Applied Technology in Optimization Design of Pile-Anchor Support for Foundation Pit Based on BP Neural Network

Dong Wei Cao; Lu De Zou

doi:10.4028/www.scientific.net/AMR.910.419

Paper Titles

Reformulating Input Data for Linear Regression of Demographic Data
p.401

Comparative Study of Ink-Jet Color Proofing Systems Based on Color Management
p.405

Defense the Green Position of Graphic Communications Industry and Find Ways to Make it Greener
p.410

Data Processing in Dynamic Traffic Capacity of Urban Road Based on Squatted Lane
p.415

Applied Technology in Optimization Design of Pile-Anchor Support for Foundation Pit Based on BP Neural Network
p.419

Applied-Information Technology in the Government Regional Information Sharing Operating Mechanism Based on Cloud Computation
p.425

Applied-Information Technology with Using Bayesian Belief Network for Strategy Selection of Developing Mountainous Areas
p.429

Applied Technology in Control System Design of Asphalt Concrete Mixer's Based on PLC
p.433

Research on Electronic Materials with Material Properties for Multimedia Production of Transportation Service Based on MMB
p.437

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 910Applied Technology in Optimization Design of...

Applied Technology in Optimization Design of Pile-Anchor Support for Foundation Pit Based on BP Neural Network

Abstract:

A new optimization method of pile-anchor support for foundation pit based on BP neural network was been proposed and applied in engineering example. Uniform test can be used to construct study samples efficiently. BP neural network is taken advantage to build a prediction model and predicting results of large number of random samples. Then, according to the constraint condition of optimization criterions, the best optimization result screened out from results. Through an engineering optimization example, it is showed that this method is efficient and with good economic and practical value.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 910)

Pages:

419-424

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.910.419

Citation:

Cite this paper

Online since:

March 2014

Authors:

Dong Wei Cao*, Lu De Zou

Keywords:

BP Neural Network (BPNN), Foundation Pit, Optimization Design, Pile-Anchor Support, Uniform Test

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Xiao Zhuanwen, Gong Xiaonan, Tan Changming. Genetic algorithm for optimal design of soil nailing for deep excavations[J]. China Civil Engineering Journal, 1999, 32(3): 73-80.

Google Scholar

[2] Wu Heng, Zhou Dong, Li Taoshen. Co-evolution optimization of anchored piles in row for deep foundation pit[J]. Chinese Journal of Geotechnical Engineering, 2002, 24(4): 465-470.

Google Scholar

[3] Zhang Qinggui. Introduction to artificial neutral networks[M], (2004).

Google Scholar

[4] Min Hongguang, Song Zhigang, Zhang Xuesong. The application of uniform design and non-parametric regression in the experiment of concrete corrosion by sulfuric acid[J]. Henan Science, 2010, 28(4): 452-455.

Google Scholar

[5] Liu Guobin, Wang Weidong. Excavation Engineering Manual (Second Edition)[M]. Beijing: China Building Industry Press, (2009).

Google Scholar

[6] People's Republic of China Ministry of Housing and Urban, JGJ120-2012. Technical specification for retaining and protecting foundation excavation[S]. Beijing: China Building Industry Press, (2012).

Google Scholar