000011525 001__ 11525
000011525 005__ 20141205155919.0
000011525 04107 $$aeng
000011525 046__ $$k2008-10-12
000011525 100__ $$aSalajegheh, Eysa
000011525 24500 $$aNonlinear Dynamic Analysis of Structures Using Cellular Automata

000011525 24630 $$n14.$$pProceedings of the 14th World Conference on Earthquake Engineering
000011525 260__ $$b
000011525 506__ $$arestricted
000011525 520__ $$2eng$$aEmerging idea of Parallel Computing makes the use of new algorithms inevitable to deal with the problem of structural optimization. Simultaneous analysis and design has been a well known optimization method whose efficiency can be increased by the use of parallel computation methods. Cellular Automata are among those algorithms which their models are composed of regular lattice of cell or automata. Each cell may change its state at discrete, fixed times (iterations) according to a local rule based on behavior of the system which should be modeled. So the behavior of a system can be modeled by simple interaction of cells. This study contributes to nonlinear dynamic analysis of multi degrees of freedom (MDF) structures by Cellular Automata. The proposed method establishes local update rules which act on the stories of the structures as system cells. Any of the stories interacts with its neighbors, while applying a ground motion record to the structure base. This leads to the global dynamic response of structure after some iteration. The analysis update rules tend to solve the global differential equation of motion by solving some local differential equations at the cell levels. An outstanding feature of the proposed method is that the analysis of the structure is performed by solving some simple equations corresponding to single degree of freedom (SDF) systems. This scheme of the method is astonishing, as previous studies on training artificial neural networks for optimizing dynamic behaviors of structures can be extended to nonlinear phase. Another aspect of Cellular Automata which makes them efficient computational tools is their capability to be utilized efficiently by parallel processors for modeling complex systems.

000011525 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000011525 653__ $$aCellular Automata, nonlinear dynamic analysis, optimization, parallel computing

000011525 7112_ $$a14th World Conference on Earthquake Engineering$$cBejing (CN)$$d2008-10-12 / 2008-10-17$$gWCEE15
000011525 720__ $$aSalajegheh, Eysa$$iGhaderi Sohi, Saeed$$iMohammadi, Afshin
000011525 8560_ $$ffischerc@itam.cas.cz
000011525 8564_ $$s265796$$uhttps://invenio.itam.cas.cz/record/11525/files/14-0117.pdf$$yOriginal version of the author's contribution as presented on CD, Paper ID: 14-0117.
000011525 962__ $$r9324
000011525 980__ $$aPAPER