000013785 001__ 13785
000013785 005__ 20161114170255.0
000013785 04107 $$aeng
000013785 046__ $$k2011-05-25
000013785 100__ $$aElnashai, A.
000013785 24500 $$aHybrid Mathematical-Informational Modeling of Structural Systems

000013785 24630 $$n3.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013785 260__ $$bNational Technical University of Athens, 2011
000013785 506__ $$arestricted
000013785 520__ $$2eng$$aConventional modeling and computational simulation in mechanics and structures are based on mathematical or empirical equations that have been developed to represent the response of components or systems. Such idealization may lead to representations that exclude significant aspects of system behavior with specific loads and boundary conditions. An alternative approach is to represent system response based on information contained in the observed data. The data modeling approach is fundamentally different to the aforementioned mechanical modeling option. Computational intelligence methods have made the data modeling approach possible and effective. The information about the underlying mechanics is extracted from the observed system response data and stored in neural networks. Trained neural networks can then be used in the simulations of the system. This approach also has its limitations. This paper reports on a new hybrid modeling and simulation method where conventional mathematical models (of portions of the system for which an acceptably accurate solution exists) are complemented by the informational models (of portions of the system that are more challenging to model mathematically). The proposed hybrid modeling and simulation approach has potential applications in a wide range of fields in computational mechanics and structural analysis. The effectiveness of the hybrid method is illustrated for the hysteretic behavior of beam-column connections in steel frames where aspects of the response that are not amenable to mechanics- based modeling are represented by trained neural networks. The potential of the method in several fields of engineering and science is also explored.

000013785 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013785 653__ $$a

000013785 7112_ $$aCOMPDYN 2011 - 3rd International Thematic Conference$$cIsland of Corfu (GR)$$d2011-05-25 / 2011-05-28$$gCOMPDYN2011
000013785 720__ $$aElnashai, A.$$iKim H., H.$$iGhaboussi, J.
000013785 8560_ $$ffischerc@itam.cas.cz
000013785 8564_ $$s7473$$uhttp://invenio.itam.cas.cz/record/13785/files/672.pdf$$yOriginal version of the author's contribution as presented on CD, section: Plenary Lectures.
000013785 962__ $$r13401
000013785 980__ $$aPAPER