Reliability Assessment for Small Sample Based on Interval Degradation Data

2011 ◽  
Vol 199-200 ◽  
pp. 534-537
Author(s):  
Wei Tao Zhao ◽  
Dong Lin Yao ◽  
Wei Ping Zhang
Keyword(s):  
Reliability Analysis ◽  
Reliability Assessment ◽  
Small Sample ◽  
Analysis Method ◽  
Numerical Example ◽  
Degradation Data ◽  
Analysis Theory ◽  
Interval Reliability ◽  
Improved Model ◽  
Assessment Results

Based on reliability analysis theory, traditional interval reliability analysis method is improved by take the smaller value of probability reliability and interval reliability as the results of reliability assessment, which makes the reliability assessment results more fit engineering cases. The improved model is applied to reliability assessment of small sample products with degradation characteristics, and results of assessment are compared with existing methods. A numerical example is considered, the results show that the assessment results by the method proposed in the paper is reasonable and believable.

Interval statistic based reliability analysis method on small sample hot test of satellite thruster

2018 ◽  
Vol 60 ◽  
pp. 581-591 ◽  
Author(s):  
Yi Cui ◽  
Yongbo Zhang ◽  
Zhihua Wang ◽  
Huimin Fu ◽  
Xiaofang Mao
Keyword(s):  
Reliability Analysis ◽  
Small Sample ◽  
Analysis Method ◽  
Hot Test

Study on System Reliability Analysis Method for Composite Foundation Improved by Combined Piles

2015 ◽  
Vol 777 ◽  
pp. 130-134
Author(s):  
Zhen Feng ◽  
Na Wang ◽  
Yong Da
Keyword(s):  
Bearing Capacity ◽  
Reliability Analysis ◽  
System Reliability ◽  
Control Design ◽  
Probability Of Failure ◽  
Differential Settlement ◽  
Composite Foundation ◽  
Analysis Method ◽  
System Reliability Analysis ◽  
Analysis Theory

Based on bearing capacity and settlement control design methods for composite foundation improved by combined piles,as well as the system reliability analysis theory,the system of reliability analysis for composite foundation can be divided into three sub-systems;that are bearing capacity sub-system,settlement sub-system and differential settlement sub-system.The system probability of failure for composite foundation call be obtained by calculating that of three sub-systems respectively.It provides a method of system reliability analysis for composite foundations improved by combined piles.

Reliability Analysis of Mooring Lines for Deep Water Floating Systems

2012 ◽  
Author(s):  
K. Gurumurthy ◽  
Suhail Ahmad ◽  
A. S. Chitrapu
Keyword(s):  
Dynamic Analysis ◽  
Reliability Analysis ◽  
Deep Water ◽  
Reliability Assessment ◽  
Mooring Line ◽  
Analysis Method ◽  
Mooring Lines ◽  
Line Load ◽  
Coupled Dynamic Analysis ◽  
Floating Systems

Reliability analysis of mooring lines requires an accurate prediction of extreme responses for large number of sea states even for a short-term based approach. In deep water, the interactions between the floater motions and the large number of risers and mooring lines become significant and must be considered for accurate prediction of floater motions as well as line dynamics. Time-domain coupled dynamic analysis procedures have been shown to give more accurate results but at a higher computational expense. Therefore, efficient computational tools are required for reliability analysis of mooring lines for deep water floating systems. Enhanced decoupled dynamic analysis method, in which the floater motions are computed by coupled analysis considering a coarse finite element model of the mooring line, is an efficient method and provides results comparable in accuracy with the fully coupled dynamic analysis procedures. This paper presents the application of enhanced de-coupled dynamic analysis method for reliability assessment of mooring lines for deep water floating systems. For reliability analysis of mooring lines, the methodology presented in Ding et al. [5] is adopted. Reliability analysis of a critically loaded mooring line for a deep water classical spar floater under extreme environmental loads is performed using environmental contour approach. Mooring line tension time histories under various storm conditions are calculated using enhanced de-coupled dynamic analysis. The uncertainty in the predicted maximum mooring line load due to different storm events, variability in met-ocean conditions and numerical models is considered. Probability of failure and the corresponding reliability index of the mooring line are calculated. The impact of variability in predicted mooring line load, line capacities and factors of safety on mooring line reliability are studied. It is seen that enhanced de-coupled dynamic analysis, which predicts the mooring line loads as accurately as coupled dynamic analysis with lesser CPU time, can be used more efficiently for reliability assessment of mooring lines for deep water floating systems.

Fuzzy Mathematical Method of Slope Reliability Analysis in Surface Mine under Seepage Conditions

2014 ◽  
Vol 580-583 ◽  
pp. 89-92
Author(s):  
Kun Yang ◽  
Hua Xue Li ◽  
Hao Han
Keyword(s):  
Reliability Analysis ◽  
Evaluation Method ◽  
Fuzzy Theory ◽  
Reliability Assessment ◽  
Reliability Theory ◽  
Analysis Method ◽  
Surface Mine ◽  
Mine Area ◽  
Point Evaluation ◽  
Fuzzy Point

With the development of the economy, the increasing height of slopes in surface mine will seriously threaten the security in Coal Mine Area. Therefore, how to accurately evaluate slope stability has become one important problem. Based on reliability theory and fuzzy theory, a new reliability analysis method-fuzzy point evaluation method is presented in this paper. It is more practical and efficient for slope reliability assessment because traditional evaluation method doesn’t consider the fuzziness of parameters. As a typical example, we applied the technique to a surface mine case under seepage conditions, and made comparison with the traditional reliability analysis approach. The results indicate that the conclusions from both methods are essentially consistent. However, because considers the fuzziness of parameters, fuzzy point evaluation method has more actual instructive significance comparing with the traditional mothod.

