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Published in: Structural and Multidisciplinary Optimization 3/2019

26-10-2018 | Research Paper

Response analysis and reliability-based design optimization of structural-acoustic system under evidence theory

Authors: Rugao Gao, Shengwen Yin, Feng Xiong

Published in: Structural and Multidisciplinary Optimization | Issue 3/2019

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Abstract

Evidence theory has a strong ability to deal with epistemic uncertainties whose precise probability distributions cannot be determined according to limited information. For response analysis of the structural-acoustic system under evidence theory, a numerical method named as vertex Taylor expansion moment method (VTPEMM) is proposed. In VTPEMM, the response of the structural-acoustic system in each focal element combination of evidence variables is expanded by the first-order Taylor series and its variational range is evaluated at vertexes of focal elements of evidence variables. Then, a moment method of probability theory is developed to calculate variational ranges of expectation and variance of response. For optimization of the structural-acoustic system under evidence theory, an evidence reliability-based design optimization (RBDO) strategy is developed. In the evidence RBDO, the objective function is efficiently estimated by VTPEMM. To efficiently evaluate the reliability constraint condition, an evidence-based reliability analysis technique (EBRAT) is proposed. A numerical example is provided to investigate the effectiveness of the proposed numerical analysis and optimization techniques.

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Literature
go back to reference Agarwal H, Renaud JE, Preston EL, Padmanabhan D (2004) Uncertainty quantification using evidence theory in multidisciplinary design optimization. Reliab Eng Syst Saf 85(1–3):281–294CrossRef Agarwal H, Renaud JE, Preston EL, Padmanabhan D (2004) Uncertainty quantification using evidence theory in multidisciplinary design optimization. Reliab Eng Syst Saf 85(1–3):281–294CrossRef
go back to reference Alyanak E, Grandhi R, Bae HR (2008) Gradient projection for reliability-based design optimization using evidence theory. Eng Optim 40(10):923–935CrossRef Alyanak E, Grandhi R, Bae HR (2008) Gradient projection for reliability-based design optimization using evidence theory. Eng Optim 40(10):923–935CrossRef
go back to reference Bae HR, Grandhi RV, Canfield RA (2003) Uncertainty quantification of structural response using evidence theory. AIAA J 41(10):2062–2068CrossRef Bae HR, Grandhi RV, Canfield RA (2003) Uncertainty quantification of structural response using evidence theory. AIAA J 41(10):2062–2068CrossRef
go back to reference Bae HR, Grandhi RV, Canfield RA (2004a) Epistemic uncertainty quantification techniques including evidence theory for large-scale structures. Comput Struct 82(13–14):1101–1112CrossRef Bae HR, Grandhi RV, Canfield RA (2004a) Epistemic uncertainty quantification techniques including evidence theory for large-scale structures. Comput Struct 82(13–14):1101–1112CrossRef
go back to reference Bae HR, Grandhi RV, Canfield RA (2004b) An approximation approach for uncertainty quantification using evidence theory. Reliab Eng Syst Saf 86(3):215–225CrossRef Bae HR, Grandhi RV, Canfield RA (2004b) An approximation approach for uncertainty quantification using evidence theory. Reliab Eng Syst Saf 86(3):215–225CrossRef
go back to reference Bai YC, Han X, Jiang C, Liu J (2012) Comparative study of metamodeling techniques for reliability analysis using evidence theory. Adv Eng Softw 53:61–71CrossRef Bai YC, Han X, Jiang C, Liu J (2012) Comparative study of metamodeling techniques for reliability analysis using evidence theory. Adv Eng Softw 53:61–71CrossRef
go back to reference Bai YC, Jiang C, Han X et al (2013) Evidence-theory-based structural static and dynamic response analysis under epistemic uncertainties. Finite Elem Anal Des 68(3):52–62CrossRef Bai YC, Jiang C, Han X et al (2013) Evidence-theory-based structural static and dynamic response analysis under epistemic uncertainties. Finite Elem Anal Des 68(3):52–62CrossRef
