Auteur James L. Beck
Documents disponibles écrits par cet auteur (8)
Affiner la recherche
Article : texte imprimé
Bayesian Analysis of the Phase II IASC-ASCE Structural Health Monitoring Experimental Benchmark Data
Ching, J., Auteur ; James L. Beck, Auteur ; Ghanem, Roger G., Éditeur scientifique |A two-step probabilistic structural health monitoring approach is used to analyze the Phase II experimental benchmark studies sponsored by the IASC–ASCE Task Group on Structural Health Monitoring. This study involves damage detection and assessm[...]
Article : texte imprimé
Chang Kook Oh, Auteur ; James L. Beck, Auteur ; Masumi Yamada, Auteur |A novel method of Bayesian learning with automatic relevance determination prior is presented that provides a powerful approach to problems of classification based on data features, for example, classifying soil liquefaction potential based on s[...]
Article : texte imprimé
Sai Hung Cheung, Auteur ; James L. Beck, Auteur |In recent years, Bayesian model updating techniques based on measured data have been applied to system identification of structures and to structural health monitoring. A fully probabilistic Bayesian model updating approach provides a robust and[...]
Article : texte imprimé
Choi, Jun-Seong, Auteur ; Jong-Seh Lee, Auteur ; Yun, Chung-Bang ; James L. Beck, Éditeur scientifique |This paper demonstrates how system identification techniques can be successfully applied to a soil-structure interaction system using the earthquake response data. The parameters identified are the shear moduli of several near-field soil regions[...]
Article : texte imprimé
James L. Beck, Auteur ; Ghanem, Roger G., Éditeur scientifique ; Yuen, Ka-Veng, Auteur |A Bayesian probabilistic approach is presented for selecting the most plausible class of models for a structural or mechanical system within some specified set of model classes, based on system response data. The crux of the approach is to rank [...]
Article : texte imprimé
Alexandros A. Taflanidis, Auteur ; James L. Beck, Auteur |Design problems that involve optimization of the reliability of engineering systems are the focus of this paper. Methodologies are discussed applicable to problems that involve nonlinear systems and a large number of uncertain parameters specify[...]
Article : texte imprimé
Alexandros A. Taflanidis, Auteur ; Jeffrey T. Scruggs, Auteur ; James L. Beck, Auteur |A reliability-based structural control design approach is presented that optimizes a control system explicitly to minimize the probability of structural failure. Failure is interpreted as the system’s state trajectory exiting a safe region withi[...]
Article : texte imprimé
Alexandros A. Taflanidis, Auteur ; Jeffrey T. Scruggs, Auteur ; James L. Beck, Auteur |This study discusses a robust controller synthesis methodology for linear, time invariant systems, under probabilistic parameter uncertainty. Optimization of probabilistic performance robustness for [script H]2 and multi-objective [script H]2 me[...]
