Skip to main content
Log in

A multi-point reduced-order modeling approach of transient structural dynamics with application to robust design optimization

  • Research Paper
  • Published:
Structural and Multidisciplinary Optimization Aims and scope Submit manuscript

Abstract

Predicting the transient response of structures by high-fidelity simulation models within design optimization and uncertainty quantification often leads to unacceptable computational cost. This paper presents a reduced-order modeling (ROM) framework for approximating the transient response of linear elastic structures over a range of design and random parameters. The full-order response is projected onto a lower-dimensional basis spanned by modes computed from a proper orthogonal decomposition (POD) of full-order model simulation results at multiple calibration points. The basis is further enriched by gradients of the POD modes with respect to the design/random parameters. A truncation strategy is proposed to compensate for the increase in basis vectors due to the proposed enrichment strategies. The accuracy, efficiency and robustness of the proposed framework are studied with a two-dimensional model problem. The numerical results suggest that the proposed ROM approach is well suited for large parameter changes and that the number of basis vectors needs to be increased only linearly with the number of design and random parameters to maintain a particular ROM performance. The application of the proposed ROM approach to robust shape optimization demonstrates significant savings in computational cost over using full-order models.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Adelman H, Haftka R (1986) Sensitivity analysis of discrete structural systems. AIAA J 24:823–832

    Article  Google Scholar 

  • Akgün M, Garcelon J, Haftka R (2001) Fast exact linear and non-linear structural reanalysis and the Sherman-Morrison-Woodbury formulas. Int J Numer Methods Eng 50:1587–1606

    Article  MATH  Google Scholar 

  • Antoulas AC, Sorensen DC, Gugercin S (2001) A survey of model reduction methods for large-scale systems. Contemp Math 280:193–220

    MathSciNet  Google Scholar 

  • Arian E, Fahl M, Sachs EW (2000) Trust-region proper orthogonal decomposition for flow control. Tech. Rep. ICASE-2000-25, NASA

  • Arora J (1976) Survey of structural reanalysis techniques. ASCE Struct Div 102(4):783–802

    Google Scholar 

  • Austrell PE, Dahblom O, Lindemann J, Olsson A, Olsson KG, Persson K, Petersson H, Ristinmaa M, Sandberg G, Wernbergk PA (1999) Calfem: a finite element toolbox to MATLAB version 3.3. Structural Mechanics, LTH, Sweden. http://www.byggmek.lth.se/Calfem/index.htm

  • Bai Z (2002) Krylov subspace techniques for reduced-order modeling of large-scale dynamical systems. Appl Numer Math 43:9–44

    Article  MATH  MathSciNet  Google Scholar 

  • Balmès E (1996) Parametric families of reduced finite element models. Theory and applications. Mech Syst Signal Process 10(4):381–394

    Article  Google Scholar 

  • Barrault M, Maday Y, Nguyen N, Patera A (2004) An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations. C R Acad Sci Paris Ser I 339:667–672

    MATH  MathSciNet  Google Scholar 

  • Barthelemy JF, Haftka R (1993) Approximation concepts for optimum structural design a review. Struct Optim 5:129–144

    Article  Google Scholar 

  • Bennet J, Botkin M (1985) Structural shape optimization with geometric description and adaptive mesh refinement. AIAA J 23:458–464

    Article  Google Scholar 

  • Beyer HG, Sendhoff B (2007) Robust optimization a comprehensive survey. Comput Methods Appl Mech Eng. doi:10.1016/j.cma.2007.03.003

  • Bouazzouni A, Lallement G, Cogan S (1997) Selecting a Ritz basis for the reanalysis of the frequency response functions of modified structures. J Sound Vib 199(2):309–322

    Article  Google Scholar 

  • Bui-Thanh T, Wilkins AH, Ghattas O (2007a) Parametric reduced-order models for probabilistic analysis of unsteady aerodynamic applications. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, Cambridge

    Google Scholar 

  • Bui-Thanh T, Willcox K, Ghattas O, van Bloeman Waanders B (2007b) Goal-oriented, model-constrained optimization for reduction of large-scale systems. J Comput Phys 224:880–896

