This review article highlights state-of-the-art data-driven techniques to discover, encode,
surrogate, or emulate constitutive laws that describe the path-independent and path …

For solving the computational solid mechanics problems, despite significant advances have
been achieved through the numerical discretization of partial differential equations (PDEs) …

Recurrent neural networks could serve as surrogate material models, removing the gap
between component-level finite element simulations and numerically costly microscale …

The development of highly accurate constitutive models for materials that undergo path-
dependent processes continues to be a complex challenge in computational solid …

Constitutive models dealing with the thermal and visco-plasticity of metals have seen wide
applications in the automotive industry. A basic plasticity and fracture characterization of a …

The determination of mechanical properties plays a crucial role in utilizing composite
materials across multiple engineering disciplines. Recently, there has been substantial …

With an emphasis on the development of machine learning-based constitutive modeling
approaches, the state of constitutive modeling techniques and applications for metals and …

The stress-life (SN) curve is a fundamental aspect in fatigue analysis. However, fatigue
testing using SN curve is very costly and time-consuming. To solve this, a novel method to …

The composite laminates with circular holes find numerous applications in aerospace,
automobile manufacturing and other fields due to the design and assembly of structural …

In this study, a novel framework was presented for accelerating the prediction of the
mechanical response of honeycomb structures under dynamic crushing, using 2D cells to …