN is the swing value, MPD is the initial structural depth of the macro texture, PSV is the polishing value, a1 is the first initial anti-slip performance contribution coefficient, a2 is the second initial anti-slip performance contribution coefficient, a3 is the initial anti-slip performance correction coefficient, Q is the wear value, PSV is the polishing value, b1 is the first anti-slip attenuation rate contribution coefficient, b2 is the second anti-slip attenuation rate contribution coefficient, b3 is the anti-slip attenuation rate correction coefficient, and Ne is the number of loading times.

[0028] In combination with the first aspect, in one embodiment, the asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion is converted into an indoor and outdoor axle load conversion to obtain the asphalt pavement anti-skid prediction calculation formula, specifically including the following steps:

[0029] Get indoor and outdoor axle load conversion factors;

[0030] According to the obtained indoor and outdoor axle load conversion coefficients, the asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion is converted into an indoor and outdoor axle load conversion to obtain the asphalt pavement anti-skid prediction calculation formula.

[0031] In combination with the first aspect, in one implementation, obtaining the indoor and outdoor axle load conversion coefficient specifically includes the following steps:

[0032] Obtain the outdoor anti-skid performance of the newly built asphalt pavement, the microscopic performance parameters of the aggregate of the newly built asphalt pavement, and the macroscopic performance parameters of the asphalt mixture;

[0033] Conduct outdoor anti-skid road tests on newly built asphalt pavement, and collect road test data of newly built asphalt pavement in each year;

[0034] The predicted number of axle load actions on newly built asphalt pavement in each year is obtained by back-calculating the road test data of newly built asphalt pavement in each year;

[0035] The predicted number of axle load actions on the newly built asphalt pavement in each year is obtained by back calculation, and the indoor and outdoor axle load conversion coefficients are obtained.

[0036] In combination with the first aspect, in one implementation, according to the obtained indoor and outdoor axle load conversion coefficient, the indoor and outdoor axle load conversion conversion is performed on the asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion conversion, and the swing value prediction calculation formula in the indoor asphalt pavement anti-skid performance index is obtained, as shown in the following formula:

[0037] BPN=(a1*MPD+a2*PSV+a3)-(b1*Q+b2*PSV+b3)*ln(0.304*Ne / ɑ+1)

[0038] According to the conversion formula of the swing value and the lateral force coefficient, the prediction calculation formula for obtaining the indoor and outdoor axle load conversion coefficient SFC of the outdoor asphalt pavement is as follows:

[0039] SFC=1.98*[(a1*MPD+a2*PSV+a3)-(b1*Q+b2*PSV+b3)*ln(0.304*Ne / ɑ+1)]-34.

[0040] In a second aspect, the present application provides a system for predicting the anti-skid performance of indoor and outdoor asphalt pavements, including:

[0041] An existing anti-skid prediction model acquisition module is used to obtain an indoor asphalt pavement anti-skid performance prediction calculation formula based on a loading test;

[0042] A wear conversion module is connected to the existing anti-skid prediction model acquisition module, and is used to convert the obtained indoor asphalt pavement anti-skid performance prediction calculation formula into indoor and outdoor wear, and obtain the asphalt pavement anti-skid performance prediction calculation formula after the indoor and outdoor wear conversion;

[0043] The indoor and outdoor axle load conversion module is in communication with the wear conversion module and is used to perform indoor and outdoor axle load conversion on the asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion transformation to obtain the asphalt pavement anti-skid prediction calculation formula.

[0044] In one embodiment, the indoor and outdoor axle load conversion module includes:

[0045] An indoor and outdoor axle load conversion factor acquisition unit is used to acquire indoor and outdoor axle load conversion factors;

[0046] The indoor and outdoor axle load conversion unit is communicatively connected with the indoor and outdoor axle load conversion coefficient acquisition unit, and is used to perform indoor and outdoor axle load conversion transformation on the asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion transformation according to the acquired indoor and outdoor axle load conversion coefficients, so as to obtain the asphalt pavement anti-skid prediction calculation formula.

[0047] The beneficial effects brought by the technical solution provided by the embodiment of the present application include at least:

[0048] This application takes into account the differences in conditions and degrees of wheel-to-road wear in indoor wear tests and actual road surfaces, matches and converts the calculation formula for predicting the anti-skid performance of indoor asphalt pavements, and obtains a prediction model for accurately predicting the anti-skid performance of outdoor asphalt pavements, which can be used to guide the anti-skid design of actual outdoor asphalt pavements. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A schematic diagram of the flow chart of the method for predicting the anti-skid performance matching of indoor and outdoor asphalt pavements in this application;

[0050] Figure 2 It is the actual wheel swing frequency diagram within the width of a lane;

[0051] Figure 3 This is the fitting relationship diagram between the anti-slip performance and the number of loading times in indoor tests. DETAILED DESCRIPTION

[0052] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0053] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.

