Evaluation of quality defining attributes of reinforced cement concrete constructions using analytic hierarchy process

This research, which has significant implications for the quality of reinforced cement concrete (RCC) constructions, employed an analytic hierarchy process (AHP) and questionnaire surveys. The survey was validated by 10 industry experts, academics, and consultants which included demographic information as well as Likert scale-based closed-ended questions. The selection of 33 quality attributes was informed by a literature review. Following validation, a comprehensive survey was conducted via email and Google Forms, incorporating suggestions from respondents to enhance its effectiveness. The Likert scale survey gathered responses from academics, consultants, contractors, and industry experts on material and construction quality. Descriptive and inferential statistical analyses verified reliability, while the AHP analysis determined attribute weight. The study analyzed 129 responses from 380 participants, with 85 responses selected for further analysis. The mean scores for grading, particle shape, surface texture, strength, and water absorption were 8.95, 8.36, 7.34, 9.34, and 7.98, respectively. Inferential statistical analysis showed that Cronbach's alpha ranged from 0.80 to 0.95, indicating reliability and consistency in the responses. The AHP model was used to evaluate the impact of attributes like particle shape, strength, and tensile strength on RCC quality. Variations in the quality of constituent materials had a significant impact on the quality of ready-mixed concrete. These variations also affected the workability of the concrete, and experts recommended water ponding as the most effective curing method. The proposed AHP model underwent sensitivity analysis using the Pearson correlation coefficient on five data sets with varying Likert scale values. The model proved satisfactory, as indicated by a Pearson correlation coefficient of 0.8708. This investigation, with its robust methodology and comprehensive findings, provides a foundation for understanding and establishes a framework for assessing the overall quality of RCC constructions.