Resonance Reliability Sensitivity Analysis for Random Cam Mechanism System

2013 ◽  
Vol 842 ◽  
pp. 378-381
Author(s):  
Xin Xin Si ◽  
Rui Jun Zhang ◽  
Lu Lu Zhang
Keyword(s):  
Sensitivity Analysis ◽  
Perturbation Method ◽  
Stability Criterion ◽  
Random Variables ◽  
Design Parameters ◽  
Performance Function ◽  
Cam Mechanism ◽  
Reliability Sensitivity ◽  
Reliability Sensitivity Analysis ◽  
Study Results

Targeting at realizing analysis of resonance reliability sensitivity for cam mechanism system, considering the uncertainty of the design parameters, the performance function of the resonance reliability of the cam mechanism is established based on stability criterion of vibration. The perturbation method is employed to calculate the resonance reliability of cam mechanism. Combined with the sensitivity technology, the effects of random variables on occurring resonance failure of cam mechanism system were discussed. The study results can provide theoretical reference for anti-resonance design of cam mechanism system.

scholarly journals Fatigue Reliability Sensitivity Analysis of Complex Mechanical Components under Random Excitation

2011 ◽  
Vol 2011 ◽  
pp. 1-17 ◽  
Author(s):  
Hao Lu ◽  
Yimin Zhang ◽  
Xufang Zhang ◽  
Xianzhen Huang
Keyword(s):  
Sensitivity Analysis ◽  
Random Excitation ◽  
Design Parameters ◽  
State Function ◽  
Fourth Moment ◽  
Fatigue Reliability ◽  
Random Load ◽  
Reliability Sensitivity ◽  
Reliability Sensitivity Analysis ◽  
Mechanical Components

Fatigue failure is the typical failure mode of mechanical components subjected to random load-time history. It is important to ensure that the mechanical components have an expected life with a high reliability. However, it is difficult to reduce the influence of factors that affect the fatigue reliability and thus a reliability sensitivity analysis is necessary. An approach of fatigue reliability sensitivity analysis of complex mechanical components under random excitation is presented. Firstly, load spectra are derived using a theoretical method. A design of experiment (DOE) is performed to study the stresses of dangerous points according to the change of design parameters of the mechanical component. By utilizing a Back-Propagation (BP) algorithm, the explicit function relation between stresses and design parameters is formulated and thus solves the problem of implicit limit state function. Based on the damage accumulation (DA) approach, the probability perturbation method, the fourth-moment method, the Edgeworth expansion is adopted to calculate the fatigue reliability and reliability-based sensitivity. The fatigue reliability sensitivity analysis of a train wheel is performed as an example. The results of reliability are compared with that obtained using Monte Carlo simulation. The reliability sensitivity of design parameters in the train wheel is analyzed.

The Automobile Tension Bar Time-Varying Reliability Sensitivity Analysis

2014 ◽  
Vol 620 ◽  
pp. 143-147
Author(s):  
Shu Sen Liu ◽  
Bo Qiang Shi ◽  
Wen Yu Zhang ◽  
Xue Jie Fu ◽  
Yue Wei Wu
Keyword(s):  
Sensitivity Analysis ◽  
Optimal Design ◽  
Optimization Design ◽  
Design Parameters ◽  
Time Varying ◽  
Reliability Sensitivity ◽  
Reliability Sensitivity Analysis ◽  
Robust Optimal Design ◽  
Robust Optimization Design ◽  
The Impact

In this paper, the design of a automobile tension bar analysis example, the use of sensitivity analysis of time-varying reliability robust optimal design tension bar design parameters for reliability sensitivity analysis shows that the reliability of the impact of the strength of the material and rod diameter is positive, and the reliability of the impact of the load and rod diameter is negative. Correct application of time-varying reliability robust optimal design of mechanical parts when variant reliability robust optimization design, design service at any time during the period were not sensitive to changes of the design parameters of the reliability of the parts, and improve the parts reliability soundness.

