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大型結(jié)構(gòu)地面模態(tài)試驗測點選擇與優(yōu)化

發(fā)布時間:2018-07-15 18:04
【摘要】:為了解決一般傳統(tǒng)的優(yōu)化算法對于大型結(jié)構(gòu)測點的優(yōu)化配置的失效問題,針對傳統(tǒng)優(yōu)化算法的缺點,對大型結(jié)構(gòu)的模型縮聚技術(shù)做了進一步的改進和完善。引入了一個反映高階模態(tài)貢獻比例的權(quán)重系數(shù),由此提出了一種基于有效獨立法的混合優(yōu)化算法:基于有效獨立法的加權(quán)平均模態(tài)應(yīng)變能系數(shù)法。經(jīng)火箭仿真實例對上述方法及Guyan縮聚基于模態(tài)應(yīng)變能系數(shù)有效獨立法、改進后Guyan縮聚基于模態(tài)應(yīng)變能系數(shù)有效獨立法得到的測點配置效果進行了比較。結(jié)果表明:提出的測點優(yōu)化算法有效地防止了測點分布聚集現(xiàn)象,而且都最大可能保證了所有模態(tài)應(yīng)變能的貢獻和較優(yōu)布置測點具有較大能量的要求,并用實際的GARTEUR飛機模型對該方法進行了模態(tài)試驗驗證。試驗結(jié)果表明,該算法保證了監(jiān)測模態(tài)的完整性和線性無關(guān)性。
[Abstract]:In order to solve the problem of failure of the traditional optimization algorithms for the optimal configuration of large structures, the model condensation technology of large structures is further improved and perfected in view of the shortcomings of the traditional optimization algorithms. This paper introduces a weighted coefficient which reflects the proportion of higher-order modal contribution, and presents a hybrid optimization algorithm based on effective independence method: the weighted average modal strain energy coefficient method based on effective independence method. The results of the above methods and the effective independent method based on the modal strain energy coefficient for Guyan Polycondensation are compared with those obtained by the effective independent method based on the effective Modal strain Energy coefficient of the improved Guyan Polycondensation. The results show that the proposed optimization algorithm can effectively prevent the distribution and aggregation of the measured points, and the contribution of all modal strain energy and the requirement of larger energy for the optimal layout of the measuring points can be guaranteed to the maximum extent. The modal test of this method is carried out with the actual GarTEUR aircraft model. The experimental results show that the proposed algorithm ensures the integrity and linearity independence of the monitoring modes.
【作者單位】: 國營蕪湖機械廠結(jié)構(gòu)部;南京航空航天大學(xué)機械結(jié)構(gòu)力學(xué)及控制國家重點實驗室;
【基金】:國防軍工資助項目 江蘇高校優(yōu)勢學(xué)科建設(shè)工程資助項目
【分類號】:TH113.1

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