In this work, a localizing gradient damage model (LGDM) based on the generalized
micromorphic theory is adopted to investigate the quasi-brittle fracture behaviour of concrete …

Data-driven models utilizing powerful artificial intelligence (AI) algorithms have been
implemented over the past two decades in different fields of simulation-based engineering …

The design of pile foundations that are expected to develop significant lateral loading is a
complex procedure that requires the development of objective and accurate design formulae …

This paper discusses a framework for predicting the flexural strength of prestressed and non-
prestressed FRP reinforced T-shaped concrete beams using soft computing techniques. An …

Abstract Machine learning technique is recently opening new opportunities to identify the
complex shear transfer mechanisms of reinforced concrete (RC) beam members. This study …

This manuscript employs a highly efficient artificial intelligence (AI) technique for machine
learning (ML) through artificial neural networks (ANNs) and introduces a novel numerical …

Horizontally curved steel I-beams exhibit a complicated mechanical response as they
experience a combination of bending, shear, and torsion, which varies based on the …

The fundamental period of structures is an important parameter to consider when designing
structures in seismic-prone areas. Currently, the formulae available in the international …

The design and analysis of structures is performed with the use of national and international
design codes that usually suggest the use of semi-empirical formulae. Often the formulae …

Currently, there is no standardized method nor a reliable and easy to implement analytical
relationship for obtaining the section rotations of horizontally curved steel I-beams that could …