基于大数据的砂土滞后性计算模型研究  

Research on the Sand Hysteresis Calculation Model Based on Big Data

作　　者：凌跃 刘元雪 赵久彬 白云山 赵智宏 王云潇 张左群 LING Yue;LIU Yuanxue;ZHAO Jiubin;BAI Yunshan;ZHAO Zhihong;WANG Yunxiao;ZHANG Zuoqun(Army Logistics Academy of PLA,Chongqing 401331)

机构地区：[1]陆军勤务学院,重庆401331

出　　处：《计算机与数字工程》2022年第6期1298-1305,共8页Computer & Digital Engineering

基　　金：国家自然科学基金委员会面上项目(编号:41877219);重庆市科学技术委员会重点项目(编号:cstc2015jcy-BX0073);重庆市国土资源和房屋管理局项目(编号:KJ-2018016);重庆市自然科学基金项目(编号:cstc2019jcyj-msxmX0585)资助。

摘　　要：滞后性作为岩土材料动应力应变行为的四个基本特性之一,岩土动力本构模型关于滞后性的研究还需进一步探讨和分析。以往滞后性研究都是从阻尼比入手,不能很好反映其基本特性,所以通过粘性系数对滞后性进行研究。通过大数据平台的分布式自适应拟合方法,针对岩土材料在动力荷载(譬如交通荷载、地震荷载、海浪荷载等)作用下,建立了粘性系数与各参数之间的大数据特征函数。根据砂土的动力特性和滞后性大数据特征,构造了可反映砂土滞后性变化规律的计算模型。经检验,该模型对粘性系数的拟合度高达0.916,可较好地模拟砂土滞后性特征,为动力本构模型的建立提供新思路。Hysteresis is one of the four basic characteristics of dynamic stress-strain behavior of rock and soil materials.The research on hysteresis of dynamic constitutive model of rock and soil needs further discussion and analysis.In the past,hysteresis is studied from the damping ratio,which can not well reflect its basic characteristics,so the hysteresis is studied by viscous coefficient.Through the distributed adaptive fitting method of the big data platform,the big data characteristic function between the viscosity coefficient and each parameter is established for geotechnical materials under dynamic loads(such as traffic loads,seismic loads,wave loads,etc).According to the dynamic characteristics of sand and the big data characteristics of hysteresis,a calculation model is constructed to reflect the variation law of sand hysteresis.It is verified that the model has a fitting degree of 0.916 to the viscosity coefficient,which can well simulate the hysteresis characteristics of sand soil,a new idea for the establishment of dynamic constitutive model is provided.

关 键 词：砂土 滞后性 粘性系数 大数据 

分 类 号：TP301[自动化与计算机技术—计算机系统结构] TU43[自动化与计算机技术—计算机科学与技术]