We are investigating effective tools for implementing engineering education on subloading surface theory, which is the cutting edge of elastoplasticity theory. We have shown that writing code in Python is an effective way for students who are aiming to understand and use the elastoplasticity of materials to quickly overcome the difficult aspects of the latest theory of subloading surface theory, and to develop the ability to freely examine and develop the theory. For example, in element calculations of the elastoplastic coefficient matrix, it was shown that the tensor product of two vectors can be expressed in np. outer and its appearance is the same as the theoretical formula. This shows that the theoretical formula and its calculation results can be understood as one, and it can be said that it provides an environment that is easy to lead to the development of new theoretical formulas.
Masanori Hashiguchi (Wed,) studied this question.