AHP-Based Evaluation Model for Optimal Selection Process of Patching Materials for Concrete Repair: Focused on Quantitative Requirements

International Journal of Concrete Structures and Materials, Jun 2012

The process of selecting a repair material is a typical one of multi-criteria decision-making (MCDM) problems. In this study Analytical Hierarch Process was applied to solve this MCDM problem. Many factors affecting a process to select an optimal repair material can be classified into quantitative and qualitative requirements and this study handled only quantitative items. Quantitative requirements in the optimal selection model for repair material were divided into two parts, namely, the required chemical performance and the required physical performance. The former is composed of alkali-resistance, chloride permeability and electrical resistivity. The latter is composed of compressive strength, tensile strength, adhesive strength, drying shrinkage, elasticity and thermal expansion. The result of the study shows that this method is the useful and rational engineering approach in the problem concerning the selection of one out of many candidate repair materials even if this study was limited to repair material only for chloride-deteriorated concrete.

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AHP-Based Evaluation Model for Optimal Selection Process of Patching Materials for Concrete Repair: Focused on Quantitative Requirements

Jeong-Yun Do Doo-Kie Kim The process of selecting a repair material is a typical one of multi-criteria decision-making (MCDM) problems. In this study Analytical Hierarch Process was applied to solve this MCDM problem. Many factors affecting a process to select an optimal repair material can be classified into quantitative and qualitative requirements and this study handled only quantitative items. Quantitative requirements in the optimal selection model for repair material were divided into two parts, namely, the required chemical performance and the required physical performance. The former is composed of alkali-resistance, chloride permeability and electrical resistivity. The latter is composed of compressive strength, tensile strength, adhesive strength, drying shrinkage, elasticity and thermal expansion. The result of the study shows that this method is the useful and rational engineering approach in the problem concerning the selection of one out of many candidate repair materials even if this study was limited to repair material only for chloride-deteriorated concrete. 1. Introduction Recently, many repair materials which have long been used in concrete repair work have their own characteristics, applications, advantages, and limitations. When selecting materials for engineering designs, we must have a clear understanding of the functional requirements for each individual component. In selecting materials for an application, technological considerations of material characteristics are important. The economic aspects of materials and cost of manufacturing are equally important. Basically, the more service life of concrete repaired with some material can obtain some accompanying benefit like cost and resource savings etc. (Beushausen and Alexander 2007; Chawalwala 1999; Chen 1994; Mailvaganam 2001). Long service life of concrete repairs, to a large degree, depends on correct choice and use of repair materials. In recent a large number of different proprietary brands of repair materials have been introduced. They include cementitious, polymer-based and polymer-modified cementitious materials. As explained in Fig. 1, the precise formulation of the materials varies from one supplier to another, and even properties may vary significantly within one family group. Generally, repair materials similar to the concrete substrate or easily available repair materials or the material with which the user is familiar have been applied to the repair work with being wrongly regarded to be the optimal materials. Additionally, just a few materials are misunderstood into being better materials among various concrete repair materials available. This can cause a problem in the repair work in terms of the qualitative performance as well as the quantitative performance (Cusson and Mailvaganam 1996; Do 2009; Emmons et al. 2000; Emmons 1995; ICRINo.320.2R 2009; Keoleian et al. 2005; Kosednar and Mailvaganam 2005; Nabhan 2007; Singh 2005; Vaysburd et al. 2000; Vaysburd 2000). Namely when selecting materials for repair design, a clear understanding of the functional requirements for each repair application is required and various important criteria or attributes need to be considered. Repair material selection Repair like with like Familiar or easy to get Misunderstanding only few materials as almighty materials Selecting according to a simple knowledge or criteria Dissatisfaction of an orderors requirements Not successful repair work Hindering the active application of innovative materials and technology Fig. 1 Current state of repair work and its anticipated effect. Fig. 2 The scope of this study and hierarchy structure of performance criteria affecting repair materials selection problem. attribute is defined as an attribute that influences the selection of a repair material for a given application. These criteria include: physical properties, electrical properties, mechanical properties, chemical properties, manufacturing properties, material cost, material impact on environment, aesthetics, recycling, etc. (Do 2009; Vaysburd et al. 2000; Vaysburd et al. 2000; ACI546.3R-06 2006; ACI546R-04 2004; Al-Zahrani et al. 2003; Rizzo and Sobelman 1989). The selection of an optimal material for repair application from among two or more alternative materials on the basis of two or more criteria is a multiple criteria decision making (MCDM) problem. Various approaches to this problem had been proposed in the past to help address the issue of material selection and the detailed explanations about this are in the following chapter 2. Liao (1996) presented a fuzzy multi-criteria decision making method for material selection. However, the method is complicated and requires much more computation. Ashby (2000, 2005; Ashby and Johnson 2002) proposed multi-objective optimization in materials design and selection using utility functions. Even though the method is simple but it is not efficient only to be useful for initial screening (...truncated)


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Jeong-Yun Do, Doo-Kie Kim. AHP-Based Evaluation Model for Optimal Selection Process of Patching Materials for Concrete Repair: Focused on Quantitative Requirements, International Journal of Concrete Structures and Materials, 2012, pp. 87-100, Volume 6, Issue 2, DOI: 10.1007/s40069-012-0009-9