Abstract
Design optimization without considering uncertainties of system variables and parameters can be problematic in real life. In order to take into account the effect of uncertainties, reliable and robust design schemes have proven effective, but limited studies have been reported to compare their difference in a multiobjective framework. This paper takes a typical vehicle structure subject to offset frontal crashing scenario as an example to compare reliable and robust designs with their deterministic counterpart. The thicknesses of some key components of vehicle frontal structures were selected as design variables, the vehicle weight and energy absorption as the objectives, deceleration and firewall intrusion as the constraints. The deterministic multiobjective optimization problem was first solved by adopting Design of Experimental (DOE), metamodels and Non-dominated Sorting Genetic Algorithm II (NSGA-II). Take into account the uncertainties, a Monte Carlo Simulation (MCS) is adopted to generate random distributions of the objective and constraint functions for each design. For the reliability-based optimization the desired reliabilities of 90 %, 95 % and 99 % are considered, respectively. For the robustness-based optimization, two different formulation strategies are adopted. The optimization showed that the reliable and robust Pareto fronts are shifted away from their deterministic counterpart due to uncertainties. The different Pareto fronts yielded from the deterministic, reliable and robust designs are compared to provide some quantitative insights into how to apply these different design schemes for resolving uncertainty problems. It is shown that, compared with the baseline design, the optimizations enhance the crashworthiness of vehicle, though more conservative solutions could have been generated from the reliable and robust optimizations.
Similar content being viewed by others
References
Acar E, Solanki K (2009) System reliability based vehicle design for crashworthiness and effects of various uncertainty reduction measures. Struct Multidiscipl Opti 39(3):311–325
Acar E, Guler MA, Gerceker B, Cerit ME, Bayram B (2011) Multi-objective crashworthiness optimization of tapered thin-walled tubes with axisymmetric indentations. Thin-Walled Struct 49(1):94–105
Apley DW, Liu J, Chen W (2006) Understanding the effects of model uncertainty in robust design with computer experiments. J Mech Des 128(4):945–958
Baril C, Yacout S, Clement B (2011) Design for six sigma through collaborative multiobjective optimization. Comput Ind Eng 60(1):43–55
Buhmann MD (2003) Radial basis functions: theory and implementations. Cambridge University Press, New York
Chen W, Allen JK, Tsui KL, Mistree F (1996) A procedure for robust design: minimizing variations caused by noise factors and control factors. J Mech Des 118(4):478–485
Chuang CH, Yang RJ, Li G, Mallela K, Pothuraju P (2008) Multidisciplinary design optimization on vehicle tailor rolled blank design. Struct Multidiscip Optim 35(6):551–560
Craig KJ, Stander N, Dooge DA, Varadappa S (2005) Automotive crashworthiness design using response surface-based variable screening and optimization. Eng Comput 22(1–2):38–61
Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182–197
Dias JP, Pereira MS (2004) Optimization methods for crashworthiness design using multibody models. Comput Struct 82(17–19):1371–1380
Doltsinis I, Kang Z (2004) Robust design of structures using optimization methods. Comput Methods Appl Mech Eng 193(23–26):2221–2237
Du XP (2012) Reliability-based design optimization with dependent interval variables. Int J Numer Methods Eng 91(2):218–228
Du XP, Chen W (2004) Sequential optimization and reliability assessment method for efficient probabilistic design. J Mech Des 126(2):225–233
Dyn N, Levin D, Rippa S (1986) Numerical procedures for surface fitting of scattered data by radial functions. SIAM J Sci Stat Comput 7(2):639–659
