Concrete Crack Analysis in RC Elements Using Rough Set Theory

Authors

  • Dragan Nikolić Academy of Technical and Art Applied Studies, Department of Civil Engineering and Geodesy, Belgrade, Serbia
  • Dragan Bojović Institute IMS, Belgrade, Serbia
  • Snežana Mitrović Academy of Technical and Art Applied Studies, Department of Civil Engineering and Geodesy, Belgrade, Serbia

Keywords:

Concrete cracks, Cracks classification, Data mining system, Rough set theory

Abstract

The rough set theory is a relatively recent mathematical approach to definition and analysis of vagueness, ambiguity and uncertainty, and it is suitable tool in data mining system. The paper presents a decision rule modeling for classification and analysis the cause of concrete cracking in relation to time (in fresh or hardened concrete) and physical, chemical, thermal and load impact in uncertain environment. The model is based on stochastic approach and decision table is obtained by considering cracks characteristic as attribute set. It is shown that the objective decision rules for given parameters related to cracks classification can be formulated.

References

ACI 224.1R-07, Causes, Evaluation, and Repair of Cracks in Concrete Structures.

Attoh-Okine, N. O. (1997). Rough set application to data mining principles in pavement management database. Journal of Computing in Civil Engineering, 11(4), 231-237.

Cirovic, G., & Cekic, Z., (2002). Case-based reasoning model applied as a decision support for construction projects, Kybernetes – The International Journal of Systems & Cybernetics, 31(6), 896-908.

Ćirović, G., & Plamenac, D. (2005). Rough sets – application in the construction industry. Operational Research Society, Belgrade, 224.

EN 1504(1-10), Products and systems for the protection and repair of concrete structures - Definitions, requirements, quality control and evaluation of conformity

Folic, R. J. (1991). A classification of damage to concrete buildings in earthquakes, illustrated by examples. Materials and structures, 24(142), 286-292.

Folić, R. (2009). Durability design of concrete structures, Part 1: Analysis fundamentals. Facta universitatis-series: Architecture and Civil Engineering, 7(1), 1-18.

Glinicki, M. A., & Litorowicz, A. (2006). Crack system evaluation in concrete elements at mesoscale. Bulletin of the Polish Academy of Sciences: Technical Sciences, 371-379.

Rosetta software official web page. (2009). http://www.lcb.uu.se/tools/rosetta/, Rosetta software official web page Accessed 13 March 2021.

Kim, Y. M., Kim, C. K., & Lee, J. C. (2009). Rough set algorithm for crack category determination of reinforced concrete structures. Advances in Engineering Software, 40(3), 202-211.

Pavišić, M. (2007). Ocena integriteta betonskih konstrukcija na osnovu rizika. Integritet i vek konstrukcija, 7(1), 29-36.

Pawlak, Z. (1982). Rough sets. International journal of computer & information sciences, 11(5), 341-356.

Sivakumar, A., & Santhanam, M. (2007). A quantitative study on the plastic shrinkage cracking in high strength hybrid fibre reinforced concrete. Cement and concrete composites, 29(7), 575-581.

Vinterbo, S., & Øhrn, A. (2000). Minimal approximate hitting sets and rule templates. International Journal of approximate reasoning, 25(2), 123-143.

Published

2022-08-29

How to Cite

Nikolić, D. ., Bojović, D. ., & Mitrović, S. . (2022). Concrete Crack Analysis in RC Elements Using Rough Set Theory. Operations Research and Engineering Letters, 1(1), 76–82. Retrieved from http://orel.unionnikolatesla.edu.rs/index.php/orel/article/view/17