Technical Papers
May 31, 2017

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.

Get full access to this article

View all available purchase options and get full access to this article.

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.

Information & Authors

Information

Published In

Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 30Issue 5September 2017

History

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

Permissions

Request permissions for this article.

Authors

Affiliations

Bin Bai, A.M.ASCE [email protected]
Postdoctor, College of Mechanical Engineering and Applied Electronics Technology, Beijing Univ. of Technology, Pingleyuan 100, Chaoyang District, Beijing 100022, China; Postdoctor, Beijing Key Laboratory for the Nonlinear Vibration and Strength of Mechanical Structures, Beijing Univ. of Technology, Pingleyuan 100, Chaoyang District, Beijing 100022, China (corresponding author). E-mail: [email protected]
Professor, Beijing Key Laboratory for the Nonlinear Vibration and Strength of Mechanical Structures, Beijing Univ. of Technology, Pingleyuan 100, Chaoyang District, Beijing 100022, China; Postdoctor, College of Mechanical Engineering and Applied Electronics Technology, Beijing Univ. of Technology, Pingleyuan 100, Chaoyang District, Beijing 100022, China; Lecturer, School of Energy and Power Engineering, Beihang Univ., Beijing 100191, China. E-mail: [email protected]
Postdoctor, Beijing Key Laboratory for the Nonlinear Vibration and Strength of Mechanical Structures, Beijing Univ. of Technology, Pingleyuan 100, Chaoyang District, Beijing 100022, China; Professor, College of Mechanical Engineering and Applied Electronics Technology, Beijing Univ. of Technology, Pingleyuan 100, Chaoyang District, Beijing 100022, China. E-mail: [email protected]
Postdoctor, Beijing Key Laboratory for the Nonlinear Vibration and Strength of Mechanical Structures, Beijing Univ. of Technology, Pingleyuan 100, Chaoyang District, Beijing 100022, China; Postdoctor, College of Mechanical Engineering and Applied Electronics Technology, Beijing Univ. of Technology, Pingleyuan 100, Chaoyang District, Beijing 100022, China; Lecturer, School of Energy and Power Engineering, Beihang Univ., Beijing 100191, China. E-mail: [email protected]
Guangchen Bai [email protected]
Professor, School of Energy and Power Engineering, Beihang Univ., Beijing 100191, China. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share