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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New Approaches for Calibrating Material Factors of Reinforced Concrete Members in Korean Highway Bridge Design Code (Limit State Design) and Reliability Analysis
TL;DR: This paper brings up fallacy of material factors specified for the design of concrete members in the current Korean limit state design code for highway bridges, and proposes new material factors based on a robust optimization scheme to overcome the fallacy.
Ac 2012-2977: science for non-science majors
TL;DR: This paper focuses on developing a strategy for providing non-science majors with a basic level of scientific knowledge for successfully dealing with real world technological issues.
The concept of asymptotic coefficients of variation of structural response applied for foundation design
TL;DR: In this article, the structural response for foundations is typically a function of soil properties, sections and dimensions, and the relationship among basic variables in forming structural response could be either nonlinear or so complicated that results could be obtained from finite element analyses only.
Journal ArticleDOI
Credibly reaching a reliability target using a model initially constructed by expert elicitation
TL;DR: In this article, the authors use Bayesian Networks (BN) to evaluate risk in the manufacturing process and use a new technique named confidence level shifting to optimally reduce epistemic uncertainty in the model.
Proceedings ArticleDOI
A data-driven framework for uncertainty quantification of a fluidized bed
TL;DR: A C++ wrapper is developed to integrate an uncertainty quantification toolkit developed at Sandia National Laboratory with MFiX and is integrated with Dakota via the wrapper to obtain low order statistics of the bed height and pressure drop across the bed.