| 杨骏堂,刘元雪,何少其.剪缩型土的剪胀性大数据特征与计算模型[J].水利学报,2020,51(2):180-192 |
| 剪缩型土的剪胀性大数据特征与计算模型 |
| Big data characteristic of dilatancy and calculation model of the negative dilatancy soil |
| 投稿时间：2019-04-18 |
| DOI：10.13243/j.cnki.slxb.20190273 |
| 中文关键词: 剪缩型土 剪胀性 剪胀率 深度挖掘 本构模型 LM算法 |
| 英文关键词: negative dilatancy soil dilatancy dilatancy rate deep mining constitutive model LM algorithm |
| 基金项目:国家自然科学基金项目（41877219）；重庆市自然科学基金项目（cstc2019jcyj-msxm0585）；重庆市规划和自然资源局科技计划项目（KJ-2018016） |
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| 中文摘要: |
| 剪胀性是岩土材料区别于其他材料的重要特征，其基本力学特性目前尚未研究透彻，由此导致相关本构模型无法充分反映岩土材料的变形机制。本文提出了一种并行化的LM优化回归算法，该算法解决了剪缩型土的大规模剪胀性数据回归分析时的全局优化性差、收敛性慢、计算效率低的问题。利用该算法建立了剪胀率与其各影响因素之间的相关性函数。根据剪缩型土的剪胀性大数据特征和基本力学特性，考虑了剪胀率主要影响因素和附加影响因素的综合作用，构造了可以反映剪缩型土剪胀性共同规律的计算模型。该模型和剪缩型土所有实验数据的剪胀率拟合度高达0.938，明显优于剑桥模型和修正剑桥模型下的剪胀模型，而且本模型能够较好地反映不同剪缩型应力路径下剪缩型土的剪胀性。 |
| 英文摘要: |
| The dilatancy is an important characteristic of geotechnical materials,which is different from other materials. Its basic mechanical properties have not been studied thoroughly, so the relevant constitutive model can't fully reflect the deformation mechanism of geotechnical materials. A parallel LM optimal regression algorithm was proposed in this paper. The algorithm solved the problems of poor global optimization, slow convergence and unstable calculation in regression analysis of large-scale data of dilatancy of negative dilatancy soils. The correlation functions between the dilatancy rate and its influencing factors were obtained by using this algorithm. According to the big data characteristics of dilatancy and basic mechanical properties of negative dilatancy soil, the comprehensive effects of the main and additional factors of dilatancy rate were considered,a calculation model which can reflect the common law of dilatancy of negative dilatancy soil was constructed. The fitting degree of the model and all test data of negative dilatancy soil is as high as 0.938, which is obviously better than Cambridge model and modified Cambridge model, and this model can better reflect the dilatancy of negative dilatancy soil under different stress paths. |
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