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- W2356377946 abstract "To some extent,the design and construction progress of deep foundation pit project have potential safety hazard,so that it is very significant to investigate the safety assessment of deep foundation pit. However,it is difficult to evaluate the safety grade of the structure of deep foundation pit with an accurate representation of numerical values. Lateral pressure,wall slope,wall bending-moment,axial force,column heaving-value and ground settlement were choosed as the indexes for safety evaluation of deep foundation pit. Here,a fuzzy theory and neural network technology we put together to build a fuzzy neural network for deep foundation pit safety evaluation. The results show that: the use of fuzzy neural network on the deep foundation pit is a kind of high efficient,accurate,and feasible evaluation method in the safety assessment process." @default.
- W2356377946 created "2016-06-24" @default.
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- W2356377946 date "2014-01-01" @default.
- W2356377946 modified "2023-09-24" @default.
- W2356377946 title "Research of Safety Assessment on Supporting Structure of Deep Foundation Pit Based on Fuzzy-neural Network" @default.
- W2356377946 hasPublicationYear "2014" @default.
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