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Published in: International Journal of Mechanics and Materials in Design 2/2020

31-07-2019

Uncertain vibration analysis based on the conceptions of differential and integral of interval process

Authors: Jinwu Li, Chao Jiang, Bingyu Ni, Lina Zhan

Published in: International Journal of Mechanics and Materials in Design | Issue 2/2020

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Abstract

Recently, the authors proposed a new mathematical model called as the “interval process model” for quantifying uncertainty of time–varying parameters by making extension of the interval method into the time domain. In the interval process model, the imprecision of a time-varying parameter at arbitrary time point is described using an interval rather than the precise probability distribution, which makes the interval process model having some advantages over the traditional stochastic process in uncertainty quantification. Further, the authors proposed the important conceptions of limit, continuity, differential and integral of interval process, enriching the theory of interval process model. This paper applies the newly developed conceptions of differential and integral of interval process into the vibration analysis of mechanical structures or systems subjected to uncertain external excitations. By means of this application, the formulations of dynamic bounds of the velocity and acceleration responses are derived for the linear/multiple single degree of freedom (SDOF/MDOF) vibration systems subjected to dynamic uncertain excitations, which can provide some important reference information for reliability analysis and safety design of many practical mechanical structures or systems. The effectiveness of the proposed method are validated by investigating a spring-mass-damper system and a vehicle vibration problem.

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Literature
go back to reference Attoh-Okine, N.O.: Uncertainty analysis in structural number determination in flexible pavement design—a convex model approach. Constr. Build. Mater. 16(2), 67–71 (2002) Attoh-Okine, N.O.: Uncertainty analysis in structural number determination in flexible pavement design—a convex model approach. Constr. Build. Mater. 16(2), 67–71 (2002)
go back to reference Ben-Haim, Y.: Convex models of uncertainty in radial pulse buckling of shells. ASME J. Appl. Mech. 60(3), 683–688 (1993)MATH Ben-Haim, Y.: Convex models of uncertainty in radial pulse buckling of shells. ASME J. Appl. Mech. 60(3), 683–688 (1993)MATH
go back to reference Ben-Haim, Y.,: A non-probabilistic concept of reliability. Struct. Saf. 14(4), 227–245 (1994) Ben-Haim, Y.,: A non-probabilistic concept of reliability. Struct. Saf. 14(4), 227–245 (1994) 
go back to reference Ben-Haim, Y.: A non-probabilistic measure of reliability of linear systems based on expansion of convex models. Struct. Saf. 17(2), 91–109 (1995) Ben-Haim, Y.: A non-probabilistic measure of reliability of linear systems based on expansion of convex models. Struct. Saf. 17(2), 91–109 (1995)
go back to reference Ben-Haim, Y., Elishakoff, I.: Convex models of uncertainty in applied mechanics. Elsevier, Amsterdam (1990)MATH Ben-Haim, Y., Elishakoff, I.: Convex models of uncertainty in applied mechanics. Elsevier, Amsterdam (1990)MATH
go back to reference Bi, R.G., Han, X., Jiang, C., Bai, Y.C., Liu, J.: Uncertain buckling and reliability analysis of the piezoelectric functionally graded cylindrical shells based on the nonprobabilistic convex model. Int. J. Comput. Methods 11(06), 1350080 (2014)MathSciNetMATH Bi, R.G., Han, X., Jiang, C., Bai, Y.C., Liu, J.: Uncertain buckling and reliability analysis of the piezoelectric functionally graded cylindrical shells based on the nonprobabilistic convex model. Int. J. Comput. Methods 11(06), 1350080 (2014)MathSciNetMATH
