Combined sensitivity analysis for multiple failure modes
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Publication Date
2022Journal Title
Computer Methods in Applied Mechanics and Engineering
ISSN
0045-7825
Publisher
Elsevier BV
Type
Article
This Version
VoR
Metadata
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Yang, J., Clot, A., & Langley, R. (2022). Combined sensitivity analysis for multiple failure modes. Computer Methods in Applied Mechanics and Engineering https://doi.org/10.1016/j.cma.2022.115030
Abstract
Sensitivity analysis identifies the influential parameters and it is a key step in the design process. Focusing on reliability based design, the probability of a failure mode and its sensitivity to input uncertainties are obtained in a single Monte Carlo simulation using the Likelihood Ratio method. For correlated multiple failure modes, a sensitivity matrix is proposed. The dominant singular vectors of the sensitivity matrix are found to indicate the most important parameters for combined sensitivity of multiple failure modes. Therefore, the sensitivity matrix can guide resources allocation so that most uncertainties can be reduced for system reliabilities.
Sponsorship
Engineering and Physical Sciences Research Council (EP/R006768/1)
Identifiers
External DOI: https://doi.org/10.1016/j.cma.2022.115030
This record's URL: https://www.repository.cam.ac.uk/handle/1810/336998
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