The Reliability Sensitivity Analysis of Composite Beam Cable-Stayed Bridge during Construction Stage

2013 ◽  
Vol 438-439 ◽  
pp. 901-907
Author(s):  
Bu Yu Jia ◽  
Xiao Lin Yu ◽  
Quan Sheng Yan ◽  
Zhou Chen
Keyword(s):  
Sensitivity Analysis ◽  
Composite Beam ◽  
Structural Response ◽  
Random Variable ◽  
Variable Parameters ◽  
Performance Function ◽  
Cable Stayed Bridge ◽  
Reliability Sensitivity ◽  
Reliability Sensitivity Analysis ◽  
Interface Slip

A 10DOF composite beam element was developed, which had taken the interface slip effect and geometric nonlinearity into consideration. The method to obtain structural response gradients of composite beam was analyzed, meanwhile the reliability index was achieved by using the FORM method and on this basis, and the sensitivity of random variable parameters could be finished. At last the control of target elevation was took as state performance function, the sensitivity analysis of random variable parameters which might have an effect on the elevation control reliability was effectively completed, and some useful conclusions which were be beneficial to construction control of composite beam cable-stayed bridge obtained.

scholarly journals Reliability sensitivity analysis using axis orthogonal importance Latin hypercube sampling method

2019 ◽  
Vol 11 (3) ◽  
pp. 168781401982641 ◽  
Author(s):  
Wei Zhao ◽  
YangYang Chen ◽  
Jike Liu
Keyword(s):  
Sensitivity Analysis ◽  
Importance Sampling ◽  
Failure Probability ◽  
Random Variables ◽  
Latin Hypercube Sampling ◽  
Sampling Point ◽  
Latin Hypercube ◽  
Sensitivity Estimation ◽  
Reliability Sensitivity ◽  
Reliability Sensitivity Analysis

In this article, a combined use of Latin hypercube sampling and axis orthogonal importance sampling, as an efficient and applicable tool for reliability analysis with limited number of samples, is explored for sensitivity estimation of the failure probability with respect to the distribution parameters of basic random variables, which is equivalently solved by reliability sensitivity analysis of a series of hyperplanes through each sampling point parallel to the tangent hyperplane of limit state surface around the design point. The analytical expressions of these hyperplanes are given, and the formulas for reliability sensitivity estimators and variances with the samples are derived according to the first-order reliability theory and difference method when non-normal random variables are involved and not involved, respectively. A procedure is established for the reliability sensitivity analysis with two versions: (1) axis orthogonal Latin hypercube importance sampling and (2) axis orthogonal quasi-random importance sampling with the Halton sequence. Four numerical examples are presented. The results are discussed and demonstrate that the proposed procedure is more efficient than the one based on the Latin hypercube sampling and the direct Monte Carlo technique with an acceptable accuracy in sensitivity estimation of the failure probability.

Accuracy Reliability Sensitivity Analysis of Power Servo Tool Holder

2013 ◽  
Vol 419 ◽  
pp. 171-179
Author(s):  
Chang You Li ◽  
Xiao Chen Kang ◽  
Nan Wu ◽  
Wen Yuan Dai
Keyword(s):  
Sensitivity Analysis ◽  
Perturbation Method ◽  
Reliability Model ◽  
Tool Holder ◽  
Analysis Theory ◽  
Reliability Sensitivity ◽  
Reliability Sensitivity Analysis

To analyze the effect of the manufacture and assembly errors on the accuracy reliability of power servo tool holder, the accuracy reliability sensitivity is investigated in this work. The accuracy reliability model of power servo tool holder is introduced firstly. The sensitivity analysis theory of the reliability perturbation method is given. Then, the method is applied to the reliability sensitivity of the power servo tool holder of which the type is SFW25 and the importance order of the manufacture and assembly errors for the accuracy reliability is obtained. It offers the guide for improving the accuracy reliability of the considered power servo tool holder.

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