go back to reference Beer M, Ferson S, Kreinovich V (2013) Imprecise probabilities in engineering analyses. Mech Syst Signal Process 37(1–2):4–29CrossRef Beer M, Ferson S, Kreinovich V (2013) Imprecise probabilities in engineering analyses. Mech Syst Signal Process 37(1–2):4–29CrossRef
go back to reference Chen N, Yu D, Xia B (2015) Evidence-theory-based analysis for the prediction of exterior acoustic field with epistemic uncertainties. Eng Anal Bound Elem 50:402–411CrossRef Chen N, Yu D, Xia B (2015) Evidence-theory-based analysis for the prediction of exterior acoustic field with epistemic uncertainties. Eng Anal Bound Elem 50:402–411CrossRef
go back to reference Cicirello A, Langley RS (2014) Efficient parametric uncertainty analysis within the hybrid finite element/statistical energy analysis method. J Sound Vib 333(6):1698–1717CrossRef Cicirello A, Langley RS (2014) Efficient parametric uncertainty analysis within the hybrid finite element/statistical energy analysis method. J Sound Vib 333(6):1698–1717CrossRef
go back to reference Du, X.P., Uncertainty analysis with probability and evidence theory, Proceedings of ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (DETC/CIE), Philadelphia, PA, USA, 2006 Du, X.P., Uncertainty analysis with probability and evidence theory, Proceedings of ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (DETC/CIE), Philadelphia, PA, USA, 2006
go back to reference Du L, Choi KK, Youn BD (2006) Inverse possibility analysis method for possibility- based design optimization. AIAA J 44(11):2682–2690CrossRef Du L, Choi KK, Youn BD (2006) Inverse possibility analysis method for possibility- based design optimization. AIAA J 44(11):2682–2690CrossRef
go back to reference Goldberg DE (1989) Genetic algorithms in search, optimization & machine learning. Addison-Wesley, New YorkMATH Goldberg DE (1989) Genetic algorithms in search, optimization & machine learning. Addison-Wesley, New YorkMATH
go back to reference Helton JC, Johnson JD, Oberkampf WL (2004) An exploration of alternative approaches to the representation of uncertainty in model predictions. Reliab Eng Syst Saf 85(1–3):39–71CrossRef Helton JC, Johnson JD, Oberkampf WL (2004) An exploration of alternative approaches to the representation of uncertainty in model predictions. Reliab Eng Syst Saf 85(1–3):39–71CrossRef
go back to reference Helton JC, Johnson JD, Oberkampf WL, Sallaberry CJ (2006) Sensitivity analysis in conjunction with evidence theory representations of epistemic uncertainty. Reliab Eng Syst Saf 91(10–11):1414–1434CrossRef Helton JC, Johnson JD, Oberkampf WL, Sallaberry CJ (2006) Sensitivity analysis in conjunction with evidence theory representations of epistemic uncertainty. Reliab Eng Syst Saf 91(10–11):1414–1434CrossRef
go back to reference Helton JC, Johnson JD, Oberkampf WL, Storlie CB (2007) A sampling-based computational strategy for the representation of epistemic uncertainty in model predictions with evidence theory. Comput Methods Appl Mech Eng 196(37–40):3980–3998MathSciNetCrossRefMATH Helton JC, Johnson JD, Oberkampf WL, Storlie CB (2007) A sampling-based computational strategy for the representation of epistemic uncertainty in model predictions with evidence theory. Comput Methods Appl Mech Eng 196(37–40):3980–3998MathSciNetCrossRefMATH
go back to reference Impollonia N, Muscolino G (2011) Interval analysis of structures with uncertain-but-bounded axial stiffness. Comput Methods Appl Mech Eng 220(21–22):1945–1962CrossRefMATH Impollonia N, Muscolino G (2011) Interval analysis of structures with uncertain-but-bounded axial stiffness. Comput Methods Appl Mech Eng 220(21–22):1945–1962CrossRefMATH
go back to reference Jiang C, Li WX, Han X, Liu LX, Le PH (2011) Structural reliability analysis based on random distributions with interval parameters. Comput Struct 89(23–24):2292–2302CrossRef Jiang C, Li WX, Han X, Liu LX, Le PH (2011) Structural reliability analysis based on random distributions with interval parameters. Comput Struct 89(23–24):2292–2302CrossRef
