基于灰色关联分析的矿料级配骨架强度研究

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中图分类号：U414 文献标志码：A 文章编号：1005-8249（2025）03-0019-05

DOI：10.19860/j.cnki.issn1005-8249.2025.03.004

Abstract：Inordertoanalyzetheefectofaggregateofeachparticlesizeonthestrengthoftheskeletoandthegreycorelation of the bearingratio.The aggregate mixingratioand CBRvalueoftheoptimal skeleton weredetermined bythe stepwise fillng theoryandthebearingratiotestmethod，andthegreycorelationdegreeoftheaggregatemixingratioofeachparticlesizewas calculatedby Matlab software.The testresultsshowthattherearetwo peaks intheCBRvalue and densityof thefirst-stage filled ore framework，and the ratio of CAl ∵ CA2 at the peak point is 6：4 and 3：7 ，respectively，and the bearing capacity oftheskeleton structure is better.When the secondary filling CAl2：CA3=9：1 has the highest CBR value and the smallest density，that is，the most stable skeleton structure can be formed when the filing ratio of each aggregate is CAl：CA2：CA3= （20 54：36：10 .The corelation degreeof each particle size aggregate to the bearing ratio is the largest，followed by CA2，and CA3 is thesmallest，thatis，CAlconstitutes the bestskeletonstructureand bears the main bearing capacity，sothattheasphalt mixture can remain stable under the load.

Key words：mineral aggregate gradation；matlab；bearing ratio； gray correlation degree；skeleton strength

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随着我国高速公路建设的快速发展，现代化路网体系已基本实现全域覆盖。（剩余5652字）