Ziqi Wang

Assistant Professor

University of California, Berkeley

United States

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About

Dr. Ziqi Wang is an Assistant Professor at the University of California, Berkeley, USA. His research focuses on areas including surrogate modeling, seismic reliability analysis, and risk visualization for structural systems. Dr. Wang has published extensively on topics related to uncertainty quantification and performance analysis of civil infrastructures in response to seismic events.

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2020

Collaborators (5)

Bingyu Zhao

TU Wien

AUSTRIA

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Sang-ri Yi

Assistant Professor

Rice University

UNITED STATES

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Dan M. Frangopol

Lehigh University

UNITED STATES

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Marco Broccardo

Professor Associate

Università degli Studi di Torino

ITALY

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Pengshun Li

University of California, Berkeley

UNITED STATES

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Ziqi Wang

Research Interests

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About

Articles (22)

Surrogate modeling for identifying critical bridges in traffic networks under earthquake conditions

Surrogate modeling for probability distribution estimation: Uniform or adaptive design?

Efficient seismic reliability and fragility analysis of lifeline networks using subset simulation

Risk twin: real-time risk visualization and control for structural systems

Maximum entropy-based modeling of community-level hazard responses for civil infrastructures

Physics-based linear regression for high-dimensional forward uncertainty quantification

Uncertainty quantification for seismic response using dimensionality reduction‐based stochastic simulator

Evaluation of the shear stiffness and load redistribution of framed structures affected by tunnelling

Probabilistic Performance-Pattern Decomposition (PPPD): Analysis framework and applications to stochastic mechanical systems

A physics and data co-driven surrogate modeling method for high-dimensional rare event simulation

Long‐range Ising model for regional‐scale seismic risk analysis

Adaptive active subspace-based metamodeling for high-dimensional reliability analysis

Optimized equivalent linearization for random vibration

Relaxation-based importance sampling for structural reliability analysis

Non-stationary non-Gaussian random vibration analysis of Duffing systems based on explicit time-domain method

Application of first-order reliability method with orthogonal plane sampling for high-dimensional series system reliability analysis

Dynamics of severe accidents in the oil & gas energy sector derived from the authoritative ENergy-related severe accident database

Riemannian Manifold Hamiltonian Monte Carlo based subset simulation for reliability analysis in non-Gaussian space

Comprehensive Survey of Seismic Hazard at Geothermal Sites by a Meta-Analysis of the Underground Feedback Activation Parameter afb

Exploring the Space of Possibilities in Cascading Disasters with Catastrophe Dynamics

The dynamics of entropy in the COVID-19 outbreaks

A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis

Collaborators (5)

Bingyu Zhao

Sang-ri Yi

Dan M. Frangopol

Marco Broccardo

Pengshun Li

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