37 citations · 168 across the 20 of their papers we have counts for
6 papers · 1 filter
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-…