Mixture internal damage evaluation method based on intelligent aggregate multi-source sensing information

Abstract

The invention discloses a mixture internal damage evaluation method based on intelligent aggregate multi-source sensing information, which comprises the following steps: establishing a mixture particle damage calculation model, and calculating to obtain fluctuation values of contact force and rotation angle of an intelligent aggregate sensor; building a mixture particle interlocking strength model, and calculating to obtain a relative mean value of the contact force and the rotation angle of the intelligent aggregate sensor; and establishing a mixture particle damage-interlocking strength coupling model, and calculating to obtain a damage index in the mixture. According to the method, the influence of the numerical values of the contact force and the corner sensed by the intelligent aggregate and the volatility of the numerical values on the evaluation result is comprehensively considered, and meanwhile, a coupling calculation method based on two different types of data of the contact force and the corner of the intelligent aggregate is established. According to the method, the internal damage state of the mixture can be accurately evaluated according to the sensing result of the intelligent aggregate.

Description

Technical Field

[0001] The present invention belongs to the field of road structure health monitoring, and particularly relates to a method for evaluating internal damage of a mixture based on multi-source perception information of intelligent aggregates. Background Art

[0002] An intelligent aggregate is a sensor used for in-situ health monitoring of a road surface. It can sense information such as contact force and rotation angle inside the mixture, thereby providing comprehensive in-situ information for evaluating the road health condition and internal damage. However, the following problems mainly exist in its application process:

[0003] Firstly, the road mixture has significant heterogeneity, which significantly interferes with the accuracy of the contact force and rotation angle sensed by the intelligent aggregate, resulting in the inability to accurately evaluate the internal damage of the mixture through the direct monitoring results of the intelligent aggregate.

[0004] Secondly, the current evaluation method only evaluates the damage of the mixture through the monitoring information of a single type of intelligent aggregate, and fails to comprehensively and effectively utilize the multi-source perception information of the intelligent aggregate, resulting in inaccurate evaluation results. Summary of the Invention

[0005] In view of the foregoing technical problems, the present invention discloses a method for evaluating internal damage of a mixture based on multi-source perception information of intelligent aggregates, which not only considers the magnitude of the contact force and rotation angle sensed by the intelligent aggregate, but also considers the fluctuation characteristics of the contact force and rotation angle. At the same time, this method effectively integrates the two different types of data of the contact force and rotation angle monitored by the intelligent aggregate, making the analysis results more comprehensively and accurately used to evaluate the internal damage condition of the mixture.

[0006] Technical Solution:

[0007] Step 1: Establish a calculation model for the damage of mixture particles, and calculate the fluctuation values of the contact force and rotation angle of the intelligent aggregate sensor.

[0008] Step 2: Establish a model for the interlocking strength of mixture particles, and calculate the relative mean values of the contact force and rotation angle of the intelligent aggregate sensor.

[0009] Step 3: Establish a coupling model for the damage - interlocking strength of mixture particles, and calculate the damage index inside the mixture, so as to evaluate the degree of internal damage of the mixture.

[0010] Step 1 further includes:

[0011] Analyze the damage state of the contact between the intelligent aggregate and the surrounding mixture particles, construct a calculation model for the fluctuation effect, and calculate the fluctuation values of the contact force and rotation angle sensed by the intelligent aggregate.

[0012] Further, the fluctuation values of the contact force and rotation angle sensed by the intelligent aggregate are calculated using the following formula:

[0013]

[0014]

[0015] where f i is the contact force monitored by the intelligent aggregate; is the average value of the contact force monitored by the intelligent aggregate; r i is the rotation angle monitored by the intelligent aggregate; the average value of the rotation angle monitored by the intelligent aggregate; n is the number of contact forces or rotation angles monitored by the intelligent aggregate within a calculation period; F v,i is the fluctuation value of the contact force monitored by the intelligent aggregate within a calculation period; R v,i is the fluctuation value of the rotation angle monitored by the intelligent aggregate within a calculation period.

[0016] Further, in step 2, the relative average values of the contact force and rotation angle between the internal particles of the mixture are calculated using the following formula:

[0017]

[0018]

[0019] where f i is the contact force monitored by the intelligent aggregate; r i is the rotation angle monitored by the intelligent aggregate; n is the number of contact forces or rotation angles monitored by the intelligent aggregate within a calculation period; F a,i is the relative average value of the contact force monitored by the intelligent aggregate within a calculation period; R a，i is the relative average value of the rotation angle monitored by the intelligent aggregate within a calculation period.

