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Land Subsidence Induced by the Engin...
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Land Subsidence Induced by the Engineering-Environmental Effect
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Land Subsidence Induced by the Engineering-Environmental Effect/ by Zhen-Dong Cui.
Author:
Cui, Zhen-Dong.
Description:
XXII, 234 p. 164 illus., 129 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Engineering geology. -
Online resource:
https://doi.org/10.1007/978-981-10-8040-1
ISBN:
9789811080401
Land Subsidence Induced by the Engineering-Environmental Effect
Cui, Zhen-Dong.
Land Subsidence Induced by the Engineering-Environmental Effect
[electronic resource] /by Zhen-Dong Cui. - 1st ed. 2018. - XXII, 234 p. 164 illus., 129 illus. in color.online resource.
Introduction -- Theoretical Analysis of Land Subsidence Caused by Engineering-Environmental Effect -- In-Site Monitoring Land Subsidence -- Centrifuge Modeling of Land Subsidence Caused by High-Rise Building Group -- Microstructures of Different Soil Layers Before and After Centrifuge Modeling of Land Subsidence Caused by High-Rise Building Group -- Microstructures of the Soil Layer at Different Depths in the Centrifuge Modeling of Land Subsidence Caused by the Interaction of Two High-Rise Buildings -- Physical Model Test of Layered Soil Subsidence Considering Dual Effects of Building Load and Groundwater Withdrawal -- Floor Area Ratio ANFIS Model Affected by Causes of Land Subsidence -- Conclusions and Prospects.
This book brings forward the concept of the geology-environmental capacity of ground buildings. It quantifies the geology-environmental capacity of ground buildings by analyzing the main factors of land subsidence and setting up the evaluation system. The geological environmental capacity of ground buildings is mainly controlled by the land subsidence and the output is the floor area ratio. According to the different geology structures and the different requirements of subsidence control in the soft soil areas in Shanghai, the evaluation system of the floor area ratio is built up by the adaptive neuro-fuzzy inference system (ANFIS) and the floor area ratios of four typical regions (Lujiazui, Xujiahui, Zhongyuan and Changqiao) are obtained by the ANFIS to offer references for urban planning. By taking the typical soft soil areas in Shanghai as case studies, this book will provide valuable insights to professors and graduate students in the field of Geotechnical Engineering, Civil Engineering, Engineering Geology and Environmental Geology.
ISBN: 9789811080401
Standard No.: 10.1007/978-981-10-8040-1doiSubjects--Topical Terms:
558458
Engineering geology.
LC Class. No.: TA703-705.4
Dewey Class. No.: 624.15
Land Subsidence Induced by the Engineering-Environmental Effect
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Introduction -- Theoretical Analysis of Land Subsidence Caused by Engineering-Environmental Effect -- In-Site Monitoring Land Subsidence -- Centrifuge Modeling of Land Subsidence Caused by High-Rise Building Group -- Microstructures of Different Soil Layers Before and After Centrifuge Modeling of Land Subsidence Caused by High-Rise Building Group -- Microstructures of the Soil Layer at Different Depths in the Centrifuge Modeling of Land Subsidence Caused by the Interaction of Two High-Rise Buildings -- Physical Model Test of Layered Soil Subsidence Considering Dual Effects of Building Load and Groundwater Withdrawal -- Floor Area Ratio ANFIS Model Affected by Causes of Land Subsidence -- Conclusions and Prospects.
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This book brings forward the concept of the geology-environmental capacity of ground buildings. It quantifies the geology-environmental capacity of ground buildings by analyzing the main factors of land subsidence and setting up the evaluation system. The geological environmental capacity of ground buildings is mainly controlled by the land subsidence and the output is the floor area ratio. According to the different geology structures and the different requirements of subsidence control in the soft soil areas in Shanghai, the evaluation system of the floor area ratio is built up by the adaptive neuro-fuzzy inference system (ANFIS) and the floor area ratios of four typical regions (Lujiazui, Xujiahui, Zhongyuan and Changqiao) are obtained by the ANFIS to offer references for urban planning. By taking the typical soft soil areas in Shanghai as case studies, this book will provide valuable insights to professors and graduate students in the field of Geotechnical Engineering, Civil Engineering, Engineering Geology and Environmental Geology.
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