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随机激励下基于Kriging模型的车辆悬架多目标优化 被引量:2

MULTI-OBJECTIVE STOCHASTIC DYNAMIC OPTIMIZATION FOR VEHICLE SUSPENSION SYSTEMS BASED ON KRIGING MODEL
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摘要 为改善车辆行驶的舒适性并减小轮胎动载荷对道路的损伤,以某型客车为研究对象,建立多目标优化模型。在路面不平顺激励下,采用虚拟激励法求解车辆悬架随机振动响应,构建Kriging模型,并用求解多目标结构优化的中心法对车辆悬架参数进行优化。算例结果表明,虚拟激励法与Kriging模型相结合,能较好地求解车辆悬架优化问题,具有更好的效率和稳定性。 In order to improve vehicle ride comfort and reduce the damage to road by tyre dynamic load,a new approach is addressed for designing vehicle suspension systems based on the scheme of multi-objective programming.A four-degrees-of-freedom linear model is used to describe the dynamic behavior of vehicles running on randomly profiled roads.The road irregularity is regarded as a Gaussian random process.The random dynamic responses of vehicle suspension systems are solved by the pseudo excitation method.And the Kriging model is used to build the approximate mapping relationship between the design variables and the responses.The optimal solutions are derived by means of the method of centers for structural optimization with multiple objectives.Numerical examples are given,and compared with other optimization methods.
出处 《机械强度》 CAS CSCD 北大核心 2011年第4期511-517,共7页 Journal of Mechanical Strength
基金 国家自然科学基金(10972048) 减震控制与结构安全开放实验室资助~~
关键词 多目标优化 虚拟激励法 KRIGING模型 中心法 Multi-objective optimization method Pseudo excitation method Kriging model Center method
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参考文献15

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