本文選題：連續(xù)剛構(gòu)橋 + 主梁設(shè)計(jì)參數(shù)��； 參考：《昆明理工大學(xué)》2015年碩士論文

【摘要】：預(yù)應(yīng)力混凝土連續(xù)剛構(gòu)橋是一種具有整體性好、受力合理、施工技術(shù)成熟、造價(jià)適中、跨越能力較強(qiáng)和行車舒適等優(yōu)點(diǎn)的橋型,在實(shí)際工程中得到了大量的應(yīng)用,同時(shí)進(jìn)一步發(fā)展前景也非常廣闊。經(jīng)過長(zhǎng)期的設(shè)計(jì)實(shí)踐,連續(xù)剛構(gòu)橋的設(shè)計(jì)參數(shù)得到了逐漸的發(fā)展和優(yōu)化。但是連續(xù)剛構(gòu)橋的分析過程復(fù)雜,設(shè)計(jì)參數(shù)眾多,難以對(duì)其進(jìn)行系統(tǒng)而全面的科學(xué)分析。同時(shí)由于缺乏系統(tǒng)的理論指導(dǎo),設(shè)計(jì)工作往往憑借經(jīng)驗(yàn)進(jìn)行,因此不僅設(shè)計(jì)具有較強(qiáng)的主觀性,而且工作量大、精確度也不高。所以在預(yù)應(yīng)力混凝土連續(xù)剛構(gòu)橋的研究中,根據(jù)已有研究成果,對(duì)主要參數(shù)進(jìn)一步優(yōu)化研究是必要的。本文以云南省某連續(xù)剛構(gòu)橋作為工程背景,通過使用數(shù)值分析、正交試驗(yàn)和遺傳算法對(duì)主梁設(shè)計(jì)參數(shù)的優(yōu)化進(jìn)行了研究,主要完成了以下工作：(1)介紹了國內(nèi)外預(yù)應(yīng)力混凝土連續(xù)剛構(gòu)橋的發(fā)展歷程與研究現(xiàn)狀,并選取主梁參數(shù)中的邊中跨比、根部梁高高跨比、跨中梁高高跨比、梁底曲線線形四個(gè)參數(shù)作為變量,其他設(shè)計(jì)參數(shù)為常量進(jìn)行分析。(2)采用數(shù)值分析方法和正交試驗(yàn)法結(jié)合的方法,以主梁的內(nèi)力、應(yīng)力、撓度、混凝土用量等作為指標(biāo),建立2組共26個(gè)橋梁有限元模型。通過對(duì)計(jì)算結(jié)果的分析,得出了有利于提高主梁跨中性能的參數(shù)組合方式。(3)介紹了啟發(fā)式算法的發(fā)展歷程及遺傳算法的工作原理。在正交試驗(yàn)優(yōu)化成果的基礎(chǔ)上,采用遺傳算法進(jìn)行進(jìn)一步尋優(yōu)計(jì)算。建立了另外一組16個(gè)有限元模型計(jì)算,并對(duì)計(jì)算結(jié)果使用MATLAB遺傳算法工具箱實(shí)現(xiàn)優(yōu)化,得到更為精確參數(shù)組合方式,并與正交試驗(yàn)法相互印證。
[Abstract]:Prestressed concrete continuous rigid frame bridge is a kind of bridge which has the advantages of good integrity, reasonable force, mature construction technology, moderate cost, strong span ability and comfortable driving. It has been widely used in practical engineering. At the same time, the prospects for further development are also very broad. After long-term design practice, the design parameters of continuous rigid frame bridge have been gradually developed and optimized. However, the analysis process of continuous rigid frame bridge is complex and the design parameters are numerous, so it is difficult to carry out systematic and comprehensive scientific analysis of continuous rigid frame bridge. At the same time, because of the lack of systematic theoretical guidance, the design work is often carried out by experience, so the design not only has strong subjectivity, but also has a large workload and low accuracy. Therefore, in the study of prestressed concrete continuous rigid frame bridge, it is necessary to further optimize the main parameters according to the existing research results. In this paper, based on a continuous rigid frame bridge in Yunnan Province, the optimization of the design parameters of the main beam is studied by using numerical analysis, orthogonal test and genetic algorithm. This paper introduces the development history and research status of prestressed concrete continuous rigid frame bridge at home and abroad, and selects the ratio of side to middle span, the ratio of height to span of root beam, the ratio of height to span of span center beam, the ratio of side to middle span of main beam parameter, the ratio of height to span of root beam, and the ratio of height to span of span center beam. The four parameters of the curve line at the bottom of the beam are taken as variables, and the other design parameters are analyzed in constant quantity. (2) the method of numerical analysis and orthogonal test is adopted, and the internal force, stress, deflection and concrete content of the main beam are taken as the indexes. Two groups of 26 bridge finite element models were established. Through the analysis of the calculation results, the parameter combination mode of improving the mid-span performance of the main beam is obtained. The development history of the heuristic algorithm and the working principle of the genetic algorithm are introduced. Based on the optimization results of orthogonal experiments, genetic algorithm is used for further optimization calculation. Another group of 16 finite element models are established and optimized by MATLAB genetic algorithm toolbox. The more accurate combination of parameters is obtained, and the results are verified by orthogonal test.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：U448.23

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本文編號(hào)：1866447