    Article  MATH  MathSciNet  Google Scholar 

  • Chen S, Yang X, Wu B (2000a) Static displacement reanalysis of structures using perturbation and padé approximation. Commun Numer Methods Eng 16:75–82

    Article  MATH  Google Scholar 

  • Chen S, Yang XW, Lian HD (2000b) Comparison of several eigenvalue reanalysis methods for modified structures. Struct Multidisc Optim 20:253–259

    Article  Google Scholar 

  • Chen S, Wu X, Yang Z (2006) Eigensolution reanalysis of modified structures using epsilon-algorithm. Int J Numer Methods Eng 66:2115–2130

    Article  MATH  Google Scholar 

  • Chipperfield K, Vance J, Fischer A (2006) Fast meshless reanalysis using combined approximations, preconditioned conjugate gradient, and Taylor series. AIAA J 44:1325–1331

    Article  Google Scholar 

  • Dailey R (1989) Eigenvector derivatives with repeated eigenvalues. AIAA J 27:486–491

    Article  MathSciNet  Google Scholar 

  • Eldred M, Webster C, Constantine P (2008) Design under uncertainty employing stochastic expansion methods. In: 12th AIAA/ISSMO multidisciplinary analysis and optimization conference, AIAA-2008-6001, Victoria, 10–12 Sept 2008

  • Felippa C, Park KC, Farhat C (2001) Partitioned analysis of coupled mechanical systems. Comput Methods Appl Mech Eng 190:3247–3270

    Article  MATH  Google Scholar 

  • Field R (2002) Numerical methods to estimate the coefficients of the polynomial chaos expansion. In: 15th engineering mechanics conference, ASCE, Columbia University, New York, 2–5 June 2002

  • Field R, Red-Horse J, Paez T (2000) A nondeterministic shock and vibration application using polynomial chaos expansions. In: 8th joint specialty conference on probabilistic mechanics and structural reliability, ASCE, South Bend, 24–26 July 2000

  • Frangopol D, Maute K (2003) Life-cycle reliability-based optimization of civil and aerospace structures. Comput Struct 81:397–410

    Article  Google Scholar 

  • Greene WH, Haftka RT (1989) Computational aspects of sensitivity calculations in transient structural analysis. Comput Struct 32:433–443

    Article  Google Scholar 

  • Greene WH, Haftka RT (1991) Computational aspects of sensitivity calculations in linear transient structural analysis. Struct Optim 3:176–201

    Article  Google Scholar 

  • Grepl M, Patera A (2005) A posteriori error bounds for reduced-basis approximations of parametrized parabolic partial differential equations. ESAIM 39:157–181

    Article  MATH  MathSciNet  Google Scholar 

  • Haftka RT, Yates E (1975) Repetitive flutter calculations in structural design. J Aircr 13(7):454–461

    Article  Google Scholar 

  • Haftka RT, Gürdal Z, Kamat MP (1990) Elements of structural optimization. Kluwer Academic, Dordrecht

    MATH  Google Scholar 

  • Heiserer D (2005) Enhanced reanalysis technique for large structural mechanics multi-criteria optimization in automotive body engineering. In: 6th world congress of structural and multidisciplinary optimization, Rio de Janeiro, 30 May–3 June 2005

  • Hinze M, Volkwein S (2005) Proper orthogonal decomposition surrogate models for nonlinear dynamical systems: error estimates and suboptimal control in dimension reduction of large-scale systems. Lecture Notes in Computational Science and Engineering, vol 45. Springer, Heidelberg, pp 261–306

    Google Scholar 

  • Hosder S, Watson L, Grossman B, Mason W, Kim H (2001) Polynomial response surface approximations for the multidisciplinary design optimization of high speed civil transport. Optim Eng 431–452

  • Hurtado J (2002) Reanalysis of linear and nonlinear structures using iterated Shanks transformation. Comput Methods Appl Mech Eng 191:4215–4229

    Article  Google Scholar 

  • Jackson T, Livne E (2006) Design-oriented structural-model order reduction of strain-actuated flight-vehicle structures. J Aircr 43(1):182–188

