本文選題：連續(xù)深梁 + GESO算法��； 參考：《湖南大學(xué)》2015年碩士論文

【摘要】：隨著高層建筑功能的多樣化,連續(xù)深梁的應(yīng)用逐漸廣泛。目前,我國《混凝土結(jié)構(gòu)設(shè)計(jì)規(guī)范》(GB50010-2010)雖然給出連續(xù)深梁應(yīng)采用二維彈性分析求得的內(nèi)力進(jìn)行設(shè)計(jì)的原則,但缺乏明確的計(jì)算模型和可靠的承載力計(jì)算公式,使得實(shí)際工程中連續(xù)深配筋設(shè)計(jì)的經(jīng)濟(jì)性及安全性都有待商榷。拉-壓桿模型由于能真實(shí)反應(yīng)深梁的傳力機(jī)制,設(shè)計(jì)思路清楚,已被多國規(guī)范采納,成為復(fù)雜受力構(gòu)件的推薦設(shè)計(jì)方法。但是,如何得到合理的符合工程實(shí)際的拉-壓桿模型,仍然是工程設(shè)計(jì)研究工作中的一個(gè)重大難題。劉霞、易偉建將遺傳算法和ESO算法結(jié)合在一起,形成了一種新的ESO—遺傳演化結(jié)構(gòu)優(yōu)化算法(簡稱GESO),可根據(jù)此算法得到比較合理的鋼筋混凝土深梁拓?fù)鋱D形。不過,對(duì)于連續(xù)深梁而言,根據(jù)它們的GESO拓?fù)鋱D形建立拉-壓桿模型依然是一個(gè)繁瑣與困難的過程。本文將采用GESO算法對(duì)連續(xù)深梁模型進(jìn)行拓?fù)鋬?yōu)化,然后運(yùn)用基于GESO拓?fù)鋱D形的應(yīng)力配筋法對(duì)模型進(jìn)行配筋,并對(duì)比按中國規(guī)范配筋的結(jié)果進(jìn)行有限元分析。本文的主要研究工作和成果如下:1、運(yùn)用遺傳演化結(jié)構(gòu)優(yōu)化算法得到共13根無孔、開孔、跨數(shù)不同、荷載不同和開孔大小、位置、數(shù)目不同的連續(xù)深梁的拓?fù)鋱D形,并結(jié)合一些滿足Michell準(zhǔn)則的典型平面應(yīng)變場總結(jié)它們的圖形規(guī)律。2、選取其中9根富有代表性的深梁模型,分別用本文提出的基于GESO的配筋方法和中國規(guī)范配筋方法進(jìn)行配筋�；贕ESO的配筋方法可直接從拓?fù)鋬?yōu)化結(jié)果得到桿件的內(nèi)力進(jìn)行配筋,它比美國規(guī)范中重新建立拉-壓桿模型再計(jì)算所得的桿件內(nèi)力要精確與方便。3、應(yīng)用專業(yè)的鋼筋混凝土分析軟件ATENA對(duì)上述9組18根連續(xù)深梁配筋構(gòu)件進(jìn)行非線性有限元分析,模擬其裂縫開展、極限承載力、破壞形態(tài),以及分析影響連續(xù)深梁構(gòu)件受力性能的幾個(gè)要素,并對(duì)兩種配筋方法做出比較。
[Abstract]:With the diversification of high-rise building functions, continuous deep beam is widely used. At present, the Code for Design of concrete structures in China (GB50010-2010) gives the principle that continuous deep beams should be designed by using the internal force obtained by two-dimensional elastic analysis, but it lacks a clear calculation model and reliable formula for calculating the bearing capacity. It makes the economy and safety of continuous deep reinforcement design open to question. The tension-compression bar model has been adopted by many countries because it can truly reflect the force transfer mechanism of deep beam and has been adopted by many countries. It has become the recommended design method for complex load-bearing members. However, it is still a major problem in engineering design research to obtain a reasonable pull-bar model which is in accordance with the engineering practice. Liu Xia, Yi Weijian combines genetic algorithm with ESO algorithm to form a new ESO-genetic evolutionary structure optimization algorithm (Geso), which can be used to obtain reasonable topological figure of reinforced concrete deep beam. However, for continuous deep beams, it is still a tedious and difficult process to establish a pull-compression bar model based on their GESO topology. In this paper, the GESO algorithm is used to optimize the topology of the continuous deep beam model, and then the stress reinforcement method based on the GESO topological graph is applied to the reinforcement of the model, and the finite element analysis is carried out according to the results of the Chinese code of reinforcement. The main work and results of this paper are as follows: 1. By using genetic evolutionary structural optimization algorithm, the topological patterns of 13 continuous deep beams with different sizes, positions and numbers of holes and loads are obtained. Combining with some typical plane strain fields satisfying the Michell criterion, the graph law of them is summarized. Among them, 9 representative deep beam models are selected, and the reinforcement method based on GESO and the Chinese standard reinforcement method proposed in this paper are used respectively. The reinforcement method based on GESO can get the internal force of the bar directly from the result of topological optimization. It is more accurate and convenient than the internal force calculated by re-establishing the pull-compression bar model in the American Code. Using the professional reinforced concrete analysis software ATENA, the nonlinear finite element analysis of the above 9 groups of 18 continuous deep beam reinforced members is carried out. It simulates the crack development, ultimate bearing capacity, failure form, and analyzes several factors that affect the mechanical behavior of continuous deep beam members, and makes a comparison between the two reinforcement methods.
【學(xué)位授予單位】：湖南大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TU973.12

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