【摘要】：在傳統(tǒng)的結(jié)構(gòu)優(yōu)化設(shè)計(jì)研究中,設(shè)計(jì)變量通常被視為確定的量,并沒(méi)有考慮它們可能產(chǎn)生的的不確定性,這也最終會(huì)導(dǎo)致結(jié)構(gòu)性能的不穩(wěn)定。因此有必要考慮設(shè)計(jì)變量實(shí)際中存在的變差,本文即以火炮中的典型部件為研究對(duì)象,研究和探索了結(jié)構(gòu)穩(wěn)健優(yōu)化設(shè)計(jì)方法在典型機(jī)械結(jié)構(gòu)中的應(yīng)用。 首先對(duì)結(jié)構(gòu)穩(wěn)健優(yōu)化設(shè)計(jì)方法進(jìn)行了深入的研究,在iSIGHT中進(jìn)行了優(yōu)化算法的二次開(kāi)發(fā),將多島遺傳算法與改進(jìn)Hooke-Jeeves算法相結(jié)合,提出一種基于組合優(yōu)化算法的6σ結(jié)構(gòu)穩(wěn)健優(yōu)化設(shè)計(jì)方法。 其次建立了閉氣結(jié)構(gòu)和后大架的三維實(shí)體參數(shù)化模型,并在ABAQUS里進(jìn)行靜力學(xué)剛強(qiáng)度分析,評(píng)估其結(jié)構(gòu)性能。在iSIGHT中,搭建結(jié)構(gòu)穩(wěn)健優(yōu)化設(shè)計(jì)平臺(tái),集成PRO/E和ABAQUS,實(shí)現(xiàn)機(jī)械結(jié)構(gòu)的“設(shè)計(jì)—分析—穩(wěn)健優(yōu)化—再設(shè)計(jì)”。 最后提出一種中心加密試驗(yàn)設(shè)計(jì)方法,對(duì)初始設(shè)計(jì)空間進(jìn)行更加有效的探索；為了得到設(shè)計(jì)響應(yīng)和設(shè)計(jì)變量之間的關(guān)系,需要進(jìn)行大量的實(shí)驗(yàn),這必將消耗大量的資源和時(shí)間,因而本文分析研究了響應(yīng)面與Kriging兩種近似模型,將Kriging近似模型應(yīng)用到實(shí)例中,極大地降低了計(jì)算時(shí)間；多島遺傳算法中的遷移操作保持了優(yōu)化解的多樣性,提高了包含全局最優(yōu)解的機(jī)會(huì),但收斂速度較慢,本文開(kāi)發(fā)的改進(jìn)Hooke-Jeeves算法,可以進(jìn)行有效的局部加速搜索,提高了得到全局最優(yōu)解的機(jī)會(huì),應(yīng)用本文開(kāi)發(fā)的這種組合優(yōu)化算法,可以很好的提高結(jié)構(gòu)穩(wěn)健優(yōu)化設(shè)計(jì)的效率。 閉氣結(jié)構(gòu)與后大架穩(wěn)健優(yōu)化設(shè)計(jì)的成功,說(shuō)明了本文研究與探索的結(jié)構(gòu)穩(wěn)健優(yōu)化設(shè)計(jì)方法是具有一定的實(shí)用價(jià)值,可以解決機(jī)械結(jié)構(gòu)設(shè)計(jì)中的一些實(shí)際問(wèn)題。
[Abstract]:In the traditional research of structural optimization design, design variables are usually regarded as deterministic quantities, and the uncertainties that they may produce are not considered, which will eventually lead to instability of structural performance. Therefore, it is necessary to consider the variation of design variables in practice. In this paper, the application of structural robust optimization design method in typical mechanical structures is studied and explored, taking the typical parts of artillery as the research object. Firstly, the structure robust optimization method is deeply studied, and the optimization algorithm is redeveloped in iSIGHT. The multi-island genetic algorithm is combined with the improved Hooke-Jeeves algorithm. A 6 蟽 structure robust optimal design method based on combinatorial optimization algorithm is proposed. Secondly, the three-dimensional solid parameterized model of the air-closed structure and the rear frame is established, and the statically rigid strength analysis is carried out in ABAQUS to evaluate its structural performance. In iSIGHT, the structural robust optimization design platform is built, and PRO/E and ABAQUS, are integrated to realize the "design-analysis-robust optimization-re-design" of mechanical structures. Finally, a central encryption experiment design method is proposed to explore the initial design space more effectively. In order to obtain the relationship between design response and design variables, a large number of experiments are needed, which will consume a lot of resources and time. Therefore, the response surface and Kriging approximation models are analyzed and studied in this paper, and the Kriging approximation model is applied to an example, which greatly reduces the computing time, and the migration operations in the multi-island genetic algorithm maintain the diversity of the optimal solutions. The opportunity to include the global optimal solution is improved, but the convergence rate is slow. The improved Hooke-Jeeves algorithm developed in this paper can carry out effective local acceleration search and improve the chance of obtaining the global optimal solution. It can improve the efficiency of structural robust optimization design. The success of the structural robust optimization design of the closed air structure and the rear frame shows that the structural robust optimization design method studied and explored in this paper is of certain practical value and can solve some practical problems in the mechanical structure design.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2011
【分類(lèi)號(hào)】：TH122

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