Zhenyu Wang
Chongqing University
12 Papers
3 Citations
Zhenyu Wang is an academic researcher from Chongqing University. The author has contributed to research in topics: Slope stability & Geology. The author has an hindex of 4, co-authored 9 publications.
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Papers
Probabilistic assessment of slope failure considering anisotropic spatial variability of soil properties
TL;DR: In this paper , a parametric analysis is carried out to investigate the influence of general anisotropic spatial variability of soil properties on slope failure probability and failure characteristics, and the results show that the directional angles of scales of fluctuation significantly affect the slope failure performance.
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Probabilistic characterization of the soil-water retention curve and hydraulic conductivity and its application to slope reliability analysis
TL;DR: In this paper, a Bayesian approach is proposed to characterize the SWRC and hydraulic conductivity in unsaturated seepage analysis, and the proposed approach is illustrated through a slope example.
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A Random Angular Bend Algorithm for Two- Dimensional Discrete Modeling of Granular Materials.
TL;DR: A random angular bend (RAB) algorithm is proposed and coded in Python to simulate the geometric model of individual particle with irregular shape and an overlap detection algorithm is developed to address the difficulties associated with spatial allocation of irregularly shaped particles.
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A novel random angular bend (RAB) algorithm and DEM modeling of thermal cracking responses of sandstone
TL;DR: In this paper , a random angular bend (RAB) algorithm and overlap detection algorithm are used to simulate sandstone with irregularly shaped mineral particles and the development of crack was obtained and used to evaluate the damage characteristic of sandstone during heating process.
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Generation of 3D geotechnical particles using random angular bend algorithm
TL;DR: Based on the theory of random angular bend (RAB) algorithm, this article presented a method to generate the 3D random particle model via the superposition of two-dimensional (2D) particle profiles, and this proposed method was coded in Python.
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