[0054] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.

[0055] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0056] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0057] First, some technical terms in the present application are explained to facilitate those skilled in the art to understand the present application.

[0058] SFC: Side-Force Coefficient, lateral force coefficient;

[0059] BPN: British Pendulum Number, pendulum value;

[0060] SFC and BPN are different indicators of pavement skid resistance;

[0061] MPD is the initial structural depth of the macrotexture;

[0062] Q is the abrasiveness value of aggregate;

[0063] PSV is the polishing value of the aggregate.

[0064] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0065] First, please refer to Figure 1 The present application embodiment provides a method for predicting the anti-skid performance of indoor and outdoor asphalt pavements, comprising the following steps:

[0066] Step S1: obtaining a calculation formula for predicting the anti-skid performance of an indoor asphalt pavement based on a loading test;

[0067] Step S2: performing indoor and outdoor wear conversion on the obtained indoor asphalt pavement anti-skid performance prediction calculation formula to obtain the asphalt pavement anti-skid performance prediction calculation formula after indoor and outdoor wear conversion;

[0068] Step S3: performing indoor and outdoor axle load conversion transformation on the asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion transformation, to obtain the asphalt pavement anti-skid prediction calculation formula.

[0069] This application takes into account the differences in conditions and degrees of wheel-to-road wear in indoor wear tests and actual road surfaces, matches and converts the calculation formula for predicting the anti-skid performance of indoor asphalt pavements, and obtains a prediction model for accurately predicting the anti-skid performance of outdoor asphalt pavements, which can be used to guide the anti-skid design of actual outdoor asphalt pavements.

[0070] In one embodiment, the step S1: obtaining a prediction calculation formula for the anti-skid performance of an indoor asphalt pavement based on a loading test, specifically includes the following steps:

[0071] Step S11: obtaining a relationship model between the anti-skid performance of the road surface and the number of loading times;

[0072] Step S12: obtaining a calculation formula for the initial anti-skid performance and an anti-skid attenuation rate of the asphalt pavement;

[0073] Step S13: According to the relationship model between the pavement anti-skid performance and the number of loading times, the initial anti-skid performance calculation formula and the anti-skid attenuation rate calculation formula, a prediction calculation formula for the anti-skid performance of an indoor asphalt pavement is obtained based on the loading test.

[0074] In one embodiment, the step S11: obtaining a relationship model between the anti-skid performance of the road surface and the number of loading times is as shown in the following formula:

[0075] BPN=AB*ln(Ne+1) Formula (1)

[0076] Where BPN is the swing value, A is the initial anti-slip performance, B is the anti-slip attenuation rate, and Ne is the number of loading times.

[0077] In one embodiment, the step S12: obtaining the calculation formula for the initial anti-skid performance and the anti-skid attenuation rate of the asphalt pavement specifically includes the following steps:

[0078] Step S121: select a plurality of different aggregates, test and obtain the abrasion value Q and polishing value PSV of the aggregates; prepare asphalt mixtures of different aggregates, and use a pavement texture scanner to obtain the macro texture initial structure depth MPD of the asphalt mixture corresponding to the different aggregates;

[0079] Step S122: performing a loading test on the asphalt mixture to obtain the initial anti-skid performance of the asphalt mixture and the anti-skid performance during the loading process;

[0080] Step S123: According to the initial anti-skid performance of the asphalt mixture and the initial structural depth and polishing value of the macro texture of the asphalt mixture, a calculation formula for the initial anti-skid performance of the asphalt pavement is obtained, as shown in the following formula:

[0081] A=a1*MPD+a2*PSV+a3Formula (II)

[0082] Where A is the initial anti-slip performance, MPD is the initial structural depth of the macro texture, PSV is the polishing value, a1 is the first initial anti-slip performance contribution coefficient, a2 is the second initial anti-slip performance contribution coefficient, and a3 is the initial anti-slip performance correction coefficient.

[0083] Step S124: According to the anti-skid performance of the asphalt mixture during the loading process and the wear value and polishing value of the aggregate, a calculation formula for the anti-skid attenuation rate is obtained, as shown in the following formula:

[0084] B=b1*Q+b2*PSV+b3 Formula (III)

[0085] Wherein, B is the anti-slip attenuation rate, Q is the wear value, PSV is the polishing value, b1 is the first anti-slip attenuation rate contribution coefficient, b2 is the second anti-slip attenuation rate contribution coefficient, and b3 is the anti-slip attenuation rate correction coefficient.

