Bayesian Model Updating Using Hybrid Monte Carlo Simulation with Application to Structural Dynamic Models with Many Uncertain Parameters

• Published in: Journal of engineering mechanics Vol. 135; no. 4; pp. 243 - 255
• Main Authors: Cheung, Sai Hung, Beck, James L
• Format: Journal Article
• Language: English
• Published: Reston, VA American Society of Civil Engineers 01.04.2009
• Subjects: Exact sciences and technology; Fundamental areas of phenomenology (including applications); Measurement and testing methods; Physics; Solid mechanics; Structural and continuum mechanics; TECHNICAL PAPERS; Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...); Bayes estimation; Measurement; Monte Carlo method; Structural dynamics; Vibration; Probabilistic approach; Frame construction; Story(building); Identification; Modeling; Markov chain; Uncertain system; Hybrid methods; Model matching; Simulation; Probability density function; Hamiltonian mechanics; Hybrid model; System identification; Bayesian analysis; Monitoring; Structural analysis

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 rigorous framework for these applications due to its a...