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dc.contributor.authorKeprate, Arvind
dc.contributor.authorDonthi, Nikhil
dc.date.accessioned2022-03-30T13:38:01Z
dc.date.available2022-03-30T13:38:01Z
dc.date.created2022-01-25T12:11:24Z
dc.date.issued2021-10-11
dc.identifier.isbn978-0-7918-8512-3
dc.identifier.urihttps://hdl.handle.net/11250/2988645
dc.description.abstractWhile performing fatigue reliability analysis of the butt-welded joints it is vital to estimate the Stress Concentration Factor at these joints. A common approach adopted by industry to estimate the SCF at weld toes is to perform Finite Element Analysis (FEA) of the welded joints for different pipe sizes, flanges, valves etc. The SCF are calculated for each size by separately when required and are very time consuming. Although FEA is known for its accurate SCF calculation, but due to its high computational expense and time-consumption, SCF evaluation for different parameters makes the aforementioned method quite laborious. As an alternative response surface models (RSM) may be used for accurate estimation of SCF. The two basic steps in constructing a RSM are training and testing. The first corresponds to fitting a model to the intelligently chosen training points, while the second step involves comparing the predictions of the RSM to the actual response. This paper examines the applicability of 12 different RSMs for estimating SCF. The training and testing data is generated using FEA in ANSYS. In order to compare the accuracy of the RSMs, three metrics, namely, Root Mean Square Error (RMSE), Maximum Absolute Error (AAE), and Explained Variance Score (EVS) are used. A case study illustrating the applicability of the proposed approach is also presented.en_US
dc.language.isoengen_US
dc.publisherAmerican Society of Mechanical Engineersen_US
dc.relation.ispartofASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering Volume 2: Structures, Safety, and Reliability
dc.relation.ispartofseriesASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering;Volume 2: Structures, Safety, and Reliability
dc.subjectResponse surface methodologyen_US
dc.subjectWelded jointsen_US
dc.subjectFinite element analysesen_US
dc.subjectEvent history analysesen_US
dc.subjectFittingsen_US
dc.subjectPipe sizesen_US
dc.titlePrediction of Stress Correction Factor for Welded Joints Using Response Surface Modelsen_US
dc.typeConference objecten_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2017 by ASMEen_US
dc.source.articlenumberOMAE2021-62948en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doihttps://doi.org/10.1115/OMAE2021-62948
dc.identifier.cristin1989393
dc.source.volume40en_US
dc.source.issue2en_US
dc.source.pagenumber1-8en_US


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