Introducing green structure based on the pattern of TOPSIS method by grey wolf algorithm
The surge in construction expenditures on the one hand and environmental pollution on the other hand have led to the suggestion of native structures in accordance, which is common in advanced countries. In this research, the meta-heuristic method is used to select the optimal design based on the objective functions determined in four structural frames in the study area of Tabriz metropolis. The target functions in this research include the parameters of cost and construction time, CO 2 emitted due to the production of materials and the weight of the structure, which was considered based on the type of performance and the effect of each of these functions in the studied frames. As a result, the minimum and maximum construction time is 20.95% and 30.19%, respectively, of the total construction time of all structures related to Intermediate Steel Moment-Resisting Frame and Intermediate Reinforced Concrete Moment-Resisting Frame, as well as Intermediate Steel Moment-Resisting Frame with Special Concentrically Braced Frame with a value of 20/36% The lowest amount of CO 2 emission caused by the production of materials among the studied frames was allocated to it. It was determined based on the target functions and introduced as a green and environmentally friendly structure.
Authors
- Javad Majrouhi Sardroud (ORCID: https://orcid.org/0000-0003-4037-5782)
- Bahador Fatehi-Nobarian (ORCID: https://orcid.org/0000-0003-3535-9710)
- Hooman Hajikandi (ORCID: https://orcid.org/0000-0001-8961-492X)
- Mohammad Nader Negarestani
Institutions
- Islamic Azad University, Tehran (IR)
- Islamic Azad University Central Tehran Branch (IR)
Publication Details
- Journal
- Proceedings of the Institution of Civil Engineers - Engineering Sustainability
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1680/jensu.23.00096
- Citations
- 2
- Primary Topic
- Sustainable Building Design and Assessment
- Type
- article
- Field-Weighted Citation Impact
- 0.53