[0020] Further, in step 3, the damage index inside the mixture is calculated using the following formula:

[0021]

[0022]

[0023]

[0024]

[0025]

[0026]

[0027]

[0028]

[0029]

[0030] In the formula, RI i is the internal damage index of the mixture calculated based on the contact force and rotation angle sensed by the intelligent aggregate; is the rotation angle evaluation value after data alignment; z is the data alignment axis; is the contact force evaluation value after data alignment; is the contact force evaluation value of the intelligent aggregate; is the rotation angle evaluation value of the intelligent aggregate; is the normalized value of the rotation angle fluctuation value of the intelligent aggregate; is the normalized value of the average rotation angle of the intelligent aggregate; is the normalized value of the rotation angle fluctuation value of the intelligent aggregate; is the normalized value of the average rotation angle of the intelligent aggregate.

[0031] Beneficial effects:

[0032] First, the internal damage evaluation method of the mixture based on multi-source perception information of intelligent aggregates of the present invention can effectively reduce the interference of the heterogeneity of the mixture particles on the perception results of the intelligent aggregates, and not only considers the numerical size of the perception results of the intelligent aggregates, but also considers the fluctuation characteristics of the monitoring results of the intelligent aggregates, thereby improving the accuracy of the evaluation results.

[0033] Second, the internal damage evaluation method of the mixture based on multi-source perception information of intelligent aggregates of the present invention realizes the multi-source coupling calculation of the contact force and relative rotation angle sensed by the intelligent aggregates, avoids the limitations of single-type data, and enables the calculation results to more accurately evaluate the damage evolution characteristics inside the mixture. Description of the drawings

[0034] Figure 1 is the flow chart of the internal damage evaluation method of the mixture based on multi-source perception information of intelligent aggregates of the present invention;

[0035] Figure 2 is the device diagram of the mixture rutting test based on intelligent aggregates of the present invention;

[0036] Figure 3 is the correlation analysis diagram of the damage index calculated based on the perception information of the middle-layer intelligent aggregates in the asphalt mixture and the rut depth of the present invention.

[0037] The reference numerals are as follows: 1. test wheel; 2. intelligent aggregate; 3. mixture rutting device. Detailed implementation manners

[0038] The following embodiments can enable those skilled in the art to understand the present invention more comprehensively, but do not limit the present invention in any way.

[0039] The present invention discloses a method for evaluating internal damage of a mixture based on multi-source perception information of intelligent aggregates. The method includes the following steps:

[0040] Step 1, establish a calculation model for the damage of mixture particles, and calculate the fluctuation values of the contact force and rotation angle of the intelligent aggregate sensor;

[0041] Step 2, establish a model for the interlocking strength of mixture particles, and calculate the relative mean values of the contact force and rotation angle of the intelligent aggregate sensor;

[0042] Step 3, establish a coupling model for the damage - interlocking strength of mixture particles, calculate the damage index inside the mixture, and thus evaluate the degree of internal damage of the mixture.

[0043] See Figure 1 , the present invention discloses a method for evaluating internal damage of a mixture based on multi-source perception information of intelligent aggregates, specifically including the following steps:

[0044] S1. Calculate the fluctuation values of the contact force and rotation angle of the intelligent aggregate sensor. Figure 2 It is a schematic diagram of the mixture rutting device of the present invention. Inside the mixture rutting device 3, there is a mixture that has been compacted and formed. The intelligent aggregate 2 is buried in the middle of the mixture. A continuous loading test is carried out through the test wheel 1 directly above the intelligent aggregate, and the fluctuation values of the contact force and rotation angle of the intelligent aggregate 2 are calculated using the following formula:

[0045]

[0046]

[0047] In the formula, f i is the contact force monitored by the intelligent aggregate; is the mean value of the contact force monitored by the intelligent aggregate; r i is the rotation angle monitored by the intelligent aggregate; is the mean value of the rotation angle monitored by the intelligent aggregate; n is the number of contact forces or rotation angles monitored by the intelligent aggregate within a calculation period; F v,i is the fluctuation value of the contact force monitored by the intelligent aggregate within a calculation period; R v,i is the fluctuation value of the rotation angle monitored by the intelligent aggregate within a calculation period.