go back to reference Jiang C, Zhang Z, Han X, Liu J (2013) A novel evidence-theory-based reliability analysis method for structures with epistemic uncertainty. Comput Struct 129:1–12CrossRef Jiang C, Zhang Z, Han X, Liu J (2013) A novel evidence-theory-based reliability analysis method for structures with epistemic uncertainty. Comput Struct 129:1–12CrossRef
go back to reference Marburg S (2002) Developments in structural-acoustic optimization for passive noise control. Arch Comput Methods Eng 9(4):291–370CrossRefMATH Marburg S (2002) Developments in structural-acoustic optimization for passive noise control. Arch Comput Methods Eng 9(4):291–370CrossRefMATH
go back to reference Moens D, Vandepitte D (2006) Recent advances in non-probabilistic approaches for non-deterministic dynamic finite element analysis. Arch Comput Methods Eng 13(3):389–464MathSciNetCrossRefMATH Moens D, Vandepitte D (2006) Recent advances in non-probabilistic approaches for non-deterministic dynamic finite element analysis. Arch Comput Methods Eng 13(3):389–464MathSciNetCrossRefMATH
go back to reference Mourelatos ZP, Zhou J (2005) Reliability estimation and design with insufficient data based on possibility theory. AIAA J 43(8):1696–1705CrossRef Mourelatos ZP, Zhou J (2005) Reliability estimation and design with insufficient data based on possibility theory. AIAA J 43(8):1696–1705CrossRef
go back to reference Mourelatos ZP, Zhou J (2006) A design optimization method using evidence theory. J Mech Des Trans ASME 128(4):901–908CrossRef Mourelatos ZP, Zhou J (2006) A design optimization method using evidence theory. J Mech Des Trans ASME 128(4):901–908CrossRef
go back to reference Oberguggenberger M, Fellin W (2008) Reliability bounds through random sets: non-parametric methods and geotechnical applications. Comput Struct 86(10):1093–1101CrossRef Oberguggenberger M, Fellin W (2008) Reliability bounds through random sets: non-parametric methods and geotechnical applications. Comput Struct 86(10):1093–1101CrossRef
go back to reference Oberkampf WL, Helton JC (2002) Investigation of evidence theory for engineering applications, 43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Denver, Colorado Oberkampf WL, Helton JC (2002) Investigation of evidence theory for engineering applications, 43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Denver, Colorado
go back to reference Ohayon, R., Soize, C., Structural acoustics and vibration: mechanical models, variational formulations and discretization, Academic press, San Diego, 1998 Ohayon, R., Soize, C., Structural acoustics and vibration: mechanical models, variational formulations and discretization, Academic press, San Diego, 1998
go back to reference Shafer G (1976) A mathematical theory of evidence. Princeton University Press, PrincetonMATH Shafer G (1976) A mathematical theory of evidence. Princeton University Press, PrincetonMATH
go back to reference Soundappan P, Nikolaidis E, Haftka RT, Grandhi R, Canfield R (2004) Comparison of evidence theory and Bayesian theory for uncertainty modeling. Reliab Eng Syst Saf 85(1–3):295–311CrossRef Soundappan P, Nikolaidis E, Haftka RT, Grandhi R, Canfield R (2004) Comparison of evidence theory and Bayesian theory for uncertainty modeling. Reliab Eng Syst Saf 85(1–3):295–311CrossRef
go back to reference Tonon F, Bernardini A, Mammino A (2000) Reliability analysis of rock mass response by means of random set theory. Reliab Eng Syst Saf 70(3):263–282CrossRef Tonon F, Bernardini A, Mammino A (2000) Reliability analysis of rock mass response by means of random set theory. Reliab Eng Syst Saf 70(3):263–282CrossRef
go back to reference Vergote, K., Van Genechten, B., Vandepitte, D., Desmet, W., On the analysis of vibro-acoustic systems in the mid-frequency range using a hybrid deterministic-statistical approach, Comput Struct, Vol. 89, No2. 11–12, 2011, pp. 868–877 Vergote, K., Van Genechten, B., Vandepitte, D., Desmet, W., On the analysis of vibro-acoustic systems in the mid-frequency range using a hybrid deterministic-statistical approach, Comput Struct, Vol. 89, No2. 11–12, 2011, pp. 868–877
