Chaofeng Wang

Computational Mechanics, Deep Learning, Uncertainty Quantification, Natural Hazards


" Research "


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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Random fields for spatial temporal analysis 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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Mechanics-based evaluation of liquefaction hazard with integrated FEM-DEM in multiscale

Evaluation of liquefaction with multiscale numerical framework

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Large-scale geohazard prediction with multiscale random fields

Liquefaction evaluation in an earthquake prone eara

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Processing Tornado Data Using Hadoop on Cypress Cluster

Clemson University's Hadoop Cluster: Cypress

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© 2020 Chaofeng Wang ยท Built on Canvas / Laravel