{"title":"Enhanced plasticity modelling of high-cyclic ratcheting and pore pressure accumulation in sands","authors":"H. Liu, F. Zygounas, A. Diambra, F. Pisanò","doi":"10.1201/9780429446931-11","DOIUrl":null,"url":null,"abstract":"Predicting accurately the response of sands to cyclic loads is as relevant as still challenging when many loading cycles are involved, for instance, in relation to offshore or railway geo-engineering applications. Despite the remarkable achievements in the field of soil constitutive modelling, most existing models do not yet capture satisfactorily strain accumulation under high-cyclic drained loading, nor the the build-up of pore pressures under high-cyclic undrained conditions. Recently, bounding surface plasticity enhanced with the concept of memory surface has proven promising to improve sand ratcheting simulations under drained loading conditions (Corti et al. 2016). This paper presents a new model built by combining the memory surface conceptby Corti et al. (2016) with the well-known SANISAND04 bounding surface formulation proposed by Dafalias and Manzari (2004). The outcome is a new sand model that can reproduce phenomenologically the fabric evolution mechanisms governing strain accumulation under long-lasting loading histories (here up to 104 loading cycles). In undrained test simulations, the model proves capable of correctly capturing the rate of pore pressure accumulation, preventing precocious occurrence of cyclic liquefaction.","PeriodicalId":107346,"journal":{"name":"Numerical Methods in Geotechnical Engineering IX","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Numerical Methods in Geotechnical Engineering IX","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9780429446931-11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
Predicting accurately the response of sands to cyclic loads is as relevant as still challenging when many loading cycles are involved, for instance, in relation to offshore or railway geo-engineering applications. Despite the remarkable achievements in the field of soil constitutive modelling, most existing models do not yet capture satisfactorily strain accumulation under high-cyclic drained loading, nor the the build-up of pore pressures under high-cyclic undrained conditions. Recently, bounding surface plasticity enhanced with the concept of memory surface has proven promising to improve sand ratcheting simulations under drained loading conditions (Corti et al. 2016). This paper presents a new model built by combining the memory surface conceptby Corti et al. (2016) with the well-known SANISAND04 bounding surface formulation proposed by Dafalias and Manzari (2004). The outcome is a new sand model that can reproduce phenomenologically the fabric evolution mechanisms governing strain accumulation under long-lasting loading histories (here up to 104 loading cycles). In undrained test simulations, the model proves capable of correctly capturing the rate of pore pressure accumulation, preventing precocious occurrence of cyclic liquefaction.
当涉及许多加载周期时,例如与海上或铁路地球工程应用相关时,准确预测砂土对循环荷载的响应仍然具有挑战性。尽管在土本构建模领域取得了显著成就,但大多数现有模型尚未令人满意地捕捉高循环排水荷载下的应变积累,也没有捕捉高循环不排水条件下孔隙压力的积累。最近,记忆表面概念增强的边界面塑性已被证明有望改善排水加载条件下的砂棘轮模拟(Corti et al. 2016)。本文将Corti等人(2016)提出的记忆面概念与Dafalias和Manzari(2004)提出的SANISAND04边界面公式相结合,建立了一个新的模型。结果是一种新的砂模型,可以再现长期加载历史(这里多达104个加载周期)下控制应变积累的织物演化机制。在不排水试验模拟中,该模型能够正确地捕捉孔隙压力积累速率,防止循环液化的过早发生。