Analysis for influencing factors of slope stability and multivariate polynomial regression

DOI

10.2991/978-94-6463-435-8_41How to use a DOI?

Keywords

strength reduction method; finite element; factor of safety; multivariate polynomial fitting; comparative analysis

Abstract

The stability of slope may be affected by many factors. The influence quantity and influence law of each factor are not clear. Unified and comprehensive multi-factor regression formula does not come out so far. So the strength reduction method is used to obtain 33 sets of effective sample parameter results by finite element analysis to solve these problems. The multivariate linear and multivariate polynomial fitting formulas of various influencing factors are constructed, and the fitting accuracy is compared. A set of parameters outside the sample space are selected for finite element calculation to verify the accuracy and applicability of the fitting formula. The results show that the multivariate linear and multivariate polynomial fitting formulas are reliable, and the goodness of fit coefficients are 0.922 and 0.9908 respectively. Compared with the multiple linear fitting process, the root mean square error, mean absolute deviation and mean absolute percentage error of the latter are greatly reduced. In the finite element calculation verification results, the errors of the two are within 3%, which meets the engineering needs, but the multivariate polynomial fitting formula calculation is more consistent with the finite element calculation results.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Mingjie Chen
AU  - Pingjie Li
PY  - 2024
DA  - 2024/06/13
TI  - Analysis for influencing factors of slope stability and multivariate polynomial regression
BT  - Proceedings of the 2024 5th International Conference on Civil, Architecture and Disaster Prevention and Control (CADPC 2024)
PB  - Atlantis Press
SP  - 384
EP  - 393
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-435-8_41
DO  - 10.2991/978-94-6463-435-8_41
ID  - Chen2024
ER  -