[0048] S2. Use the following formula to calculate the relative mean values of the contact force and rotation angle of the intelligent aggregate sensor under the continuous load of the test wheel 1.

[0049]

[0050]

[0051] where f i is the contact force for intelligent aggregate monitoring; r i is the rotation angle for intelligent aggregate monitoring; n is the number of contact forces or rotation angles for intelligent aggregate monitoring within a calculation period; F a,i is the relative mean value of the contact force for intelligent aggregate monitoring within a calculation period; R a，i is the relative mean value of the rotation angle for intelligent aggregate monitoring within a calculation period.

[0052] S3. Evaluate the damage condition inside the mixture. Calculate the damage index of the mixture from the contact force and rotation angle of the intelligent aggregate, and obtain the variation law of the damage index with the load, as Figure 3 shown, and thus evaluate the internal damage degree of the mixture based on this. The damage index inside the mixture is calculated using the following formula:

[0053]

[0054]

[0055]

[0056]

[0057]

[0058]

[0059]

[0060]

[0061]

[0062] where RI i is the internal damage index of the mixture calculated from the contact force and rotation angle sensed by the intelligent aggregate; is the evaluation value of the rotation angle after data alignment; z is the data alignment axis; is the evaluation value of the contact force after data alignment; is the evaluation value of the contact force of the intelligent aggregate; is the evaluation value of the rotation angle of the intelligent aggregate; is the normalized value of the rotation angle fluctuation value of the intelligent aggregate; is the normalized value of the rotation angle mean value of the intelligent aggregate; is the normalized value of the corner fluctuation value of the intelligent aggregate; is the normalized value of the average corner value of the intelligent aggregate.

[0063] The above are only the preferred embodiments of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions falling within the idea of the present invention belong to the protection scope of the present invention. It should be noted that for those of ordinary skill in the art, several improvements and refinements made without departing from the principle of the present invention should be regarded as within the protection scope of the present invention.

Claims

1. A mixture internal damage evaluation method based on multi-source sensing information of intelligent aggregate, characterized in that: The evaluation method comprises the following steps: Step 1, establish a mixture particle damage calculation model, and calculate the fluctuation values ​​of the contact force and rotation angle of the intelligent aggregate sensor; Step 2: Establish a mixture particle embedding strength model and calculate the relative mean of the contact force and rotation angle of the intelligent aggregate sensor; Step 3: Establish a mixture particle damage-embedded strength coupling model, calculate the damage index inside the mixture, and thus evaluate the degree of damage inside the mixture.

2. The mixture internal damage evaluation method based on intelligent aggregate multi-source sensing information according to claim 1 is characterized in that: In step 1, the following formula is used to calculate the fluctuation value of the contact force and rotation angle between particles in the mixture: In the formula, f i Contact force monitoring for smart aggregates; is the mean contact force of the smart aggregate monitoring; r i Corner monitoring for smart aggregate; The average value of the rotation angle monitored by the intelligent aggregate; n is the number of contact forces or rotation angles monitored by the intelligent aggregate in one calculation cycle; F v,i F is the fluctuation value of the contact force monitored by the intelligent aggregate within a calculation cycle; v,i It is the fluctuation value of the rotation angle monitored by the intelligent aggregate within a calculation cycle.

3. The mixture internal damage evaluation method based on intelligent aggregate multi-source sensing information according to claim 1 is characterized in that: In step 2, the relative mean values ​​of the contact force and rotation angle between particles in the mixture are calculated using the following formula: In the formula, F a,i is the relative mean value of the contact force monitored by the intelligent aggregate in a calculation cycle; R a，i It is the relative average of the rotation angle monitored by the smart aggregate within a calculation cycle.

4. The mixture internal damage evaluation method based on intelligent aggregate multi-source sensing information according to claim 1 is characterized in that: In step 3, the damage index inside the mixture is calculated using the following formula: In the formula, RI i is the mixture internal damage index calculated based on the contact force and rotation angle sensed by the smart aggregate; is the rotation angle evaluation value after data alignment; z is the data alignment axis; is the contact force evaluation value after data alignment; is the contact force evaluation value of the smart aggregate; is the rotation angle evaluation value of smart aggregate; is the normalized value of the rotation angle fluctuation of the smart aggregate; is the normalized value of the mean rotation angle of the smart aggregate; is the normalized value of the rotation angle fluctuation of the smart aggregate; is the normalized value of the mean rotation angle of the smart aggregate.

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