Open-source simulation of strongly-coupled fluid-structure interaction between non-conformal interfaces Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.3389/fbuil.2023.1120518
Design code-based “life-safety” requirements for structural earthquake and tsunami design offer reasonable guidelines to construct buildings that will remain standing during a tsunami or seismic event. Much less consideration has been given to assessing structural resilience during sequential earthquake and tsunami multi-hazard events. Such events present a series of extreme loading scenarios, where damage sustained during the earthquake influences structural performance during the subsequent inundation. Similar difficulties exist with respect to damage sustained during tropical events, as wind and fluid loading may vary with structural response or accumulated damage. To help ensure critical structures meet a “life-safety” level of performance during such multi-hazard events, analysis software capable of simulating simultaneous structural and fluid dynamics must be developed. To address this gap in understanding of non-linear fluid-structure-interaction (FSI), an open-source tool (FOAMySees) was developed for simulation of tsunami and wave impact analysis of post-earthquake non-linear structural response of buildings. The tool is comprised of the Open-source Field Operation And Manipulation software package and OpenSeesPy, a Python 3 interpreter of OpenSees. The programs are coupled via preCICE, a coupling library for partitioned multi-physics simulation. FOAMySees has been written to work in a Linux OS environment with HPC clusters in mind. The FOAMySees program offers a partitioned conventional-serial-staggered coupling scheme, with optional implicit iteration techniques to ensure a strongly-coupled two-way FSI solution. While FOAMySees was developed specifically for tsunami-resilience analysis, it may be utilized for other FSI applications with ease. With this coupled Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) program, tsunami and earthquake simulations may be run sequentially or simultaneously, allowing for the evaluation of non-linear structural response to multi-hazard excitation.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fbuil.2023.1120518
- https://www.frontiersin.org/articles/10.3389/fbuil.2023.1120518/pdf
- OA Status
- gold
- Cited By
- 5
- References
- 22
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4353086502
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4353086502Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fbuil.2023.1120518Digital Object Identifier
- Title
-
Open-source simulation of strongly-coupled fluid-structure interaction between non-conformal interfacesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-03-22Full publication date if available
- Authors
-
Nicolette S. Lewis, Andrew O. Winter, Justin Bonus, Michael R. Motley, Marc O. Eberhard, Pedro Arduino, Dawn E. LehmanList of authors in order
- Landing page
-
https://doi.org/10.3389/fbuil.2023.1120518Publisher landing page
- PDF URL
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https://www.frontiersin.org/articles/10.3389/fbuil.2023.1120518/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/fbuil.2023.1120518/pdfDirect OA link when available
- Concepts
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OpenSees, Computer science, Fluid–structure interaction, Python (programming language), Seismic hazard, Software, Structural engineering, Seismology, Engineering, Geology, Finite element method, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 1, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
22Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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