Enevoldsen I, Sorensen JD (1994) Reliability-based optimization in structural engineering. Struct Saf 15(3):169–196
Fang H, Solanki K, Horstemeyer MF (2004) Numerical simulations of multiple vehicle crashes and multidisciplinary crashworthiness optimization. Int J Crashworthiness 10(2):161–171
Fang H, Rais-Rohani M, Liu Z, Horstemeyer MF (2005) A comparative study of metamodeling methods for multiobjective crashworthiness optimization. Comput Struct 83(25–26):2121–2136
Gu L, Yang RJ (2006) On reliability-based optimization methods for automotive structures. Int J Mater Prod Technol 25(1–3):3–26
Gu L, Yang RJ, Tho CH, Makowski M, Faruque O, Li Y (2001) Optimization and robustness for crashworthiness of side impact. Int J Veh Des 26(4):348–360
Gu XG, Sun GY, Li GY, Huang XD, Li YC, Li Q (2012) Multiobjective optimization design for vehicle occupant restraint system under frontal impact. Struct Multidiscip Optim . doi:10.1007/s00158-012-0811-7
Hardy RL (1971) Multiquadric equations of topography and other irregular surfaces. J Geophys Res 76(8):1905–1915
Hou SJ, Li Q, Long SY, Yang XJ, Li W (2008) Multiobjective optimization of multi-cell sections for the crashworthiness design. Int J Impact Eng 35(12):1355–1367
Jansson T, Nilsson L, Moshfegh R (2008) Reliability analysis of a sheet metal forming process using Monte Carlo analysis and metamodels. J Mater Process Technol 202(1–3):255–268
Jiang ZY, Gu MT (2010) Optimization of a fender structure for the crashworthiness design. Mater Des 31(3):1085–1095
Koch PN, Yang RJ, Gu L (2004) Design for six sigma through robust optimization. Struct Multidiscip Optim 26(3–4):235–248
Kodiyalam S, Yang RJ, Gu L, Tho CH (2004) Multidisciplinary design optimization of a vehicle system in scalable, high performance computing environment. Struct Multidiscip Optim 26(3–4):256–263
Kuschel N, Rackwitz R (2000) Optimal design under time-variant reliability constraints. Struct Saf 22(2):113–127
Lanzi L, Castelletti LML, Anghileri M (2004) Multi-objective optimization of composite absorber shape under crashworthiness requirements. Compos Struct 65(3–4):433–441
Lewis EE (1996) Introduction to reliability engineering. Wiley, New York
Li FY, Li GY (2010) Interval-based uncertain multi-objective optimization design of vehicle crashworthiness. CMC-Comput Mater Con 15(3):199–219
Li FY, Luo Z, Sun GY (2011) Reliability-based multiobjective design optimization under interval uncertainty. CMES-Comput Model Eng Sci 74(1):39–64
Liao XT, Li Q, Yang XJ, Li W, Zhang WG (2008a) A two-stage multi-objective optimization of vehicle crashworthiness under frontal impact. Int J Crashworthiness 13(3):279–288
Liao XT, Li Q, Yang XJ, Zhang WG, Li W (2008b) Multiobjective optimization for crash safety design of vehicle using stepwise regression model. Struct Multidiscip Optim 35(6):561–569
Liaw LD, Devries RI (2001) Reliability-based optimization for robust design. Int J Veh Des 25(1–2):64–77
Livermore Software Technology Corporation (2003) LS-Dyna keyword user’s manual (Version 970)
Pan F, Zhu P, Zhang Y (2010) Metamodel-based lightweight design of B-pillar with TWB structure via support vector regression. Comput Struct 88(1–2):36–44
Parrish A, Rais-Rohani M, Najafi A (2012) Crashworthiness optimization of vehicle structures with magnesium alloy parts. Int J Crashworthiness 17(3):259–281
Qu X, Haftka RT (2004) Reliability-based design optimization using probabilistic sufficiency factor. Struct Multidiscip Optim 27(5):314–325
Rais-Rohani M, Solanki KN, Acar E, Christopher D (2010) Shape and sizing optimization of automotive structures with deterministic and probabilistic design constraints. Int J Veh Des 54(4):309–338
Raquel C, Naval P (2005) An effective use of crowding distance in multiobjective particle swarm optimization. In: Proceedings of the 2005 conference on genetic and evolutionary computation, Washington. Assoc Computing Machinery, New York
