Cyclic liquefaction screening of sand with non-plastic fines:Critical state approach

作     者：Md.Mizanur Rahman TGSitharam Md. Mizanur Rahman;T.G. Sitharam

作者机构：Natural and Built Environments Research Centre(NBERC)School of Natural and Built EnvironmentsUniversity of South AustraliaMawson LakesSA 5095Australia Department of Civil EngineeringIndian Institute of Science(IISc)BangaloreIndia 

出 版 物：《Geoscience Frontiers》 (地学前缘（英文版）)

年 卷 期：2020年第11卷第2期

页      面：429-438页

核心收录：

学科分类：081401[工学-岩土工程] 08[工学] 0814[工学-土木工程] 

基　　金：financial support for Australian Academy of Science Early Career Fellowship(RI 18.6) in 2012-2013 from the Australia-India Strategic Research Fund (AISRF) to visit Department of Civil Engineering Indian Institute of Science Bangalore India to work for the background studies of this paper 

主　　题：Critical state State parameter Liquefaction Sands Fines Constitutive model 

摘      要：There have been significant advances in the application of critical state,CS,in liquefaction potential *** was done by comparing state parameter,j with estimated characteristic cyclic stress ratio,CSR due to an earthquake.A cyclic resistance ratio,CRR curve,which can be determined from cyclic liquefaction tests,separates historical liquefied and non-liquefied data points(j,CSR).On the other hand,the concepts of equivalent granular state parameter,j*,which was developed for sands with fines,can be used in lieu j to provide a unifying framework for characterizing the undrained response of sands with non/low plasticity fines,irrespective of fines content(fc).The present work combines these two propositions,and by merely substituting j*for j into the aforementioned CS approach to capture the influence of fc.A series of static and cyclic triaxial tests were conducted,separately and independently of the concept of j*,for sand with up to fc of 30%.The clean sand was collected from Sabarmati river belt at Ahmedabad city in India which was severely affected during the Bhuj earthquake,*** experimental data gave a single relation for CRR and j*which was then used to assess liquefaction potential for a SPT based case study,where fc varies along the *** prediction matched with the field observation.