Interval Nonprobabilistic Analysis Based on a Dynamic Substructural Collaborative Finite-Element Method for Aeroengine Blisks
Publication: Journal of Aerospace Engineering
Volume 30, Issue 5
Abstract
Based on fewer uncertain parameters of aeroengine blisks in statistics, a new measurement methodology is presented, which is called the interval nonprobabilistic analysis based on the dynamic substructural collaborative finite-element method (INP-DSFEM). Firstly, on the basis of the basic theory of nonprobabilistic reliability analysis, the definition of uncertainty and its extension are proposed. The expression formula of performance function is also deduced. Then, the interval variables and interval matrix of blisks are investigated, including the reduced interval bladed model, reduced interval disk model, and comprehensive hybrid interface reduced interval blisks model; moreover, the interval finite-element dynamics equation is also built. The basic thought of this method is to compare the performance range with the structural requirement range to determine the extent of security and reliability. The system will be at failure if the performance range is beyond the requirement range; however, if the performance range is in the requirement range, the system will be safe. When the upper and lower performance boundaries are not near the structural requirement, the structural range limitation of the uncertain parameter is smaller, and the structural robustness parameter is greater. It is a convenient calculation, and the permission variation boundary of uncertain parameters can be given explicitly. Finally, the nonprobabilistic analysis of blisks is investigated by INP-DSFEM, and the uncertainty of modal and vibratory response for tuned and mistuned blisks are calculated by INP-DSFEM; compared with those for the tuned blisks, the uncertainties of the modal and vibratory response for the mistuned blisks decreased. Meanwhile, a method called interval nonprobabilistic-ellipsoidal convex model (INP-ECM) is adopted to verify the reasonability and effectiveness of INP-DSFEM. Therefore, the presented methodology in this paper is a choice for the reliability calculation of aeroengine blisks, which is as a beneficial supplement for the probabilistic analysis.
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Acknowledgments
This work has been supported by the National Natural Science Foundation of China (Grant No. 51375032) and the Beijing Postdoctoral Research Foundation (Grant No. 2016ZZ-12).
References
Bai, B., Bai, G. C., and Li, C. (2015a). “Application of multi-stage multi-objective multi-disciplinary agent model based on dynamic substructural method in mistuned blisk.” Aerosp. Sci. Technol., 46, 104–115.
Bai, B., Bai, G. C., Li, C., and Zhao, H. Y. (2015b). “Vibratory characteristic analysis of integral mistuned bladed disk assemblies for aeroengine.” Proc. Inst. Mech. Eng. Part C J. Mech. Eng. Sci., 229(16), 2921–2938.
Bai, Y. C., Han, X., Jiang, C., and Bi, R. G. (2014). “A response-surface-based structural reliability analysis method by using non-probabilistic convex model.” Appl. Math. Model., 38(15–16), 3834–3847.
Ben-Haim, Y. (1993). “Convex models of uncertainty in radial pulse buckling of shells.” J. Appl. Mech., 60(3), 683.
Ben-Haim, Y. (1995). “A non-probabilistic measure of reliability of linear systems based on expansion of convex models.” Struct. Saf., 17(2), 91–109.
Cao, S. S., Lei, J. Q., and Zhang, K. (2014). “The non-probabilistic reliability analysis of stayed-cable based on the interval algorithm.” Appl. Mech. Mater., 455, 267–273.
Dai, Q., Zhou, C. Y., Peng, J., Chen, X. W., and He, X. H. (2013). “Non-probabilistic defect assessment for structures with cracks based on interval model.” Nucl. Eng. Design, 262, 235–245.
Deng, Z. M., Guo, Z. P., and Zhang, X. D. (2016). “Non-probabilistic set-theoretic models for transient heat conduction of thermal protection systems with uncertain parameters.” Appl. Therm. Eng., 95, 10–17.
Elishakoff, I. (1995). “Discussion on a non-probabilistic concept of reliability.” Struct. Saf., 17(3), 195–199.
Guo, S. X., and Li, Y. (2013). “Non-probabilistic method and reliability-based optimal LQR design for vibration control of structures with uncertain-but-bounded parameters.” ACTA Mech. Sin., 29(6), 864–874.
Guo, S. X., and Lu, Z. Z. (2015). “A non-probabilistic robust reliability method for analysis and design optimization of structures with uncertain-but-bounded parameters.” Appl. Math. Model., 39(7), 1985–2002.
