Engineered interphase mechanics in single lap joints: analytical and PINN formulations

Budarapu, P. R., Kumar, S. , Khan, M. A., Rammohan, B. and Anitescu, C. (2022) Engineered interphase mechanics in single lap joints: analytical and PINN formulations. International Journal of Computational Methods, 19(8), 2143021. (doi: 10.1142/s0219876221430210)

Abstract

Adhesively bonded joints showcase non-uniform stress distribution, along their length as the load is transferred through layers of dissimilar stiffness. For efficient transfer of loads, the peak interfacial shear stress is required to be engineered. In this study, inspired by electric pulses, the interphase modulus is modified according to square, sinusoidal and triangular pulses. The variation in peak stresses with increased number of pulses up to four is also investigated. The developed analytical model is solved for the interfacial shear stresses as well as the peel stresses, using energy functional approach, through MAPLE software. The abrupt changes in modulus in square pulse graded interphase are observed to create highest interfacial shear stresses among the considered grading profiles. Furthermore, the peak interfacial stresses are observed to increase with increased number of pulses. An effective elastic modulus parameter is defined to indicate the area under the modulus profile curve. The effective modulus is found to be gradually increasing with increase number of pulses in square graded interphase. Whereas, it is constant for sinusoidal- and triangular-graded interphases. A deep machine learning-based physics informed neural network model is developed to quickly solve the developed governing differential equations. Therefore, results from the machine leaning model are compared to the analytical results.

• Item Type: Articles
• Additional Information: PRB is thankful to the Science and Engineering Research Board (SERB), Department of Science and Technology (DST), India, for funding this research through Grant number SRG/2019/001581.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Kumar, Professor Shanmugam
• Authors: Budarapu, P. R., Kumar, S., Khan, M. A., Rammohan, B., and Anitescu, C.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: International Journal of Computational Methods
• Publisher: World Scientific Publishing
• ISSN: 0219-8762
• ISSN (Online): 1793-6969
• Published Online: 04 November 2022
• Copyright Holders: Copyright © 2022 World Scientific Publishing
• First Published: First published in International Journal of Computational Methods 19(8): 2143021
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher