摘要
针对沥青混凝土配合比设计方案优选过程易受主观因素影响导致结果不确定和最优方案选择难的问题,以乔拉布拉沥青混凝土心墙工程配合比设计为例,将配合比评价指标的综合效益作为目标,提出了投影寻踪回归(PPR)建模技术与基于熵权的TOPSIS综合评价法相结合的配合比优选方法(PPR-TOPSIS分析法)。结果表明:构建的沥青混凝土评价指标PPR模型计算精度高,合格率达93.1%,平均相对误差为2.01%,可对不同因素水平组合的配合比方案的评价指标进行精确预测;利用PPR-TOPSIS分析法得到的最优配合比方案试验结果满足规范标准,相较传统的设计方法减少了人为主观因素影响并实现了全试验因素水平组合的方案寻优及定量评价,得到的配合比方案更为合理。
Aiming at the uncertainty in the results of the scheming optimization process influenced by subjective factors and the problem of optimal scheme selection during asphalt concrete mix designing,taking the mix design of the Qiaolabula asphalt concrete core wall project as an example,the projection pursuit regression(PPR)modelling technique combined with the TOPSIS comprehensive evaluation method based on entropy weights(PPR-TOPSIS analysis method)was proposed for the comprehensive benefits of the mix evaluation indexes.The results show that the established PPR model for asphalt concrete evaluation indexes is highly accurate in calculation,with a pass rate of 93.1%and an average relative error of 2.01%,which can accurately predict the evaluation indexes of the mix ratio schemes with different combinations of factor levels.The test results of the best mix ratio scheme analyzed by the PPR-TOPSIS comprehensive evaluation method can satisfy the specification criteria.Compared with the traditional design method,the influence of human subjective factors can be reduced and the solution search and quantitative evaluation of the combination of all test factors can be realized by the proposed method,and the obtained ratio solution is more reasonable.
作者
杨志豪
何建新
李志华
杨武
卢建南
YANG Zhihao;HE Jianxin;LI Zhihua;YANG Wu;LU Jiannan(College of Hydraulic and Civil Engineering,Xinjiang Agricultural University,Urumqi 830052,China;Xinjiang Key Laboratory of Hydraulic Engineering Security and Water Disasters Prevention,Urumqi 830052,China;Xinjiang Lyuxiang Construction Engineering Group Co.,Ltd.,Emin 834601,China)
出处
《水利水电科技进展》
CSCD
北大核心
2023年第2期82-88,共7页
Advances in Science and Technology of Water Resources
基金
新疆维吾尔自治区自然科学基金(2021D01A100)
新疆水利工程安全与水灾害防治重点实验室研究项目(ZDSYS-YJS-2021-03)。
