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A platform for research: civil engineering, architecture and urbanism
Reliability-Based Analysis of a Portuguese Concrete Arch Bridge Employing Surrogate Modeling Techniques Based on Adaptive Sequential Sampling
https://orcid.org/http://orcid.org/0000-0003-1880-2311
https://orcid.org/http://orcid.org/0000-0003-3270-9367
https://orcid.org/http://orcid.org/0000-0002-3366-5557
https://orcid.org/http://orcid.org/0000-0001-9560-2159
https://orcid.org/http://orcid.org/0000-0001-8459-0199
https://orcid.org/http://orcid.org/0000-0002-1536-2149
Adaptive sequential sampling provides a good technique to refine and increase the accuracy of surrogate models used for reliability analysis based on selecting possible future candidates in the input domain (i.e., random variables). In the present research, adaptive sequential sampling was employed to obtain the training experimental design from a set of random variables to develop a surrogate model capable of representing the failure limit of the asset under vertical traffic loads. The surrogate model was then used to obtain the failure probability of the case study, a single-span concrete arch bridge in Portugal. The resulting reliability index was compared with the outcomes obtained in previous research. Finally, by integrating novel sampling approaches a reduction in the computational cost associated with the reliability analysis and an overall better reliability of the surrogate model for evaluating the performance limit state was obtained.
Reliability-Based Analysis of a Portuguese Concrete Arch Bridge Employing Surrogate Modeling Techniques Based on Adaptive Sequential Sampling
https://orcid.org/http://orcid.org/0000-0003-1880-2311
https://orcid.org/http://orcid.org/0000-0003-3270-9367
https://orcid.org/http://orcid.org/0000-0002-3366-5557
https://orcid.org/http://orcid.org/0000-0001-9560-2159
https://orcid.org/http://orcid.org/0000-0001-8459-0199
https://orcid.org/http://orcid.org/0000-0002-1536-2149
Adaptive sequential sampling provides a good technique to refine and increase the accuracy of surrogate models used for reliability analysis based on selecting possible future candidates in the input domain (i.e., random variables). In the present research, adaptive sequential sampling was employed to obtain the training experimental design from a set of random variables to develop a surrogate model capable of representing the failure limit of the asset under vertical traffic loads. The surrogate model was then used to obtain the failure probability of the case study, a single-span concrete arch bridge in Portugal. The resulting reliability index was compared with the outcomes obtained in previous research. Finally, by integrating novel sampling approaches a reduction in the computational cost associated with the reliability analysis and an overall better reliability of the surrogate model for evaluating the performance limit state was obtained.
Reliability-Based Analysis of a Portuguese Concrete Arch Bridge Employing Surrogate Modeling Techniques Based on Adaptive Sequential Sampling
https://orcid.org/http://orcid.org/0000-0003-1880-2311
https://orcid.org/http://orcid.org/0000-0003-3270-9367
https://orcid.org/http://orcid.org/0000-0002-3366-5557
https://orcid.org/http://orcid.org/0000-0001-9560-2159
https://orcid.org/http://orcid.org/0000-0001-8459-0199
https://orcid.org/http://orcid.org/0000-0002-1536-2149
Adaptive sequential sampling provides a good technique to refine and increase the accuracy of surrogate models used for reliability analysis based on selecting possible future candidates in the input domain (i.e., random variables). In the present research, adaptive sequential sampling was employed to obtain the training experimental design from a set of random variables to develop a surrogate model capable of representing the failure limit of the asset under vertical traffic loads. The surrogate model was then used to obtain the failure probability of the case study, a single-span concrete arch bridge in Portugal. The resulting reliability index was compared with the outcomes obtained in previous research. Finally, by integrating novel sampling approaches a reduction in the computational cost associated with the reliability analysis and an overall better reliability of the surrogate model for evaluating the performance limit state was obtained.
Reliability-Based Analysis of a Portuguese Concrete Arch Bridge Employing Surrogate Modeling Techniques Based on Adaptive Sequential Sampling
Lecture Notes in Civil Engineering
Barros, Joaquim A. O. (editor) / Cunha, Vítor M. C. F. (editor) / Sousa, Hélder S. (editor) / Matos, José C. (editor) / Sena-Cruz, José M. (editor) / Cabanzo, Carlos (author) / Baron, Edward (author) / Vorechovsky, Miroslav (author) / Akiyama, Mitsuyoshi (author) / Lourenço, Paulo B. (author)
FIB International Conference on Concrete Sustainability ; 2024 ; Guimarães, Portugal
4th fib International Conference on Concrete Sustainability (ICCS2024) ; Chapter: 63 ; 516-523
2025-01-09
8 pages
Article/Chapter (Book)
Electronic Resource
English
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