Decision support system to select the optimum steel portal frame coverage system

Forward and reverse logistics for circular economy in construction: A systematic literature review

“…One empirical study by Ajayi et al (2017a,b) highlighted the importance of procurement in construction waste reduction and identified the key strategies employed by organizations. This concept is further solidified by several other studies that tackled more specific building materials such as steel and timber (El-Aghoury et al, 2021;Kar and Jha, 2020;Zhu et al, 2021;Zuo et al, 2009). These studies took various field studies or modeling approaches to prove the influence of supply channel selection and supplier management from the demand side upon the life-cycle performance and waste reduction of construction projects.…”

“…• LCA-based design for logistics planning Compared to some previous studies that included the biggest portion of literature in the design phase , this review finds that in the domain of logistics, only a few pieces of literature have explicitly mentioned the relationship between product/building design and logistics, all of which have been based on an LCA informed approach. Several cases have focused on the selection of specific construction methods or manufacturing options (e.g., timber and prefab components) to potentially improve logistics performance in construction, such as reducing transportation and overall life cycle environmental impact of logistics operations El-Aghoury et al, 2021;Geldermans et al, 2019;Liu et al, 2021).…”

Estimating the Strength of Bi-Axially Loaded Track and Channel Cold Formed Composite Column using Different AI-Based Symbolic Regression Techniques

“…Therefore, it is crucial to consult the appropriate design guidelines, such as AISI S100 or EN 1993-1-3, and work with a qualified structural engineer to accurately determine the biaxial capacity of cold-formed columns for a specific project [32]. Symbolic regression is a technique used in machine learning and computational intelligence to discover mathematical expressions or models that best fit a given dataset [24]. It aims to find an equation or mathematical formula that describes the relationship between input variables and the target variable [24].…”

“…There are various symbolic regression techniques available, each with own approach and algorithms. Here are few commonly used symbolic regression techniques: (a) Genetic Programming (GP): -Genetic Programming is a popular approach for symbolic regression [24]. It uses evolutionary algorithms inspired by natural selection and genetics to iteratively evolve a population of mathematical expressions [24].…”

“…Cold-formed steel columns are commonly used in construction for various applications [7]. To track and channel cold-formed columns, you will need to follow specific guidelines and best practices [24]. Here is a general overview of the process: (a) Design Considerations: -Determine the required load capacity and design parameters for the column based on structural calculations and project specifications [25].…”