[0086] In one embodiment, step S13: according to the relationship model between the pavement anti-skid performance and the number of loading times, the initial anti-skid performance calculation formula and the anti-skid attenuation rate calculation formula, the indoor asphalt pavement anti-skid performance prediction calculation formula is obtained based on the loading test, which is specifically implemented as follows:

[0087] Substituting equations (2) and (3) into equation (1), the prediction formula for the anti-skid performance of indoor asphalt pavement is as follows:

[0088] BPN=(a1*MPD+a2*PSV+a3)-(b1*Q+b2*PSV+b3)*ln(Ne+1) Formula (4)

[0089] The indoor asphalt pavement anti-skid performance prediction calculation formula in this application refers to the use of indoor small-scale accelerated loading equipment to load the asphalt mixture of the asphalt pavement to obtain loading test data, and the swing value of the asphalt pavement is calculated based on formula (IV).

[0090] In one embodiment, during the loading test of asphalt mixture using indoor small-scale accelerated loading equipment, the indoor accelerated wear tires always wear along a fixed route, while the wear track of the wheel on the road surface in the actual road surface is not fixed, and the wear track on the road surface swings laterally. Considering the different wear conditions and degrees of the wheel on the road surface in the indoor wear test and the actual road surface, wear conversion transformation is required. The step S2: performing indoor and outdoor wear conversion transformation on the obtained indoor asphalt pavement anti-skid performance prediction calculation formula to obtain the asphalt pavement anti-skid performance prediction calculation formula after indoor and outdoor wear conversion transformation specifically includes the following steps:

[0091] Step S21: Obtain indoor and outdoor wear conversion coefficient;

[0092] Step S22: performing wear conversion transformation on the obtained indoor asphalt pavement anti-skid performance prediction calculation formula according to the obtained indoor and outdoor wear conversion coefficients, and obtaining the asphalt pavement anti-skid performance prediction calculation formula after the indoor and outdoor wear conversion transformation.

[0093] In one embodiment, the wheel swing frequency within a lane width is as follows: Figure 2 As shown, the step S21: obtains the indoor and outdoor wear conversion coefficient, more specifically: converts the trajectory length of the fixed route and the lateral swing to obtain the indoor and outdoor wear conversion coefficient, specifically, 0.304 times the actual number of vehicle actions is used as the conversion coefficient for converting the outdoor wear number to the indoor wear number, 1 / 0.304 is the conversion coefficient for converting the indoor wear number to the outdoor wear number, that is, the outdoor wear degree (or wear number) is 1 / 0.304 times the indoor wear degree.

[0094] In one embodiment, step S22: according to the obtained indoor and outdoor wear conversion coefficient, the obtained indoor asphalt pavement anti-skid performance prediction calculation formula is subjected to wear conversion transformation, and the asphalt pavement anti-skid performance prediction calculation formula after the indoor and outdoor wear conversion transformation is obtained, as shown in the following formula:

[0095] BPN=(a1*MPD+a2*PSV+a3)-(b1*Q+b2*PSV+b3)*ln(0.304*Ne+1) Formula (5)

[0096] Wherein, BPN is the swing value, MPD is the initial structural depth of the macro texture, PSV is the polishing value, a1 is the first initial anti-slip performance contribution coefficient, a2 is the second initial anti-slip performance contribution coefficient, a3 is the initial anti-slip performance correction coefficient, Q is the wear value, PSV is the polishing value, b1 is the first anti-slip attenuation rate contribution coefficient, b2 is the second anti-slip attenuation rate contribution coefficient, b3 is the anti-slip attenuation rate correction coefficient, and Ne is the number of loading times.

[0097] In one embodiment, considering that there are many types of vehicles on the actual asphalt pavement and the axle loads are different, it is necessary to further perform indoor and outdoor axle load action times conversion. The step S3: performing indoor and outdoor axle load conversion on the asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion conversion to obtain the asphalt pavement anti-skid prediction calculation formula specifically includes the following steps:

[0098] Step S31: Obtain indoor and outdoor axle load conversion coefficients;

[0099] Step S32: According to the obtained indoor and outdoor axle load conversion coefficient, the asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion is converted into an indoor and outdoor axle load conversion to obtain the asphalt pavement anti-skid prediction calculation formula.

