ML and Mechanics are completely two different fields. However, both of them works for same physical problems, failure mechanism or test results. Finite element can solve most of the structural issues through complex stiffness matrix. ML deals data of complex issues with more number of variables. The relation between ML and Mechanics are yet to be developed.
Dear Khondaker Sakil Ahmed,
Please refer to the mentioned article
Article Application of machine learning procedures for mechanical sy...
Possible. The book Soft Computing in Engineering by Prof Jamshid Ghaboussi offers a good coverage of some of the possible directions, from mechanics perspective: (https://www.routledge.com/Soft-Computing-in-Engineering/Ghaboussi/p/book/9780367657260).
K. B. Mustapha and Sachin Salunkhe , I have checked few literatures. However, it is still unknown how the empirical formula or deep correlation extracted from ML models illustrate/demonstrate the underlying physics/mechanics.
Khondaker Sakil Ahmed , I think a majority of the studies in this area point towards AI/ML playing a complementary role rather than replicating the physics/mechanics of the problem. A book that I have found useful along the "replicating the physics/mechanics" dimension is "Physics-based Deep Learning Book": https://physicsbaseddeeplearning.org/intro.html
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