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
A Novel Risk Assessment for Complex Structural Systems
Jungwon Huh,Achintya Haldar +1 more
TL;DR: A hybrid risk assessment approach is proposed by intelligently integrating the stochastic finite element method, and the response surface method, capable of estimating the probability just before failure considering all major sources of nonlinearity and uncertainty, eliminating the deficiencies of the currently available reliability methods.
Proceedings ArticleDOI
Creep Life Uncertainty Assessment of a Gas Turbine Airfoil
Jon M. Wallace,Dimitri N. Mavris +1 more
TL;DR: In this article, a complex multi-physics environment has been created to automate the bulk creep life assessment of a gas turbine airfoil for a land-based, heavy duty power generation unit.
Dissertation
Development of Multidisciplinary Design Optimization Algorithms for Ship Design Under Uncertainty.
Journal ArticleDOI
A novel reliability evaluation method for large engineering systems
Reda Farag,Achintya Haldar +1 more
TL;DR: In this article, a hybrid approach consisting of the stochastic finite element method (SFEM) developed by the author and his research team using FORM, response surface method (RSM), an interpolation scheme, and advanced factorial schemes is proposed.
Journal ArticleDOI
Bayesian Sensitivity Analysis and Uncertainty Integration for Robust Optimization
Chen Liang,Sankaran Mahadevan +1 more
TL;DR: This paper presents a comprehensive methodology that combines uncertainty quantification, uncertainty propagation, and design optimization using a Bayesian framework to replace the expensive physics models and improve the computational efficiency.
References
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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.