Ping Li

Dr. Ping Li

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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30 July 2020 in Journal of Mountain Science
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HLHua Li
Hua Li
TLTonglu Li
Tonglu Li
PLPing Li
Ping Li
YZYaguo Zhang
Yaguo Zhang

8 January 2020 in Advances in Materials Science and Engineering
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Journal Article
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XXXiao Xie
Xiao Xie
PLPing Li
Ping Li
XHXiaokun Hou
Xiaokun Hou
TLTonglu Li
Tonglu Li
GZGuowei Zhang
Guowei Zhang
Soil‐water characteristic curve (SWCC) is a key constitutive relationship for studying unsaturated soil, and as is known, microstructure of the soil has great influence on the mechanical behaviour of the soil. In this study, the wetting and drying soil‐water characteristic curves (SWCCs) of loess compacted at three different water contents were measured using the filter paper method. And microproperties of compacted loess were obtained by the mercury intrusion method (MIP) and scanning electron microscope (SEM). Results show that the compaction water contents have significant influence on the SWCC and microstructure. The pore size distribution (PSD) curves have great differences in macropore range and are similar in micropore range. Loess compacted at optimum and dry of optimum are generally connected, while there are certain number of nonintruded pores in loess compacted at wet of optimum. The SWCC curves vary significantly in low suction (ua − uw < 1000 kPa) and tend to converge together in high suction (ua − uw ≥ 1000 kPa). Hysteresis in the SWCCs is more obvious for loess compacted at optimum and dry of optimum in the matric suction of 0∼100 kPa; however, there is a pronounced hysteresis for loess compacted at wet of optimum in full matric suction range. The characteristic of the SWCCs including their hysteresis can be well interpreted from the loess microstructure.

17 May 2021 in Bulletin of Engineering Geology and the Environment
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Journal Article
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XHXiaokun Hou
Xiaokun Hou
TLTonglu Li
Tonglu Li
SQShengwen Qi
Shengwen Qi
SGSongfeng Guo
Songfeng Guo
PLPing Li
Ping Li
XXXianli Xing
Xianli Xing

17 September 2015 in Geoenvironmental Disasters
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Journal Article
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PLPing Li
Ping Li
XZXingting Zhang
Xingting Zhang
HSHao Shi
Hao Shi
The Yanlian landslide, occurring on 21-22 October 2010, destroyed many facilities of a big oil refinery in Shaan’xi Province, China. It led to a suspending of the refinery work for a week and caused near 700 million RMB economic losses. Site exploration shows that the sliding mass is unsaturated-saturated loess. The groundwater is rich in the landslide and shortage in the surrounding slopes. Further investigation finds that the water drop released from the vapor heating furnaces on the top of the slope is the only source of the groundwater. Laboratory tests were performed to get the unsaturated strength parameters and hydraulic conductivity of the loess layers which were applied to a pre-failure slope model to simulate the water infiltration process and the stress field based on which the factor of safety is figured out to analyze the slope stability. Analysis shows that during the first ten years, the factor of safety has no prominent decrease. In the following 5 years, the slope stability decreases significantly till failure. A little water infiltration has minor effects on slope stability for some time. As a result it is easy to be ignored. However, when the period of water infiltration is long enough to raise the groundwater level, it will have detrimental influence on the stability. In conclusion, any minor water produced by engineering or other activities for a long period may have harmful effect on slope stability. Therefore it is essential to take account of this kind of water and adopt measures to curb the surface water infiltration and to drain the groundwater.

29 December 2020 in Journal of Mountain Science
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Journal Article
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XLXioayan Lin
Xioayan Lin
LZLin-Fan Zhang
Lin-Fan Zhang
ZYZe Yang
Ze Yang
PLPing Li
Ping Li
TLTonglu Li
Tonglu Li

15 February 2021 in Journal of Mountain Science
Verified
Journal Article
Closed access
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Wei ShenWei Shen
Wei Shen
TLTonglu Li
Tonglu Li
Matteo BertiMatteo Berti
Matteo Berti
PLPing Li
Ping Li
YLYu-Lu Lei
Yu-Lu Lei
YSYue-Qiang Shen
Yue-Qiang Shen