Abstract
In vehicle body manufacturing, there are small differences between the actual value and design value of, for example, plate thickness and material characteristics. This is caused by the processing technology, environment and other uncertain factors. Therefore, the performance of the vehicle body processed according to the deterministic optimization solution fluctuates. The fluctuations may make structural performance fail to meet the design requirements. Thus, in this study, an optimization design is executed with 6\( \sigma \) robustness criteria and a Monte Carlo simulation single-loop optimization strategy based on the radial basis function neural network approximate model considering deviations in plate thickness, elastic modulus, and welding spot diameter, which is called the uncertainty optimization design method. As an example, considering the bending stiffness, torsion stiffness, and first-order frequency as constraints, the method is applied to the lightweight design of a car body structure, and the reliability of deterministic optimization design and uncertainty optimization design is compared. The results demonstrate that the uncertainty optimization design solution is effective and feasible without lowering the static stiffness and modal performance, and the weight is reduced.
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References
Lin, X.H., Feng, Y.X., Tan, J.R., et al.: Robust optimization design method for quality characteristics of mechanical products based on quantifier constraints. J. Mech. Eng. 49(15), 169–179 (2013)
Du, X.P., Guo, J., Beeram, H.: Sequential optimization and reliability assessment for multidisciplinary systems design. Struct. Multidiscip. Optim. 35(2), 117–130 (2008)
Liu, Z.F., Atamturktur, S., Juang, H.C.: Reliability based multi-objective robust design optimization of steel moment resisting frame considering spatial variability of connection parameters. Eng. Struct. 76, 393–403 (2014)
Cui, J., Zhang, W.G., Chang, W.B., et al.: Optimization design of collision safety robustness based on double response surface model. J. Mech. Eng. 47(24), 97–103 (2011)
Zhang, Y., Li, G.Y., Zhong, Z.H.: Research on application of reliability-based multidisciplinary design optimization in lightweight design of thin-walled beams. China Mech. Eng. 20(15), 1885–1889 (2009)
Qiu, R.B., Chen, Y., Lei, F., et al.: Research on lightweight of b-pillar for car side impact body based on 6σ robust design. Mech. Strength 38(03), 502–508 (2016)
Xie, R., Lan, F.C., Chen, J.Q., et al.: Multi-objective optimization method of lightweight body structure to meet reliability requirements. Chin. J. Mech. Eng. 47(4), 117–124 (2011)
Chen, G.D., Han, X.: Multi-objective optimization method based on agent model and its application in vehicle body design. J. Mech. Eng. 50(09), 70 (2014)
Chan, C.L., Low, B.K.: Probabilistic analysis of laterally loaded piles using response surface and neural network approaches. Comput. Geotech. 43, 101–110 (2012)
Goel, T., Stander, N.: Comparing three error criteria for selecting radial basis function network topology. Comput. Methods Appl. Mech. Eng. 198(27–29), 2137–2150 (2009)
Biancardi, M., Villani, G.: Robust Monte Carlo method for R&D real options valuation. Comput. Econ. 49(3), 481–498 (2017)
Chen, C., Yu, D.K.: Lightweight design of medium passenger car frame based on relative sensitivity analysis. Automot. Technol. 06, 27–30 (2014)
Lai, Y.Y.: Isight parametric optimization theory and detailed examples. Beijing University of Aeronautics and Astronautics Press, Beijing (2012)
Ekbal, A., Saha, S.: Combining feature selection and classifier ensemble using a multiobjective simulated annealing approach: application to named entity recognition. Soft. Comput. 17(1), 1–16 (2013)
Acknowledgements
This study was supported by the National Natural Science Foundation of China (51775193) and the Science and Technology Planning Project of Guangdong Province, China (2016A050503021, 2015B0101137002, and 2017B010119001).
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Zhou, J., Lan, F., Chen, J. et al. Uncertainty Optimization Design of a Vehicle Body Structure Considering Random Deviations. Automot. Innov. 1, 342–351 (2018). https://doi.org/10.1007/s42154-018-0041-9
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DOI: https://doi.org/10.1007/s42154-018-0041-9