go back to reference Chen, X.-Y., Fan, J.-P., Bian, X.-Y.: Theoretical analysis of non-probabilistic reliability based on interval model. Acta Mech. Solida Sin. 30(6), 638–646 (2017) Chen, X.-Y., Fan, J.-P., Bian, X.-Y.: Theoretical analysis of non-probabilistic reliability based on interval model. Acta Mech. Solida Sin. 30(6), 638–646 (2017)
go back to reference Chen, N., Xia, S., Yu, D., Liu, J., Beer, M.: Hybrid interval and random analysis for structural-acoustic systems including periodical composites and multi-scale bounded hybrid uncertain parameters. Mech. Syst. Signal Process. 115, 524–544 (2019) Chen, N., Xia, S., Yu, D., Liu, J., Beer, M.: Hybrid interval and random analysis for structural-acoustic systems including periodical composites and multi-scale bounded hybrid uncertain parameters. Mech. Syst. Signal Process. 115, 524–544 (2019)
go back to reference Clough, R.W., Penzien, J.: Dynamics of Structures. McGraw-Hill, New York (1975)MATH Clough, R.W., Penzien, J.: Dynamics of Structures. McGraw-Hill, New York (1975)MATH
go back to reference Crandall, S.H., Mark, W.D.: Random Vibration in Mechanical Systems. Academic Press, New York (2014) Crandall, S.H., Mark, W.D.: Random Vibration in Mechanical Systems. Academic Press, New York (2014)
go back to reference Deng, Z., Guo, Z., Zhang, X.: Non-probabilistic set-theoretic models for transient heat conduction of thermal protection systems with uncertain parameters. Appl. Therm. Eng. 95, 10–17 (2016) Deng, Z., Guo, Z., Zhang, X.: Non-probabilistic set-theoretic models for transient heat conduction of thermal protection systems with uncertain parameters. Appl. Therm. Eng. 95, 10–17 (2016)
go back to reference Elishakoff, I., Cai, G.Q., Starnes, J.H.: Non-linear buckling of a column with initial imperfection via stochastic and non-stochastic convex models. Int. J. Non-Linear Mech. 29(1), 71–82 (1994a)MATH Elishakoff, I., Cai, G.Q., Starnes, J.H.: Non-linear buckling of a column with initial imperfection via stochastic and non-stochastic convex models. Int. J. Non-Linear Mech. 29(1), 71–82 (1994a)MATH
go back to reference Elishakoff, I., Elisseeff, P., Glegg, S.A.L.: Nonprobabilistic, convex-theoretic modeling of scatter in material properties. AIAA J. 32(4), 843–849 (1994b)MATH Elishakoff, I., Elisseeff, P., Glegg, S.A.L.: Nonprobabilistic, convex-theoretic modeling of scatter in material properties. AIAA J. 32(4), 843–849 (1994b)MATH
go back to reference Faes, M., Moens, D.: Multivariate dependent interval finite element analysis via convex hull pair constructions and the extended transformation method. Comput. Methods Appl. Mech. Eng. 347, 85–102 (2019)MathSciNet Faes, M., Moens, D.: Multivariate dependent interval finite element analysis via convex hull pair constructions and the extended transformation method. Comput. Methods Appl. Mech. Eng. 347, 85–102 (2019)MathSciNet
go back to reference Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M., Moens, D.: A multivariate interval approach for inverse uncertainty quantification with limited experimental data. Mech. Syst. Signal Process. 118, 534–548 (2019) Faes, M., Broggi, M., Patelli, E., Govers, Y., Mottershead, J., Beer, M., Moens, D.: A multivariate interval approach for inverse uncertainty quantification with limited experimental data. Mech. Syst. Signal Process. 118, 534–548 (2019)
go back to reference Feng, X., Zhang, Y., Wu, J.: Interval analysis method based on Legendre polynomial approximation for uncertain multibody systems. Adv. Eng. Softw. 121, 223–234 (2018) Feng, X., Zhang, Y., Wu, J.: Interval analysis method based on Legendre polynomial approximation for uncertain multibody systems. Adv. Eng. Softw. 121, 223–234 (2018)
go back to reference Gao, W.: Interval finite element analysis using interval factor method. Comput. Mech. 39(6), 709–717 (2007)MATH Gao, W.: Interval finite element analysis using interval factor method. Comput. Mech. 39(6), 709–717 (2007)MATH
