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Structural reliability analysis using the third-moment and Downhill simplex technique | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 195، دوره 13، شماره 1، خرداد 2022، صفحه 2351-2362 اصل مقاله (429.21 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.5933 | ||
| نویسندگان | ||
| Lamia Abdul-Jabbar Dawod* 1؛ Entsar Arebe Fadam2 | ||
| 1College of Health and Medical Technology, Baghdad, Middle Technical University, Iraq | ||
| 2College of Administration and Economics, Department of Statistics, University of Baghdad, Iraq | ||
| تاریخ دریافت: 10 آذر 1400، تاریخ بازنگری: 06 دی 1400، تاریخ پذیرش: 08 دی 1400 | ||
| چکیده | ||
| The concept of structural reliability analysis presented a methodology used to verify the efficiency of an engineering structure in the design and experimentation stage to provide support for a more balanced design between structural integrity and the requirements for it, because it combines probabilistic and statistical techniques with science in the specialized field through the regular and harmonic use of analytical tools, in addition to empirical data available. This is done by calculating the probability of structural failure because it is a measure of how well the studied design works according to the resistance factors (components) on which it depends and strength (operational conditions). There are several techniques used to analyse reliability and compute the probability of structural failure, and among those techniques is the third-moment technique based on the first-order reliability method. In this paper, the researcher proposes the development of the third-moment technique using the Downhill Simplex algorithm, the proposed technique was applied to a numerical example, and it was highly efficient compared to the original third-moment technique. | ||
| کلیدواژه‌ها | ||
| Structural reliability؛ probability of structural failure؛ third-moment؛ Downhill Simplex | ||
| مراجع | ||
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[1] L.A.D. Al-Helfi, Comparison of the Methods of esEstimating the Parameters and Reliability Function for the Lambda Distribution with Four Parameters with Practical Application, Thesis Msc in Statistics of Administration & Economics at the University of Baghdad, 2015. [2] S. Au and Y. Wang, Engineering Risk Assessment with Subset Simulation, John Wiley and Sons, Singapore, 2014. [3] X. Chen and Y. Tung, Investigation of polynomial normal transform, Struct. Safety 25 (2003) 423–445. [4] L.A. Dawod and E.A. Fadam, Analysis of the Structural Reliability of dental filling under the effect of mouthwash G.U.M., Nonlinear Anal. Appl. 12 (2021) 2555-2569. [5] O. Ditlevsen and H. Madsen, Structural Reliability Methods, Wiley, New York, 1996. [6] J. Du, H. Li and Y. He, The method of solving structural reliability with multipara meter correlation problem, Math. Probl. Engin. 2017 (2017) Article ID 6976301. [7] A. Hosni, E. Mesbahi and Y. Pu, Reliability analysis of structures using neural network method, Probab. Engin. Mech. 21 (2006) 44–53. [8] C. Jiang, S. Han, M. Ji and X. Han, A new method to solve the structural reliability index based on homology analysis, Acta Mech. 226 (2014) 1067–1083. [9] B. Keshtegar and S. Chakraborty, An efficient -robust structural reliability method by adaptive finite-step length based on Armijo line search, Reliab. Engin. Syst. Safety 172 (2018) 195–206. [10] D. Kiureghian, M. Asce and P. Liu, Structural reliability under incomplete probability information, J. Engin. Mech. 112 (1986) 85–104. [11] B. Low and WH. Tang, Efficient spreadsheet algorithm for first-order reliability method, J. Engin. Mech. 133 (2007) 1378–1387. [12] Z. Lu, CH. Cai and Y. Zhao, Structural reliability analysis including correlated random variables based on thirdmoment transformation, J. Struct. Engin. 143 (2017). [13] Z. Meng, G. Li, D. Yang and L. Zhan, A new directional stability transformation method of chaos control for first order reliability analysis, Struct. Multidiscip. Optim. 55 (2017) 601–612. [14] B. Nezhad, M. Miri and M. Ghasemi, New neural network-based response surface method for reliability analysis of structures, Neural Computi. Appl. 31 (2017) 777–791. [15] M. Yang, D. Zhang and X. Han, New efficient and robust method for structural reliability analysis and its application in reliability-based design optimization, Meth. Appl. Mech. Engin. 366 (2020). [16] Z. Zhang, C. Jiang, G. Wang and X. Han, . First and second order approximate reliability analysis methods using evidence theory, Reliability Engin. Syst. Safety 137(2015) 40–59. [17] B. Zhao and T. Ono, Third-Moment standardization for structural reliability analysis, J. Struct. Engin. 126 (2000). [18] Y. Zhao and T. Ono, A general procedure first/second-order reliability method (FORM/SORM), Struct. Safety 21 (1999) 95–112. [19] CH. Zhong, M. Wang, CH. Dang, W. Ke and Sh. Guo, First-order reliability method based on Harris Hawks optimization for high-dimensional reliability analysis, Struct. Multidiscip. Optim. 62 (2020) 1951–1968. | ||
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