This work presents experimental data used for evaluation of the effectiveness of decorative concrete finishes for proposed high strength mortar (HSM). The effect of different surface treatments was evaluated by absorption characteristics of the surface and comparison of abrasive damage results. Matlab Image Processing toolbox was used to evaluate capabilities of studied surfaces to maintain visual characteristics after food and household chemicals damage. The transition of the brightness intensity of the cured HSM throughout time was illustrated. The test results demonstrate that the mechanical treatment enhances the efficiency of the impregnation product both in terms of water penetration reduction and resistance to abrasive wear. Overall the apparent improve the performance of studied finishes can be distinguished only for the short action of a chemical agent and for the limited duration of contact with the water because none of the treatment methods creates a barrier protection on the surface.
This paper presents an alternative fuzzy logic approach to localization of cracks on a concrete surface. The exact loca-tions of cracks are especially needed in the case of comparison between the results of numerical analyses and experi-ments. The proposed method is based on the fact that cracks can be considered as highlands which has to be trekked along the ridge. The problem is similar to human perception and decision making. For this reason, the use of fuzzy logic for the purpose of classification is appropriate. The whole procedure of the so-called climber method is given. The re-sults show the capability of the proposed method to localize cracks, advantages and the possible range of application of the proposed method are discussed.
PETŘÍK, Martin. Climber-inspired fuzzy logic approach to crack localization using image analysis. Journal of Advanced Concrete Technology, 2015, 13.2: 103-111.
To increase competitiveness and cost reduction, the concrete industry is constantly developing solutions to optimize their production process and ensure quality. Moreover, considering short deadlines, tight budgets, and the industry's trends of accelerating construction processes, optimization is therefore becoming essential. However, this is not easy to achieve because it involves analyses of processes and materials that are imprecise, non-linear, and time-variant. Hence, the use of analytical equations for optimization purposes is sometimes cumbersome. Although processes are complex in their nature, human operators can usually control them through knowledge-based linguistic rules. Therefore, fuzzy logic arises as a powerful tool for aiding expert systems, since it allows dealing with verbal expressions to simulate human reasoning, reducing complexity while maintaining credibility. The use of fuzzy logic is within the scope of this work. The main goal is to design advanced fuzzy logic-based expert systems focused on concrete technology applications. In particular, the systems focus on the Ready-mixed concrete production process, precast concrete quality control, and experimental-based material modeling. Moreover, the objective of this work also includes the development of innovative approaches and engineering tools that are designed to support the expert systems. Applications of the proposed expert systems are presented. The obtained results indicate that the developed systems allow for optimization in the studied processes, leading to cost reduction. In addition, fuzzy logic proved to be a robust tool that allows for including vague ideas in expert systems; as a result, less complex solutions were achieved without necessarily reducing the credibility of the results.