[0100] In one embodiment, the step S31: obtaining indoor and outdoor axle load conversion coefficients specifically includes the following steps:

[0101] Step S311: Obtaining the outdoor anti-skid performance of the newly built asphalt pavement, the microscopic performance parameters of the aggregate of the newly built asphalt pavement, and the macroscopic performance parameters of the asphalt mixture;

[0102] Step S312: Conducting an outdoor anti-skid road test on the newly built asphalt pavement and collecting the road test data of the newly built asphalt pavement in each year;

[0103] Step S313: obtaining the predicted number of axle load actions of the newly built asphalt pavement in each year by reverse calculation based on the road test data of the newly built asphalt pavement in each year;

[0104] Step S314: Obtain the predicted number of axle load actions on the newly built asphalt pavement in each year through back calculation, and obtain the indoor and outdoor axle load conversion coefficient.

[0105] In one embodiment, the step S311: obtaining the outdoor anti-skid performance of the newly built asphalt pavement and the microscopic performance parameters of the aggregate of the newly built asphalt pavement and the macroscopic performance parameters of the asphalt mixture, specifically including the aggregate type of the pavement (i.e., Q' and PSV' are known), the initial structural depth MPD' of the asphalt mixture made of the aggregate, and substituting into formula (V) to obtain the prediction calculation formula for the anti-skid performance of the newly built asphalt pavement:

[0106] BPN'=(a1*MPD'+a2*PSV'+a3)-(b1*Q'+b2*PSV'+b3)*ln(0.304*Ne'+1) Formula (6)

[0107] Where BPN' is the predicted swing value of the newly built asphalt pavement, MPD' is the initial construction depth of the asphalt mixture of the newly built asphalt pavement, Q' is the wear value of the aggregate of the newly built asphalt pavement, PSV' is the polishing value of the aggregate of the newly built asphalt pavement, and Ne' is the predicted number of axle load actions on the newly built asphalt pavement in each year.

[0108] In one embodiment, the step S312: conducting an outdoor anti-skid road test on the newly built asphalt pavement, and road test data of the newly built asphalt pavement in each year;

[0109] Step S3121: Based on the conversion formula between the lateral force coefficient and the pendulum value obtained from a large number of existing research statistics:

[0110] SFC=1.98*BPN-34 (Formula VII)

[0111] Where SFC is the lateral force coefficient and BPN is the swing value.

[0112] Step S3122: Obtain a set of road test data including the number of axle load observations and anti-skid performance of the newly built asphalt pavement through observation and conversion (taking four years as an example):

[0113] Ne1~SFC1~BPN1;

[0114] Ne2~SFC2~BPN2;

[0115] Ne3~SFC3~BPN3;

[0116] Ne4~SFC4~BPN4.

[0117] Among them, Ne1, Ne2, Ne3, and Ne4 are the observation times of axle load action on asphalt pavement in the first year, the second year, the third year, and the fourth year of road test respectively; SFC1, SFC2, SFC3, and SFC4 are the lateral force coefficients of asphalt pavement in the first year, the second year, the third year, and the fourth year of road test respectively; BPN1, BPN2, BPN3, and BPN4 are the converted pendulum values ​​of asphalt pavement in the first year, the second year, the third year, and the fourth year of road test respectively.

[0118] In one embodiment, step S313: obtain the predicted number of axle load actions on the newly built asphalt pavement in each year by reverse calculation based on the road test data of the newly built asphalt pavement in each year; specifically, substitute the swing values ​​BPN1, BPN2, BPN3, BPN4........ and MPD', Q', PSV' of the asphalt pavement in each year into the swing value prediction calculation formula of the newly built asphalt pavement, and reversely calculate the predicted number of axle load actions Ne1', Ne2', Ne3', Ne4'...... for each year; due to the different degrees of wear of indoor and outdoor tires on the road surface, the observed number of axle load actions on the outdoor asphalt pavement in each year is not equal to the predicted number of axle load actions on the newly built asphalt pavement in each year, Ne1≠Ne1', Ne2≠Ne2', Ne3≠Ne3', Ne4≠Ne4'.......

[0119] In one embodiment, the step S314: obtains the predicted number of axle load actions of the newly built asphalt pavement in each year by back calculation, and obtains the indoor and outdoor axle load conversion coefficient ɑ:

[0120] ɑ=(Ne1+Ne2+Ne3+Ne4+....) / (Ne1'+Ne2'+Ne3'+Ne4'+.....) Formula (8)

[0121] Wherein, ɑ is the conversion coefficient of axle load action times; Ne1, Ne2, Ne3, Ne4 are the observed times of axle load action on asphalt pavement in the first, second, third and fourth years of road test respectively; Ne1', Ne2', Ne3', Ne4' are the predicted times of axle load action on asphalt pavement in the first, second, third and fourth years of road test respectively.