Redhe M, Forsberg J, Jansson T, Marklund PO, Nilsson L (2002) Using the response surface methodology and the D-optimality criterion in crashworthiness related problems - an analysis of the surface approximation error versus the number of function evaluations. Struct Multidiscip Optim 24(3):185–194
Rubinstein RY (1981) Simulation and the Monte Carlo method. Wiley, New York
Shim T, Velusamy PC (2007) Suspension design and dynamic analysis of a lightweight vehicle. Int J Veh Des 43(1–4):258–280
Sinha K (2007) Reliability-based multiobjective optimization for automotive crashworthiness and occupant safety. Struct Multidiscip Optim 33(3):255–268
Sinha K, Krishnan R, Raghavendra D (2007) Multiobjective robust optimisation for crashworthiness during side impact. Int J Veh Des 43(1–4):116–135
Sun GY, Li GY, Gong ZH, Cui XY, Yang XJ, Li Q (2010a) Multiobjective robust optimization method for drawbead design in sheet metal forming. Mater Des 31(4):1917–1929
Sun GY, Li GY, Hou SJ, Zhou SW, Li W, Li Q (2010b) Crashworthiness design for functionally graded foam-filled thin-walled structures. Mater Sci Eng A 527(7–8):1911–1919
Sun GY, Li GY, Zhou SW, Li HZ, Hou SJ, Li Q (2011) Crashworthiness design of vehicle by using multiobjective robust optimization. Struct Multidiscip Optim 44(1):99–110
Sun GY, Li GY, Li Q (2012) Variable fidelity design based surrogate and artificial bee colony algorithm for sheet metal forming process. Finite Elem Anal Des 59:76–90
Tsui KL (1992) An overview of Taguchi method and newly developed statistical methods for robust design. IIE Trans 24(5):44–57
Tu J, Choi KK, Park YH (1999) A new study on reliability based design optimization. J Mech Des 121(4):557–564
Youn BD, Choi KK, Yang RJ, Gu L (2004) Reliability-based design optimization for crashworthiness of vehicle side impact. Struct Multidiscip Optim 26(3–4):272–283
Yang RJ, Akkerman A, Anderson DF, Faruque OM, Gu L (2000) Robustness optimization for vehicular crash simulations. Comput Sci Eng 2(6):8–13
Yang RJ, Chuang C, Gu L, Li G (2005a) Experience with approximate reliability-based optimization method II: an exhaust system problem. Struct Multidiscip Optim 29(6):488–497
Yang RJ, Wang N, Tho CH, Bohineau JP (2005b) Metamodeling development for vehicle frontal impact simulation. J Mech Des 127(5):1014–1020
Yildiz AR, Solanki KN (2012) Multiobjective optimization of vehicle crashworthiness using a new particle based approach. Int J Adv Manuf Technol 59(1–4):367–376
Yin HF, Wen GL, Hou SJ, Chen K (2011) Crushing analysis and multiobjective crashworthiness optimization of honeycomb-filled single and bitubular polygonal tubes. Mater Des 32(8–9):4449–4460
Zhang Y, Sun GY, Li GY, Luo Z, Li Q (2012) Optimization of foam-filled bitubal structures for crashworthiness criteria. Mater Des 38(6):99–109
Zhu P, Zhang Y, Chen GL (2009) Metamodel-based lightweight design of an automotive front-body structure using robust optimization. Proc Inst Mech Eng Part D-J Automob Eng 223(D9):1133–1147
Zou WP, Zhu YL, Chen HN, Zhang BW (2011) Solving multiobjective optimization problems using artificial bee colony algorithm. Discret Dyn Nat Soc 6(2):182–197
Acknowledgments
This work was supported from National 973 Project of China (2010CB328005), The National Natural Science Foundation of China (61232014, 11202072), The Doctoral Fund of Ministry of Education of China (20120161120005), The Open Fund of Key Laboratory of Manufacture and Test Techniques for Automobile Parts (Chongqing University of Technology), Ministry of Education (KLMT201201), and The Open Fund of Traction Power State Key Laboratory of Southwest Jiaotong University (TPL1206).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Gu, X., Sun, G., Li, G. et al. A Comparative study on multiobjective reliable and robust optimization for crashworthiness design of vehicle structure. Struct Multidisc Optim 48, 669–684 (2013). https://doi.org/10.1007/s00158-013-0921-x
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00158-013-0921-x