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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About the sbra method applied in mechanics of continental plates o aplikaci metody sbra v geomechanice kontinentálních desek
Ivo Wandrol,Pavel Kalenda +1 more
TL;DR: In this article, the simulation-based reliability assessment (SBRA) method is applied to the model of the behaviour of the lithosphere of the Earth (geomechanical model).
A Dual Regime Reactive Transport Model for Simulation of High Level Waste Tank Closure Scenarios - 13375
S. Sarkar,David S. Kosson,Kevin G. Brown,Andrew C. Garrabrants,Hans Meeussen,Hans A. van der Sloot +5 more
TL;DR: In this article, a numerical simulation framework is presented for estimating evolution of pH and release of major species from grout within high-level waste tanks after closure, which can be used as part of the performance assessment process for evaluating potential risks from leaching of a cracked tank containing elements of human health and environmental concern.
Journal ArticleDOI
Effects of defects in composite wind turbine blades – Part 3: A framework for treating defects as uncertainty variables for blade analysis
TL;DR: The results indicate that characterization of defects and reduction of design uncertainty is possible for wind turbine blades.
Journal Article
Target level of reliability for design of bridge foundations and approach embankments using LRFD
TL;DR: In this article, the authors propose an approach to establish target levels of reliability from combined consideration of socially acceptable risk and economic optimization, which is generally represented through FN curves, which are then used to calculate the level of reliability.
Dissertation
Optimizing Maintenance and Replacement Activities for Water Distribution Pipelines
TL;DR: In this article, a likelihood of failure model was proposed to predict pipeline break rates or future condition. But the model was not applicable for two neighboring medium-sized utilities with limited numbers of breaks in pipe material classes.
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.