000018633 001__ 18633
000018633 005__ 20170118182232.0
000018633 04107 $$aeng
000018633 046__ $$k2017-01-09
000018633 100__ $$aToraman, Elmon
000018633 24500 $$aEstimation of  Structural Damage Due To Seismic Soil Parameters  Following the Northridge Earthquake

000018633 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000018633 260__ $$b
000018633 506__ $$arestricted
000018633 520__ $$2eng$$aThis study is based on determining critical inputs to investigate the effect of structural components and seismic parameters on the damage of existing buildings, following 1994 Northridge earthquake for the forthcoming earthquakes. Data derived from ATC 38 report - Database on the Performance of Structures Near Strong-Motion Recordings: 1994 Northridge, California Earthquake (ATC, 2000) is used in the analysis. After the 1994 Northridge earthquake, engineers inspected more than 500 buildings located in a range within 1000 feet of 30 strong motion recording stations. An artificial intelligence tool, the Artificial Neural Network (ANN) method is used to determine the damage potential of the buildings. ANN can be used to build a complex relationship between input and output, or to find patterns in data. Neural networks have the ability to model complex nonlinear relationships between input and output. Once trained, neurons are able to make new decisions, classifications, and forecasts. The complexity of building a relationship between input and output data was well handled with neural network methodology in civil engineering related problems such as slope stability, settlement analysis, prediction of pullout capacity of ground anchors, pile capacity determination, predicting of foundation settlement, evaluation of liquefaction. The input parameters utilized include plan irregularities, peak ground acceleration, epicentral distance, modified Mercalli intensity scale, number of basement floors and structural damage is the output data. Based on this artificial intelligence analysis, the important parameters and corresponding sensitivities affecting the structural damage which occurred during the Northridge earthquake is presented.

000018633 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000018633 653__ $$aNorthridge earthquake, artificial neural network, soil structure interaction

000018633 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000018633 720__ $$aToraman, Elmon$$iUral, Derin
000018633 8560_ $$ffischerc@itam.cas.cz
000018633 8564_ $$s223403$$uhttps://invenio.itam.cas.cz/record/18633/files/1884.pdf$$yOriginal version of the author's contribution as presented on USB, paper 1884.
000018633 962__ $$r16048
000018633 980__ $$aPAPER