Identification of Nonlinear Soil Properties from Downhole Array Data Using a Bayesian Model Updating Approach Article Swipe
S. Farid Ghahari
,
F. Abazarsa
,
Hamed Ebrahimian
,
Wenyang Zhang
,
Pedro Arduino
,
Ertuǧrul Taciroğlu
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/s22249848
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/s22249848
An accurate seismic response simulation of civil structures requires accounting for the nonlinear soil response behavior. This, in turn, requires understanding the nonlinear material behavior of in situ soils under earthquake excitations. System identification methods applied to data recorded during earthquakes provide an opportunity to identify the nonlinear material properties of in situ soils. In this study, we use a Bayesian inference framework for nonlinear model updating to estimate the nonlinear soil properties from recorded downhole array data. For this purpose, a one-dimensional finite element model of the geotechnical site with nonlinear soil material constitutive model is updated to estimate the parameters of the soil model as well as the input excitations, including incident, bedrock, or within motions. The seismic inversion method is first verified by using several synthetic case studies. It is then validated by using measurements from a centrifuge test and with data recorded at the Lotung experimental site in Taiwan. The site inversion method is then applied to the Benicia–Martinez geotechnical array in California, using the seismic data recorded during the 2014 South Napa earthquake. The results show the promising application of the proposed seismic inversion approach using Bayesian model updating to identify the nonlinear material parameters of in situ soil by using recorded downhole array data.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s22249848
- https://www.mdpi.com/1424-8220/22/24/9848/pdf?version=1671518186
- OA Status
- gold
- Cited By
- 3
- References
- 58
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4311613145
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4311613145Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/s22249848Digital Object Identifier
- Title
-
Identification of Nonlinear Soil Properties from Downhole Array Data Using a Bayesian Model Updating ApproachWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-12-14Full publication date if available
- Authors
-
S. Farid Ghahari, F. Abazarsa, Hamed Ebrahimian, Wenyang Zhang, Pedro Arduino, Ertuǧrul TaciroğluList of authors in order
- Landing page
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https://doi.org/10.3390/s22249848Publisher landing page
- PDF URL
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https://www.mdpi.com/1424-8220/22/24/9848/pdf?version=1671518186Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/22/24/9848/pdf?version=1671518186Direct OA link when available
- Concepts
-
Nonlinear system, Geology, Geotechnical engineering, Centrifuge, Bayesian inference, Bedrock, Bayesian probability, Engineering, Computer science, Geomorphology, Artificial intelligence, Quantum mechanics, Nuclear physics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 1, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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58Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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