Bayesian inference and model comparison for metallic fatigue data
dc.contributor.author | Babuska, Ivo | |
dc.contributor.author | Sawlan, Zaid A | |
dc.contributor.author | Scavino, Marco | |
dc.contributor.author | Szabó, Barma | |
dc.contributor.author | Tempone, Raul | |
dc.date.accessioned | 2017-06-08T06:32:26Z | |
dc.date.available | 2017-06-08T06:32:26Z | |
dc.date.issued | 2016-01-06 | |
dc.identifier.uri | http://hdl.handle.net/10754/624791 | |
dc.description.abstract | In this work, we present a statistical treatment of stress-life (S-N) data drawn from a collection of records of fatigue experiments that were performed on 75S-T6 aluminum alloys. Our main objective is to predict the fatigue life of materials by providing a systematic approach to model calibration, model selection and model ranking with reference to S-N data. To this purpose, we consider fatigue-limit models and random fatigue-limit models that are specially designed to allow the treatment of the run-outs (right-censored data). We first fit the models to the data by maximum likelihood methods and estimate the quantiles of the life distribution of the alloy specimen. We then compare and rank the models by classical measures of fit based on information criteria. We also consider a Bayesian approach that provides, under the prior distribution of the model parameters selected by the user, their simulation-based posterior distributions. | |
dc.subject | Bayesian | |
dc.title | Bayesian inference and model comparison for metallic fatigue data | |
dc.type | Poster | |
dc.contributor.department | Applied Mathematics and Computational Science Program | |
dc.contributor.department | Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division | |
dc.conference.date | January 5-10, 2016 | |
dc.conference.name | Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016) | |
dc.conference.location | KAUST | |
dc.contributor.institution | University of Texas at Austin | |
dc.contributor.institution | Universidad de la República | |
dc.contributor.institution | Washington University in St.Louis | |
kaust.person | Sawlan, Zaid A | |
kaust.person | Scavino, Marco | |
kaust.person | Tempone, Raul | |
refterms.dateFOA | 2018-06-13T15:12:19Z |
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Applied Mathematics and Computational Science Program
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Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
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Conference on Advances in Uncertainty Quantification Methods, Algorithms and Applications (UQAW 2016)