Predicting elemental stiffness matrix of FG nanoplates using Gaussian Process Regression based surrogate model in framework of layerwise model

• Published in: Engineering analysis with boundary elements Vol. 143; pp. 779 - 795
• Main Authors: Garg, Aman, Belarbi, Mohamed-Ouejdi, Tounsi, Abdelouahed, Li, Li, Singh, Ankit, Mukhopadhyay, Tanmoy
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.10.2022
• Subjects: FG nanoplate; GPR; Machine learning; Stiffness matrix; Surrogate model; GPR; Stiffness matrix; Surrogate model; Machine learning; FG nanoplate

The accuracy of predicting the behaviour of structure using finite element (FE) depends widely on the precision of the evaluation of the stiffness matrix. In the present article, an attempt has been made to evaluate the stiffness matrix of functionally graded (FG) nanoplate using Gaussian process re...