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Calibration experimental design considering field response and model uncertainty · Study

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ArticleCalibration experimental design considering field response and model uncertainty

Zhen Yu Hu2017

OA

Articlebronze2017

Calibration experimental design considering field response and model uncertainty

Zhen Yu Hu · Dan Ao · Sankaran Mahadevan

46 citations·0/0 files stored·Computer Methods in Applied Mechanics and Engineering

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Probabilistic and Robust Engineering Design Optimal Experimental Design Methods Advanced Multi-Objective Optimization Algorithms

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References

1989Design and Analysis of Computer Experiments 2001Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates 1987Large Sample Properties of Simulations Using Latin Hypercube Sampling 1995Bayesian Experimental Design: A Review 1999Probability, reliability and statistical methods in engineering design 2001Probability, Reliability and Statistical Methods in Engineering Design 1959DESIGN OF EXPERIMENTS IN NON-LINEAR SITUATIONS 2012Simulation-based optimal Bayesian experimental design for nonlinear systems

Cited by

2017Sensor placement for calibration of spatially varying model parameters 2017Uncertainty aggregation and reduction in structure–material performance prediction 2022Bayesian calibration of multi-level model with unobservable distributed response and application to miter gates 2019Testing Design Optimization for Uncertainty Reduction in Generating Off-Road Mobility Map Using a Bayesian Approach 2017Unified uncertainty representation and quantification based on insufficient input data

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Details

Year2017

Typearticle

Published2017-01-21

VenueComputer Methods in Applied Mechanics and Engineering

ISSN-L0045-7825

Languageen

Citations46

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.cma.2017.01.007

openalex_workW2579687003

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2019Simulation and Sensor Optimization for Multifidelity Dynamics Model Calibration