Sensitivity Analysis of Factors Influencing the Anchorage Force of Soil Anchor Rods Based on the Orthogonal Experiment – ANN

DOI

10.2991/aiie-15.2015.54How to use a DOI?

Keywords

soil anchor rod; anchorage force; orthogonal test; artificial neural network (ANN); sensitivity analysis

Abstract

Based on the BP algorithm of artificial neural network (ANN), an intelligent model which is used to predict the anchorage force of soil anchor rods is established in this article, under the comprehensive consideration of the anchor rod diameter, strength of the grouting body, length of anchoring segment, bore diameter, inclination angle of the anchor rod, and other factors. Combining with the in-situ test data of the anchor rod reinforcement engineering, the network is trained and the errors are analyzed. Thus it verifies the applicability and feasibility of the method. Extended calculations are conducted by using the well-trained intelligent forecast model. Through application of orthogonal table test theory, 25 groups of tests are designed to analyze the sensitivity of influencing factors on the anchorage force of anchor rods in the soil. The results show that: the sensitivity of influencing factors on the anchorage force of soil anchor rods, in a descending order, is the length of anchoring segment, strength of the grouting body, anchor rod diameter, bore diameter, inclination angle of anchor rod. The results can provide reference for the practical application of the same reinforcement engineering.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - B.Q. Wang
AU  - J.B. Hao
PY  - 2015/07
DA  - 2015/07
TI  - Sensitivity Analysis of Factors Influencing the Anchorage Force of Soil Anchor Rods Based on the Orthogonal Experiment – ANN
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 191
EP  - 195
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.54
DO  - 10.2991/aiie-15.2015.54
ID  - Wang2015/07
ER  -