Journal ArticleDOI
Probability, Reliability and Statistical Methods in Engineering Design
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This article is published in Journal of Structural Engineering-asce.The article was published on 2001-01-01. It has received 451 citations till now. The article focuses on the topics: Probabilistic design & Reliability (statistics).read more
Citations
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Journal ArticleDOI
Is My Model Good Enough? Best Practices for Verification and Validation of Musculoskeletal Models and Simulations of Movement
TL;DR: Practical guidelines for verification and validation of NMS models and simulations are established that researchers, clinicians, reviewers, and others can adopt to evaluate the accuracy and credibility of modeling studies.
Journal ArticleDOI
Adaptive Designs of Experiments for Accurate Approximation of a Target Region
TL;DR: An iterative strategy to build designs of experiments is proposed, which is based on an explicit trade-off between reduction of global uncertainty and exploration of the regions of interest, which shows that a substantial reduction of error can be achieved in the crucial regions.
Journal ArticleDOI
Adaptive explicit decision functions for probabilistic design and optimization using support vector machines
Anirban Basudhar,Samy Missoum +1 more
TL;DR: This article presents a methodology to generate explicit decision functions using support vector machines (SVM) and proposes an adaptive sampling scheme that updates the decision function.
Journal ArticleDOI
Validation of reliability computational models using Bayes networks
Sankaran Mahadevan,Ramesh Rebba +1 more
TL;DR: The methodology includes uncertainty in the experimental measurement, and the posterior and prior distributions of the model output are used to compute a validation metric based on Bayesian hypothesis testing.
Journal ArticleDOI
Adaptive probability analysis using an enhanced hybrid mean value method
TL;DR: In this article, an adaptive probability analysis method is proposed to generate the probability distribution of the output performance function by identifying the propagation of input uncertainty to output uncertainty, which is based on an enhanced hybrid mean value (HMV+) analysis in the performance measure approach.
References
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DissertationDOI
Variable screening method using statistical sensitivity analysis in RBDO
Abstract: Recommended Citation Bae, Sangjune. "Variable screening method using statistical sensitivity analysis in RBDO.
Proceedings ArticleDOI
Use of Simulation in Structural Reliability
TL;DR: In this article, Monte Carlo simulation is used as a general tool for reliability analysis of structural systems with respect to the collapse of an arch bridge, and the usefulness and effectiveness of simulation are shown through the application of an existing arch bridge.
Proceedings ArticleDOI
Construction of confidence interval on mean value with interval data
Kais Zaman,Shahriar M. Khan +1 more
TL;DR: The proposed approach of construction of confidence interval enables more complete implementation of design optimization under interval uncertainty and implements the constraints on interval variables through the computation of bounds on mean values from the sampled data.
Journal ArticleDOI
Including reliability in the AASHTO-93 flexible pavement design method integrating pavement deterioration models
TL;DR: In this article, a Monte Carlo simulation model is developed, using field data and statistical concepts that allow defining the variables of the model as random variables, and with the variables found and using the reliability theory and the serviceability model, the design method and the models of deterioration are evaluated through a supply and demand analysis to obtain the reliability value that reduces the uncertainty of the performance of the structure when operating.
Proceedings ArticleDOI
Reliability sensitivity analysis of mechanical parts with multiple failure modes
Hao Lu,Yimin Zhang,Hao Lv +2 more
TL;DR: A reliability and reliability-based sensitivity analysis on mechanical parts with multiple failure modes is carried out in this paper, where the first three main failure modes are considered and the reliability with three failure modes were obtained based on the built joint distribution function with selected copula function.