Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
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
Czasopismo
Rocznik
Tom
Strony
61--70
Opis fizyczny
Bibliogr. 11 poz., rys., tab.
Twórcy
autor
- Department of Concrete Technology, Brest State Technical University, Belarus
autor
- 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).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fdf09231-480c-4949-a71c-770847f8843e