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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Journal ArticleDOI
Hybrid Reliability Analysis Method for Electromagnetic Design Problems With Non-Gaussian Probabilistic Parameters
TL;DR: An efficient and stable reliability analysis method is proposed for reliability-based electromagnetic design problems with non-normal probability distributions of input parameters by introducing a hybrid mean-value method to seeking a most probable failure point in the performance measure approach.
Dissertation
Uncertainty Propagation in Hypersonic Vehicle Aerothermoelastic Analysis.
TL;DR: In this article, an uncertainty quantification framework is used to propagate the effects of identified uncertainties on the stability margins and performance of the different systems considered, including a loosely coupled airframe and a scramjet engine.
Dissertation
Using probability density functions to analyze the effect of external threats on the reliability of a South African power grid
TL;DR: This paper presents a meta-analysis of network planning and operation challenges in the context of a knowledge-based approach to cloud-based resource management and shows how this approach can be improved.
Proceedings ArticleDOI
Reliability-based design optimization for land grid array solder joints under thermo-mechanical load
TL;DR: In this article, the reliability-based design optimization is defined as a multi-objective design optimization problem: one design objective is to maximize the system performance; another is to minimize the performance variance.
Dissertation
Caractérisation thermomécanique, modélisation et optimisation fiabiliste des packages électroniques
TL;DR: In this paper, the authors propose a method for analyzing the performance and the fiabilite of the fabrication structure of packages electroniques, based on the recommendation of the Joint Electron Device Engineering Council (JEDEC).