[HTML][HTML] Stochastic model updating with uncertainty quantification: an overview and tutorial
This paper presents an overview of the theoretic framework of stochastic model updating,
including critical aspects of model parameterisation, sensitivity analysis, surrogate …
including critical aspects of model parameterisation, sensitivity analysis, surrogate …
Methodology maps for model-based sensor-data interpretation to support civil-infrastructure management
With increasing urbanization and depleting reserves of raw materials for construction,
sustainable management of existing infrastructure will be an important challenge in this …
sustainable management of existing infrastructure will be an important challenge in this …
Progressive collapse and robustness of modular high-rise buildings
Contrary to conventional buildings, the structural robustness of modular high-rise buildings
has not been studied due to the lack of the numerical and experimental studies and design …
has not been studied due to the lack of the numerical and experimental studies and design …
Empirical-based support vector machine method for seismic assessment and simulation of reinforced concrete columns using historical cyclic tests
Support vector machine models are generally considered as “black box” procedures, which
sometimes render them unexplainable and prone to over-fitting or under-fitting in absence of …
sometimes render them unexplainable and prone to over-fitting or under-fitting in absence of …
Robust system identification and model predictions in the presence of systematic uncertainty
R Pasquier, IFC Smith - Advanced Engineering Informatics, 2015 - Elsevier
Context Model-based data-interpretation techniques are increasingly used to improve the
knowledge of complex system behavior. Physics-based models that are identified using …
knowledge of complex system behavior. Physics-based models that are identified using …
A generic test suite for evolutionary multifidelity optimization
Many real-world optimization problems involve computationally intensive numerical
simulations to accurately evaluate the quality of solutions. Usually, the fidelity of the …
simulations to accurately evaluate the quality of solutions. Usually, the fidelity of the …
A method for accurate measuring the tensile strength of single rock grain interface
ZJ Wu, ZY Wang, Y Wu, XY Wang, QS Liu… - Rock Mechanics and Rock …, 2023 - Springer
Highlights Anapparatus with precise controllability and large stiffness was designed to
investigate the mechanical behavior of rock grain interface. The fracture toughness and …
investigate the mechanical behavior of rock grain interface. The fracture toughness and …
Uncertainty quantification metrics with varying statistical information in model calibration and validation
Test-analysis comparison metrics are mathematical functions that provide a quantitative
measure of the agreement (or lack thereof) between numerical predictions and experimental …
measure of the agreement (or lack thereof) between numerical predictions and experimental …
Iterative structural identification framework for evaluation of existing structures
R Pasquier, IFC Smith - Engineering Structures, 2016 - Elsevier
Abstract Evaluation of aging infrastructure has been a world-wide concern for decades due
to its economic, ecological and societal importance. Existing structures usually have large …
to its economic, ecological and societal importance. Existing structures usually have large …
Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm
Optimization of many real-world optimization problems relies on numerical simulations for
function evaluations. In some cases, both high-and low-fidelity simulations are available …
function evaluations. In some cases, both high-and low-fidelity simulations are available …