    Article  Google Scholar 

  • Karpel M, Moulin B, Love M (1997) Modal-based structural optimization with static aeroelastic and stress constraints. J Aircr 34(3):433–440

    Article  Google Scholar 

  • Kirsch U (2000) Combined approximations—a general reanalysis approach for structural optimization. Struct Multidisc Optim 20(2):97–106

    Article  Google Scholar 

  • Kirsch U (2002) A unified reanalysis approach for structural analysis, design, and optimization. Struct Multidisc Optim 25(1):67–85

    MathSciNet  Google Scholar 

  • Kirsch U (2003) Design-oriented analysis of structures—unified approach. J Eng Mech 129(3):264–272

    Article  MathSciNet  Google Scholar 

  • Kirsch U, Papalambros P (2000) Accurate displacement derivatives for structural optimization using approximate reanalysis. Comput Methods Appl Mech Eng 190:3945–3956

    Article  Google Scholar 

  • Kirsch U, Kocvara M, Zowe J (2002) Accurate reanalysis of structures by a preconditioned conjugate gradient method. Int J Numer Methods Eng 55:233–251

    Article  MATH  Google Scholar 

  • Krysl P, Lall S, Marsden J (2001) Dimensional model reduction in non-linear finite element dynamics of solids and structures. Int J Numer Methods Eng 51:479–504

    Article  MATH  MathSciNet  Google Scholar 

  • LeGresley P, Alonso J (2000) Airfoil design optimization using reduced order models based on proper orthogonal decomposition. In: AIAA 2000-2545, fluids conference and exhibit, Denver, 19–22 June 2000

  • Legresley P, Alonso J (2001) Investigation of nonlinear projection for POD based reduced order models for aerodynamics. In: AIAA 2001-16737, 39th aerospace sciences meeting & exhibit, Reno, 8–11 January 2001

  • LeGresley P, Alonso J (2004) Improving the performance of design decomposition methods with POD. In: 10th AIAA/ISSMO multidisciplinary analysis and optimization conference, Albany, August 2000

  • Leu LJ, Tsou CH (2000) Applications of a reduction method for reanalysis to nonlinear dynamic analysis of framed structures. Comput Mech 26:497–505

    Article  MATH  Google Scholar 

  • Livne E, Blando GD (2000) Reduced-order design-oriented stress analysis using combined direct and adjoint solutions. AIAA J 38(5):898–909

    Article  Google Scholar 

  • Madsen J, Shyy W, Haftka R (2000) Response surface techniques for diffuser shape optimization. AIAA J 38:1512–1518

    Article  Google Scholar 

  • Masson G, Ait Brik B, Cogan S, Bouhaddi N (2006) Component mode synthesis (CMS) based on an enriched Ritz approach for efficient structural optimization. J Sound Vib 296:845–860

    Article  Google Scholar 

  • Matthies HG, Meyer M (2003) Nonlinear Galerkin methods for the model reduction of nonlinear dynamical systems. Comput Struct 81:1277–1286

    Article  Google Scholar 

  • Michopoulos JG, Farhat C, Fish J (2005) Survey on modeling and simulation of multiphysics systems. J Comput Inf Sci Eng 5(3):198–213

    Article  Google Scholar 

  • Nair P (2002) Equivalence between the combined approximations technique and Krylov subspace methods. AIAA J 40(5):1021–1023

    Article  Google Scholar 

  • Nair P, Keane A (2002) Stochastic reduced basis methods. AIAA J 40:1653–1664

    Article  Google Scholar 

  • Nguyen N (2005) Reduced-basis approximation and a posteriori error bounds for nonaffine and nonlinear partial differential equations: application to inverse analysis. PhD thesis, Singapore-MIT Alliance, National University of Singapore

  • Noor A (1994) Recent advances and applications of reduction methods. Appl Mech Rev 47:125–146

    Article  Google Scholar 

  • Nurdin H (2002) Mathematical modeling of bias and uncertainty in accident risk assessment. Tech. rep., Mathematical Sciences, University of Twente, The Netherlands

  • Padula SL, Gumbert CR, Li W (2006) Aerospace applications of optimization under uncertainty. Optim Eng 7(3):317–328

