RESEARCH PAPER
A system reliability-based design optimization for the scraper chain of scraper conveyors with dependent failure modes
| 1 | School of Mechanical and Electrical Engineering China University of Mining and Technology No 1, Daxue Road Xuzhou, Jiangsu, 221116 P.R. China |
| 2 | Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment China University of Mining & Technology No 1, Daxue Road Xuzhou, Jiangsu, 221116 P.R. China |
Publication date: 2019-09-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2019;21(3):392–402
KEYWORDS
ABSTRACT
With the incomplete probability information, the joint probability distribution modelling and system reliability-based optimization
design of structural systems with failure interactions are challenging problems in the domain of reliability. This article is designed
to propose a system reliability-based optimization design method for optimizing the scraper chain with multiple failure modes.
Firstly, the common failure modes of the scraper chain are analysed. For each failure mode, a reliability model for the failure
of scraper chains is obtained. Secondly, aiming at the joint failure probability modelling problem, a method for estimating the
failure probability of the scraper chain based on system reliability is proposed. The reliability of scraper chains is calculated by
the stochastic perturbation technique and the four-moment method. And then, the optimization design problem is discussed based
on system reliability. And the optimal model is established. Finally, the effectiveness of the method is verified by the illustrative
example of scraper chains. The proposed joint failure probability estimation method and design optimization are shown in the
example. The results obtained can provide a reference for the optimal design of the scraper chain.
REFERENCES (24)
1.
Akaike H. Factor analysis and AIC. Psychometrika 1987; 52(3): 317-332, https://doi.org/10.1007/BF0229....
2.
Ba-abbad M A, Nikolaidis E, Kapania R K. New Approach for System Reliability-Based Design Optimization. AIAA Journal 2006; 44(5):1087-1096, https://doi.org/10.2514/1.1723....
3.
Burnham K P, Anderson D R. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach. Springer-Verlag New York 2002.
4.
Ditlevsen O. Narrow Reliability Bounds for Structural Systems. Journal of Structural Mechanics 1979; 7(4): 453-472, https://doi.org/10.1080/036012....
5.
Huang X, Jin S, He X, et al. Reliability analysis of coherent systems subject to internal failures and external shocks. Reliability Engineering and System Safety 2019; 181: 75-83, https://doi.org/10.1016/j.ress....
6.
Huang X, Li Y, Zhang Y, et al. A new direct second-order reliability analysis method. Applied Mathematical Modelling 2018; 55: 68-80, https://doi.org/10.1016/j.apm.....
7.
Jiang C, Li W X, Han X, et al. Structural reliability analysis based on random distributions with interval parameters. Computers and Structures 2011; 89(23): 2292-2302, https://doi.org/10.1016/j.comp....
8.
Jiang C, Zhang W, Wang B, et al. Structural reliability analysis using a copula-function-based evidence theory model. Computers and Structures 2014; 143: 19-31, https://doi.org/10.1016/j.comp....
9.
Jiang S B, Zeng Q L, Wang G, et al. Contact Analysis of Chain Drive in Scraper Conveyor Based on Dynamic Meshing Properties. International Journal of Simulation Modelling 2018; 17(1): 81-91, https://doi.org/10.2507/IJSIMM....
10.
Keshtegar B. A Modified Mean Value of Performance Measure Approach for Reliability-Based Design Optimization. Arabian Journal for Science and Engineering 2017; 42(3): 1093-1101, https://doi.org/10.1007/s13369....
11.
Li D, Tang X, Zhou C, et al. Uncertainty analysis of correlated non-normal geotechnical parameters using Gaussian copula. Science China-Technological Sciences 2012; 55(11): 3081-3089, https://doi.org/10.1007/s11431....
12.
Liu P, Li L, Guo S, Xiong L, et al. Optimal design of seasonal flood limited water levels and its application for the Three Gorges Reservoir. Journal of Hydrology 2015; 527: 1045-1053, https://doi.org/10.1016/j.jhyd....
13.
Lu H, Peng Y, Cao S, et al. Parameter Sensitivity Analysis and Probabilistic Optimal Design for the Main-Shaft Device of a Mine Hoist. Arabian Journal for Science and Engineering 2018; 1-9.
14.
Lu H, Zhang Y. Reliability-Based Robust Design for Structural System with Multiple Failure Modes. Mechanics Based Design of Structures and Machines 2011; 39(4): 420-440, https://doi.org/10.1080/153977....
15.
