本文選題：懸臂式擋土墻 + 尺寸優(yōu)化��； 參考：《湖北工業(yè)大學(xué)》2017年碩士論文

【摘要】：懸臂式擋土墻結(jié)構(gòu)在工程中被普遍使用,但傳統(tǒng)的trial-and-error設(shè)計方法非常依賴設(shè)計師的經(jīng)驗,且遠(yuǎn)稱不上優(yōu)化。隨著國家正在逐步建設(shè)遍布全國的交通網(wǎng),在“十三五計劃”中提出推進(jìn)“一帶一路”建設(shè),交通基礎(chǔ)建設(shè)被擺在了很重要的位置,懸臂式擋土墻最優(yōu)化設(shè)計不僅能保證擋土墻建設(shè)的安全性,而且具有較強(qiáng)經(jīng)濟(jì)性。首先,在現(xiàn)有的懸臂式擋土墻研究、土壓力理論計算和群智能優(yōu)化算法發(fā)展的基礎(chǔ)上,通過選取9個尺寸設(shè)計變量來描述懸臂式擋土墻不同構(gòu)造,以墻體每米的結(jié)構(gòu)造價作為為目標(biāo)函數(shù),以結(jié)構(gòu)尺寸限制和擋墻穩(wěn)定性條件為約束條件,利用內(nèi)點罰函數(shù)處理約束條件,建立了懸臂式擋土墻結(jié)構(gòu)的尺寸約束最優(yōu)化模型,編制了python優(yōu)化程序。然后,結(jié)合一個工程實際問題,分別采用常規(guī)的懸臂式擋土墻設(shè)計方法與采用啟發(fā)式算法—遺傳算法(GA)、粒子群算法(PSO)、模擬退火(SA)—智能設(shè)計方法對懸臂式擋土墻最優(yōu)化模型進(jìn)行了求解,通過計算該模型所花費的時間和最終結(jié)果的優(yōu)劣,得出常規(guī)設(shè)計中的用鋼量是啟發(fā)式算法設(shè)計用鋼量的2~3倍,常規(guī)設(shè)計中單位長度最低造價是啟發(fā)式算法設(shè)計單位長度最低造價的兩倍,啟發(fā)式算法可有效的應(yīng)用于懸臂式擋土墻的尺寸最優(yōu)化智能設(shè)計中,同時對比了各個算法的可行性和效率性。最后,利用可行且高效的求解了懸臂式擋土墻最優(yōu)化模型的計算程序,通過只單獨選取一個參數(shù)進(jìn)行分析,其他參數(shù)保持不變,對比分析了懸臂式擋土墻優(yōu)化設(shè)計結(jié)果對有效內(nèi)摩擦角、地表載荷、填土重度和基底摩擦系數(shù)變化的靈敏度,得出懸臂式擋土墻造價對地表載荷的變化最敏感,對內(nèi)摩擦角與填土重度較為敏感,對基底摩擦系數(shù)最不敏感。
[Abstract]:Cantilever retaining wall structure is widely used in engineering, but the traditional trial-and-error design method is very dependent on the designer's experience, and is far from optimal. As the country is gradually building throughout the transportation network, in the "13th Five-Year plan" put forward "The Belt and Road construction, traffic infrastructure construction is placed in a very the important position of the cantilever retaining wall optimization design can not only ensure the safety of the retaining wall construction, but also has a strong economy. Firstly, the research on the existing cantilever retaining wall, foundation soil pressure calculation and swarm intelligent optimization algorithms on the development, through the selection of 9 design variables to describe the different structure of cantilever retaining wall and as the objective function is the cost per meter of wall structure, the structure size limit and the stability of retaining wall as the constraint condition, the internal penalty function and constraints , built the cantilever retaining wall structure size optimization model, a python optimization program. Then, combined with a practical engineering problem, respectively with conventional cantilever retaining wall design method and a heuristic algorithm - genetic algorithm (GA), particle swarm algorithm (PSO), simulated annealing (SA) - intelligent the design method for solving optimization model of cantilever retaining wall, through the model time and the final result, the conventional design of steel consumption is 2~3 times the amount of steel the heuristic algorithm design, the conventional design of unit length of the minimum cost is two times the minimum cost per unit length heuristic algorithm design. The design of Intelligent Heuristic Algorithm for size optimization applied to the cantilever retaining wall, and compared the feasibility and efficiency of the proposed algorithm. Finally, the use of feasible and efficient To solve the calculation procedure of cantilever retaining wall optimization model, through the analysis of only one parameter is selected, the other parameters remain unchanged, comparative analysis of the cantilever retaining wall optimization design results of the effective internal friction angle, surface load, friction coefficient and sensitivity of severe basal change fill, obtained the most sensitive cantilever retaining wall to change cost the surface load, angle and filling are sensitive to severe internal friction, the friction coefficient is not sensitive to the substrate.

【學(xué)位授予單位】：湖北工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TU476.4

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