Data-Driven modeling of an elastomer bushing system under various visco-hyperelastic deformations
Publish place: 30th Annual International Conference of the Iranian Association of Mechanical Engineers
Publish Year: 1401
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ISME30_505
تاریخ نمایه سازی: 29 خرداد 1401
Abstract:
Since visco-hyperelastic materials are vastly used in different industries, a proper constitutive model plays a key role in predicting materials’ behavior. On the other hand, due to the substantial leap in data science and machine learning methods, it is beneficial to use these models to simplify the constitutive modeling procedure. This paper aims to develop a new modeling approach based on machine learning that can accurately predict the visco-hyperelastic behavior of materials in different loading conditions.
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Authors
Amirmohammad Daareyni
School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran
Mostafa Baghani
School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran