With the informatization of the building and infrastructure industry, conventional analysis
methods are gradually proving inadequate in meeting the demands of the new era, such as …

Analyzing and modeling the constitutive behavior of materials is a core area in materials
sciences and a prerequisite for conducting numerical simulations in which the material …

Enhancement of activity is one major topic related to the aging society. Therefore, it is
necessary to understand people's motion and identify possible risk factors during activity …

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

The application of artificial intelligence techniques to wearable sensor data may facilitate
accurate analysis outside of controlled laboratory settings—the holy grail for gait clinicians …

This paper examines the frame-invariance (and the lack thereof) exhibited in simulated
anisotropic elasto-plastic responses generated from supervised machine learning of …

Because of its nonlinearity and path-dependency, analysis of the elasto-plastic behavior of
the finite element (FE) model is computationally expensive. By directly learning sequential …

This contribution presents a meta-modeling framework that employs artificial intelligence to
design a neural network that replicates the path-dependent constitutive responses of …

This paper reports the Reliability-Based Design Optimization (RBDO) of post-tensioned self-
centering rocking steel frame structures with buckling-restrained bracing systems. The …

In this work, we propose a fully coupled multiscale strategy for components made from short
fiber reinforced composites, where each Gauss point of the macroscopic finite element …