Assesment of existing reinforced concrete structures with usage of the fuzzy logic - based expert system

• Autorzy: Tur Viktar , Yalavaya Yuliya
• Języki publikacji: EN

Abstrakty

EN

Fuzzy logic is a useful tool when assessing the existing reinforced concrete structures. The introduction of expert system in assessing the technical condition of the existing structures built on the fuzzy logic represents a transition to a new and higher-quality level for the survey of constructions sites. As a result, it is seen that the assessment of the existing building with the usage of the proposed expert system complies with the estimation of the qualified experts.

Słowa kluczowe

EN

expert system; fuzzy logic; existing structure

• Wydawca: Centrum Rzeczoznawstwa Budowlanego Sp. z o.o.
• Czasopismo: Modern Engineering
• Rocznik: 2019
• Tom: 2
• Strony: 61--70
• Opis fizyczny: Bibliogr. 11 poz., rys., tab.

Twórcy

autor

Tur Viktar

• Department of Concrete Technology, Brest State Technical University, Belarus

autor

Yalavaya Yuliya

• Department of Economics and Construction Organization, Brest State Technical University, Belarus

Bibliografia

• 1. Badiru, A. & Cheung, J. Fuzzy engineering expert systems with neural network applications (JohnWiley and Sons, New York, 2002).
• 2. Bases for Design of Structures – Assessment of Existing Structures ISO 13822:2010 (International Organization for Standardization., Geneva, 2010).
• 3. (eds Carbone, V., Mancini, G. & Tondolo, F.) Structural safety evaluation by means of fuzzy-probabilistic approach. Proceedings of the 29th Conference on Our World in Concrete and Structures2004 (Singapore, 2004).
• 4. Khader, M. H. Expert system for structural evaluation of reinforced concrete buildings in Gaza Strip using Fuzzy Logic Master thesis (Islamic University of Gaza, Gaza Strip, 2010).
• 5. Lundgren, K., Kettil, P., Hanjari K.Z.and Schlune, H. & San Roman, A. Analytical model for the bond-slip behaviour of corroded ribbed reinforcement. Structure and Infrastructure Engineering 8 (2 2012).
• 6. Mendel, J. Fuzzy logic systems for engineering: A tutorial. Proc. of the IEEE, 83 (3 1995).
• 7. (eds Mezzina, M., Uva, G. & Greco, R.) Decisional trees and fuzzy logic in the structural safety assessment of damaged R.C 13th World Conference on Earthquake Engineering (Vancouver, 2004), 149–159.
• 8. Reliability of Construction Structures ISO2394:2015 (International Organization for Standardization., Geneva, 2015).
• 9. Ross, T. Fuzzy logic with engineering applications (John Wiley and Sons, New York, 2004).
• 10. Wang, L. A course in fuzzy systems and control (Prentice Hall, New Jersy, 1997).
• 11. Zadeh, L. Fuzzy sets. Information and Control 8, 338–353. (3 1965).

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).