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Cluster Computing

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05-01-2018

Dynamic stability of composite foundation under different area replacement ratio based on intelligent sensing technology

Authors: Shufang Fan, Guihong Guo, Wenguo Ma, Xinmin Liu

Published in: Cluster Computing | Special Issue 3/2019

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Abstract

Oil storage tanks are widely used in petrochemical industry. But the improper foundation treatment is likely to cause the damage of structure and accessory components under the action of earthquake, as a result, environmental pollution and fire will be caused by chemical leakage. Therefore, it is necessary to study the dynamic stability and the security affecting factors of composite foundation. Taking foundation treatment of one oil depot belong to Petro China as the engineering background, the discrete compacted piles arranged by equilateral triangle are simplified by the equivalent continuum method. Contacts are set between pile and soil, between concrete foundation and subsoil, and between concrete foundation and tank to reflect the mechanical behavior of the system as far as possible. The composite foundation with three kinds of area replacement ratios are studied by the dynamic stability analysis. The results show that safety factors corresponding to the three area replacement ratios are all greater than the general safety factor 2 which is required in engineering; the dynamic safety factors increase with the increase of area replacement ratio. Besides, area replacement ratio has a great influence on the distribution of plastic zone. Therefore, in the actual project, taking into account the dynamic safety factor and the distribution of plastic zone, there is an optimal area replacement ratio, and it may not only meet requirements for engineering safety, but make use of materials rationally and increase economic benefits.

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Title: Dynamic stability of composite foundation under different area replacement ratio based on intelligent sensing technology
Authors: Shufang Fan
Guihong Guo
Wenguo Ma
Xinmin Liu
Publication date: 05-01-2018
Publisher: Springer US
Published in: Cluster Computing / Issue Special Issue 3/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-017-1675-9

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