A state-of-the-art review is presented on design and research related to progressive
collapse of steel structures under fire conditions. The influence of load ratios, strength of …

The literature on predicting the load-carrying capacity of symmetrical concrete-filled steel
tube (Sy-CFST) columns using different machine learning methods has mainly focused on a …

In this paper, a machine-learning optimisation framework for cold-formed steel (CFS) face-to-
face built-up columns was proposed using Deep Belief Network (DBN) and Genetic …

One of the main challenges in using reinforced concrete materials in structures is to
comprehend their fire resistance. The assessment of fire resistance can be performed in a …

Artificial Intelligence (AI) technology has emerged as a powerful tool for addressing various
complex issues within engineering structures. Accurately assessing the fire resistance …

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 …

Traditional local buckling design methods of stainless steel I-sections in fire generally adopt
the effective width method. However, in order to precisely consider the influence of fire …

The stability of steel columns is difficult to predict accurately due to uncertain initial defects
such as geometric imperfections and residual stress. To address this issue, we propose a …

Failure typically occurs during sintering due to high thermal stress and poor strength of LiH
ceramics. The short sintering time has shown to be beneficial in preventing excessive grain …

Trusses and bracing systems are usually constructed from monosymmetric and built-up
cross-sections, which under compression stresses may buckle in torsional or flexural …