This study employs soft computing techniques, including artificial neural network (ANN)
models and gene expression programming (GEP), to enhance the prediction of ultimate load …

In recent times, there has been an increasing prevalence of surrogate models and
metamodeling techniques in approximating the responses of complex systems. These …

Many full-scale experiments and numerical studies have been conducted to determine the
fire performance of cold-formed steel (CFS) walls, but these studies are expensive and time …

Despite the widespread application of data-centric techniques in Geotechnical Engineering,
there is a rising need for building trust in the artificial intelligence (AI)-driven safety …

Textile reinforced mortar composites (TRMs) experience various types of damage. In this
study, these damage mechanisms (such as cracking and non-cracking) were understood or …

The purpose of this research is to examine the effects of depth variation and exposure
duration on the combustion characterization of the Maple wood species (Acer platanoides …

Rapid failure mode identification of oil and gas pipelines can prevent catastrophic
consequences, improve fast intervention and enhance the design safety of these critical …

Machine learning (ML)-based solutions are rapidly changing the landscape of many fields,
including structural engineering. Despite their promising performance, these approaches …