37 citations · 168 across the 20 of their papers we have counts for
21 papers
A Statistical Physics View of the S&P 500: Pairwise Interactions and Time-Varying Dynamics
Sebin Oh, Marta C. Gonzáleza, Ziqi Wang
We analyze a fixed panel of S\&P 500 stocks from 1996 to 2026 using complementary static and kinetic Ising models applied to daily binary open-to-close movements. The static pairwi…
Social Amplification Dominates Collective Hazard Response
Xiaolei Chu, Guanren Zhou, Marco Broccardo +3
Large-scale hazards affect societies not only through direct physical impacts but also through emotions that spread across populations. Fueled by social amplification and networked…
Phase Transitions in Collective Damage of Civil Structures under Natural Hazards
Sebin Oh, Jinyan Zhao, Raul Rincon +2
The fate of cities under natural hazards depends not only on hazard intensity but also on the coupling of structural damage, a collective process that remains poorly understood. He…
A composition of simplified physics-based model with neural operator for trajectory-level seismic response predictions of structural systems
Jungho Kim, Sang-ri Yi, Ziqi Wang
Accurate prediction of nonlinear structural responses is essential for earthquake risk assessment and management. While high-fidelity nonlinear time history analysis provides the m…
Recorded Versus Synthetic Spectral-compatible Ground Motions: A Comparative Analysis of Structural Seismic Responses
Jungho Kim, Maijia Su, Ziqi Wang +1
This paper presents a comparative analysis of structural seismic responses under two types of ground motion inputs: (i) synthetic motions generated by stochastic spectral-compatibl…
Uncertainty quantification for seismic response using dimensionality reduction-based stochastic simulator
Jungho Kim, Ziqi Wang
This paper introduces a stochastic simulator for seismic uncertainty quantification, which is crucial for performance-based earthquake engineering. The proposed simulator extends t…
Physics-based linear regression for high-dimensional forward uncertainty quantification
Ziqi Wang
We introduce linear regression using physics-based basis functions optimized through the geometry of an inner product space. This method addresses the challenge of surrogate modeli…
Surrogate modeling for probability distribution estimation:uniform or adaptive design?
Maijia Su, Ziqi Wang, Oreste Salvatore Bursi +1
The active learning (AL) technique, one of the state-of-the-art methods for constructing surrogate models, has shown high accuracy and efficiency in forward uncertainty quantificat…
Long-range Ising model for regional-scale seismic risk analysis
Sebin Oh, Sang-ri Yi, Ziqi Wang
This study introduces the long-range Ising model from statistical mechanics to the Performance-Based Earthquake Engineering (PBEE) framework for regional seismic damage analysis. T…
Risk Twin: Real-time Risk Visualization and Control for Structural Systems
Zeyu Wang, Ziqi Wang
Digital twinning in structural engineering is a rapidly evolving technology that aims to eliminate the gap between physical systems and their digital models through real-time sensi…
Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification
Jungho Kim, Sang-ri Yi, Ziqi Wang
We introduce a method to construct a stochastic surrogate model from the results of dimensionality reduction in forward uncertainty quantification. The hypothesis is that the high-…
Maximum entropy-based modeling of community-level hazard responses for civil infrastructures
Xiaolei Chu, Ziqi Wang
Perturbed by natural hazards, community-level infrastructure networks operate like many-body systems, with behaviors emerging from coupling individual component dynamics with group…
Efficient seismic reliability and fragility analysis of lifeline networks using subset simulation
Dongkyu Lee, Ziqi Wang, Junho Song
Various simulation-based and analytical methods have been developed to evaluate the seismic fragilities of individual structures. However, the seismic safety and resilience of a co…
A physics and data co-driven surrogate modeling method for high-dimensional rare event simulation
Jianhua Xian, Ziqi Wang
This paper presents a physics and data co-driven surrogate modeling method for efficient rare event simulation of civil and mechanical systems with high-dimensional input uncertain…
Adaptive active subspace-based metamodeling for high-dimensional reliability analysis
Jungho Kim, Ziqi Wang, Junho Song
To address the challenges of reliability analysis in high-dimensional probability spaces, this paper proposes a new metamodeling method that couples active subspace, heteroscedasti…
Relaxation-based importance sampling for structural reliability analysis
Jianhua Xian, Ziqi Wang
This study presents an importance sampling formulation based on adaptively relaxing parameters from the indicator function and/or the probability density function. The formulation…
Optimized Equivalent Linearization for Random Vibration
Ziqi Wang
A fundamental limitation of various Equivalent Linearization Methods (ELMs) in nonlinear random vibration analysis is that they are approximate by their nature. A quantity of inter…
The dynamics of entropy in the COVID-19 outbreaks
Ziqi Wang, Marco Broccardo, Arnaud Mignan +1
With the unfolding of the COVID-19 pandemic, mathematical modeling of epidemics has been perceived and used as a central element in understanding, predicting, and governing the pan…
Probabilistic Performance-Pattern Decomposition (PPPD): analysis framework and applications to stochastic mechanical systems
Ziqi Wang, Marco Broccardo, Junho Song
Since the early 1900s, numerous research efforts have been devoted to developing quantitative solutions to stochastic mechanical systems. In general, the problem is perceived as so…
A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis
Ziqi Wang, Marco Broccardo
This paper proposes an active learning-based Gaussian process (AL-GP) metamodelling method to estimate the cumulative as well as complementary cumulative distribution function (CDF…
Hamiltonian Monte Carlo Methods for Subset Simulation in Reliability Analysis
Ziqi Wang, Marco Broccardo, Junho Song
This paper studies a non-random-walk Markov Chain Monte Carlo method, namely the Hamiltonian Monte Carlo (HMC) method in the context of Subset Simulation used for structural reliab…