000011676 001__ 11676
000011676 005__ 20141205155935.0
000011676 04107 $$aeng
000011676 046__ $$k2008-10-12
000011676 100__ $$aSigmund, Vladimir
000011676 24500 $$aStrength and Deformation Capacity of Structural Elements Under Horizontal Loading

000011676 24630 $$n14.$$pProceedings of the 14th World Conference on Earthquake Engineering
000011676 260__ $$b
000011676 506__ $$arestricted
000011676 520__ $$2eng$$aUnderstanding the behavior of structural elements under in-plane horizontal loading is essential for any performance based design procedure. That applies especially to columns and walls as main lateral load resisting elements. There are many parameters that influence the prediction of the elements behavior, especially at the ultimate stage. The outlined problem presents an ideal example where neural networks (artificial intelligence) can be used. An extensive library of tested columns and walls has been collected. Work on that database considers devising a protocol of presenting the research data in the performance form. The relationship between qualitative performance description and engineering parameters that can be considered in design has been established. The use of neural networks, taught on the collected data base, enables development of improved procedures for assessment of strength and deformation capacities of the columns and walls at all performance levels. It enables prognostic behavior of the lateral load resisting elements under horizontal in-plane loading. The element geometry and material data are used for input and performance behavior of the elements is obtained as the output of such an expert system that can be used as problem solver. The work on the collected data base increases the understanding of element behavior, their performance at various demand levels and eliminates complicated detailing that were encouraged by lack of knowledge. That is in direct support of development a multi level performance design methodology for structural systems.

000011676 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000011676 653__ $$aNeural networks, Performance based design procedure, Seismic capacity, Reinforced concrete columns and walls, Experimental database,

000011676 7112_ $$a14th World Conference on Earthquake Engineering$$cBejing (CN)$$d2008-10-12 / 2008-10-17$$gWCEE15
000011676 720__ $$aSigmund, Vladimir$$iGuljas, Ivica$$iStanic, Andreas
000011676 8560_ $$ffischerc@itam.cas.cz
000011676 8564_ $$s166844$$uhttps://invenio.itam.cas.cz/record/11676/files/05-01-0022.pdf$$yOriginal version of the author's contribution as presented on CD, Paper ID: 05-01-0022.
000011676 962__ $$r9324
000011676 980__ $$aPAPER