[0122] In one embodiment, the step S32: according to the obtained indoor and outdoor axle load conversion coefficient, the obtained indoor and outdoor wear conversion conversion of the asphalt pavement anti-skid performance prediction calculation formula is converted into an indoor and outdoor axle load, and the outdoor asphalt pavement anti-skid performance index-swing value prediction calculation formula is obtained, as shown in the following formula:

[0123] BPN=(a1*MPD+a2*PSV+a3)-(b1*Q+b2*PSV+b3)*ln(0.304*Ne / ɑ+1) Formula (9)

[0124] According to the conversion formula of the swing value and the lateral force coefficient, the prediction calculation formula for the lateral force coefficient SFC index of the asphalt pavement is as follows:

[0125] SFC=1.98*[(a1*MPD+a2*PSV+a3)-(b1*Q+b2*PSV+b3)*ln(0.304*Ne / ɑ+1)]-34 formula (ten)

[0126] Based on formula (9) and formula (10), the matching conversion of the anti-skid performance prediction calculation formula of the indoor asphalt pavement obtained by the indoor loading test to the anti-skid prediction calculation formula of the outdoor asphalt pavement can be completed.

[0127] In a specific embodiment, asphalt mixtures with 8 different aggregates are prepared, and an accelerated wear test (i.e., a loading test) is performed indoors using a small accelerated loading device MMLS to test the anti-skid performance BPN of the asphalt mixture. The loading is stopped until it stabilizes, and a fitting relationship diagram between BPN and the number of loadings is drawn as shown in FIG. Figure 3 As shown, the relationship model BPN=AB*ln(Ne+1) between the anti-slip performance BPN and the loading times Ne was obtained by fitting with Origin software.

[0128] Table 1 Test data of indoor loading test of asphalt mixture

[0129]

[0130] The fitting parameters of the relationship model between the anti-slip performance BPN and the loading number Ne are shown in Tables 2 and 3:

[0131] Table 2 Fitting parameters

[0132]

[0133] Table 3 List of initial anti-skid performance anti-skid attenuation rate data obtained by fitting

[0134]

[0135]

[0136] The Origin software was used to fit the following:

[0137] The relationship model between A and the macro texture MPD of the mixture and the polishing value PSV of the aggregate is shown as follows:

[0138] A=3.71773MPD+0.33078PSV+37.47198

[0139] The relationship model between B and aggregate abrasion value Q and polishing value PSV

[0140] B=0.10854Q-0.08791PSV+6.93313

[0141] Substitute A and B into the relationship model BPN=AB*ln(Ne+1) between the anti-skid performance BPN and the number of loading times Ne, and obtain the asphalt pavement anti-skid performance prediction calculation formula based on the indoor loading test as shown below:

[0142] BPN=(3.71773MPD+0.33078PSV+37.47198)-(0.10854Q-0.08791PSV+6.93313)*ln(Ne+1)

[0143] Considering the lateral swing of the wheel on a lane, Ne*0.304 is converted into indoor and outdoor wear, as shown in the following formula:

[0144] BPN=(3.71773MPD+0.33078PSV+37.47198)-(0.10854Q-0.08791PSV+6.93313)*ln(0.304*Ne+1)

[0145] The anti-skid data of the pavement aggregate of a newly built highway in 2016 and its four-year period observed outdoors are shown in Table 4 (data from a highway maintenance company).

[0146] Table 4 Aggregate polishing value, abrasion value and initial structural depth of macro texture of a newly built expressway

[0147] Q PSV MPD 13.89 49 1.351

[0148] Substituting into the above formula we get:

[0149] BPN=58.7-4.133*ln(0.304*Ne+1)

[0150] The cumulative number of axle load observations in each year of the actual road test of the newly built expressway is obtained, as shown in Table 5:

[0151] Table 5 Cumulative axle load observation times of actual road tests of newly built expressways in each year

[0152]

[0153]

[0154] According to the conversion formula of lateral force coefficient and pendulum value SFC = 1.98*BPN-34, the corresponding BPN value can be obtained as shown in Table 6:

[0155] Table 6 The converted pendulum value and lateral force coefficient

[0156] SFC 50.7 45.1 39.9 36.7 BPN 42.8 39.9 37.3 35.7

[0157] Substitute the BPN value in the table into the formula: BPN = 58.7-4.133*ln(0.304*Ne+1), and calculate the predicted number of axle load Ne' as shown in Table 7:

[0158] Table 7 Prediction of axle load action obtained by back calculation

[0159] BPN 42.8 39.9 37.3 35.7 Ne' 1.508 million times 3.076 million times 5.799 million times 8.556 million times

[0160] It can be seen that the number of axle load observations is not equal to the number of axle load predictions Ne≠Ne', so the calculation formula for the indoor and outdoor axle load conversion coefficient is as follows:

[0161] ɑ=(Ne1+Ne2+Ne3+Ne4) / (Ne1'+Ne2'+Ne3'+Ne4')=(322+691+1114+1594) / (150.8+307.6+579.9+855.6)=2

[0162] That is, in the MMLS accelerated loading test, every two loading actions are equivalent to one axle load applied by an outdoor tire to the road surface.