go back to reference Wang C, Qiu Z (2014) An interval perturbation method for exterior acoustic field prediction with uncertain-but-bounded parameters. J Fluids Struct 49:441–449CrossRef Wang C, Qiu Z (2014) An interval perturbation method for exterior acoustic field prediction with uncertain-but-bounded parameters. J Fluids Struct 49:441–449CrossRef
go back to reference Wang C, Qiu Z, Wang X, Wu D (2014) Interval finite element analysis and reliability-based optimization of coupled structural-acoustic system with uncertain parameters. Finite Elem Anal Des 91:108–114CrossRef Wang C, Qiu Z, Wang X, Wu D (2014) Interval finite element analysis and reliability-based optimization of coupled structural-acoustic system with uncertain parameters. Finite Elem Anal Des 91:108–114CrossRef
go back to reference Xia B, Yu D (2012) Interval analysis of acoustic field with uncertain-but-bounded parameters. Comput Struct 112-113:235–244CrossRef Xia B, Yu D (2012) Interval analysis of acoustic field with uncertain-but-bounded parameters. Comput Struct 112-113:235–244CrossRef
go back to reference Xia B, Yu D (2013) Modified interval perturbation finite element method for a structural-acoustic system with interval parameters. J Appl Mech Trans ASME 80(4):041027.1–041027.8CrossRef Xia B, Yu D (2013) Modified interval perturbation finite element method for a structural-acoustic system with interval parameters. J Appl Mech Trans ASME 80(4):041027.1–041027.8CrossRef
go back to reference Xia B, Yu D (2014a) An interval random perturbation method for structural-acoustic system with hybrid uncertain parameters. Int J Numer Methods Eng 97(3):181–206MathSciNetCrossRefMATH Xia B, Yu D (2014a) An interval random perturbation method for structural-acoustic system with hybrid uncertain parameters. Int J Numer Methods Eng 97(3):181–206MathSciNetCrossRefMATH
go back to reference Xia B, Yu D (2014b) Response analysis of acoustic field with convex parameters. J Vib Acoust 136(4):041017CrossRef Xia B, Yu D (2014b) Response analysis of acoustic field with convex parameters. J Vib Acoust 136(4):041017CrossRef
go back to reference Xia B, Yu D, Liu J (2013) Hybrid uncertain analysis for structural-acoustic problem with random and interval parameters. J Sound Vib 332(11):2701–2720CrossRef Xia B, Yu D, Liu J (2013) Hybrid uncertain analysis for structural-acoustic problem with random and interval parameters. J Sound Vib 332(11):2701–2720CrossRef
go back to reference Xia B, Hui L, Yu D et al (2015) Reliability-based design optimization of structural systems under hybrid probabilistic and interval model. Comput Struct 160:126–134CrossRef Xia B, Hui L, Yu D et al (2015) Reliability-based design optimization of structural systems under hybrid probabilistic and interval model. Comput Struct 160:126–134CrossRef
go back to reference Yin S, Yu D, Yin H et al (2017) Hybrid evidence theory-based finite element/statistical energy analysis method for mid-frequency analysis of built-up systems with epistemic uncertainties. Mech Syst Signal Process 93:204–224CrossRef Yin S, Yu D, Yin H et al (2017) Hybrid evidence theory-based finite element/statistical energy analysis method for mid-frequency analysis of built-up systems with epistemic uncertainties. Mech Syst Signal Process 93:204–224CrossRef
go back to reference Zissimos PM, Jun Z (2005) A design optimization method using evidence theory. J Mech Des 128(4):1153–1161 Zissimos PM, Jun Z (2005) A design optimization method using evidence theory. J Mech Des 128(4):1153–1161
Metadata
Title
Response analysis and reliability-based design optimization of structural-acoustic system under evidence theory
Authors
Rugao Gao
Shengwen Yin
Feng Xiong
Publication date
26-10-2018
Publisher
Springer Berlin Heidelberg
Published in
Structural and Multidisciplinary Optimization / Issue 3/2019
Print ISSN: 1615-147X
Electronic ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-018-2112-2

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