摘要
借鉴灰色系统理论,将砂土液化与其影响因素之间的关系作为灰色系统,提出采用灰类白化权函数聚类的预测方法对砂土液化势进行预测。分析影响砂土液化的因素,选取震级M、地面加速度最大值gmax、标准贯入击数N63.5、比贯入阻力ps、相对密实度Dr、平均粒径D50和地下水位dw这7个实测指标作为砂土液化势预测的主要影响因子,并构造适于砂土液化势预测的各聚类指标的白化权函数,同时引入信息熵理论确定各指标的权重,采用本文提出的方法对16组唐山大地震震害资料对模型进行评价,利用广东省三水市部分地区的9组砂土液化实例进行仿真测试,并与工程实际结果进行对比。研究结果表明:所提出的基于灰类白化权函数聚类的砂土液化势预测方法具有较高的预测精度,准确率达90%。
Based on gray system theory, and taking the relationship between the lique faction and its influence factors as gray system, a method to predict liquefaction potential of sand was established using grey whitenization weight function cluster theory. Seven parameters including earthquake magnitude M, peak ground surface acceleration gmax, standard penetration N63.5, specific penetration resistance Ps, relative compaction Dr, average particle diameter D50, and groundwater table dw were used as influencing factors of sand liquefaction potential measured indicators and to construct the clustering index whitening weight function to forecast the potential of liquefaction. The information entropy theory was introduced to determine the weight of each index, the proposed method was used to evaluate the model using 16 groups of Tangshan earthquake seismic damage data, and the simulation test was made for nine groups of soil liquefactionin Sanshui City, Guangdong Province, and the comparison was made. The results show that the proposed method to predict sand liquefaction potential has high prediction accuracy based on class whitening weight function clustering gray, and the accuracy rate is 90%, which can promote the actual project.
出处
《中南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2014年第1期269-275,共7页
Journal of Central South University:Science and Technology
基金
国家自然科学基金资助项目(50774092)
全国优秀博士学位论文专项资金资助项目(200449)
关键词
砂土液化
预测
灰色聚类
白化权函数
sand liquefaction
prediction
grey cluster
whitening weight function
