Model‐Free Data‐Driven Computational Analysis for Soil Consolidation Problems Article Swipe
Wu-zhou Zhai
,
Feiyang Wang
,
Asaad Faramarzi
,
Nicole Metje
,
Wu-zhou Zhai
,
Feiyang Wang
,
Asaad Faramarzi
,
Nicole Metje
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/nag.70155
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/nag.70155
Soils are inherently uncertain natural materials. In geotechnical engineering, soil properties are fundamentally characterised by testing small samples. The results will then be utilised to determine appropriate geomaterial constitutive models and associated parameters for implementation in conventional computational procedures such as finite element analysis (FEM). However, the accuracy and generalisation capability of such analyses largely depends on the selection of models, which may vary according to the specific applications. To overcome these limitations, computational approaches that do not rely on predefined soil constitutive models are emerging. In this paper, the formulation of data‐driven computing for fluid transport in porous media with particular reference to soil consolidation is derived. This does not rely on any constitutive flow law or models; instead, it directly uses the experimental data on fluid transport properties to compute fluid phase distribution during transient changes of the porous skeleton. For a discretised domain, the data‐driven solver assigns each element or quadrature point a state from an experimental dataset, satisfying mass conservation condition and fluid pressure gradient definition simultaneously. By introducing a penalty function defined by the quadratic distance between local state and material state, the problem is formulated as a constrained minimisation task solved explicitly by the Lagrange multipliers method. Subsequently, several cases were analysed using the proposed data‐driven method and compared with analytical and finite element (FE) solutions. In these tests, the data‐driven method shows good accuracy and convergence properties with further discussion on the influence of the scale and noise level of the dataset.
Related Topics
Concepts
Solver
Consolidation (business)
Finite element method
Constitutive equation
Applied mathematics
Mathematical optimization
Lagrange multiplier
Quadratic equation
Mathematics
Porous medium
Computer science
Quadrature (astronomy)
Material point method
Penalty method
Conservation of mass
Fluid dynamics
Conservation law
Geotechnical engineering
Convergence (economics)
Numerical analysis
Sequential quadratic programming
Soil mechanics
Mixed finite element method
Function (biology)
Richards equation
Material properties
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/nag.70155
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/nag.70155
- OA Status
- hybrid
- References
- 25
- OpenAlex ID
- https://openalex.org/W7106098462
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7106098462Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/nag.70155Digital Object Identifier
- Title
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Model‐Free Data‐Driven Computational Analysis for Soil Consolidation ProblemsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-11-20Full publication date if available
- Authors
-
Wu-zhou Zhai, Feiyang Wang, Asaad Faramarzi, Nicole Metje, Wu-zhou Zhai, Feiyang Wang, Asaad Faramarzi, Nicole MetjeList of authors in order
- Landing page
-
https://doi.org/10.1002/nag.70155Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/nag.70155Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/nag.70155Direct OA link when available
- Concepts
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Solver, Consolidation (business), Finite element method, Constitutive equation, Applied mathematics, Mathematical optimization, Lagrange multiplier, Quadratic equation, Mathematics, Porous medium, Computer science, Quadrature (astronomy), Material point method, Penalty method, Conservation of mass, Fluid dynamics, Conservation law, Geotechnical engineering, Convergence (economics), Numerical analysis, Sequential quadratic programming, Soil mechanics, Mixed finite element method, Function (biology), Richards equation, Material propertiesTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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25Number of works referenced by this work
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