基于灰色理論的PC連續(xù)剛構(gòu)橋線形控制研究
發(fā)布時間：2019-03-13 16:03
【摘要】：為了使PC連續(xù)剛構(gòu)橋的內(nèi)力、位置等情況盡可能的與設(shè)計值吻合,必須在橋梁施工時對其進行準確合理的線形控制。橋梁的線形控制中最重要的就是橋梁預(yù)拱度的設(shè)置問題。本文簡要闡述橋梁線形控制的相關(guān)理論,以及線形控制中預(yù)測預(yù)拱度的方法,著重研究用灰色理論預(yù)測模型作為預(yù)拱度預(yù)測的方法。在原有灰色理論預(yù)測模型法基礎(chǔ)上,提出一種修改原模型中背景值與緊鄰均值的新預(yù)測模型,通過對幾組數(shù)據(jù)的對比研究證明其具有更高的預(yù)測精度。最后,結(jié)合某大型PC連續(xù)剛構(gòu)橋?qū)嵗?通過運用有限元軟件MIDAS/CIVIL建立剛構(gòu)橋模型,并將70~73四個節(jié)點預(yù)拱度的理論設(shè)計值與施工測量值的比值作為原始數(shù)據(jù)代入新預(yù)測模型,再將預(yù)測的下一節(jié)段預(yù)拱度的數(shù)值與實際測量值進行比對,結(jié)果證明:改進的灰色理論預(yù)測模型在橋梁預(yù)拱度的預(yù)測上,滿足施工精度的要求,可以用來指導(dǎo)橋梁的線形施工問題。
[Abstract]:In order to make the internal force and position of PC continuous rigid frame bridge coincide with the designed value as much as possible, it is necessary to carry out accurate and reasonable linear control during the construction of the bridge. The most important problem in the linear control of bridge is the setting of bridge pre-camber. In this paper, the relevant theory of bridge alignment control and the prediction method of pre-camber in linear control are briefly described, and the grey theory prediction model is emphatically studied as the prediction method of pre-camber. On the basis of the original grey theory prediction model, a new prediction model is proposed, which modifies the background value and the close neighbor mean value in the original model. The comparison of several sets of data proves that it has higher prediction accuracy. Finally, combined with an example of a large-scale PC continuous rigid frame bridge, the rigid frame bridge model is established by using the finite element software MIDAS/CIVIL, and the ratio of the theoretical design value to the construction measurement value of the pre-camber of the four nodes 70m 73 is taken as the original data into the new prediction model. Then the predicted pre-camber value of the next segment is compared with the actual measured value. The results show that the improved grey theory prediction model meets the requirements of construction accuracy in the prediction of the bridge pre-camber, and the results show that the improved grey theory prediction model can meet the requirements of the construction accuracy. It can be used to guide the linear construction of bridges.
【學(xué)位授予單位】：河北工程大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U445.4;U448.23
本文編號：2439544
[Abstract]:In order to make the internal force and position of PC continuous rigid frame bridge coincide with the designed value as much as possible, it is necessary to carry out accurate and reasonable linear control during the construction of the bridge. The most important problem in the linear control of bridge is the setting of bridge pre-camber. In this paper, the relevant theory of bridge alignment control and the prediction method of pre-camber in linear control are briefly described, and the grey theory prediction model is emphatically studied as the prediction method of pre-camber. On the basis of the original grey theory prediction model, a new prediction model is proposed, which modifies the background value and the close neighbor mean value in the original model. The comparison of several sets of data proves that it has higher prediction accuracy. Finally, combined with an example of a large-scale PC continuous rigid frame bridge, the rigid frame bridge model is established by using the finite element software MIDAS/CIVIL, and the ratio of the theoretical design value to the construction measurement value of the pre-camber of the four nodes 70m 73 is taken as the original data into the new prediction model. Then the predicted pre-camber value of the next segment is compared with the actual measured value. The results show that the improved grey theory prediction model meets the requirements of construction accuracy in the prediction of the bridge pre-camber, and the results show that the improved grey theory prediction model can meet the requirements of the construction accuracy. It can be used to guide the linear construction of bridges.
【學(xué)位授予單位】：河北工程大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U445.4;U448.23
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