Stochastic dynamic response and reliability assessment of controlled structures with fractional derivative model of viscoelastic dampers. (May 2016)

• Record Type: Journal Article
• Authors: Xu, Jun; Li, Jie
• Is Part Of: Mechanical systems and signal processing. Volume 72/73(2016)
• Page Start: 865
• Page End: 896
• Publication Date: 2016-05
• Subjects: Viscoelastic damper -- Structural control -- Fractional derivative -- Probability density evolution method -- Precise integration method; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2015.11.016
• Languages: English
• ISSNs: 0888-3270

Abstract

Abstract: Viscoelastic dampers, where fractional derivatives are involved, are often considered for use to mitigate dynamic response of structures. However, it is not an easy task to obtain the probabilistic dynamic response and the reliability of controlled structures with fractional terms. For this purpose, an efficient methodology based on the probability density evolution method is proposed, where the generalized density evolution equation is present to capture the instantaneous probabilistic dynamic response and the dynamic reliability can be evaluated from the standpoint of probability dissipation. Numerical solution is of practical necessity, where a deterministic procedure to solve the equation of motion with fractional derivatives is embedded. Therefore, the precise integration method (PIM) is extended to numerically integrate the equation of motion with fractional terms, which offers high accuracy. The numerical results verify the effectiveness of the advocated methodology, but also indicate the viscoelastic dampers can enhance the seismic performance of structures significantly. Highlights: Stochastic dynamic response and reliability of structures with fractional type dampers are obtained. Probability dissipated system is well developed. A modified numerical integration method is put forward. Numerical examples are carried out for validation.