The Study of Reliability Analysis Method Considering The Fault Characteristics of Active Phased Array Antenna

2018 ◽  
Vol 18 (4) ◽  
pp. 291-300
Author(s):  
Seungsang Lee ◽  
Ilhoon Cho ◽  
Junghoon Lee ◽  
Yeonkyeong Park
Keyword(s):  
Reliability Analysis ◽  
Phased Array ◽  
Array Antenna ◽  
Analysis Method ◽  
Phased Array Antenna

An improved dynamic load-strength interference model for the reliability analysis of aero-engine rotor blade system

2020 ◽  
pp. 095441002097289
Author(s):  
Bingfeng Zhao ◽  
Liyang Xie ◽  
Yu Zhang ◽  
Jungang Ren ◽  
Xin Bai ◽  
...  
Keyword(s):  
Reliability Analysis ◽  
Dynamic Load ◽  
Rotor Blade ◽  
Engineering Application ◽  
Weight Ratio ◽  
System Component ◽  
Aero Engine ◽  
Blade System ◽  
Improved Model ◽  
Engine Rotor

As the power source of an aircraft, aero-engine tends to meet many rigorous requirements for high thrust-weight ratio and reliability with the continuous improvement of aero-engine performance. In this paper, based on the order statistics and stochastic process theory, an improved dynamic load-strength interference (LSI) model was proposed for the reliability analysis of aero-engine rotor blade system, with strength degradation and catastrophic failure involved. In presented model, the “unconventional active” characteristic of rotor blade system, changeable functioning relationships and system-component configurations, was fully considered, which is necessary for both theoretical analysis and engineering application. In addition, to reduce the computation cost, a simplified form of the improved LSI model was also built for convenience of engineering application. To verify the effectiveness of the improved model, reliability of turbojet 7 engine rotor blade system was calculated by the improved LSI model based on the results of static finite element analysis. Compared with the traditional LSI model, the result showed that there were significant differences between the calculation results of the two models, in which the improved model was more appropriate to the practical condition.

scholarly journals An Efficient Time-Variant Reliability Analysis Method with Mixed Uncertainties

Algorithms ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 229
Author(s):  
Fangyi Li ◽  
Yufei Yan ◽  
Jianhua Rong ◽  
Houyao Zhu
Keyword(s):  
Reliability Analysis ◽  
Limit State ◽  
Random Variables ◽  
Equivalent Model ◽  
Independent Random Variables ◽  
Problem Analysis ◽  
Analysis Method ◽  
Calculation Algorithm ◽  
Reliability Problem ◽  
Interval Variables

In practical engineering, due to the lack of information, it is impossible to accurately determine the distribution of all variables. Therefore, time-variant reliability problems with both random and interval variables may be encountered. However, this kind of problem usually involves a complex multilevel nested optimization problem, which leads to a substantial computational burden, and it is difficult to meet the requirements of complex engineering problem analysis. This study proposes a decoupling strategy to efficiently analyze the time-variant reliability based on the mixed uncertainty model. The interval variables are treated with independent random variables that are uniformly distributed in their respective intervals. Then the time-variant reliability-equivalent model, containing only random variables, is established, to avoid multi-layer nesting optimization. The stochastic process is first discretized to obtain several static limit state functions at different times. The time-variant reliability problem is changed into the conventional time-invariant system reliability problem. First order reliability analysis method (FORM) is used to analyze the reliability of each time. Thus, an efficient and robust convergence hybrid time-variant reliability calculation algorithm is proposed based on the equivalent model. Finally, numerical examples shows the effectiveness of the proposed method.

scholarly journals Comparison of reliability evaluation methods between China and Canada standards for wood structures featuring duration of load

2020 ◽  
Vol 66 (1) ◽  
Author(s):  
Qiongyao Wu ◽  
Shuang Niu ◽  
Enchun Zhu
Keyword(s):  
Reliability Analysis ◽  
Analysis Method ◽  
Safety Level ◽  
Wood Structures ◽  
Load Effect ◽  
Key Factor ◽  
Live Loads ◽  
High Level ◽  
Partial Factor ◽  
Duration Of Load

Abstract Duration of load (DOL) is a key factor in design of wood structures, which makes the reliability analysis of wood structures more complicated. The importance of DOL is widely recognized, yet the methods and models through which it is incorporated into design codes vary substantially by country/region. Few investigations of the effect of different model assumptions of DOL and other random variables on the results of reliability analysis of wood structures can be found. In this paper, comparisons are made on the reliability analysis methods that underlie the China and the Canada standards for design of wood structures. Main characteristics of these two methods, especially the way how DOL is treated are investigated. Reliability analysis was carried out with the two methods employing the same set of material properties and load parameters. The resulted relationships between reliability index β and resistance partial factor γR* (the β–γR* curves) for four load combinations are compared to study the safety level indicated by the two methods. The comparison shows that the damage accumulation model (Foschi–Yao model) in the Canada analysis method is highly dependent on the type and duration of load, resulting in more conservative design than the China analysis method in loading cases dominated by dead load, but less conservative design in cases of high level of live loads. The characteristics of the load effect term of the performance function are also found to make considerable difference in reliability levels between the two methods. This study aims to provide references for researchers and standard developers in the field of wood structures.

A coupled subset simulation and active learning kriging reliability analysis method for rare failure events

2019 ◽  
Vol 60 (6) ◽  
pp. 2325-2341 ◽  
Author(s):  
Chunyan Ling ◽  
Zhenzhou Lu ◽  
Kaixuan Feng ◽  
Xiaobo Zhang
Keyword(s):  
Active Learning ◽  
Reliability Analysis ◽  
Analysis Method ◽  
Subset Simulation
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