Grey correlation method-based bituminous pavement anti-sliding influence factor assessment method
A technology of asphalt pavement and influencing factors, which is applied in the field of evaluation of factors affecting the anti-slippage of asphalt pavement based on the gray correlation method, can solve the problems of complex factors of the anti-skid performance of asphalt pavement surface, further improvement of rational understanding, and single theoretical analysis, etc. Achieve the effect of less conditional restrictions, easy operation and less influencing factors
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Embodiment 1
[0041] This example focuses on the impact of mineral aggregate grading with different nominal maximum particle size and 4.75mm sieve opening rate on the anti-skid performance of asphalt pavement. This example performs gray correlation analysis based on relevant data to obtain the original data shown in Table 1.
[0042] Table 1
[0043]
[0044]
[0045] The dimensionless initial data are shown in Table 2:
[0046] Table 2
[0047]
[0048] The difference sequence is shown in Table 3.
[0049] table 3
[0050]
[0051]
[0052] The correlation degree of the influence of different physical properties of asphalt mixture on the skid resistance of asphalt pavement surface layer is calculated, and the calculation results are shown in Table 4.
[0053] Table 4
[0054] Influencing factors
[0055] It is calculated that: when the friction coefficient is used as the evaluation index of the anti-skid ability of the asphalt pavement surface, the impact of th...
Embodiment 2
[0057] This example aims at the impact of different nominal maximum particle sizes, asphalt-stone ratios and void ratios on the anti-skid performance of asphalt pavement. This example performs gray correlation analysis based on relevant data and calculates the original data. The calculation results are shown in Table 5. :
[0058] table 5
[0059]
[0060]
[0061] The dimensionless initial data are shown in Table 6.
[0062] Table 6
[0063]
[0064] The difference sequence is shown in Table 7.
[0065] Table 7
[0066]
[0067]
[0068]The correlation degree of the influence of different physical properties of asphalt mixture on the skid resistance of asphalt pavement surface layer is calculated, and the calculation results are shown in Table 8.
[0069] Table 8
[0070] Influencing factors
[0071] After calculation, when the friction coefficient is used as the evaluation index of the anti-skid ability of the asphalt pavement surface layer, the...
Embodiment 3
[0073] This example focuses on the influence of different asphalt ratios, void ratios, and 4.75mm sieve hole penetration rates on the anti-skid performance of asphalt pavement. This example performs gray correlation analysis based on relevant data. The original data are shown in Table 9:
[0074] Table 9
[0075]
[0076]
[0077] Calculate the dimensionless initial data, and the calculation results are shown in Table 10.
[0078] Table 10
[0079]
[0080] Calculate the difference sequence, and the calculation results are shown in Table 11.
[0081] Table 11
[0082]
[0083] The correlation degree of the influence of different physical properties of asphalt mixture on the skid resistance of asphalt pavement surface layer is calculated, and the calculation results are shown in Table 12.
[0084] Table 12
[0085] Influencing factors
[0086] After calculation, when the friction coefficient is used as the evaluation index of the anti-skid ability of t...
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