    Article  MATH  MathSciNet  Google Scholar 

  • Penzl T (2006) Algorithms for model reduction of large dynamical systems. Linear Algebra Appl 415:322–343

    Article  MATH  MathSciNet  Google Scholar 

  • Ponslet E, Haftka RT, Cudney HH (1992) Improved procedures for eigenvalue approximation and sensitivities for active structures. In: 4th AIAA/AF/NASA/OAI symposium on multidisciplinary analysis and optimization, AIAA 92-4687, Cleveland, 21–23 September 1992, pp 52–62

  • Ravindran S (1999) Proper orthogonal decomposition in optimal control of fluids. Tech. rep., NASA TM-1999-209113

  • Ravindran S (2000) A reduced-order approach for optimal control of fluids using proper orthogonal decomposition. Int J Numer Methods Fluids 34:425–448

    Article  MATH  MathSciNet  Google Scholar 

  • Rong F, Chen S, Chen YD (2003) Structural modal reanalysis for topological modifications with extended kirsch method. Comput Methods Appl Mech Eng 192:697–707

    Article  MATH  Google Scholar 

  • Sandridge C, Haftka R (1987) Accuracy of derivatives of control performance using a reduced structural model. In: 28th structures, structural dynamics and materials conference and AIAA dynamics specialists conference, AIAA 87-0905, Monterey, 6–8 April 1987, pp 622–628

  • Sandridge CA, Haftka RT (1989) Accuracy of eigenvalue derivatives from reduced-order structural models. J Guid Control Dyn 12(6):822–829

    Article  Google Scholar 

  • Sen S, Veroy K, Juynh D, Deparis S, Nguyen N, Patera A (2006) Natural norm a posteriori error estimators for reduced basis approximations. J Comput Phys 217:37–62

    Article  MATH  MathSciNet  Google Scholar 

  • Su TJ, Craig RR (1991) Model reduction and control of flexible structures using Krylov vectors. J Guid Control Dyn 14(2):260–267

    Article  Google Scholar 

  • Svanberg K (1999) The mma for modeling and solving optimization problems. In: 3rd world congress of structural and multidisciplinary optimization Buffalo, 17–21 May 1999

  • Thomas J, Dowell E, Hall K (2001) Three-dimensional transonic aeroelasticity using proper orthogonal decomposition based reduced order models. In: AIAA Paper 2001-1526

  • Weickum MAG, Maute K (2004) Application of reduced order models for the stochastic design optimization of dynamic systems. In: 10th AIAA/ISSMO multidisciplinary analysis and optimization conference, AIAA/ISSMO, Albany, 30 August–1 September 2004

  • Willcox K, Peraire J (2001) Balanced model reduction via the proper orthogonal decomposition. In: AIAA 2001-2611. 15th AIAA computational fluid dynamics conference, Anaheim, 11–14 June 2001

  • Xiu D, Lucor D, Su CH, Karniadakis G (2002) Stochastic modeling of flow-structure interactions using generalized polynomial chaos. J Fluids Eng 124:51–59

    Article  Google Scholar 

  • Yamazaki F, Shinozuka M, Dasgupta G (1988) Neumann expansion for stochastic finite element analysis. J Eng Mech 114:1335–1354

    Article  Google Scholar 

  • Zhang LT, Liu WK, Li SF, Qian D, Hao S (2003) Survey of multi-scale meshfree particle methods. Lect Notes Comput Sci Eng 26:441–458

    MATH  Google Scholar 

  • Zhang WH, Beckers P, Fleury C (1995) A unified parametric design approach to structural shape optimization. Int J Numer Methods Eng 38:2283–2292

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to G. Weickum.

Additional information

Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy’s National Nuclear Security Administration under Contract DE-AC04-94AL85000.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Weickum, G., Eldred, M.S. & Maute, K. A multi-point reduced-order modeling approach of transient structural dynamics with application to robust design optimization. Struct Multidisc Optim 38, 599–611 (2009). https://doi.org/10.1007/s00158-008-0309-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00158-008-0309-5

Keywords

Navigation