Application of grey theory-based model to prediction of land subsidence due to engineering environment in Shanghai |
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| Authors: | Yi-Qun Tang Zhen-Dong Cui Jian-Xiu Wang Li-Ping Yan Xue-Xin Yan |
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| Institution: | (1) Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, People’s Republic of China;(2) Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education, Tongji University, Shanghai, 200092, People’s Republic of China;(3) Arroyo Geotechnical, 1515 S. Sunkist Street, Suite E, Anaheim, CA 92806, USA;(4) Shanghai Institute of Geological Survey, Shanghai, 200072, People’s Republic of China |
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| Abstract: | Land subsidence is a common geological hazard. The long-term accumulation of land subsidence in Shanghai has caused economic
loss to the city. Since the 1990s, the engineering structures have become a new cause of land subsidence. Many factors affect
the process of land subsidence. Although such a process cannot be explicitly expressed by a mathematical formula, it is not
a “black box” whose internal structure, parameters, and characteristics are unknown. Therefore, the grey theory can be applied
to the prediction of land subsidence and provides useful information for the control of land subsidence. In this paper, a
grey model (GM) GM (1, 1) with unequal time-intervals was used to predict the subsidence of a high-rise building in the Lujiazui
area of Shanghai, and the results were compared with the monitored data. The prediction of subsidence was also corroborated
by laboratory tests and the results were compared with measured data and the predicted data by the adaptive neuro-fuzzy inference
system (ANFIS). It is found that the GM (1, 1) with unequal time-intervals is accurate and feasible for the prediction of
land subsidence. |
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| Keywords: | Grey theory model Land subsidence Unequal time-interval |
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