In this paper an Artificial Neural Network (ANN) model is developed for the prediction of the
ultimate compressive load of rectangular Concrete Filled Steel Tube (CFST) columns, taking …

The present paper aims to develop an Artificial Neural Network (ANN) formula to predict the
lateral-torsional buckling (LTB) resistance of slender steel cellular beams. A finite element …

This study presents an advanced framework for modeling the lateral-torsional buckling
behavior of cellular steel beams, which combines hybrid intelligent models with numerical …

Cellular materials can be designed to achieve mechanical properties with low weight.
Among them, hollow spheres have been investigated since modern manufacturing methods …

This paper deals with the response of so-called “cellular members” against lateral torsional
buckling. These beams comprising regularly-spaced circular web openings are especially …

Contemporary process of structure designing takes into account the requirements for the
structural load-bearing capacity, parameters in terms of serviceability, as well as safety and …

The present paper investigates the lateral torsional buckling resistance of cellular steel
beams numerically. Such beams are quite sensitive to lateral instability owing to a …

The assessment of a ship's ability to withstand environmental loads is very crucial. This
research focuses on the strength assessment of 600 TEU container ship hulls against …

The results of experimental research and numerical calculations pertaining to the
determination of critical temperature value of steel plate girders of slender cross section …

New developments in building construction have been observed to attain sustainable
design criteria and the efficient use of raw materials, as steel is an example. This led to an …