RT Conference Proceedings
T1 Material Fracture Life Prediction Using Linear Regression Techniques Under High Temperature Creep Conditions
A1 Fernandez Martinez, Roberto
A1 Jimbert, Pello
A1 Barbero, Jose Ignacio
A1 Callejo, Lorena M.
A1 Somocueto, Igor
A2 Nyström, Ingela
A2 Hernández Heredia, Yanio
A2 Milián Núñez, Vladimir
AB 9–12% Cr martensitic steels are widely used for critical components of new, high-efficiency, ultra-supercritical power plants because of their high creep and oxidation resistances. Due to the time consuming effort of obtaining creep properties for new alloys under high temperature creep conditions, in both short-term and long-term testing, it is often dealt with simplified models to assess and predict the future behavior of some materials. In this work, the total time to produce the material fracture is predicted according to models obtained using several linear techniques, since this property is really relevant in power plants elements. These models are obtained based on 344 creep tests performed on modified P92 steels. A multivariate analysis and a feature selection were applied to analyze the influence of each feature in the problem, to reduce the number of features simplifying the model and to improve the accuracy of the model. Later, a training-testing validation methodology was performed to obtain more useful results based on a better generalization to cover every scenario of the problem. Following this method, linear regression algorithms, simple and generalized, with and without enhanced by gradient boosting techniques, were applied to build several linear models, achieving low errors of approximately 6.75%. And finally, among them the most accurate model was selected, in this case the one based on the generalized linear regression technique.
PB Springer Nature
SN 9783030339036
YR 2019
FD 2019-10-22
LA eng
NO Fernandez Martinez , R , Jimbert , P , Barbero , J I , Callejo , L M & Somocueto , I 2019 , Material Fracture Life Prediction Using Linear Regression Techniques Under High Temperature Creep Conditions . in I Nyström , Y Hernández Heredia & V Milián Núñez (eds) , unknown . vol. 11896 , 0302-9743 , Springer Nature , pp. 535-544 , 24th Iberoamerican Congress on Pattern Recognition, CIARP 2019 , Havana , Cuba , 28/10/19 . https://doi.org/10.1007/978-3-030-33904-3_50
NO conference
NO Publisher Copyright: © Springer Nature Switzerland AG 2019.
DS TECNALIA Publications
RD 1 jul 2024