DU Yan, XIE Mo-wen, JIANG Yu-jing, et al. Methods for determining early warning indices
Based on natural frequency monitoring[J]. 2015, 36(8): 2284-2290.
DOI:
DU Yan, XIE Mo-wen, JIANG Yu-jing, et al. Methods for determining early warning indices
Based on natural frequency monitoring[J]. 2015, 36(8): 2284-2290.DOI: 10.16285/j.rsm.2015.08.022.
Methods for determining early warning indices
Based on natural frequency monitoring
extreme weather conditions and human activities are among the major factors triggering landslides. These strong disturbances can change the physical properties of the landslides and the mechanical properties of the weak surfaces
which are responsible for the failure of the early warning. A new method is examined for quickly evaluating the safety of the landslides after a disturbance
such as an earthquake. The natural frequency of harmful geological structures are measured using the laser measurement technology. The measured natural frequency can quantitatively reflect the parameters of the internal structure. Using the simplified model of the landslide body
the stress loss of the slope surface due to an earthquake or heavy rain can be determined. The experimental results show that the natural frequency can be used to infer the monitoring indices such as the stress loss coefficient when the landslide subjected to a large disturbance. Rapid and remote monitoring can be effectively used to quickly evaluate a landslide. The laser vibration technology will play an important role in disaster prevention and disaster mitigation in the engineering practice.
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Related Author
LIU Li-ling
YIN Kun-long
CHEN Huai-lin
YANG Tao
RAO Yun-kang
ZHANG Zhe
WU Hong-gang
XIE Jiang-wei
Related Institution
Engineering Faculty, China University of Geosciences
State Key Laboratory of Intelligent Construction and Maintenance for Geotechnical and Tunnel Engineering under Extreme Environments, Southwest Jiaotong University
China Northwest Research Institute Co., Ltd., of CREC
China Railway Academy Co., Ltd.
Shandong Engineering Research Center of Marine Exploration and Conservation, Ocean University of China