Abstract
Due to stress, cracks appear in constructions: cracks appear in buildings, bridges, pavements, among other structures. In the long run, cracks need to be repaired. However, our resources are limited, so we need to decide which cracks are more dangerous. To make this decision, we need to be able to predict how different cracks will grow. There are several empirical formulas describing crack growth. In this paper, we show that by using scale invariance, we can provide a theoretical explanation for these empirical formulas. The existence of such an explanation makes us confident that the existing empirical formulas can (and should) be used in the design of the corresponding automatic decision systems.
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Acknowledgments
This work was supported in part by the US National Science Foundation grants 1623190 (A Model of Change for Preparing a New Generation for Professional Practice in Computer Science) and HRD-1242122 (Cyber-ShARE Center of Excellence).
The authors are greatly thankful to Ildar Batyrshin for his encouragement and to the anonymous referees for their useful suggestions.
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Velasquez, E.D.R., Kosheleva, O., Kreinovich, V. (2020). How to Decide Which Cracks Should Be Repaired First: Theoretical Explanation of Empirical Formulas. In: MartÃnez-Villaseñor, L., Herrera-Alcántara, O., Ponce, H., Castro-Espinoza, F.A. (eds) Advances in Soft Computing. MICAI 2020. Lecture Notes in Computer Science(), vol 12468. Springer, Cham. https://doi.org/10.1007/978-3-030-60884-2_30
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DOI: https://doi.org/10.1007/978-3-030-60884-2_30
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