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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Dissertation
Probabilistic methods for assessing the performance of offshore pipelines condition monitoring systems
TL;DR: It is proposed to use a probabilistic approach to assess the performance of the leak detection monitoring system since it allows the incorporation of any uncertainties or random variabilities that may exist in the assessment.
Journal ArticleDOI
Effect of Shock Wave on Reliability of Buried Pipelines
Ouk Sub Lee,Dong Hyeok Kim +1 more
TL;DR: In this article, the effects of varying distribution type of random variables and environmental, operational, and design random variables influenced by a shock wave caused from various origins on the failure probability are systematically investigated using the first order reliability method (FORM) for buried pipeline.
Proceedings ArticleDOI
Probabilistic Sensitivity Analysis of Solid Propellant Mechanical Properties for the Structural Assessment Under Ignition Pressurization
TL;DR: In this paper, a probabilistic method is employed for the structural assessment of the solid propellants subjected to ignition pressure loading, and the maximum stress and strain values induced on the propellant are computed by performing finite element analyses.
A Heuristic Framework for Reliability Based Optimization of Laminated Composite Structures
TL;DR: The problem of structural optimization of laminated composite materials with reliability constraint using a genetic algorithm and two types of neural networks is addressed in this paper.
Journal ArticleDOI
Effects of Various Types of Distribution on Probabilistic Method and FAD
Ouk Sub Lee,Dong Hyeok Kim +1 more
TL;DR: In this paper, the reliability estimation of pipeline is performed in accordance with the probabilistic methods such as the first-order reliability method and the SORM (second order reliability method).
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.