A unified approach for squeal instability analysis of disc brakes with two types of random-fuzzy uncertainties. (1st September 2017)

• Record Type: Journal Article
• Authors: Lü, Hui; Shangguan, Wen-Bin; Yu, Dejie
• Is Part Of: Mechanical systems and signal processing. Volume 93(2017)
• Page Start: 281
• Page End: 298
• Publication Date: 2017-09-01
• Subjects: Squeal instability -- Random uncertainty -- Fuzzy uncertainty -- Unified approach; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2017.02.012
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: A unified approach is proposed for squeal analysis of uncertain brakes. Two types of random-fuzzy uncertainties are processed. Two uncertainty analysis models with mixed variables are introduced. The approach presents good computational accuracy and efficiency. Abstract: Automotive brake systems are always subjected to various types of uncertainties and two types of random-fuzzy uncertainties may exist in the brakes. In this paper, a unified approach is proposed for squeal instability analysis of disc brakes with two types of random-fuzzy uncertainties. In the proposed approach, two uncertainty analysis models with mixed variables are introduced to model the random-fuzzy uncertainties. The first one is the random and fuzzy model, in which random variables and fuzzy variables exist simultaneously and independently. The second one is the fuzzy random model, in which uncertain parameters are all treated as random variables while their distribution parameters are expressed as fuzzy numbers. Firstly, the fuzziness is discretized by using α -cut technique and the two uncertainty analysis models are simplified into random-interval models. Afterwards, by temporarily neglecting interval uncertainties, the random-interval models are degraded into random models, in which the expectations, variances, reliability indexes and reliability probabilities of system stability functions are calculated. And then, by reconsidering the interval uncertainties, the bounds of the expectations, variances, reliability indexes and reliability probabilities are computed based on Taylor series expansion. Finally, by recomposing the analysis results at each α -cut level, the fuzzy reliability indexes and probabilities can be obtained, by which the brake squeal instability can be evaluated. The proposed approach gives a general framework to deal with both types of random-fuzzy uncertainties that may exist in the brakes and its effectiveness is demonstrated by numerical examples. It will be a valuable supplement to the systematic study of brake squeal considering uncertainty.