Limin Zhang

Dr. Limin Zhang

orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 May 2011 in Landslides
Verified
Journal Article
Closed access
PDF file
MPM. Peng
M. Peng
LZLimin Zhang
Limin Zhang

29 April 2010 in Natural Hazards and Earth System Sciences
Verified
Journal Article
Open access
PDF file
DCD. S. Chang
D. S. Chang
LZLimin Zhang
Limin Zhang
A landslide dam typically comprises freshly deposited heterogeneous, unconsolidated or poorly consolidated earth materials and is vulnerable to overtopping breaching. A physically-based breach model is presented to simulate the breaching process of such landslide dams. The new model can predict the breach evolution, the erosion rate, and the outflow hydrograph. A spreadsheet is developed to numerically implement the model. The erosion processes of Tangjiashan Landslide Dam and Xiaogangjian Landslide Dam induced by the 2008 Wenchuan earthquake are analyzed using the new model. The erodibility of the two landslide dams varies significantly along depth. The predicted key breaching parameters (i.e., final breach size, failure time, and peak outflow rate) considering the variations in the soil erodibility along depth agree well with the observed values. Further sensitivity analysis indicates that the soil erodibility affects the breaching process of a landslide dam significantly. Higher soil erodibility will lead to a larger breach, a shorter failure time and a larger peak outflow rate. The erosion rate of the breach channel in the depth direction decreases with increasing erosion resistance of the landslide deposits. In the two case studies, the key breaching parameters cannot be properly predicted if constant soil erodibility parameters along depth are assumed.

1 April 2020 in Journal of Hydrology
Verified
Journal Article
Closed access
CCChen Chen
Chen Chen
LZLimin Zhang
Limin Zhang
TXTe Xiao
Te Xiao
JHJian He
Jian He

1 August 2019 in Landslides
Verified
Journal Article
Closed access
PDF file
LZLimin Zhang
Limin Zhang
TXTe Xiao
Te Xiao
JHJian He
Jian He
CCChen Chen
Chen Chen

1 July 2009 in Journal of Geotechnical and Geoenvironmental Engineering
Verified
Journal Article
Closed access
JZJ. Zhang
J. Zhang
LZLimin Zhang
Limin Zhang
WTWilson H. Tang
Wilson H. Tang
As any model is only an abstraction of the real world, model uncertainty always exists. The magnitude of model uncertainty is important for geotechnical decision making. If model uncertainty is not considered, the geotechnical predictions and hence the decisions based on the geotechnical predictions might be biased. In this study, a framework for characterizing geotechnical model uncertainty using observation data is proposed. The framework is based on the concept of multivariable Bayesian updating, in which the statistics of model uncertainty are updated using observed performance data. Uncertainties in both input parameters and observed data can be considered in the proposed framework. To bypass complex computational works involved in the proposed framework, a practical approximate solution is presented. The proposed framework is illustrated by characterizing the model uncertainty of four limit equilibrium methods for slope stability analysis using quality centrifuge test data. Parametric study in the i...

2 March 2011 in Landslides
Verified
Journal Article
Closed access
PDF file
DCD. S. Chang
D. S. Chang
LZLimin Zhang
Limin Zhang
YXY. Xu
Y. Xu
RHR. Q. Huang
R. Q. Huang