[0163] For this highway, the asphalt pavement skid resistance prediction calculation formula is:

[0164] BPN=58.7-4.133*ln(0.304*Ne / 2+1)

[0165] SFC=1.98*BPN-34=1.98*[58.7-4.133*ln(0.304*Ne / 2+1)]-34=82.23-8.18*ln(0.152Ne+1), that is, SFC=82.23-8.18*ln(0.152Ne+1)

[0166] According to the actual traffic volume, the revised SFC prediction value is obtained by substituting it into the above formula as shown in Table 8:

[0167] Table 8 Comparison table of swing value prediction and measured value of newly built asphalt highway

[0168] SFC measurement 50.7 45.1 39.9 36.7 SFC Prediction 50.2 44.1 40.2 37.3 Relative error 0.9％ 2.2％ 0.7％ 1.6％

[0169] It can be seen from Table 8 that the relative errors between the SFC predicted value and the SFC measured value are both within 3%, indicating that the prediction accuracy of the asphalt pavement anti-skid prediction calculation formula obtained by matching and converting in this application is relatively high, and it can achieve the matching between the indoor loading test and the outdoor actual pavement anti-skid prediction.

[0170] In a second aspect, the present application provides a system for predicting the anti-skid performance of indoor and outdoor asphalt pavements, including:

[0171] An existing anti-skid prediction model acquisition module is used to obtain an indoor asphalt pavement anti-skid performance prediction calculation formula based on a loading test;

[0172] A wear conversion module is connected to the existing anti-skid prediction model acquisition module, and is used to convert the obtained indoor asphalt pavement anti-skid performance prediction calculation formula into indoor and outdoor wear, and obtain the asphalt pavement anti-skid performance prediction calculation formula after the indoor and outdoor wear conversion;

[0173] The indoor and outdoor axle load conversion module is in communication with the wear conversion module and is used to perform indoor and outdoor axle load conversion on the asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion transformation to obtain the asphalt pavement anti-skid prediction calculation formula.

[0174] In one embodiment, the indoor and outdoor axle load conversion module includes:

[0175] An indoor and outdoor axle load conversion factor acquisition unit is used to acquire indoor and outdoor axle load conversion factors;

[0176] The indoor and outdoor axle load conversion unit is communicatively connected with the indoor and outdoor axle load conversion coefficient acquisition unit, and is used to perform indoor and outdoor axle load conversion transformation on the asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion transformation according to the acquired indoor and outdoor axle load conversion coefficients, so as to obtain the asphalt pavement anti-skid prediction calculation formula.

[0177] Among them, the functional implementation of each module in the above-mentioned indoor and outdoor asphalt pavement anti-skid performance matching prediction system corresponds to the steps in the above-mentioned indoor and outdoor asphalt pavement anti-skid performance matching prediction method embodiment, and its functions and implementation processes will not be repeated here one by one.

[0178] In a third aspect, an embodiment of the present application provides a device for predicting the anti-skid performance matching of indoor and outdoor asphalt pavements. The device for predicting the anti-skid performance matching of indoor and outdoor asphalt pavements can be a personal computer (PC), a laptop computer, a server, or other device with data processing capabilities.

[0179] The communication interface includes input / output (I / O) interface, physical interface and logical interface, etc., which are used to realize the interconnection of devices inside the indoor and outdoor asphalt pavement anti-skid performance matching prediction device, and the interface used to realize the interconnection of the indoor and outdoor asphalt pavement anti-skid performance matching prediction device with other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, an optical fiber interface, an ATM interface, etc.; the user device can be a display (Display), a keyboard (Keyboard), etc.

[0180] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0181] The processor may be a general-purpose processor, which may call the indoor and outdoor asphalt pavement anti-skid performance matching prediction program stored in the memory and execute the indoor and outdoor asphalt pavement anti-skid performance matching prediction method provided in the embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the indoor and outdoor asphalt pavement anti-skid performance matching prediction program is called may refer to the various embodiments of the indoor and outdoor asphalt pavement anti-skid performance matching prediction method of the present application, which will not be described in detail here.