go back to reference Ghanem, R.G., Spanos, P.D.: Stochastic finite elements a spectral approach. Springer, New York (1991)MATH Ghanem, R.G., Spanos, P.D.: Stochastic finite elements a spectral approach. Springer, New York (1991)MATH
go back to reference Guo, S.-S., Wang, D., Liu, Z.: Probabilistic analysis of random structural intensity for structural members under stochastic loadings. Int. J. Comput. Methods 12(03), 1550013 (2015)MathSciNetMATH Guo, S.-S., Wang, D., Liu, Z.: Probabilistic analysis of random structural intensity for structural members under stochastic loadings. Int. J. Comput. Methods 12(03), 1550013 (2015)MathSciNetMATH
go back to reference Jensen, H.A., Mayorga, F., Papadimitriou, C.: Reliability sensitivity analysis of stochastic finite element models. Comput. Methods Appl. Mech. Eng. 296, 327–351 (2015)MathSciNetMATH Jensen, H.A., Mayorga, F., Papadimitriou, C.: Reliability sensitivity analysis of stochastic finite element models. Comput. Methods Appl. Mech. Eng. 296, 327–351 (2015)MathSciNetMATH
go back to reference Jiang, C., Li, J.W., Ni, B.Y., Fang, T.: Some significant improvements for interval process model and non-random vibration analysis method. Comput. Methods Appl. Mech. Eng. (2019) (accepted) Jiang, C., Li, J.W., Ni, B.Y., Fang, T.: Some significant improvements for interval process model and non-random vibration analysis method. Comput. Methods Appl. Mech. Eng. (2019) (accepted)
go back to reference Jiang, C., Han, X., Lu, G.Y., Liu, J., Zhang, Z., Bai, Y.C.: Correlation analysis of non-probabilistic convex model and corresponding structural reliability technique. Comput. Methods Appl. Mech. Eng. 200(33), 2528–2546 (2011)MATH Jiang, C., Han, X., Lu, G.Y., Liu, J., Zhang, Z., Bai, Y.C.: Correlation analysis of non-probabilistic convex model and corresponding structural reliability technique. Comput. Methods Appl. Mech. Eng. 200(33), 2528–2546 (2011)MATH
go back to reference Jiang, C., Ni, B.Y., Han, X., Tao, Y.R.: 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 (2014)MathSciNetMATH Jiang, C., Ni, B.Y., Han, X., Tao, Y.R.: 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 (2014)MathSciNetMATH
go back to reference Jiang, C., Zheng, J., Ni, B.Y., Han, X.: A probabilistic and interval hybrid reliability analysis method for structures with correlated uncertain parameters. Int. J. Comput. Methods 12(04), 1540006 (2015)MathSciNetMATH Jiang, C., Zheng, J., Ni, B.Y., Han, X.: A probabilistic and interval hybrid reliability analysis method for structures with correlated uncertain parameters. Int. J. Comput. Methods 12(04), 1540006 (2015)MathSciNetMATH
go back to reference Jiang, C., Liu, N.Y., Ni, B.Y., Han, X.: Giving dynamic response bounds under incertain excitations—a non-random vibration analysis method. Chin. J. Theor. Appl. Mech. 48(2), 447–463 (2016a) Jiang, C., Liu, N.Y., Ni, B.Y., Han, X.: Giving dynamic response bounds under incertain excitations—a non-random vibration analysis method. Chin. J. Theor. Appl. Mech. 48(2), 447–463 (2016a)
go back to reference Jiang, C., Ni, B.Y., Liu, N.Y., Han, X., Liu, J.: Interval process model and non-random vibration analysis. J. Sound Vib. 373, 104–131 (2016b) Jiang, C., Ni, B.Y., Liu, N.Y., Han, X., Liu, J.: Interval process model and non-random vibration analysis. J. Sound Vib. 373, 104–131 (2016b)
go back to reference Li, G., Zhao, G., Zhou, C., Ren, M.: Stochastic elastic properties of composite matrix material with random voids based on radial basis function network. Int. J. Comput. Methods 15(01), 1750082 (2018a)MathSciNetMATH Li, G., Zhao, G., Zhou, C., Ren, M.: Stochastic elastic properties of composite matrix material with random voids based on radial basis function network. Int. J. Comput. Methods 15(01), 1750082 (2018a)MathSciNetMATH
