Research on Deformation Forecasting of Deep Foundation Pit Supporting Structure Based on BP Neural Networks

Abstract:

Excavation engineering is affected by many kinds of factors. It is becoming the key and difficult point in geotechnical engineering. This paper analyzes and predicts the deformation of supporting structure in urban deep excavation with artificial neural network theory, establishing network predictive model to predict the maximum deformation of supporting structure. The result shows that the network system has high precision, and it can be applied to practice.

• Periodical: Advanced Materials Research (Volumes 250-253)
• Pages: 2116-2119
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.250-253.2116
• Online since: May 2011
• Authors: Yi Xue, Lei Xu, Zheng Zheng Cao
• Keywords: BP Neural Network (BPNN), Deep Excavation, Deformation Forecasting, Supporting Structure

References

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