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It is very tiresome for a practiser to detect the best feasible sizing design of structural members including reinforced concrete columns that is a highly nonlinear and complicated structural engineering optimization problem. This is due to such a design is practically conducted via conventional trial-and-error computing methods in which resistance to external loads, cost efficiency, and aesthetic factors, etc. have to be considered. This study focuses on minimizing the design cost of primarily proposed reinforced concrete column design problem via three overnew swarm-based optimizers such as Coati Optimization Algorithm, Fox Optimizer and Pelican Optimization Algorithm (POA) that are firstly utilized for this purpose. In this regard, the type of steel rebar distribution, the characteristic strength of the concrete, the height and width of the column section, and the number and diameter of the rebars are treated as discrete design variables of the newly proposed complex reinforced concrete column design cost optimization problem. In solution, the design requirements specified in practice code provisions should also be met. Here, Turkish Building Earthquake Code 2018 specifications are considered as practice structural design constraints. Consequently, the algorithmic performances of three overnew swarm-based metaheuristic optimization algorithms are compared and evaluated in detail. Amongst them, the POA shows most fruitful algorithmic design solution performance. [ABSTRACT FROM AUTHOR]

The structural performance of standard steel sections in long-span constructions gradually deteriorates due to wider and slighter webs that tend to buckle. This is the characteristic problem of plane webs. Corrugated steel web plates allow a considerable reduction of weight and increasing the web capacity of the beam. The experimental test results of optimal designed corrugated web beams, fortifying thin-walled steel girders without stiffeners, under load conditions, have been compared with the 3-D plane strains finite elements (FE) model in this paper. The span of fabricated corrugated web beams (CWB) is chosen as 5 m. These optimally designed CWB are exposed to a single concentrated loading, two-point loading, and partially distributed loading, respectively. The design methods for CWB are firefly optimization and hunting search algorithms. The implementation of design constraints is based on the EUROCODE, DIN, and DAST-Ri. 015 code provisions. The load-displacement curves, the residual load capacity, and the failure form of eighteen tested corrugated web beams are inquired in depth along the experimental process. The structural analysis software ANSYS is used for the simulation of the experimental study, the verification of all test results, and the investigation of the behavior of failure forms. [ABSTRACT FROM AUTHOR]

In this study, to improve the algorithmic performance of standard grasshopper optimization algorithm (GOA) that mimics the foraging characterizations of grasshoppers as in swarms, four modified versions of which are proposed to solve large-scale real-size complex both truss and frame type steel structures. All proposed GOA encoded are supplied reciprocatively data transfer with structural analysis software (SAP2000) to easily get the structural responses via open application programming interface functions. Initially, the algorithmic performances of standard GOA and its proposed modified versions are evaluated on two small-size benchmark engineering design problems, namely pressure vessel and grain train design problems. And then, a 160-bar space steel pyramid, a 693-bar space braced steel barrel vault, and a 455-member spatial braced steel frame are considered as large-scale real-size structural design problems. These structures are optimally designed to reach the best feasible economic structures with minimum design weights while satisfying the structural behavior limitations such as displacement, drift, strength, and stability that are taken from specifications of the American Institute of Steel Construction-Load and Resistance Factor Design. Consequently, the performances of all proposed GO algorithms in finding the optimum designs of large-scale real-size steel structures are compared and evaluated in detail. [ABSTRACT FROM AUTHOR]

Web-expanded steel beams (WESBs) are an excellent example of technological progress in the construction industry. The objective of this research is to compare the flexural strength of optimally designed geometrically diverse WESBs, including castellated, cellular, and angelina types. First, the minimum design weights of these three different WESB types are determined using nature-inspired harmony search (HSA) and particle swarm optimization techniques (PSO), according to the ANSI/AISC-360 and Eurocode practical design rules. Subsequently, a comprehensive experimental procedure was carried out to investigate the load-carrying capacity and failure modes of eighteen new generation simply supported WESBs, which were optimally designed. Scale models of the tested beams, originally made of steel sections with I-profiles, were subjected to various external loads in the reaction frame laboratory. The experimental results confirmed that angelina beams performed better than castellated and cellular beams under all loading conditions. Finally, a three-dimensional finite element analysis was performed for each specimen. These numerical verification analyses, performed using ANSYS Workbench, considered both geometric and material nonlinearities to validate realistic laboratory test results. • New Generation Beams in Steel Construction Technology. • Different Types of Web-expanded Beams. • Design and Load Capacity of Castellated Beams. • Design and Load Capacity of Cellular Beams. • Failure Types of Perforated Beams. • Finite Element Analysis of Web-expanded Steel Beams. • Optimum Design of New Generation Steel Beams. [ABSTRACT FROM AUTHOR]

Correction to: Neural Computing and Applications https://doi.org/10.1007/s00521-022-07196-3 Unfortunately, the article has been published online with incorrect reference citations. By the way, the citation numbering in the "References" list is correct and only the citation numbering within the PDF file has been corrected in the original publication of the article. [Extracted from the article]