Chaofeng Wang

Computational Mechanics, Deep Learning, Uncertainty Quantification, Natural Hazards


" Research "


Data-driven Constitutive Modeling by Soft Computing

A new approach for efficient plasticity modeling

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Large-scale Rapid Screening of Infrastructure Vulnerabilities

Using deep learning

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Can Liquefaction Paralyze The Bay Area by Causing Trouble to the Transportation Infrastructure?

Likely to happen.

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Inverse Uncertainty Quantification of Compute-intensive Models Using Machine Learning Methods

Autoencoders

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Multi-scale probabilistic soil-city interaction

A framework for multiscale analyses

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Polynomial chaos expansion

for Uncertainty Quantification

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Earthquake Soil Liquefaction

Nonlinear simulation of site response considering liquefaction

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Multi-scale random fields and uncertainty quantification

Theory and Application

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Dynamic Hydro-Mechanical Coupling

MultiPhysics Analysis of Dynamic Hydro-Mechanical Coupling Considering Material Plasticity

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Large-scale geohazard prediction with multiscale random fields

Liquefaction evaluation in an earthquake prone eara

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