Fuzzy neural network-based system identification of multi-storey shear buildings. Issue 3 (March 2017)

• Record Type: Journal Article
• Authors: Chakraverty, S.; Sahoo, Deepti
• Is Part Of: Neural computing & applications. Volume 28:Issue 3(2017)
• Page Start: 597
• Page End: 612
• Publication Date: 2017-03
• Subjects: Identification -- Inverse vibration -- Earthquake -- Modelling -- Fuzzy neural network -- Shear buildings -- Structures; Neural networks (Computer science) -- Periodicals; Neural circuitry -- Periodicals; Artificial intelligence -- Periodicals; Neural Networks (Computer) -- Periodicals; Réseaux neuronaux (Informatique) -- Périodiques; Réseaux nerveux -- Périodiques; Intelligence artificielle -- Périodiques; 006.32
• DOI: 10.1007/s00521-015-2101-y
• Languages: English
• ISSNs: 0941-0643

Abstract

Abstract This paper uses fuzzy neural network modelling for the identification of structural parameters of multi-storey shear buildings. First the identification has been done using response of the structure subject to ambient vibration with fuzzy initial condition. Then forced vibration with horizontal displacement in fuzzified form has been used to investigate the identification procedure. The model has been developed to handle the data in fuzzified form for multi-storey shear structure, and the procedure is tested for the identification of the stiffness parameters of simple example problems using the prior values of the design parameters.