Zhong Qiming

Zhong Qiming


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

View All Publications
27 December 2017 in Landslides
Verified
Journal Article
Closed access
PDF file
ZQZhong Qiming
Zhong Qiming
SCS. S. Chen
S. S. Chen
SMS. A. Mei
S. A. Mei
WCW. Cao
W. Cao

4 April 2020 in Landslides
Verified
Journal Article
Closed access
PDF file
ZQZhong Qiming
Zhong Qiming
SCShengshui Chen
Shengshui Chen
LWLin Wang
Lin Wang
YSYibo Shan
Yibo Shan

9 July 2020 in Landslides
Verified
Journal Article
Closed access
PDF file
YSYibo Shan
Yibo Shan
SCShengshui Chen
Shengshui Chen
ZQZhong Qiming
Zhong Qiming

1 August 2016 in Natural Hazards
Verified
Journal Article
Closed access
PDF file
ZQZhong Qiming
Zhong Qiming
WWWeiming Wu
Weiming Wu
SCShengshui Chen
Shengshui Chen
MWMeng Wang
Meng Wang

1 May 2019 in Journal of Geotechnical and Geoenvironmental Engineering
Verified
Journal Article
Closed access
ZQZhong Qiming
Zhong Qiming
SCS. S. Chen
S. S. Chen
ZDZ. Deng
Z. Deng
SMS. A. Mei
S. A. Mei
Based upon large-scale model tests conducted at Nanjing Hydraulic Research Institute, China, the surface erosion and intermittent mass failure along a dam’s axis and the formation of headcut and its migration in the longitudinal section were determined as the key breaching mechanisms for a cohesive dam due to overtopping. In this work, based on the breach mechanism, a numerical model has been developed to simulate the overtopping process of cohesive dams. A comparison among the performances of three large-scale model tests shows that the proposed model exhibits the best overall performance among the three selected physically based dam breach models. The sensitivity studies show that the three models are all sensitive to soil erodibility, although overall the proposed model and Windows Dam Analysis Modules (WinDAM) B are more sensitive than the National Weather Service (NWS) BREACH model. In addition, it is demonstrated that the proposed model performs better and provides more detailed results than the three selected parametric models.