[0182] In a fourth aspect, an embodiment of the present application also provides a readable storage medium.

[0183] The readable storage medium of the present application stores an indoor and outdoor asphalt pavement anti-skid performance matching prediction program, wherein when the indoor and outdoor asphalt pavement anti-skid performance matching prediction program is executed by a processor, the steps of the indoor and outdoor asphalt pavement anti-skid performance matching prediction method as described above are implemented.

[0184] Among them, the method implemented when the indoor and outdoor asphalt pavement anti-skid performance matching prediction program is executed can refer to the various embodiments of the indoor and outdoor asphalt pavement anti-skid performance matching prediction method of the present application, and will not be repeated here.

[0185] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0186] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.

[0187] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for predicting the anti-skid performance of indoor and outdoor asphalt pavements, characterized in that: The following steps are involved: Obtain the calculation formula for predicting the anti-skid performance of indoor asphalt pavement based on loading tests; Performing indoor and outdoor wear conversion transformation on the obtained indoor asphalt pavement anti-skid performance prediction calculation formula to obtain the indoor and outdoor wear conversion transformation of the asphalt pavement anti-skid performance prediction calculation formula; The asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion transformation is converted into indoor and outdoor axle loads to obtain the asphalt pavement anti-skid prediction calculation formula.

2. The method for predicting the anti-skid performance of indoor and outdoor asphalt pavements according to claim 1, characterized in that: The method of obtaining the indoor asphalt pavement anti-skid performance prediction calculation formula based on the loading test specifically includes the following steps: Obtain the relationship model between the pavement's anti-skid performance and the number of loading times; Obtain the calculation formula for the initial anti-skid performance and anti-skid attenuation rate of the asphalt pavement; According to the relationship model between the pavement anti-skid performance and the number of loading times, the calculation formula for the initial anti-skid performance and the calculation formula for the anti-skid attenuation rate, the prediction calculation formula for the anti-skid performance of indoor asphalt pavement is obtained based on the loading test.

3. The method for predicting the anti-skid performance of indoor and outdoor asphalt pavements according to claim 2, characterized in that: The method for obtaining the initial anti-skid performance calculation formula and the anti-skid attenuation rate calculation formula of the asphalt pavement specifically includes the following steps: Select a variety of different aggregates, test and obtain the abrasion and polishing values ​​of the aggregates and obtain the initial structural depth of the macro texture of the asphalt mixture corresponding to different aggregates; Carry out loading test on asphalt mixture to obtain the initial anti-skid performance of asphalt mixture and the anti-skid performance during loading; According to the initial anti-skid performance of the asphalt mixture and the initial structural depth and polishing value of the macro texture of the asphalt mixture, the calculation formula for the initial anti-skid performance of the asphalt pavement is obtained, as shown in the following formula: A=a1*MPD+a2*PSV+a3 Where A is the initial anti-slip performance, MPD is the initial structural depth of the macro texture, PSV is the polishing value, a1 is the first initial anti-slip performance contribution coefficient, a2 is the second initial anti-slip performance contribution coefficient, and a3 is the initial anti-slip performance correction coefficient; According to the anti-skid performance of asphalt mixture during loading and the wear and polishing value of aggregate, the calculation formula of anti-skid attenuation rate is obtained as shown in the following formula: B=b1*Q+b2*PSV+b3 Wherein, B is the anti-slip attenuation rate, Q is the wear value, PSV is the polishing value, b1 is the first anti-slip attenuation rate contribution coefficient, b2 is the second anti-slip attenuation rate contribution coefficient, and b3 is the anti-slip attenuation rate correction coefficient.

4. The method for predicting the anti-skid performance of indoor and outdoor asphalt pavements according to claim 1, characterized in that: The method of converting the obtained indoor asphalt pavement anti-skid performance prediction calculation formula into indoor and outdoor wear conversion to obtain the asphalt pavement anti-skid performance prediction calculation formula after the indoor and outdoor wear conversion conversion specifically includes the following steps: Get indoor and outdoor wear conversion factors; According to the obtained indoor and outdoor wear conversion coefficients, the obtained indoor asphalt pavement anti-skid performance prediction calculation formula is subjected to wear conversion transformation to obtain the asphalt pavement anti-skid performance prediction calculation formula after the indoor and outdoor wear conversion transformation.

