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
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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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Proceedings ArticleDOI
System Reliability-Based Design Optimization Using MPP-Based Dimension Reduction Method
TL;DR: The most probable point (MPP)-based dimension reduction method (DRM) is proposed to use for the analytic calculation of the component probability of failure and design sensitivity analysis for the system reliability-based design optimization (RBDO) is carried out.
Proceedings ArticleDOI
Monte carlo simulation in reliability based optimization applied to multidisciplinary system design
TL;DR: The work presented in the paper deals with the incorporation of Monte Carlo Simulation techniques in Reliability Based Optimization (RBO) and a strategy for performing RBO using the axis-orthogonal simulation is presented.
Real-Time Monitoring and Prediction of Airspace Safety
Indranil Roychoudhury,Lilly Spirkovska,Matthew Daigle,Edward Balaban,Shankar Sankararaman,Chetan S. Kulkarni,Scott Poll,Kai Goebel +7 more
TL;DR: This work develops a novel model-based framework for real-time monitoring and prediction of the safety of the NAS using dynamic models of airspace operations, aircraft, and weather, along with a rigorous, mathematical treatment of uncertainty.
Journal ArticleDOI
Parametric Sensitivity Analysis for Importance Measure on Failure Probability and Its Efficient Kriging Solution
TL;DR: In this paper, the parametric sensitivity of the moment-independent importance measure (IM) on the failure probability is defined and their computational formulae derived for the purpose of identifying the influential distribution parameters.
Journal ArticleDOI
Monte Carlo Simulations of Wind Speed Data
TL;DR: In this article, a new Monte Carlo simulation procedure and nearby regional weather station data are used to predict wind speed and turbine energy using cumulative distribution function (CDF) graphs and Weibull shape and scale values developed from 1, 12, 20 and 24 years of record for each weather station.