基于灰色關(guān)聯(lián)分析的礦料級(jí)配骨架強(qiáng)度研究

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中圖分類(lèi)號(hào)：U414 文獻(xiàn)標(biāo)志碼：A 文章編號(hào)：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

0 引言

隨著我國(guó)高速公路建設(shè)的快速發(fā)展，現(xiàn)代化路網(wǎng)體系已基本實(shí)現(xiàn)全域覆蓋。（剩余5652字）