Abstract
The non-probabilistic reliability in higher dimensional situations cannot be calculated efficiently using traditional methods, which either require a large amount of calculation or cause significant error. In this study, an efficient computational method is proposed for the calculation of non-probabilistic reliability based on the volume ratio theory, specifically for linear structural systems. The common expression for non-probabilistic reliability is obtained through formula derivation with the amount of computation considerably reduced. The compatibility between non-probabilistic and probabilistic safety measures is demonstrated through the Monte Carlo simulation. The high efficiency of the presented method is verified by several numerical examples.
Similar content being viewed by others
References
Elishakoff, I., Probabilistic Theory of Structures. New York: Courier Dover Publications, 1999.
Ditlevsen, O. and Madsen, H.O., Structural Reliability Methods. Chichester: John Wiley & Sons Ltd, 1996.
Madsen, H.O., Krenk, S. and Lind, N.C., Methods of Structural Safety. New York: Courier Dover Publications, 2006.
Lemaire, M., Structural Reliability. Chichester: John Wiley & Sons Ltd, 2009.
Wang, G.Y., On the development of uncertain structural mechanics. Advances in Mechanics, 2002, 32(2): 205–211 (in Chinese).
Ben-Haim, Y., A non-probabilistic concept of reliability. Structural Safety, 1994, 14(4): 227–245.
Elishakoff, I., A new safety factor based on convex modelling. Machine Intelligence and Pattern Recognition, 1994, 17: 145–145.
Guo, S.X., A non-probabilistic model of structural reliability based on interval analysis. Chinese Journal of Computational Mechanics, 2001, 18(1): 56–60.
Wang, X.J., Qiu, Z.P. and Elishakoff, I., Non-probabilistic set-theoretic model for structural safety measure. Acta Mechanica, 2008, 198(1): 51–64.
Hong, D.P., Ma, X.B., Zhao, Y. and Shen, L.J., Non-probabilistic model for structural reliability based on tolerance analysis. Journal of Mechanical Engineering, 2010, 46(4): 157–162 (in Chinese).
Sun, H.L. and Yao, W.X., Possibility degree method for structural interval reliability analysis. China Mechanical Engineering, 2008, 19(12): 1483–1488.
Liu, X. and Zhang, A.R., Research on the non-probabilistic reliability based on interval model. Applied Mechanics and Materials, 2012, 166: 1908–1912.
Jiang, C., Bi, R., Lu, G. and Han, X., Structural reliability analysis using non-probabilistic convex model. Computer Methods in Applied Mechanics and Engineering, 2013, 254(2): 83–98.
Huang, H.Z., Wang, Z.L., Li, Y.F., Huang, B., Xiao, N.C. and He, L.P., A nonprobabilistic set model of structural reliability based on satisfaction degree of interval. Mechanika, 2011, 17(1): 85–92.
Jiang, C., Han, X., Lu, G.Y., Liu, J., Zhang, Z.Q. and Bai, Y.C., Correlation analysis of non-probabilistic convex model and corresponding structural reliability technique. Computer Methods in Applied Mechanics and Engineering, 2011, 200(33): 2528–2546.
Meng, G.W., Sun, Z.Z., Li, F. and Zhou, L.M., Interval perturbation method to structural non-probabilistic reliability analysis. Advanced Materials Research, 2013: 712–715: 1527–1530.
Meng, G.W., Hao, Y., Li, F. and Zhou, L.M., Structural non-probabilistic reliability analysis based on imperialist competitive algorithm. Advanced Materials Research, 2013, 712–715: 1501–1505.
Gao, L. and Mu, H.S., Research of non-probabilistic reliability of soil structure of high-grade highway based on interval analysis. Applied Mechanics and Materials, 2013, 351: 1571–1575.
Datta, D., Non-probabilistic uncertainty analysis of analytical and numerical solution of heat conduction. International Journal of Energy, Information and Communications, 2011, 2(4): 143–156.
Zou, T., Yu, Z., Cai, M. and Liu, J., Two non-probabilistic methods for uncertainty analysis in accident reconstruction. Forensic Science International, 2010, 198(1): 134–137.
Wang, L., Wang, X.J. and Xia, Y., Hybrid reliability analysis of structures with multi-source uncertainties. Acta Mechanica, 2014, 225(2): 413–430.
Jiang, C., Han, X., Liu, J. and Zhang, Z., A hybrid reliability approach based on probability and interval for uncertain structures. Journal of Mechanical Design, 2012, 134(3): 310–311.
Peng, W.J., Huang, X.X. and Ge, R., The analysis and optimization of the reliability of laminates based on probabilistic and non-probabilistic hybrid model. Advanced Materials Research, 2013, 629: 752–756.
Penmetsa, R.C. and Grandhi, R.V., Efficient estimation of structural reliability for problems with uncertain intervals. Computers & Structures, 2002, 80(12): 1103–1112.
Hall, J.W. and Lawry, J., Generation, combination and extension of random set approximations to coherent lower and upper probabilities. Reliability Engineering & System Safety, 2004, 85(1): 89–101.
Karanki, D.R., Kushwaha, H.S., Verma, A.K. and Ajit, S., Uncertainty analysis based on probability bounds (P-Box) approach in probabilistic safety assessment. Risk Analysis, 2009, 29(5): 662–675.
Gao, W., Wu, D., Song, C., Tin-Loi, F. and Li, X., Hybrid probabilistic interval analysis of bar structures with uncertainty using a mixed perturbation Monte-Carlo method. Finite Elements in Analysis and Design, 2011, 47(7): 643–652.
Jiang, C., Lu, G., Han, X. and Liu L., A new reliability analysis method for uncertain structures with random and interval variables. International Journal of Mechanics and Materials in Design, 2012, 8(2): 169–182.
Ben-Haim, Y. and Elishakoff, I., Convex Models of Uncertainty in Applied Mechanics. Amsterdam: Elsevier Science Ltd, 1990.
Elishakoff, I. and Ben-Haim, Y., Discussion on: A non-probabilistic concept of reliability. Structural Safety, 1995, 17(3): 195–199.
Elishakoff, I., Safety Factors and Reliability: Friends or Foes? Berlin: Springer Netherlands, 2004.
Moore, R.E., Methods and Applications of Interval Analysis. Philadelphia: Society for Industrial Mathematics, 1987.
Alefeld, G. and Herzberger, J., Introduction to Interval Computation. Cambridge: Academic Press, 1984.
Guo, S.X. and Lv, Z.Z., Hybrid probabilistic and non-probabilistic model of structural reliability. Journal of Mechanical Strength, 2002, 24(4): 524–526 (in Chinese).
Ni, Z. and Qiu, Z.P., Procedure for analyzing the fuzzy reliability of structural system when parameters of probabilistic models are fuzzy. Engineering Mechanics, 2009, 26(7): 28–34 (in Chinese).
Author information
Authors and Affiliations
Corresponding author
Additional information
Project supported by the major research project (No. MJ-F-2012-04), Defense Industrial Technology Development Program (No. JCKY2013601B001) and the National Natural Science Foundation of China (Nos. 11372025, 11432002 and 11572024). Besides, the authors wish to express their many thanks to the reviewers for their useful and constructive comments.
Rights and permissions
About this article
Cite this article
Wang, R., Wang, X., Wang, L. et al. Efficient computational method for the non-probabilistic reliability of linear structural systems. Acta Mech. Solida Sin. 29, 284–299 (2016). https://doi.org/10.1016/S0894-9166(16)30162-8
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1016/S0894-9166(16)30162-8