Multi-objective decision-making supporting system of maintenance strategies for deteriorating reinforced concrete buildings

Real Estate Property Maintenance Optimization Based on Multiobjective Multidimensional Knapsack Problem

“…The proposed model assesses each component on the different decision criteria of the decision maker. Several decision‐maker criteria are proposed in the literature: conformity with the regulation, availability of the equipment, and user satisfaction (Taillandier et al., ); financial cost and gain, safety for user, serviceability, and maintenance times (Chiu and Lin, ); durability of the equipment, quality of use, costs involved, disabled access, and safety conditions for user (Flores‐Colen and de Brito, ); cost equivalent, energy saving, embodied emission incurred (Ibn‐Mohammed et al., ), etc. The choice of the criteria can depend on technical information and must be the result of discussion between technical experts and managers.…”

“…The multidimensional knapsack, as many other combinatorial optimization problems, was intensively investigated within metaheuristics at the end of the 1980s to the beginning of the 1990s (Fréville, ). These last decades, in addition to the classically used evolutionary algorithms (GA, NSGA2, and SPEA, see Lust and Teghem, ), several metaheuristics are used to solve the multidimensional knapsack problem: human learning optimization (Wang et al., ), firefly (Baykasoğlu and Ozsoydan, ), scatter search (Gomes da Silva, ), ant colony optimization (Kong et al., ), fruit fly optimization (Wang et al., ), PSO (Kong and Tian, ; Hembecker et al., ; Labed et al., ; Bansal and Deep, ; Bonyadi and Michalewicz, ; Chih, ), etc. In addition, based on the “no free lunch theorem” (Wolpert and Macready, ), stating that any algorithm is not better than all the others for any problem of optimization, the PSO that is easy to tune has been used as search algorithm.…”

“…Different approaches, methods, and tools for helping the real estate property manager in maintaining the buildings have been proposed in scientific literature. But these methods are confronted with four drawbacks corresponding four different ways to deal with complexity: (1) the limitation to a specific field as concrete buildings (Chiu and Lin, ) or the frontage renovations (Flores‐Colen and de Brito, ), (2) the use of a single criterion (Zitrou et al., ; Morelli et al., ), (3) the limitation to a building and not to a set of buildings (Lounis and Vanier, ), and (4) the limitation to a few number of alternatives that induces a comparison of renovation alternatives rather than referring to the logic of the renovation action plan (Kutut et al., ; Ibn‐Mohammed et al., ; Zhang and Gao, ; Karydas and Gifun, ). The method REMIND based on an interactive approach (Taillandier et al.…”

A cognitive approach for the multi-objective optimization of RC structural problems

“…Metaheuristics have been used as an MOO technique in construction projects [6]. Chiu and Lin [7] maximized the maintenance strategies and minimized the life cycle cost, the failure probability, the cracking probability of concrete covers, and the maintenance times of RC buildings. Paya et al [8] optimized RC building frames in terms of constructability, economic cost, environmental impact, and overall safety.…”

State-of-the-art review of cathodic protection for reinforced concrete structures

“…Excessive corrosion can be dangerous and costly (Chiu and Lin, 2014;Higuchi and Macke, 2008;Val and Stewart, 2005). The annual cost of corrosion worldwide is estimated to be 3-4% of the gross domestic product (GDP) of industrialised countries (CIA, 2009;Schmitt, 2009), with US$17 billion annual maintenance investment reportedly needed to improve bridge conditions in the USA (ASCE, 2009).…”