Reliability analysis of pipe conveying fluid with stochastic structural and fluid parameters. (1st September 2016)

• Record Type: Journal Article
• Authors: Alizadeh, Ali-Asghar; Mirdamadi, Hamid Reza; Pishevar, Ahmadreza
• Is Part Of: Engineering structures. Volume 122(2016:Sep. 01)
• Page Start: 24
• Page End: 32
• Publication Date: 2016-09-01
• Subjects: Pipe conveying fluid -- Flow-induced vibration -- Random field -- Monte Carlo simulation -- Probabilistic stability analysis -- Divergence instability; Structural engineering -- Periodicals; Structural analysis (Engineering) -- Periodicals; Construction, Technique de la -- Périodiques; Génie parasismique -- Périodiques; Pression du vent -- Périodiques; Earthquake engineering; Structural engineering; Wind-pressure; Periodicals; 624.105
• DOI: 10.1016/j.engstruct.2016.04.052
• Languages: English
• ISSNs: 0141-0296

Abstract

Highlights: Analyze vibration and stability of pipe conveying fluid with stochastic parameters. Discretize random fields by means of mid-point and local average methods. Calculate the probability of divergence occurrence for different flow velocities. Obtain probability density function of divergence occurrence as two distinct parts. Uncertainty due to fluid parameters is more impressive than that of pipe in FSI. Abstract: In this article, Monte Carlo simulation method is used in conjunction with finite elements for probabilistic self-excited vibration and stability analyses of pipes conveying fluid. For fluid–structure interaction, Euler–Bernoulli beam model is used for analyzing pipe structure and plug flow model is used for representing internal fluid flow in the pipe. By considering structural and fluid parameters of the system as random fields, the governing deterministic partial differential equation (PDE) of continuous system is transformed into a stochastic PDE. The continuous random fields are discretized by mid-point and local average discretization methods. For self-excited vibration analysis, the complex-valued eigenvalue problem is solved for investigating the eigenvalues and critical eigenfrequencies. Consequently, using complex eigenfrequencies and divergence velocities for every realization, the statistical responses of stochastic problem are obtained as expected values, standard deviations, probability density functions, and the probability of divergence occurrence. Moreover, the randomness effects of fluid parameters on the system are compared to those of structural parameters.