Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Luqing Zhang is active.

Publication


Featured researches published by Luqing Zhang.


Materials | 2017

Investigation of the Quasi-Brittle Failure of Alashan Granite Viewed from Laboratory Experiments and Grain-Based Discrete Element Modeling

Jian Zhou; Luqing Zhang; Duoxing Yang; Anika Braun; Zhenhua Han

Granite is a typical crystalline material, often used as a building material, but also a candidate host rock for the repository of high-level radioactive waste. The petrographic texture—including mineral constituents, grain shape, size, and distribution—controls the fracture initiation, propagation, and coalescence within granitic rocks. In this paper, experimental laboratory tests and numerical simulations of a grain-based approach in two-dimensional Particle Flow Code (PFC2D) were conducted on the mechanical strength and failure behavior of Alashan granite, in which the grain-like structure of granitic rock was considered. The microparameters for simulating Alashan granite were calibrated based on real laboratory strength values and strain-stress curves. The unconfined uniaxial compressive test and Brazilian indirect tensile test were performed using a grain-based approach to examine and discuss the influence of mineral grain size and distribution on the strength and patterns of microcracks in granitic rocks. The results show it is possible to reproduce the uniaxial compressive strength (UCS) and uniaxial tensile strength (UTS) of Alashan granite using the grain-based approach in PFC2D, and the average mineral size has a positive relationship with the UCS and UTS. During the modeling, most of the generated microcracks were tensile cracks. Moreover, the ratio of the different types of generated microcracks is related to the average grain size. When the average grain size in numerical models is increased, the ratio of the number of intragrain tensile cracks to the number of intergrain tensile cracks increases, and the UCS of rock samples also increases with this ratio. However, the variation in grain size distribution does not have a significant influence on the likelihood of generated microcracks.


Environmental Earth Sciences | 2014

Comparison of rockfall susceptibility assessment at local and regional scale: a case study in the north of Beijing (China)

Xueliang Wang; Luqing Zhang; Jixin Ding; Qingfeng Meng; Javed Iqbal; Lihui Li; Zhifa Yang

This study shows a rockfall susceptibility assessment at local scale in north Beijing of China, including the identification of rockfall sources onsite by terrain and rock discontinuities analysis and run-out distance prediction by Rocfall™ simulation. Two types of rockfall were defined including one type on the cliffs with long inclined slopes and another type on the road slopes with low height. Two historical rockfall events were used to back-calibrating the parameters used for run-out distance simulation. Based on the work, rockfall susceptibility map at local scale was created in GIS, which was compared with the map obtained at regional scale (entire Huairou district scale). Due to the difference of approaches applied, procedure of assessment and types of source data acquired, the two resulting rockfall susceptibility maps are proved to be different. Still, both of them are useful and could be used at different level’s decision for rockfall prevention and mitigation. Different types of uncertainties exist in the study of rockfall susceptibility assessment. To reduce the uncertainties, studies on both approaches and techniques are suggested.


Landslides | 2018

Numerical SPH analysis of debris flow run-out and related river damming scenarios for a local case study in SW China

Anika Braun; Sabatino Cuomo; Stefano Petrosino; Xueliang Wang; Luqing Zhang

A smoothed particle hydrodynamics (SPH) numerical modeling method implemented for the forward simulation of propagation and deposition of flow-type landslides was combined with different empirical geomorphological index approaches for the assessment of the formation of landslide dams and their possible evolution for a local case study in southwestern China. The SPH model was calibrated with a previously occurred landslide that formed a stable dam impounding the main river, and it enabled the simulation of final landslide volumes, and the spatial distribution of the resulting landslide deposits. At four different sites on the endangered slope, landslides of three different volumes were simulated, respectively. All landslides deposited in the main river, bearing the potential for either stable impoundment of the river and upstream flooding scenarios, or sudden breach of incompletely formed or unstable landslide dams and possible outburst floods downstream. With the empirical indices, none of the cases could be identified as stable formed landslide dam when considering thresholds reported in the literature, showing up the limitations of these indices for particular case studies of small or intermediate landslide volumes and the necessity to adapt thresholds accordingly for particular regions or sites. Using the occurred benchmark landslide as a reference, two cases could be identified where a complete blockage occurs that is more stable than the reference case. The other cases where a complete blockage was simulated can be considered as potential dam-breach scenarios.


Archive | 2015

Analysis of Rockfall Individual Risk at the Feifeng Underground Caves (Zhejiang Province, China) by Using 2D and 3D Runout Models

Xueliang Wang; Luqing Zhang; Paolo Frattini; Serena Lari; Giovanni B. Crosta; Federico Agliardi

The Feifeng Mountain tourist resort is famous for the ancient caves and drifting activities along the Yongan River. Because of steep slope, lithology (tuff overlying a thick soft layer), tectonic structure, and the underground excavation in ancient times, the area is seriously affected by rockfalls. A quantitative rockfall individual risk assessment has been performed, by using either a 2D and a 3D modelling approach. The 2D approach results in an overestimation of risk along the a priori defined paths, due to the impossibility to consider lateral spread of rockfall trajectories. The 3D approach allows for simulating the lateral dispersion and the trajectories along convergent topography, locally increasing the Individual Risk level.


Landslides | 2014

Uncertainty assessment in quantitative rockfall risk assessment

Xueliang Wang; Paolo Frattini; Giovanni B. Crosta; Luqing Zhang; Federico Agliardi; Serena Lari; Zhifa Yang


Environmental Earth Sciences | 2012

Field investigation and rockfall hazard zonation at the Shijing Mountains Sutra caves cultural heritage (China)

Xueliang Wang; Luqing Zhang; Sijing Wang; Federico Agliardi; Paolo Frattini; Giovanni B. Crosta; Zhifa Yang


Energies | 2016

Numerical Modeling and Investigation of Fluid-Driven Fracture Propagation in Reservoirs Based on a Modified Fluid-Mechanically Coupled Model in Two-Dimensional Particle Flow Code

Jian Zhou; Luqing Zhang; Anika Braun; Zhenhua Han


Archive | 2011

Method for preparing stone blocking dam by using waste and old rubber

Luqing Zhang; Fengshan Ma; Siqing Qin; Jian Zhou; Xueliang Wang; Zhifa Yang; Zhongjian Zhang


Episodes | 2013

Long-Term Stability of Large Span Caverns at the 1400-Year Heidong Quarry

Zhifa Yang; Yanjun Shang; Lihui Li; Luqing Zhang; Zhongjian Zhang; Tianbin Li; Shangshu Xu


Frontiers of Architecture and Civil Engineering in China | 2010

A hypothesis for crack free interior surfaces of Longyou caverns caved in argillaceous siltstone 2000 years ago

Zhong Qi Yue; Shaopeng Fan; Zhifa Yang; Lihui Li; Luqing Zhang; Zhongjian Zhang

Collaboration


Dive into the Luqing Zhang's collaboration.

Top Co-Authors

Avatar

Zhifa Yang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Xueliang Wang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Jian Zhou

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Zhongjian Zhang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Anika Braun

RWTH Aachen University

View shared research outputs
Top Co-Authors

Avatar

Zhenhua Han

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Lihui Li

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Yanjun Shang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Federico Agliardi

University of Milano-Bicocca

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge