The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/6215b13f-5894-4844-adef-b51c7f81d169

Fatehi-Nobarian, Bahador; Negarestani, Mohammad Nader (2025): Structural Members in RC Frames Using Meta-Heuristic Method. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/6215b13f-5894-4844-adef-b51c7f81d169.v1

Categories

• Construction Design
• Building Management and Services
• Construction

Keywords

Construction Management Multi-Objective GW Algorithm RC Frames Reinforced Concrete Structure Weight

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

Export as...

RefWorks BibTeX Reference Manager Endnote DataCite NLM DC CFF

by Bahador Fatehi-Nobarian , Mohammad Nader Negarestani

Water resources have long been a critical global concern due to their limited availability and vital role in human civilization—issues exacerbated by population growth and economic development. Among the sectors with significant indirect water consumption is the construction industry. This study investigates the relationship between structural weight and virtual water consumption in buildings with Intermediate Reinforced Concrete Moment-Resisting Frames. Using a multi-objective optimization approach with weight and virtual water as the objective functions, the Grey Wolf Optimizer was employed.

History

• 2025-08-29 first online, published, posted

Publisher

4TU.ResearchData

Format

.xslx

Organizations

Department of Civil Engineering, Ara.C., Islamic Azad University, Jolfa, Iran