go back to reference Li, J.W., Ni, B.Y., Jiang, C., Fang, T.: Dynamic response bound analysis for elastic beams under uncertain excitations. J. Sound Vib. 422, 471–489 (2018b) Li, J.W., Ni, B.Y., Jiang, C., Fang, T.: Dynamic response bound analysis for elastic beams under uncertain excitations. J. Sound Vib. 422, 471–489 (2018b)
go back to reference Lin, Y.K.: Probabilistic Theory of Structural Dynamics. McGraw Hill, New York (1967) Lin, Y.K.: Probabilistic Theory of Structural Dynamics. McGraw Hill, New York (1967)
go back to reference Liu, Y., Wang, X., Wang, L.: Interval uncertainty analysis for static response of structures using radial basis functions. Appl. Math. Model. 69, 425–440 (2019)MathSciNet Liu, Y., Wang, X., Wang, L.: Interval uncertainty analysis for static response of structures using radial basis functions. Appl. Math. Model. 69, 425–440 (2019)MathSciNet
go back to reference Long, X., Elishakoff, I., Jiang, C., Han, X., Hashemi, J.: Notes on random vibration of a vehicle model and other discrete systems possessing repeated natural frequencies. Arch. Appl. Mech. 84(8), 1091–1101 (2014) Long, X., Elishakoff, I., Jiang, C., Han, X., Hashemi, J.: Notes on random vibration of a vehicle model and other discrete systems possessing repeated natural frequencies. Arch. Appl. Mech. 84(8), 1091–1101 (2014)
go back to reference Long, X.H., Xie, Z.Y., Fan, J., Miao, Y.: Convex model-based calculation of robust seismic fragility curves of isolated continuous girder bridge. Bull. Earthq. Eng. 16(1), 155–182 (2018) Long, X.H., Xie, Z.Y., Fan, J., Miao, Y.: Convex model-based calculation of robust seismic fragility curves of isolated continuous girder bridge. Bull. Earthq. Eng. 16(1), 155–182 (2018)
go back to reference Martin, G.H.: Kinematics and Dynamics of Machines, 2nd edn. McGraw-Hill, New York (1982) Martin, G.H.: Kinematics and Dynamics of Machines, 2nd edn. McGraw-Hill, New York (1982)
go back to reference Meng, Z., Zhou, H.: New target performance approach for a super parametric convex model of non-probabilistic reliability-based design optimization. Comput. Methods Appl. Mech. Eng. 339, 644–662 (2018)MathSciNet Meng, Z., Zhou, H.: New target performance approach for a super parametric convex model of non-probabilistic reliability-based design optimization. Comput. Methods Appl. Mech. Eng. 339, 644–662 (2018)MathSciNet
go back to reference Meng, Z., Zhou, H., Li, G., Yang, D.: A decoupled approach for non-probabilistic reliability-based design optimization. Comput. Struct. 175, 65–73 (2016) Meng, Z., Zhou, H., Li, G., Yang, D.: A decoupled approach for non-probabilistic reliability-based design optimization. Comput. Struct. 175, 65–73 (2016)
go back to reference Ni, B.Y., Jiang, C., Huang, Z.L.: Discussions on non-probabilistic convex modelling for uncertain problems. Appl. Math. Model. 59, 54–85 (2018)MathSciNetMATH Ni, B.Y., Jiang, C., Huang, Z.L.: Discussions on non-probabilistic convex modelling for uncertain problems. Appl. Math. Model. 59, 54–85 (2018)MathSciNetMATH
go back to reference Pantelides, C.P.: Stability of elastic bars on uncertain foundations using a convex model. Int. J. Solids Struct. 33(9), 1257–1269 (1996)MATH Pantelides, C.P.: Stability of elastic bars on uncertain foundations using a convex model. Int. J. Solids Struct. 33(9), 1257–1269 (1996)MATH
go back to reference Protter, M.H., Morrey, C.B.: Intermediate Calculus, 2nd edn. Springer, New York (1985)MATH Protter, M.H., Morrey, C.B.: Intermediate Calculus, 2nd edn. Springer, New York (1985)MATH
go back to reference Sofi, A., Romeo, E., Barrera, O., Cocks, A.: An interval finite element method for the analysis of structures with spatially varying uncertainties. Adv. Eng. Softw. 128, 1–19 (2019) Sofi, A., Romeo, E., Barrera, O., Cocks, A.: An interval finite element method for the analysis of structures with spatially varying uncertainties. Adv. Eng. Softw. 128, 1–19 (2019)
