Multi-criteria decision analysis of timber–concrete composite floor systems in multi-storey wooden buildings

Abstract

This study aims to present a multi-criteria decision analysis (MCDA) for comprehensive performance evaluation of the alternative design of timber-concrete composite (TCC) floor system. Considered objectives are serviceability and sustainability performance with associated criterion as (1) comfort class regarding springiness and vibrations, (2) architectural quality with associated criterion as open spaces, (3) environmental aspect with associated criterion as CO 2 emissions and (4) cost aspect with associated criterion as the total costs. Analytical Hierarchy Process (AHP) and Complex Proportional Assessment (COPRAS) as the methods in the multi-criteria analysis have been combined for (1) determining the weighting of criteria based on the survey results, (2) verifying the consistency ratio of decision matrix made by experts and (3) for ranking and selecting the optimal concept design among design candidates. According to the results, the TCC floor with the span length of 7.3 m belonging to comfort class A has got the highest ranking. However, sensitivity analysis indicates that the TCC floor with a 9.0 m span length belonging to comfort class A shall be selected as the optimal concept design. The study contributes by developing a complete concept design tool for TCC floor systems using AHP combined COPRAS methods to handle both beneficial and non-beneficial criteria.

Framework for Dynamic Circular Economy in the Building Industry: Integration of Blockchain Technology and Multi-Criteria Decision-Making Approach

“…Inconsistency in the decision matrix can occur if the judgements for the pairwise questions are directed to several hypothetical buyers with different types or levels of experience or different views. To ensure the consistency of the subjective judgements of the hypothetical buyer in his/her judgement for the pairwise comparisons in Table 4, the consistency ratio (CR) was evaluated using the eigenvalue problem [94]. The eigenvalue problem was solved, and the eigenvalues (λ) were calculated as the entries in the main diagonal, with λ max equal to 3.0385 serving as the highest positive eigenvalue.…”

From Trees to Skyscrapers: Holistic Review of the Advances and Limitations of Multi-Storey Timber Buildings

“…On the other hand, experimental development and numerical simulations of joints for the development of hybrid wood-steel buildings [22], joints in composite wood-concrete slabs [163,169], rigid connections in rigid laminated timber frames [278], and joints in CLT buildings [162,[166][167][168]170]. In addition, experimental tests and tools to design floors based on wood-concrete composites and their joints, in medium and large-span construction systems, are also emphasized [163,169,228,229,231,232,234].…”

New Pythagorean Entropy Measure with Application in Multi-Criteria Decision Analysis

“…For example, COPRAS was used to assess the safety of regions with COVID-19 [ 22 ], for evaluation of energy sectors sustainability [ 11 ], for supplier selection in the oil and gas industry with uncertainty, utility functions, and criteria representing performance [ 27 ]. In another study, COPRAS was combined with AHP and applied to the construction industry to assess the performance of the variant design of a timber–concrete composite (TCC) floor system [ 28 ]. The AHP method was used in that paper to determine the significance of the criteria.…”