Jiang, C., Bi, R. G., Lu, G. Y., and Han, X. (2013). “Structural reliability analysis using non-probabilistic convex model.” Comput. Methods Appl. Mech. Eng., 254, 83–98.
Jiang, C., Han, X., Lu, G. Y., Liu, J., Zhang, Z., and Bai, Y. C. (2011). “Correlation analysis of non-probabilistic convex model and corresponding structural reliability technique.” Comput. Methods Appl. Mech. Eng., 200(33–36), 2528–2546.
Jiang, C., Ni, B. Y., Han, X., and Tao, Y. R. (2014). “Non-probabilistic convex model process: A new method of time-variant uncertainty analysis and its application to structural dynamic reliability problems.” Comput. Methods Appl. Mech. Eng., 268, 656–676.
Kang, Z., Luo, Y. J., and Li, A. (2011). “On non-probabilistic reliability-based design optimization of structures with uncertain-but-bounded parameters.” Struct. Saf., 33(3), 196–205.
Li, F. Y., Luo, Z., Rong, J. H., and Hu, L. (2013). “Non-probabilistic reliability-based optimization of structures using convex models.” Comput. Model. Eng. Sci., 95(6), 423–452.
Liu, X., Xu, G. N., and Yang, P. (2011). “Non-probabilistic reliability analysis based on interval interference & disjoint model.” Adv. Mater. Res., 338, 166–170.
Marano, G. C., and Quaranta, G. (2010). “A new possibilistic reliability index definition.” Acta Mech., 210(3–4), 291–303.
Meng, Z., Hao, P., Li, G., Wang, B., and Zhang, K. (2015). “Non-probabilistic reliability -based design optimization of stiffened shells under buckling constraint.” Thin Walled Struct., 94, 325–333.
Qiu, Z., and Wang, J. (2010). “Reliability study of fracture mechanics based non-probabilistic interval analysis model.” Fatigue Fract. Eng. Mater. Struct., 33(9), 539–548.
Sun, W. C., Yang, Z. C., and Li, K. F. (2013). “Non-deterministic fatigue life analysis using convex set models.” Sci. China Phys. Mech. Astron., 56(4), 765–774.
Wang, L., Wang, X. J., Chen, X., and Wang, R. X. (2015). “Time-variant reliability model and its measure index of structures based on a non-probabilistic interval process.” Acta Mech., 226(10), 3221–3241.
Wang, X. J., Xia, Y., Zhou, X. Q., and Yang, C. (2014). “Structural damage measure index based on non-probabilistic reliability model.” J. Sound Vibr., 333(5), 1344–1355.
Xia, B. Z., and Yu, D. J. (2014). “An interval random perturbation method for structural-acoustic system with hybrid uncertain parameters.” Int. J. Numer. Methods Eng., 97(3), 181–206.
Xiao, N. C., Huang, H. Z., Li, Y. F., Wang, Z. L., and Zhang, X. L. (2013). “Non-probabilistic reliability sensitivity analysis of the model of structural systems with interval variables whose state of dependence is determined by constraints.” Proc. Inst. Mech. Eng. Part O J. Risk Reliab., 227(5), 491–498.
Xu, B. (2015). “Dynamic non-probabilistic reliability-based topology optimization of truss with uncertain-but-bounded parameters.” J. Vibr. Control, 21(12), 2484–2496.
Yang, L. J., Nie, S. L., and Zhang, A. Q. (2013). “Non-probabilistic wear reliability analysis of swash-plate/slipper of water hydraulic piston motor based on convex model.” Proc. Inst. Mech. Eng. Part C- J. Mech. Eng. Sci., 227(3), 609–619.
Zhang, Y. S., Liu, Y. S., Yang, X. F., and Zhao, B. (2015). “An efficient Kriging method for global sensitivity of structural reliability analysis with non-probabilistic convex model.” Proc. Inst. Mech. Eng. Part O J. Risk Reliab., 229(5), 442–455.
Zhang, Y. W., Zang, J., Fang, B., and Ji, S. D. (2014). “Dynamic characteristics of integrated active and passive whole-spacecraft vibration isolation platform based on non-probabilistic reliability.” Trans. Japan Soc. Aeronaut. Space Sci., 57(5), 263–271.
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©2017 American Society of Civil Engineers.
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Received: Oct 10, 2016
Accepted: Feb 27, 2017
Published online: May 31, 2017
Published in print: Sep 1, 2017
Discussion open until: Oct 31, 2017
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