A practical framework for performance-based reliability analysis of subway stations based on a fault–structure combined system Article Swipe
Mohammad Ghorbanzadeh
,
Mohsen Hajihassani
,
Mehdi Kharghani
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.jrmge.2022.09.012
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1016/j.jrmge.2022.09.012
It is necessary to pay particular attention to the uncertainties that exist in an engineering problem to reduce the risk of seismic damage of infrastructures against natural hazards. Moreover, certain structural performance levels should be satisfied during strong earthquakes. However, these performance levels have been only well described for aboveground structures. This study investigates the main uncertainties involved in the performance-based seismic analysis of a multi-story subway station. More than 100 pulse-like and no pulse-like ground motions have been selected. In this regard, an effective framework is presented, based on a set of nonlinear static and dynamic analyses performed by OpenSees code. The probabilistic seismic demand models for computing the free-field shear strain of soil and racking ratio of structure are proposed. These models result in less variability compared with existing relations, and make it possible to evaluate a wider range of uncertainties through reliability analysis in Rtx software using the Monte Carlo sampling method. This work is performed for three different structural performance levels (denoted as PL1–PL3). It is demonstrated that the error terms related to the magnitude and location of earthquake excitations and also the corresponding attenuation relationships have been the most important parameters. Therefore, using a fault–structure model would be inevitable for the reliability analysis of subway stations. It is found that the higher performance level (i.e. PL3) has more sensitivity to random variables than the others. In this condition, the pulse-like ground motions have a major contribution to the vulnerability of subway stations.
Related Topics
Concepts
OpenSees
Reliability (semiconductor)
Range (aeronautics)
Sensitivity (control systems)
Nonlinear system
Monte Carlo method
Incremental Dynamic Analysis
Reliability engineering
Computer science
Probabilistic logic
Fault tree analysis
Structural engineering
Vulnerability (computing)
Engineering
Seismic analysis
Statistics
Finite element method
Mathematics
Quantum mechanics
Physics
Power (physics)
Computer security
Electronic engineering
Aerospace engineering
Artificial intelligence
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.jrmge.2022.09.012
- OA Status
- diamond
- Cited By
- 3
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4306966902
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4306966902Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.jrmge.2022.09.012Digital Object Identifier
- Title
-
A practical framework for performance-based reliability analysis of subway stations based on a fault–structure combined systemWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-10-21Full publication date if available
- Authors
-
Mohammad Ghorbanzadeh, Mohsen Hajihassani, Mehdi KharghaniList of authors in order
- Landing page
-
https://doi.org/10.1016/j.jrmge.2022.09.012Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.jrmge.2022.09.012Direct OA link when available
- Concepts
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OpenSees, Reliability (semiconductor), Range (aeronautics), Sensitivity (control systems), Nonlinear system, Monte Carlo method, Incremental Dynamic Analysis, Reliability engineering, Computer science, Probabilistic logic, Fault tree analysis, Structural engineering, Vulnerability (computing), Engineering, Seismic analysis, Statistics, Finite element method, Mathematics, Quantum mechanics, Physics, Power (physics), Computer security, Electronic engineering, Aerospace engineering, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1Per-year citation counts (last 5 years)
- References (count)
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48Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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