Reliability assessment of structures using interval uncertainty analysis

2015 ◽  
Vol 6 (2) ◽  
pp. 172 ◽  
Author(s):  
Mehdi Modares ◽  
Raguez Taha ◽  
Jamshid Mohammadi
Keyword(s):  
Uncertainty Analysis ◽  
Reliability Assessment ◽  
Interval Uncertainty

Robust Strategies for Forced Response Reduction of Bladed Disks Based on Large Mistuning Concept

2008 ◽  
Vol 130 (2) ◽  
Author(s):  
M. Nikolic ◽  
E. P. Petrov ◽  
D. J. Ewins
Keyword(s):  
Uncertainty Analysis ◽  
Reliability Assessment ◽  
Forced Response ◽  
Bladed Disks ◽  
Reduction Strategies ◽  
Random Mistuning ◽  
Robust Strategies

In this paper, robust maximum forced response reduction strategies based on a “large mistuning” concept are introduced, including both (i) random and (ii) deterministic approaches. An industrial bladed fan disk serves as an application example for a reliability assessment of the aforementioned strategies using two well-established tools for uncertainty analysis: (i) statistics and (ii) sensitivity and robustness. The feasibility and other practical aspects of implementing large mistuning as a means of preventing excessive forced response levels caused by random mistuning and ensuring the predictability of the response are discussed.

Robust Strategies for Forced Response Reduction of Bladed Discs Based on Large Mistuning Concept

2007 ◽  
Author(s):  
M. Nikolic ◽  
E. P. Petrov ◽  
D. J. Ewins
Keyword(s):  
Uncertainty Analysis ◽  
Reliability Assessment ◽  
Forced Response ◽  
Reduction Strategies ◽  
Random Mistuning ◽  
Robust Strategies

In this paper, robust maximum forced response reduction strategies based on a “large mistuning” concept are introduced, including both (i) probabilistic and (ii) deterministic approaches. An industrial bladed fan disc serves as an application example for a reliability assessment of the aforementioned strategies using two well-established tools for uncertainty analysis: (i) statistics and (ii) sensitivity and robustness. The feasibility and other practical aspects of implementing large mistuning as a means of preventing excessive forced response levels caused by random mistuning and ensuring the predictability of the response are discussed.

An adaptive collocation method for structural fuzzy uncertainty analysis

2020 ◽  
Vol 37 (9) ◽  
pp. 2983-2998
Author(s):  
Lei Wang ◽  
Chuang Xiong ◽  
Qinghe Shi
Keyword(s):  
Uncertainty Analysis ◽  
Collocation Method ◽  
Membership Function ◽  
Interval Uncertainty ◽  
Engineering Practice ◽  
Analysis Method ◽  
Content Type ◽  
Fuzzy Uncertainty ◽  
Uncertain Variables ◽  
The Membership Function

Purpose Considering that uncertain factors widely exist in engineering practice, an adaptive collocation method (ACM) is developed for the structural fuzzy uncertainty analysis. Design/methodology/approach ACM arranges points in the axis of the membership adaptively. Through the adaptive collocation procedure, ACM can arrange more points in the axis of the membership where the membership function changes sharply and fewer points in the axis of the membership where the membership function changes slowly. At each point arranged in the axis of the membership, the level-cut strategy is used to obtain the cut-level interval of the uncertain variables; besides, the vertex method and the Chebyshev interval uncertainty analysis method are used to conduct the cut-level interval uncertainty analysis. Findings The proposed ACM has a high accuracy without too much additional computational efforts. Originality/value A novel ACM is developed for the structural fuzzy uncertainty analysis.

scholarly journals Parameter Interval Uncertainty Analysis of Internal Resonance of Rotating Porous Shaft–Disk–Blade Assemblies Reinforced by Graphene Nanoplatelets

Materials ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5033
Author(s):  
Yi Cai ◽  
Zi-Feng Liu ◽  
Tian-Yu Zhao ◽  
Jie Yang
Keyword(s):  
Uncertainty Analysis ◽  
Internal Resonance ◽  
Micromechanical Model ◽  
Porous Metal ◽  
Graphene Nanoplatelets ◽  
Interval Uncertainty ◽  
Width Ratio ◽  
Rotating Shaft ◽  
Parameter Interval ◽  
Blade Assembly

This paper conducts a parameter interval uncertainty analysis of the internal resonance of a rotating porous shaft–disk–blade assembly reinforced by graphene nanoplatelets (GPLs). The nanocomposite rotating assembly is considered to be composed of a porous metal matrix and graphene nanoplatelet (GPL) reinforcement material. Effective material properties are obtained by using the rule of mixture and the Halpin–Tsai micromechanical model. The modeling and internal resonance analysis of a rotating shaft–disk–blade assembly are carried out based on the finite element method. Moreover, based on the Chebyshev polynomial approximation method, the parameter interval uncertainty analysis of the rotating assembly is conducted. The effects of the uncertainties of the GPL length-to-width ratio, porosity coefficient and GPL length-to-thickness ratio are investigated in detail. The present analysis procedure can give an interval estimation of the vibration behavior of porous shaft–disk–blade rotors reinforced with graphene nanoplatelets (GPLs).

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