Term Screening-Based Response Surface Method and Its Application on Reliability Prediction

DOI

10.2991/978-94-6463-728-1_15How to use a DOI?

Keywords

Response surface method; Term screening; Sensitivity; Reliability; Dimensionality reduction

Abstract

Response surface methods are widely used in reliability predictions due to their accuracy and simplicity. However, commonly used response surface methods have the following problems: 1) The fitting result is greatly affected by the number of terms in the final expression; 2) the existence of insensitive input variables makes the corresponding computational cost expensive; 3) response surface methods including all the cross-terms are usually too complicated for practical engineering, while response surface methods with no cross-terms can be inaccurate. To this end, this paper proposes a screening-based response surface method that improves accuracy and simplicity by eliminating insensitive variables and unnecessary terms according to the corresponding sensitivity analysis. Besides, to demonstrate its validity and superiority, the proposed method is compared to the mainstream response surface method using numerical example. Finally, the application of the proposed method to the reliability assessment of an arch bridge will demonstrate its practicality.

Copyright

© 2025 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  - Qikun Dai
AU  - Xuyong Chen
AU  - Zhifeng Xu
PY  - 2025
DA  - 2025/05/19
TI  - Term Screening-Based Response Surface Method and Its Application on Reliability Prediction
BT  - Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024)
PB  - Atlantis Press
SP  - 126
EP  - 134
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-728-1_15
DO  - 10.2991/978-94-6463-728-1_15
ID  - Dai2025
ER  -