International Conference on Construction and Real Estate Management 2020
Research on Disaster Risk Assessment of Deep Foundation Pit Engineering Based on Grey Clustering
Publication: ICCREM 2020: Intelligent Construction and Sustainable Buildings
ABSTRACT
In order to objectively evaluate the safety status of deep foundation pit engineering in disaster environment, a disaster risk assessment model for deep foundation pit engineering based on disaster theory combined with grey clustering is established. Based on hazard factor, bearing body, the disaster-resisting capability, and the characteristics of deep foundation pit engineering, deep foundation pit engineering disaster risk assessment index system was established. On this basis, AHP method and entropy weight method were used to determine the combined weights of evaluation indicators. After using gray clustering to establish a deep foundation pit disaster risk assessment model, and use this model for case analysis, the results are consistent with the actual situation.
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Information & Authors
Information
Published In
ICCREM 2020: Intelligent Construction and Sustainable Buildings
Pages: 148 - 154
Editors: Yaowu Wang, Ph.D., Harbin Institute of Technology, Thomas Olofsson, Ph.D., Luleå University of Technology, and Geoffrey Q. P. Shen, Ph.D., Hong Kong Polytechnic University
ISBN (Online): 978-0-7844-8323-7
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Oct 14, 2020
Published in print: Oct 14, 2020
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