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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Overview of reliability analysis and design capabilities in DAKOTA.
TL;DR: Reliability methods are probabilistic algorithms for quantifying the effect of uncertainties in simulation input on response metrics of interest and may employ analytic sensitivities of reliability metrics with respect to design variables that either augment or define distribution parameters for the uncertain variables.
DissertationDOI
Analysis of underground rock excavations accounting for uncertainty
TL;DR: In this paper, the authors present a list of published papers and a table of contents, including acknowledgements, tables, figures, abbreviations, and symbols, as well as abbreviations and symbols.
Journal Article
Assessment of the Seismic Vulnerability of Wall Pier Supported Highway Bridges on Priority Emergency Routes in Southern Illinois
TL;DR: In this paper, the fragility of wall pier supported highway bridges is evaluated using pushover analysis and site liquefaction fragility curves, which are then used to construct three-dimensional nonlinear numerical models.
Dissertation
Permanent settlement analysis of ballasted railway tracks - Dynamical approach
TL;DR: In this paper, a reduced scale experiment of three sleepers is proposed, where the sleepers are submitted into analytical forces of shape M by hydraulic jacks representing loads due to the passage of boogies and the essential aim is to establish a permanent settlement law for a large number of cycles depending on a dynamical parameter that can be determined by the three-dimensional numerical model.
Proceedings ArticleDOI
Probabilistic Analysis of a Thin-walled Beam with a Crack
TL;DR: In this paper, the authors present the analysis of a thin walled beam with a longitudinal crack of random location and size, and the numerical results of the reliability analysis of the beam for the reliability defined as the non-exceedance of a limit state are presented.
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.