A Multi-Criteria Decision-Making Method to Compare Fiber reinforced Concrete Mixes

Abstract

Concrete mix design is a complex process that requires balancing multiple, and often conflicting, criteria such as structural performance, durability, environmental impact, and cost-efficiency. In recent years, various research studies have explored the application of Multi-Criteria Decision-Making (MCDM) methods to address this challenge. Building upon this body of work, the objective of this thesis is to develop an integrated decision-support tool that enables engineers to design concrete mixes tailored to specific project requirements and application scenarios. The proposed tool incorporates a structured evaluation framework based on two widely recognized MCDM techniques: the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). A key focus of this study is on establishing accurate and scenario-sensitive weights for the evaluation criteria. This is achieved through a dual approach: (1) expert-based weighting using AHP surveys conducted among experienced structural engineers, and (2) simulation-based weighting derived from modeling structural elements—such as columns, beams, and shear walls—using COMSOL Multiphysics software. Recognizing that the selection of an appropriate MCDM method is crucial and context-dependent, this research highlights the importance of aligning the method with the specific decision-making environment. Furthermore, to enhance the tool’s practical applicability, predefined scenario templates for different applications—such as high-rise buildings, seismic retrofits, and industrial facilities—are developed. By integrating both theoretical and practical perspectives, this research provides engineers with a reliable and efficient tool for optimizing concrete mix designs. The tool not only streamlines the decision-making process but also minimizes time, effort, and the risk of suboptimal choices, ultimately contributing to more sustainable and effective construction practices.