Yan Zhang

Dr. Yan Zhang


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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17 June 2025 in Journal of Earth Science
Verified
Journal Article
Open access
PDF file
YZYan Zhang
Yan Zhang
KMKai Meng
Kai Meng
XFXuanmei Fan
Xuanmei Fan
GCGuoqing Chen
Guoqing Chen
XZXiangsheng Zheng
Xiangsheng Zheng
MXMin Xia
Min Xia

1 March 2025 in Engineering Fracture Mechanics
Verified
Journal Article
Closed access
LGLiangjie Gu
Liangjie Gu
GZGuo-Qiang Zhu
Guo-Qiang Zhu
SYShuo Yu
Shuo Yu
YZYangyi Zhou
Yangyi Zhou
YZYan Zhang
Yan Zhang
YHYao Hu
Yao Hu

27 December 2024 in Journal of Rock Mechanics and Geotechnical Engineering
Verified
Journal Article
Open access
GZGuo-Qiang Zhu
Guo-Qiang Zhu
YZYan Zhang
Yan Zhang
SLShaojun Li
Shaojun Li
YZYang-Yi Zhou
Yang-Yi Zhou
JZJialiang Zhou
Jialiang Zhou
MZMinglang Zou
Minglang Zou

20 January 2023 in Frontiers in Environmental Science
Verified
Journal Article
Open access
YGYaohui Gao
Yaohui Gao
YZYan Zhang
Yan Zhang
CMChunchi Ma
Chunchi Ma
XZXiangsheng Zheng
Xiangsheng Zheng
TLTianbin Li
Tianbin Li
JJJuncheng Jin
Juncheng Jin
Landslides frequently occur in several mountainous areas because of their unique engineering–geological conditions and other external factors (earthquakes, rainfall, etc.). In this paper, the landslide in Southwest China is used as the research objective to examine the landslide’s stability under different working conditions. The influencing factors and the formation mechanism of the landslide are analyzed based on the geological environment and essential characteristics of the landslide. In addition, the transfer coefficient method and the GeoStudio software were used to assess the landslide stability. The analysis results demonstrate that the joint action of landforms, geological structures, rainfall, and other factors caused the landslide. Furthermore, the slipped tension fracture induced the failure mode. The transfer coefficient method results showed that the landslide was stable under natural conditions and unstable under rainstorm conditions, which is consistent with the numerical simulation result. The shear strength sensitivity analysis results depicted an apparent linear relationship among cohesion c, internal friction angle φ, and stability coefficient. Moreover, the stability of the unstable slope is more sensitive to φ than to c.

5 May 2022 in Lithosphere
Verified
Journal Article
Open access
PDF file
MGMeiben Gao
Meiben Gao
Shenghua CuiShenghua Cui
Shenghua Cui
TLTianbin Li
Tianbin Li
CMChunchi Ma
Chunchi Ma
ZWZhongteng Wu
Zhongteng Wu
YZYuyi Zhong
Yuyi Zhong
The three-parameter Weibull distribution has a strong ability to fit many kinds of experimental data, which provides a solution for using a unified expression to characterize the elastic-brittle, strain softening, elastic-plasticity, and other constitutive behaviors of rocks. Therefore, a statistical damage constitutive model based on three-parameter Weibull distribution was constructed through theoretical analysis and derivation. Its expression ability was verified by combining with the conventional triaxial compression test data of marble. Meanwhile, the application effect of this statistical damage constitutive model on granite and sandstone was analyzed. The results show that the statistical damage constitutive model of rock based on three-parameter Weibull distribution can well express elastic-brittle, elastic-plastic, strain softening behaviors of rock by setting reasonable constitutive parameters, which lays a theoretical foundation for constructing a unified rock constitutive model. Conventional triaxial tests of marble show that with the increasing of confining pressure (⁠ σ3= 5, 15, 25, 35 MPa), the plastic deformation increases and the failure mode gradually changes from brittle tensile failure to shear failure, showing brittle-ductile and brittle-plastic transition characteristics. And its constitutive behaviors are characterized by elastic-brittleness, strain softening, and elastic-plasticity, which can be well expressed by the statistical damage constitutive model. When σ3 is 25 and 35 MPa, sandstone samples show elastic-brittle behavior. And for granite samples, they show strain softening behavior when σ3 is 5 MPa. The statistical damage constitutive model is also suitable for describing both sandstone elastic-brittle behavior and granite strain softening behavior. It is concluded that the three-parameter Weibull distribution provides a useful approach to characterize various constitutive behaviors of rock, and the model has a wide potential in numerical simulation for mining engineering, geoengineering, and other rock engineering.