摘要
针对阻尼材料滞弹性位移场模型多参数、多目标、非线性优化问题,给出了一种粒子群算法与序列二次规划法相结合的多参数变量寻优解法,并将模型优化结果与标准流变学模型、分数导数模型及试验结果进行了比较。基于ADF数学模型建立了粘弹性集中参数系统及阻尼夹芯板结构的动力学方程,并进行了结构模态响应分析及阻尼预测。计算结果表明:该组合寻优解法不仅能得到较好的最优解,而且确定出的模型参数准确可信,优化后的ADF模型能很好的再现阻尼材料的本构特征。
An optimization algorithm composed of particle swarm optimization(PSO) and sequential quadratic programming(SQP) algorithm was presented for multi-parameter,multi-objective and nonlinear optimization of an ADF model of structural damping material.The results were compared with those of a standard rheologic model,a fractional derivative model and tests.Based on the ADF mathematical model,dynamic models of a viscoelastic lumped parameter system and a damping sandwich board were established,and the modal analysis and damping prediction were conducted.The results showed that the proposed method can not only obtain the better optimal solution,but also obtain the correct and reliable model parameters better describing the constitutive characteristics of damping material.
出处
《振动与冲击》
EI
CSCD
北大核心
2011年第8期264-268,共5页
Journal of Vibration and Shock
基金
国家973项目(2010CB736104)
国家863项目(2006AA110102)
汽车噪声振动和安全技术国家重点实验室开放基金(NVHSKL-201102)
关键词
阻尼材料
ADF模型
PsO-SQP混合算法
多参数优化
动力特性
damping material
anelastic displacement field(ADF) model
PSO-SQP hybrid algorithm
multi-parameter optimization
dynamic characteristics
