The cohesive zone law represents the constitutive traction versus separation response
along the crack-tip process zone of a material, which bridges the microscopic fracture …

We applied physics-informed neural networks to solve the constitutive relations for
nonlinear, path-dependent material behavior. As a result, the trained network not only …

This paper presents a data-driven framework based on distance functional for chemo-
mechanical cohesive interfaces to capture transient diffusion and resulting interfacial …

Composite materials and multi-material components often fail at their internal
interfaces/adhesive joints, and hence special attention should be given to such catastrophic …

Composite solid propellant is a kind of viscoelastic composite with high filling ratio and multi‐
scale composition characteristics, and its macroscopic mechanical properties strongly …

The traction-separation relationship of an interface is a critical component to understand and
model the delamination behavior of multi-layer composites in situations where large scale …

The size effect and strength discreteness observed in concrete stem primarily from its
mesoscopic heterogeneity. Despite this understanding, establishing a clear relationship …

In this paper, we presented three neural network models including deep neural network
(DNN), recurrent neural network (RNN), and long short-term memory neural network …

The optimization of traction-separation parameters within the cohesive zone model (CZM) is
crucial for accurately simulating electrode peeling failure in lithium-ion batteries. This study …

We applied physics-informed neural networks to solve the constitutive relations for
nonlinear, path-dependent material behavior. As a result, the trained network not only …