Naslov
Estimation of Fundamental Period of Reinforced Concrete Shear Wall Buildings using Self Organization Feature Map

Autori
Nikoo, Mehdi ; Hadzima-Nyarko, Marijana ; Khademi, Faezehossadat ; Mohasseb, Sassan

Izvornik
Structural engineering and mechanics (1225-4568) 63 (2017), 2; 237-249

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Fundamental period ; Reinforced Concrete Shear Wall (RC SW) buildings ; Genetic Algorithm (GA) ; nonlinear regression analysis ; Self-Organization Feature Map (SOFM)

Sažetak
The Self-Organization Feature Map as an unsupervised network is very widely used these days in engineering science. The applied network in this paper is the Self Organization Feature Map with constant weights which includes Kohonen Network. In this research, Reinforced Concrete Shear Wall buildings with different storiesand heights are analyzedand a database consisting of measured fundamental periods and characteristics of 78 RC SW buildings is created. The input parameters of these buildings include number of stories, height, length, width, whereas the output parameter is the fundamental period. In addition, using Genetic Algorithm, the structure of the Self-Organization Feature Map algorithm is optimized with respect to the numbers of layers, numbers of nodes in hidden layers, type of transfer function and learning. Evaluation of the SOFM model was performed by comparing the obtained values to the measured values and values calculated by expressions given in building codes. Results show that the Self- Organization Feature Map, which is optimized by using Genetic Algorithm, has a higher capacity, flexibility and accuracy in predicting the fundamental period.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo

POVEZANOST RADA