000018203 001__ 18203
000018203 005__ 20170118182212.0
000018203 04107 $$aeng
000018203 046__ $$k2017-01-09
000018203 100__ $$aPereira, Victor
000018203 24500 $$aNumerical Model Updating of the Ucsc-Cross (Concepcion, Chile) Using Experimentally Extracted Data and By Applying Regional Sensitivity Methods

000018203 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000018203 260__ $$b
000018203 506__ $$arestricted
000018203 520__ $$2eng$$aCalibration of numerical models has become indispensable to reduce error in the prediction of structural performance of complex systems. Several methods have been developed in the last two decades to calibrate a numerical model, but the implementation of these procedures in engineering common practice is still infrequent. Hence, the analysis-verificationcalibration-design cycle is usually incomplete. In this study, a 24-m high cross-shape truss structure was model using a finite elements approach. The finite element code was validated by comparing its results with other finite element models commercial package. The numerical model was calibrated using experimental data extracted from the actual structure located at the San Andrés Campus of the UCSC in Concepción, Chile. A grid of 9 accelerometers was installed in the actual structure to record its response due to ambient excitation. The modal frequencies were extracted from these acceleration records using two operational modal analysis methods (SSI and FDD), identifying 4 predominant frequencies. Model calibration was performed by applying a regional sensitivity method based on Monte-Carlo sampling. This method adjusts the modal response of the structural model to the real response measured on the actual structure. More than 2000 realizations were performed. The parameters chosen for calibrating the model were the Young´s modulus, truss-section thickness, material´s equivalent density and support flexibility. The simulation was carried out using the Matlab Toolbox MCAT. A significant improvement of the model prediction was achieved by the calibration that allows a more precise estimation of structural performance under extreme conditions (wind gusts, earthquakes and others).

000018203 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000018203 653__ $$aModal testing; Ambient excitation; Model calibration; Regional sensitivity methods; Monte-Carlo sampling.

000018203 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000018203 720__ $$aPereira, Victor$$iArriagada, Jose$$iOlivera, Juan Jose$$iVera, Claudio Oyarzo
000018203 8560_ $$ffischerc@itam.cas.cz
000018203 8564_ $$s1625613$$uhttps://invenio.itam.cas.cz/record/18203/files/101.pdf$$yOriginal version of the author's contribution as presented on USB, paper 101.
000018203 962__ $$r16048
000018203 980__ $$aPAPER