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1.	Original version of the author's contribution as presented on CD, section: Robust stochastic analysis, optimal design and model updating of engineering systems - ii (MS).: PDF Evidence-based identification of weighting factors in bayesian model updating using modal data Goller, B. ; Schueller G., I. In recent years, model updating of dynamical systems based on experimental data has become increasingly important due to the need for more accurate models that can be use [...] Detailed record - Similar records
2.	Original version of the author's contribution as presented on CD, section: Semi-plenary lectures.: PDF Using model classes in system identification for robust response predictions Beck J., L. The goal of system identification for dynamic systems is to use experimental data to improve mathematical models of the input-output behavior of a dynamic system so that [...] Detailed record - Similar records
3.	Original version of the author's contribution as presented on CD, section: Robust stochastic analysis, optimal design and model updating of engineering systems - i (MS).: PDF Bayesian approach to order selection of arx models with applications to structural health monitoring Saito, T. ; Beck J., L. A Bayesian framework for model class selection of ARX models is developed and applied to actual earthquake response data obtained by the structural health monitoring syst [...] Detailed record - Similar records
4.	Original version of the author's contribution as presented on CD, paper No. 5176.: PDF Information-Based Relative Sufficiency of Some Ground Motion Intensity Measures Jalayer, F. ; Zareian, F. Detailed record - Similar records
5.	Original version of the author's contribution as presented on CD, .: PDF PHASE II OF THE ASCE BENCHMARK STUDY ON SHM Bernal, D. ; Beck, J.L. The task group on structural health monitoring of the Dynamic Committee of ASCE was formed in 1999 at the 12th Engineering Mechanics Conference. The task group has design [...] Detailed record - Similar records
6.	Original version of the author's contribution as presented on CD, .: PDF Bayesian Post-Processing for Subset Simulation for Decision Making Under Risk Zuev, K. M. ; Beck, J. L. One the most important and computationally challenging problems in reliability engineering is to estimate the failure probability, that is, the probability of unacceptabl [...] Detailed record - Similar records

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