Prediction of Stress Correction Factor for Welded Joints Using Response Surface Models
While 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...
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Online Access: | https://hdl.handle.net/11250/2988645 https://doi.org/10.1115/OMAE2021-62948 |
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fthsosloakersoda:oai:oda.oslomet.no:11250/2988645 2023-06-11T04:07:25+02:00 Prediction of Stress Correction Factor for Welded Joints Using Response Surface Models Keprate, Arvind Donthi, Nikhil 2022-01-25T12:11:24Z application/pdf https://hdl.handle.net/11250/2988645 https://doi.org/10.1115/OMAE2021-62948 eng eng American Society of Mechanical Engineers ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering Volume 2: Structures, Safety, and Reliability ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering;Volume 2: Structures, Safety, and Reliability urn:isbn:978-0-7918-8512-3 https://hdl.handle.net/11250/2988645 https://doi.org/10.1115/OMAE2021-62948 cristin:1989393 © 2017 by ASME OMAE2021-62948 40 2 1-8 Response surface methodology Welded joints Finite element analyses Event history analyses Fittings Pipe sizes Conference object 2022 fthsosloakersoda https://doi.org/10.1115/OMAE2021-62948 2023-05-10T22:39:07Z While 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. publishedVersion Conference Object Arctic OsloMet (Oslo Metropolitan University): ODA (Open Digital Archive) Volume 3: Materials Technology |
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OsloMet (Oslo Metropolitan University): ODA (Open Digital Archive) |
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fthsosloakersoda |
language |
English |
topic |
Response surface methodology Welded joints Finite element analyses Event history analyses Fittings Pipe sizes |
spellingShingle |
Response surface methodology Welded joints Finite element analyses Event history analyses Fittings Pipe sizes Keprate, Arvind Donthi, Nikhil Prediction of Stress Correction Factor for Welded Joints Using Response Surface Models |
topic_facet |
Response surface methodology Welded joints Finite element analyses Event history analyses Fittings Pipe sizes |
description |
While 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. publishedVersion |
format |
Conference Object |
author |
Keprate, Arvind Donthi, Nikhil |
author_facet |
Keprate, Arvind Donthi, Nikhil |
author_sort |
Keprate, Arvind |
title |
Prediction of Stress Correction Factor for Welded Joints Using Response Surface Models |
title_short |
Prediction of Stress Correction Factor for Welded Joints Using Response Surface Models |
title_full |
Prediction of Stress Correction Factor for Welded Joints Using Response Surface Models |
title_fullStr |
Prediction of Stress Correction Factor for Welded Joints Using Response Surface Models |
title_full_unstemmed |
Prediction of Stress Correction Factor for Welded Joints Using Response Surface Models |
title_sort |
prediction of stress correction factor for welded joints using response surface models |
publisher |
American Society of Mechanical Engineers |
publishDate |
2022 |
url |
https://hdl.handle.net/11250/2988645 https://doi.org/10.1115/OMAE2021-62948 |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
OMAE2021-62948 40 2 1-8 |
op_relation |
ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering Volume 2: Structures, Safety, and Reliability ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering;Volume 2: Structures, Safety, and Reliability urn:isbn:978-0-7918-8512-3 https://hdl.handle.net/11250/2988645 https://doi.org/10.1115/OMAE2021-62948 cristin:1989393 |
op_rights |
© 2017 by ASME |
op_doi |
https://doi.org/10.1115/OMAE2021-62948 |
container_title |
Volume 3: Materials Technology |
_version_ |
1768380567609409536 |