Journal
APPLIED SCIENCES-BASEL
Volume 13, Issue 17, Pages -Publisher
MDPI
DOI: 10.3390/app13179604
Keywords
analytic hierarchy process; multicriteria decision analysis; principal component analysis (PCA); reinforced concrete slab
Ask authors/readers for more resources
This paper introduces a multicriteria method to assist in selecting the most suitable structural system for slabs based on project needs and objectives. The study used the Analytic Hierarchy Process (AHP) and information from bibliographic research, expert opinion, and machine learning to determine the priority of different slab types. The analysis showed that the conventional solid slab type was the top priority, followed by other options.
The decision regarding which slab type should be used in a building is generally made by the structural engineer, considering structural efficiency and compatibility with the architectural design, as well as the costs related to the amount of material used in each option. Because of the technical responsibilities inherent to this specialty, the decision-making process neglects to encompass various other factors of consequence that influence the construction process. These considerations include productivity, the visual and aesthetic characteristics of the slab, waste generation, and thermal and acoustic comfort. This paper aims to develop a multicriteria method to assist stakeholders in selecting the most suitable structural system for slabs based on project needs and objectives. The study utilized the Analytic Hierarchy Process (AHP) and information from bibliographic research, expert opinion using the Delphi Method, and machine learning on a dataset of over 2000 previously constructed slabs to achieve this goal. The analysis showed that the conventional solid slab type was the top priority, followed by the two-way waffle slab, one-way waffle slab, solid flat slab, and waffle slab. Additionally, the proposed AHP method was effective in developing a decision-making model for companies and the construction sector.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available