5. The method for predicting the anti-skid performance of indoor and outdoor asphalt pavements according to claim 4, characterized in that: According to the obtained indoor and outdoor wear conversion coefficient, the obtained indoor asphalt pavement anti-skid performance prediction calculation formula is subjected to wear conversion transformation to obtain the asphalt pavement anti-skid performance prediction calculation formula after the indoor and outdoor wear conversion transformation, as shown in the following formula: BPN=(a1*MPD+a2*PSV+a3)-(b1*Q+b2*PSV+b3)*ln(0.304*Ne+1)wherein, BPN is the pendulum value, MPD is the initial structural depth of the macro texture, PSV is the polishing value, a1 is the first initial anti-slip performance contribution coefficient, a2 is the second initial anti-slip performance contribution coefficient, a3 is the initial anti-slip performance correction coefficient, Q is the wear value, PSV is the polishing value, b1 is the first anti-slip attenuation rate contribution coefficient, b2 is the second anti-slip attenuation rate contribution coefficient, b3 is the anti-slip attenuation rate correction coefficient, and Ne is the number of loading times.

6. The method for predicting the anti-skid performance of indoor and outdoor asphalt pavements according to claim 1, characterized in that: The asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion is converted into indoor and outdoor axle load conversion to obtain the asphalt pavement anti-skid prediction calculation formula, specifically including the following steps: Get indoor and outdoor axle load conversion factors; According to the obtained indoor and outdoor axle load conversion coefficients, the asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion is converted into an indoor and outdoor axle load conversion to obtain the asphalt pavement anti-skid prediction calculation formula.

7. The method for predicting the anti-skid performance of indoor and outdoor asphalt pavements according to claim 6, characterized in that: The step of obtaining the indoor and outdoor axle load conversion coefficient specifically includes the following steps: Obtain the outdoor anti-skid performance of the newly built asphalt pavement, the microscopic performance parameters of the aggregate of the newly built asphalt pavement, and the macroscopic performance parameters of the asphalt mixture; Conduct outdoor anti-skid road tests on newly built asphalt pavement, and collect road test data of newly built asphalt pavement in each year; The predicted number of axle load actions on newly built asphalt pavement in each year is obtained by back-calculating the road test data of newly built asphalt pavement in each year; The predicted number of axle load actions on the newly built asphalt pavement in each year is obtained by back calculation, and the indoor and outdoor axle load conversion coefficients are obtained.

8. The method for predicting the anti-skid performance of indoor and outdoor asphalt pavements according to claim 6, characterized in that: According to the obtained indoor and outdoor axle load conversion coefficient, the indoor and outdoor axle load conversion conversion is performed on the asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion conversion, and the swing value prediction calculation formula of the indoor asphalt pavement anti-skid performance index is obtained, as shown in the following formula: BPN=(a1*MPD+a2*PSV+a3)-(b1*Q+b2*PSV+b3)*ln(0.304*Ne / ɑ+1) In the formula, ɑ is the indoor and outdoor axle load conversion factor; According to the conversion formula of pendulum value and lateral force coefficient, the prediction calculation formula of the lateral force coefficient SFC of indoor asphalt pavement is as follows: SFC=1.98*[(a1*MPD+a2*PSV+a3)-(b1*Q+b2*PSV+b3)*ln(0.304*Ne / ɑ+1)]-34.

9. A system for predicting the anti-skid performance of indoor and outdoor asphalt pavements, characterized in that: include: An existing anti-skid prediction model acquisition module is used to obtain an indoor asphalt pavement anti-skid performance prediction calculation formula based on a loading test; A wear conversion module is connected to the existing anti-skid prediction model acquisition module, and is used to convert the obtained indoor asphalt pavement anti-skid performance prediction calculation formula into indoor and outdoor wear, and obtain the asphalt pavement anti-skid performance prediction calculation formula after the indoor and outdoor wear conversion; The indoor and outdoor axle load conversion module is in communication with the wear conversion module and is used to perform indoor and outdoor axle load conversion on the asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion transformation to obtain the asphalt pavement anti-skid prediction calculation formula.

10. The indoor and outdoor asphalt pavement anti-skid performance matching prediction system according to claim 9, characterized in that: The indoor and outdoor axle load conversion module includes: An indoor and outdoor axle load conversion factor acquisition unit is used to acquire indoor and outdoor axle load conversion factors; The indoor and outdoor axle load conversion unit is communicatively connected with the indoor and outdoor axle load conversion coefficient acquisition unit, and is used to perform indoor and outdoor axle load conversion transformation on the asphalt pavement anti-skid performance prediction calculation formula obtained after the indoor and outdoor wear conversion transformation according to the acquired indoor and outdoor axle load conversion coefficients, so as to obtain the asphalt pavement anti-skid prediction calculation formula.

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