Mishra, S K, Roy B K, Chakraborty S. Reliability-based-design-optimization of base isolated buildings considering stochastic system parameters subjected to random earthquakes. International Journal of Mechanical Sciences 2013; 75(4): 123-133, https://doi.org/10.1016/j.ijme....
16.
Muthukumar S, DesRoches R. A Hertz contact model with non-linear damping for pounding simulation. Earthquake Engineering & Structural Dynamics 2006; 35(7): 811-828, https://doi.org/10.1002/eqe.55....
18.
Patrı́cio, P., The Hertz contact in chain elastic collisions. American Journal of Physics 2004; 72(12): 1488-1491, https://doi.org/10.1119/1.1778....
19.
Pitt, M, Chan D, Kohn R. Efficient Bayesian Inference for Gaussian Copula Regression Models. Biometrika 2006; 93(3): 537-554, https://doi.org/10.1093/biomet....
20.
Rausand, M. System Reliability Theory: Models, Statistical Methods, and Applications. 2nd Edition. A JOHN WILEY & SONS, INC, 2004.
21.
Royset J O, Der Kiureghian A, Polak E. Reliability-based optimal structural design by the decoupling approach. Reliability Engineering and System Safety 2001; 73(3): 213-221, https://doi.org/10.1016/S0951-....
22.
Sklar A. Random Variables, Distribution Functions, and Copulas: A Personal Look Backward and Forward. Lecture Notes-Monograph Series 1996; 28: 1-14, https://doi.org/10.1214/lnms/1....
23.
Tang X S, Li D Q, Zhou C B, et al. Copula-based approaches for evaluating slope reliability under incomplete probability information. Structural Safety 2015; 52: 90-99, https://doi.org/10.1016/j.stru....
24.
Wang H, Zhang Q. Xie F. Dynamic tension test and intelligent coordinated control system of a heavy scraper conveyor. IET Science, Measurement & Technology 2017; 11(7): 871-877, https://doi.org/10.1049/iet-sm....
CITATIONS (7):
1.
Dependency effect on the reliability-based design optimization of complex offshore structure
Aghatise Okoro, Faisal Khan, Salim Ahmed
Reliability Engineering & System Safety
Aghatise Okoro, Faisal Khan, Salim Ahmed
Reliability Engineering & System Safety
2.
A novel fourth-order L-moment reliability method for L-correlated variables
Shuang Cao, Hao Lu, Yuxing Peng, Fengbin Ren
Applied Mathematical Modelling
Shuang Cao, Hao Lu, Yuxing Peng, Fengbin Ren
Applied Mathematical Modelling
3.
Time-dependent reliability and optimal design of scraper chains based on fretting wear process
Shuai Li, Zhencai Zhu, Hao Lu, Gang Shen
Engineering Computations
Shuai Li, Zhencai Zhu, Hao Lu, Gang Shen
Engineering Computations
4.
Residual strength assessment of wind turbine rotor blade composites under combined effects of natural aging and fatigue loads
Jian-Xiong Gao, Zong-Wen An, Qiang Ma, Xue-Zong Bai
Eksploatacja i Niezawodność – Maintenance and Reliability
Jian-Xiong Gao, Zong-Wen An, Qiang Ma, Xue-Zong Bai
Eksploatacja i Niezawodność – Maintenance and Reliability
5.
Reliability modeling based on power transfer efficiency and its application to aircraft actuation system
Xiaoyu Cui, Tongyang Li, Shaoping Wang, Jian Shi, Zhonghai Ma
Eksploatacja i Niezawodność – Maintenance and Reliability
Xiaoyu Cui, Tongyang Li, Shaoping Wang, Jian Shi, Zhonghai Ma
Eksploatacja i Niezawodność – Maintenance and Reliability
6.
DEM Simulation and Experimental Validation of the Performance of an Orchard Deep Applicator for Manure
Shujie Han, Yaping Li, Xinzhao Zhou, Za Kan, Hewei Meng, Jiangtao Qi
Applied Sciences
Shujie Han, Yaping Li, Xinzhao Zhou, Za Kan, Hewei Meng, Jiangtao Qi
Applied Sciences
7.
Dynamic modelling of an armoured face conveyor considering the curved chains
Pengfei Yuan, Baiyan He, Lianhong Zhang
Engineering Computations
Pengfei Yuan, Baiyan He, Lianhong Zhang
Engineering Computations
Share
RELATED ARTICLE
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.