Show simple item record

contributor authorKeprate, Arvind
contributor authorChandima Ratnayake, R. M.
contributor authorSankararaman, Shankar
date accessioned2017-11-25T07:18:56Z
date available2017-11-25T07:18:56Z
date copyright2017/16/8
date issued2017
identifier issn0892-7219
identifier otheromae_139_06_061401.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4235503
description abstractThis paper examines the applicability of the different surrogate-models (SMs) to predict the stress intensity factor (SIF) of a crack propagating in topside piping, as an inexpensive alternative to the finite element methods (FEM). Six different SMs, namely, multilinear regression (MLR), polynomial regression (PR) of order two, three, and four (with interaction), Gaussian process regression (GPR), neural networks (NN), relevance vector regression (RVR), and support vector regression (SVR) have been tested. Seventy data points (consisting of load (L), crack depth (a), half crack length (c) and SIF values obtained by FEM) are used to train the aforementioned SMs, while 30 data points are used for testing. In order to compare the accuracy of the SMs, four metrics, namely, root-mean-square error (RMSE), average absolute error (AAE), maximum absolute error (MAE), and coefficient of determination (R2) are used. A case study illustrating the comparison of the prediction capability of various SMs is presented. python and matlab are used to train and test the SMs. Although PR emerged as the best fit, GPR was selected as the best SM for SIF determination due to its capability of calculating the uncertainty related to the prediction values. The aforementioned uncertainty representation is quite valuable, as it is used to adaptively train the GPR model (GPRM), which further improves its prediction accuracy and makes it an accurate, faster, and alternative method to FEM for predicting SIF.
publisherThe American Society of Mechanical Engineers (ASME)
titleComparison of Various Surrogate Models to Predict Stress Intensity Factor of a Crack Propagating in Offshore Piping
typeJournal Paper
journal volume139
journal issue6
journal titleJournal of Offshore Mechanics and Arctic Engineering
identifier doi10.1115/1.4037290
journal fristpage61401
journal lastpage061401-10
treeJournal of Offshore Mechanics and Arctic Engineering:;2017:;volume( 139 ):;issue: 006
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record