本文關(guān)鍵詞： 準(zhǔn)靜態(tài) 影響面 橋梁快速評定　出處：《河北工業(yè)大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：橋梁是交通運輸中的重要組成部分，如何對現(xiàn)有橋梁進行有效檢測，做出科學(xué)評估，充分了解橋梁實際工作狀況，驗證承載力能否滿足設(shè)計或規(guī)范要求，是適應(yīng)公路運輸不斷發(fā)展，保障橋梁運營安全的必然要求。 本文首先對現(xiàn)有檢測技術(shù)作了概述，結(jié)合國內(nèi)外研究現(xiàn)狀總結(jié)了現(xiàn)有橋梁檢測加固技術(shù)常用手段及技術(shù)指標(biāo)；其次針對常見橋型介紹了結(jié)構(gòu)承載力檢算中所應(yīng)用的常規(guī)計算方法，并通過實橋數(shù)據(jù)分析得出：傳統(tǒng)的計算方法在精度上有很大誤差，并且對于現(xiàn)代高速發(fā)展的橋梁技術(shù)已凸顯其局限性，進而提出了精準(zhǔn)影響面代替簡化影響面的理論。 第三章基于線彈性結(jié)構(gòu)的內(nèi)力影響面概念，及靜力法求影響面理論，，提出了機動法求內(nèi)力影響面概念�；谔摴υ�，通過對六面體單元的求解，導(dǎo)出了求內(nèi)力影響面的普遍公式，并且可用于五面體或四面體的求解。該方法可以很快的求得目標(biāo)點的內(nèi)力影響面，可以滿足普遍工程實際需求。 隨著交通量逐漸增大，對橋梁檢測，尤其城市繁忙路段的橋梁檢測工作提出了更高的要求，而且常規(guī)檢測中加載工況太少，且加載位置存在很大偏差�；诖吮疚牡谒恼麻_發(fā)了基于影響面的車道荷載及汽車荷載準(zhǔn)靜態(tài)加載理論，這種方法可以很精確的定位載荷汽車的位置，很且用時少，可識別工況多，從理論上說數(shù)據(jù)也更準(zhǔn)確可靠。 第五章通過實驗室實橋試驗對前面幾種理論作了驗證，并基于此，針對橋梁檢測技術(shù)形成新的成套理論“基于準(zhǔn)靜態(tài)影響面理論的橋梁承載能力快速評定”，并且通過是模型橋梁的驗證。這種方法能精確的得出檢測載荷所在位置，使理論加載效率系數(shù)為1，且對汽車載重掌握比較靈活；較常規(guī)檢測方式避免了傳統(tǒng)的靜荷載試驗數(shù)據(jù)工況較少的缺點，可以極大的縮短檢測時間，更適應(yīng)現(xiàn)在的交通要求。
[Abstract]:Bridge is an important part of transportation. How to effectively detect the existing bridge, make scientific evaluation, fully understand the actual working conditions of the bridge, verify whether the bearing capacity can meet the requirements of the design or specifications. It is an inevitable requirement to adapt to the continuous development of highway transportation and ensure the safety of bridge operation. First of all, this paper summarizes the existing detection technology, combined with the current research situation at home and abroad, summarizes the existing bridge inspection and reinforcement technology commonly used means and technical indicators; Secondly, the conventional calculation methods used in checking and calculating the bearing capacity of structures are introduced for the common bridge types, and through the analysis of the actual bridge data, it is concluded that the traditional calculation methods have great errors in accuracy. And for the modern high-speed development of bridge technology has highlighted its limitations, and then put forward a precise influence surface instead of simplified influence surface theory. In the third chapter, based on the concept of internal force influence surface of linear elastic structure and the theory of static force method to find influence surface, the concept of maneuver method is put forward to calculate the influence surface of internal force. Based on the principle of virtual work, we solve the problem of hexahedron element. The general formula for calculating the influence surface of internal force is derived, and it can be used to solve the problem of pentahedron or tetrahedron. With the increase of traffic volume, higher requirements are put forward for bridge detection, especially for bridge detection in busy sections of the city, and there are too few loading conditions in conventional detection. Based on the 4th chapter of this paper, the quasi-static loading theory of driveway load and vehicle load based on influence surface is developed. This method can locate the position of vehicle accurately, and it takes less time. There are many identifiable working conditions, and theoretically the data are more accurate and reliable. In Chapter 5th, the previous theories are verified by laboratory experiments, and based on this, In view of the bridge detection technology, a new set of theory "Bridge bearing capacity Evaluation based on Quasi-static influence Surface Theory" is formed, and it is verified by the model bridge. This method can accurately get the location of the detection load. The theoretical loading efficiency coefficient is 1, and it is more flexible to grasp the vehicle load. Compared with the conventional testing method, it avoids the disadvantages of the traditional static load test data less working conditions, can greatly shorten the detection time, and is more suitable for the current traffic requirements.
【學(xué)位授予單位】：河北工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：U446.3

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