go back to reference Su, H., Li, J., Wen, Z., Fu, Z.: Dynamic non-probabilistic reliability evaluation and service life prediction for arch dams considering time-varying effects. Appl. Math. Model. 40(15), 6908–6923 (2016)MATH Su, H., Li, J., Wen, Z., Fu, Z.: Dynamic non-probabilistic reliability evaluation and service life prediction for arch dams considering time-varying effects. Appl. Math. Model. 40(15), 6908–6923 (2016)MATH
go back to reference Timoshenko, S., Young, D.H., Weaver Jr., W.: Vibration problems in engineering. Wiley, New York (1974) Timoshenko, S., Young, D.H., Weaver Jr., W.: Vibration problems in engineering. Wiley, New York (1974)
go back to reference Truong, V.H., Liu, J., Meng, X., Jiang, C., Nguyen, T.T.: Uncertainty analysis on vehicle-bridge system with correlative interval variables based on multidimensional parallelepiped model. Int. J. Comput. Methods 15(05), 1850030 (2018)MathSciNetMATH Truong, V.H., Liu, J., Meng, X., Jiang, C., Nguyen, T.T.: Uncertainty analysis on vehicle-bridge system with correlative interval variables based on multidimensional parallelepiped model. Int. J. Comput. Methods 15(05), 1850030 (2018)MathSciNetMATH
go back to reference Wang, R., Wang, X., Wang, L., Chen, X.: Efficient computational method for the non-probabilistic reliability of linear structural systems. Acta Mech. Solida Sin. 29(3), 284–299 (2016) Wang, R., Wang, X., Wang, L., Chen, X.: Efficient computational method for the non-probabilistic reliability of linear structural systems. Acta Mech. Solida Sin. 29(3), 284–299 (2016)
go back to reference Xiong, C., Wang, L., Liu, G., Shi, Q.: An iterative dimension-by-dimension method for structural interval response prediction with multidimensional uncertain variables. Aerosp. Sci. Technol. 86, 572–581 (2019) Xiong, C., Wang, L., Liu, G., Shi, Q.: An iterative dimension-by-dimension method for structural interval response prediction with multidimensional uncertain variables. Aerosp. Sci. Technol. 86, 572–581 (2019)
go back to reference Xu, M., Du, J., Chen, J., Wang, C., Li, Y.: An iterative dimension-wise approach to the structural analysis with interval uncertainties. Int. J. Comput. Methods 15(06), 1850044 (2018)MathSciNetMATH Xu, M., Du, J., Chen, J., Wang, C., Li, Y.: An iterative dimension-wise approach to the structural analysis with interval uncertainties. Int. J. Comput. Methods 15(06), 1850044 (2018)MathSciNetMATH
go back to reference Yu, Z.S.: Automobile Theory, 2nd edn. China Machine Press, Beijing (1989) Yu, Z.S.: Automobile Theory, 2nd edn. China Machine Press, Beijing (1989)
go back to reference Zheng, Y., Qiu, Z.: Uncertainty propagation in aerodynamic forces and heating analysis for hypersonic vehicles with uncertain-but-bounded geometric parameters. Aerosp. Sci. Technol. 77, 11–24 (2018) Zheng, Y., Qiu, Z.: Uncertainty propagation in aerodynamic forces and heating analysis for hypersonic vehicles with uncertain-but-bounded geometric parameters. Aerosp. Sci. Technol. 77, 11–24 (2018)
go back to reference Zhou, C., Tang, C., Liu, F., Wang, W.: A probabilistic representation method for interval uncertainty. Int. J. Comput. Methods 15(05), 1850038 (2018)MathSciNetMATH Zhou, C., Tang, C., Liu, F., Wang, W.: A probabilistic representation method for interval uncertainty. Int. J. Comput. Methods 15(05), 1850038 (2018)MathSciNetMATH
Metadata
Title
Uncertain vibration analysis based on the conceptions of differential and integral of interval process
Authors
Jinwu Li
Chao Jiang
Bingyu Ni
Lina Zhan
Publication date
31-07-2019
Publisher
Springer Netherlands
Published in
International Journal of Mechanics and Materials in Design / Issue 2/2020
Print ISSN: 1569-1713
Electronic ISSN: 1573-8841
DOI
https://doi.org/10.1007/s10999-019-09470-0

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