A Novel Support-Vector-Machine-Based Grasshopper Optimization Algorithm for Structural Reliability Analysis Article Swipe
Yutai Yang
,
Weizhe Sun
,
Guoshao Su
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/buildings12060855
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/buildings12060855
Aiming at the characteristics of high computational cost, implicit expression and high nonlinearity of performance functions corresponding to large and complex structures, this paper proposes a support-vector-machine- (SVM) based grasshopper optimization algorithm (GOA) for structural reliability analysis. With this method, the reliability problem is transformed into an optimization problem. On the basis of using the finite element method (FEM) to generate a small number of samples, the SVM model is used to construct a surrogate model of the performance function, and an explicit expression of the implicit nonlinear performance function under the condition of small samples is realized. Then, the GOA is used to search for the most probable point (MPP), and a reasonable iterative method is constructed. The MPP information of each iteration step is used to dynamically improve the reconstruction accuracy of the surrogate model in the region that contributes most to the failure probability. Finally, with the MPP after the iteration as the sampling center, the importance sampling method (ISM) is used to further infer the structural failure probability. The feasibility of the method is verified by four numerical cases. Then, the method is applied to a long-span bridge. The results show that the method has significant advantages in computational accuracy and computational efficiency and is suitable for solving structural reliability problems of complex engineering.
Related Topics
Concepts
Support vector machine
Reliability (semiconductor)
Surrogate model
Computer science
Algorithm
Sampling (signal processing)
Finite element method
Nonlinear system
Expression (computer science)
Mathematical optimization
Mathematics
Artificial intelligence
Machine learning
Engineering
Structural engineering
Quantum mechanics
Filter (signal processing)
Computer vision
Physics
Programming language
Power (physics)
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/buildings12060855
- https://www.mdpi.com/2075-5309/12/6/855/pdf?version=1655644735
- OA Status
- gold
- Cited By
- 10
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4283124025
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4283124025Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/buildings12060855Digital Object Identifier
- Title
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A Novel Support-Vector-Machine-Based Grasshopper Optimization Algorithm for Structural Reliability AnalysisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-19Full publication date if available
- Authors
-
Yutai Yang, Weizhe Sun, Guoshao SuList of authors in order
- Landing page
-
https://doi.org/10.3390/buildings12060855Publisher landing page
- PDF URL
-
https://www.mdpi.com/2075-5309/12/6/855/pdf?version=1655644735Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2075-5309/12/6/855/pdf?version=1655644735Direct OA link when available
- Concepts
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Support vector machine, Reliability (semiconductor), Surrogate model, Computer science, Algorithm, Sampling (signal processing), Finite element method, Nonlinear system, Expression (computer science), Mathematical optimization, Mathematics, Artificial intelligence, Machine learning, Engineering, Structural engineering, Quantum mechanics, Filter (signal processing), Computer vision, Physics, Programming language, Power (physics)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 3, 2023: 4, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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