Seismic Response Prediction of Self-Centering Concentrically Braced Frames Using Genetic Programming

Bibliographic Details
Main Author:	Gandomi, AmirHossein
Language:	English
Published:	University of Akron / OhioLINK 2015
Subjects:	Civil Engineering Computer Science
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=akron1429805737

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spelling	ndltd-OhioLink-oai-etd.ohiolink.edu-akron14298057372021-08-03T06:30:45Z Seismic Response Prediction of Self-Centering Concentrically Braced Frames Using Genetic Programming Gandomi, AmirHossein Civil Engineering Computer Science One of the commonly used earthquake-resistant structural systems is the conventional concentrically braced frame (CBF) system, which is widely used in the US. However, CBFs have limited drift capacity prior to a brace buckling occurrence. Self-centering concentrically braced frame (SC-CBF) systems have been recently developed to increase drift capacity prior to initiation of damage and to minimize residual drift. SC-CBF systems have more complex behaviors than conventional CBFs: the seismic response of SC-CBF systems depends on many new parameters such as rocking behavior, post-tensioning bars, and energy dissipation elements. Additionally, uncertainty of earthquake properties affects the system response. An accurate prediction of roof drift is essential to the design of SC-CBF systems. In this study, a robust modelling tool, genetic programming, is used to predict the peak roof drift response under seismic loading. At first, the design and analysis procedure of the SC-CBF is automated in this study, as is not available in current design software. Three levels of complexity are considered for the numerical models:i.Linear materials and geometryii.Nonlinear materials and linear geometryiii.Nonlinear materials and nonlinear geometrywhere nonlinear materials capture yielding of the structural members and nonlinear geometry is considered by modelling buckling in the braces. Using these three levels of nonlinearity, the effect of nonlinearity on SC-CBF response is also investigated in this study.Several SC-CBF systems are designed based on the design basis earthquake using a variety of mechanical and geometrical parameters. Then, the peak roof drift is predicted and formulated in two ways. First, the statistical parameters of peak roof drift (mean and standard deviation) are formulated based on the design variables (mechanical and geometrical parameters) in three different nonlinearity levels. Second, the peak roof drift response of each earthquake is formulated based on the design variables and selected ground motion intensity measures. To select the prediction parameters, particularly the ground motion intensity measures, evolutionary correlation coefficients are introduced in this study. There are many parameters involved in the formulation of the peak roof drift response of an individual earthquake. Therefore, a multi-objective strategy is also used in this study to maximize the accuracy and minimize the complexity of the model.The results of this study can then be used in future designs to implement more efficient SC-CBF systems with a more accurate roof drift prediction. 2015-05-21 English text University of Akron / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=akron1429805737 http://rave.ohiolink.edu/etdc/view?acc_num=akron1429805737 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection	NDLTD
language	English
sources	NDLTD
topic	Civil Engineering Computer Science
spellingShingle	Civil Engineering Computer Science Gandomi, AmirHossein Seismic Response Prediction of Self-Centering Concentrically Braced Frames Using Genetic Programming
author	Gandomi, AmirHossein
author_facet	Gandomi, AmirHossein
author_sort	Gandomi, AmirHossein
title	Seismic Response Prediction of Self-Centering Concentrically Braced Frames Using Genetic Programming
title_short	Seismic Response Prediction of Self-Centering Concentrically Braced Frames Using Genetic Programming
title_full	Seismic Response Prediction of Self-Centering Concentrically Braced Frames Using Genetic Programming
title_fullStr	Seismic Response Prediction of Self-Centering Concentrically Braced Frames Using Genetic Programming
title_full_unstemmed	Seismic Response Prediction of Self-Centering Concentrically Braced Frames Using Genetic Programming
title_sort	seismic response prediction of self-centering concentrically braced frames using genetic programming
publisher	University of Akron / OhioLINK
publishDate	2015
url	http://rave.ohiolink.edu/etdc/view?acc_num=akron1429805737
work_keys_str_mv	AT gandomiamirhossein seismicresponsepredictionofselfcenteringconcentricallybracedframesusinggeneticprogramming
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Seismic Response Prediction of Self-Centering Concentrically Braced Frames Using Genetic Programming

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