Uncertainty quantification for granular materials with a stochastic discrete element method-Reference-Cited by-同舟云学术

Uncertainty quantification for granular materials with a stochastic discrete element method

Published:2023-09 Issue: Volume:161 Page:105560
ISSN:0266-352X
Container-title:Computers and Geotechnics
language:en
Short-container-title:Computers and Geotechnics

Author:

Liu De-Yun^ORCID,Lyu Meng-Ze^ORCID

Funder

Tongji University

Hong Kong Polytechnic University

Publisher

Elsevier BV

Subject

Computer Science Applications,Geotechnical Engineering and Engineering Geology

Reference82 articles.

1. Probability Concepts in Engineering Planning and Design;Ang,2006

2. Reliability and Statistics in Geotechnical Engineering;Baecher,2005

3. Stress and strain in granular assemblies;Bagi;Mech. Mater.,1996

4. Barreto, D., 2008. Numerical and Experimental Investigation into the Behaviour of Granular Materials under Generalised Stress States. Ph.D. Thesis, Imperial College London.

5. Environmental impact and mechanisms of the biological clogging of saturated soils and aquifer materials;Baveye;Crit. Rev. Environ. Sci. Technol.,1998

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