本文關(guān)鍵詞：基于SKO的電除塵器板殼加強(qiáng)筋結(jié)構(gòu)優(yōu)化研究　出處：《上海交通大學(xué)》2012年碩士論文　論文類型：學(xué)位論文

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【摘要】：結(jié)構(gòu)拓?fù)鋬?yōu)化設(shè)計(jì)方法是近年來結(jié)構(gòu)優(yōu)化設(shè)計(jì)研究領(lǐng)域中的前沿課題和熱點(diǎn)問題，也是結(jié)構(gòu)優(yōu)化設(shè)計(jì)中的重點(diǎn)和難點(diǎn)。與尺寸優(yōu)化和形狀優(yōu)化相比，結(jié)構(gòu)拓?fù)鋬?yōu)化需要確定的參數(shù)更多，取得的經(jīng)濟(jì)效益更大，對(duì)工程設(shè)計(jì)人員更具吸引力。隨著結(jié)構(gòu)拓?fù)鋬?yōu)化理論的進(jìn)一步發(fā)展和完善，其應(yīng)用于工程實(shí)踐的條件也日趨成熟。例如應(yīng)用于離散結(jié)構(gòu)拓?fù)鋬?yōu)化的基結(jié)構(gòu)法，應(yīng)用于連續(xù)體結(jié)構(gòu)拓?fù)鋬?yōu)化的均勻化方法、變厚度法、變密度法等都得到了長(zhǎng)足的進(jìn)展。 本文深入研究了一種國(guó)內(nèi)外研究較少的結(jié)構(gòu)拓?fù)鋬?yōu)化方法—SKO（Soft KillOption）方法，并運(yùn)用APDL語言實(shí)現(xiàn)了以ANSYS為平臺(tái)的基于SKO理論的結(jié)構(gòu)拓?fù)鋬?yōu)化設(shè)計(jì)方法。SKO方法是基于自然界的生物生長(zhǎng)的自適應(yīng)成長(zhǎng)機(jī)理，即在承載大的區(qū)域增加材料，在承載小的區(qū)域減小材料。在結(jié)構(gòu)設(shè)計(jì)中則要求結(jié)構(gòu)內(nèi)部滿足常應(yīng)力公理或滿應(yīng)力準(zhǔn)則。 本論文首先研究SKO方法中彈性模量與應(yīng)力的關(guān)系式，這是SKO方法中的關(guān)鍵問題，并分析ANSYS軟件平臺(tái)下連續(xù)體的SKO優(yōu)化方法的軟件實(shí)現(xiàn)方法；然后以板殼結(jié)構(gòu)加強(qiáng)筋為研究對(duì)象，建立板殼結(jié)構(gòu)加強(qiáng)筋分布仿生設(shè)計(jì)方法的數(shù)學(xué)模型，分析其仿生設(shè)計(jì)方法，用該方法研究板殼結(jié)構(gòu)的基結(jié)構(gòu)的構(gòu)建、加強(qiáng)筋的偏置、截面類型的設(shè)計(jì)和加強(qiáng)筋截面尺寸優(yōu)化，之后按照ANSYS二次開發(fā)技術(shù)對(duì)板殼結(jié)構(gòu)加強(qiáng)筋分布仿生設(shè)計(jì)方法進(jìn)行軟件實(shí)現(xiàn)。最后利用所提出的方法對(duì)大型電除塵器的出口煙箱進(jìn)行了拓?fù)鋬?yōu)化設(shè)計(jì)。結(jié)果表明，利用本文提出的方法，可對(duì)機(jī)械工程中的板殼結(jié)構(gòu)進(jìn)行快速的拓?fù)鋬?yōu)化設(shè)計(jì)，得到近似的優(yōu)化模型。與傳統(tǒng)的經(jīng)驗(yàn)式的結(jié)構(gòu)設(shè)計(jì)相比，本文提出的設(shè)計(jì)方法不僅能快速得到近似的優(yōu)化模型，而且還大大縮短了設(shè)計(jì)周期，提高了設(shè)計(jì)效率。
[Abstract]:Topology optimization design method of structure optimization in recent years is a frontier subject and a hot topic in the research field of design, but also the structure optimization design of the key and difficult. Compared with size optimization and shape optimization, topology optimization parameters need to be determined to obtain economic benefits more, more, more attractive for Engineers. With the further development of structural topology optimization theory and its application in perfect engineering practice gradually. For example, applied to the base structure method of discrete topology optimization, homogenization method is applied to the continuum structure topology optimization, variable thickness method, variable density method has been considerable progress.
This paper studies a topology optimization method of SKO research at home and abroad (Soft KillOption) method, and the realization of the SKO theory of topology optimization design method of.SKO method is the adaptive nature of biological growth and growth mechanism based on ANSYS platform using APDL language, which increase the material in the large area of bearing in a small area, the bearing material decreases. In the structural design is required to meet the internal structure of the constant stress axioms or full stress criterion.
This paper first studies the relation between the elastic modulus of the SKO method and stress, which is the key problem in the SKO method, and the analysis of ANSYS software platform software SKO optimization method of continuum method; then by shell structurereinforcement as the research object, establishing the mathematical model of bionic design method of shell structure with strong gluten distribution and analysis of the bionic design method, construction of base structure of the shell structure of the method, bias stiffener, cross section type of design and reinforcement section size optimization, after the two time in accordance with the development technology of ANSYS structure reinforcement distribution bionic design software of the shell. Finally, using the proposed method the outlet box of large scale electrostatic precipitator for the topology optimization design. The results show that using the method proposed in this paper, the shell structure in mechanical engineering for the topology optimization design of fast The approximate optimization model is obtained. Compared with the traditional experiential structural design, the proposed design method can not only get the approximate optimization model quickly, but also greatly shorten the design cycle and improve the design efficiency.

【學(xué)位授予單位】：上海交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：X701.2;TH122

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