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深基坑開(kāi)挖時(shí)周邊建筑物沉降預(yù)測(cè)及數(shù)值模擬研究

發(fā)布時(shí)間:2018-11-19 18:57
【摘要】:隨著我國(guó)經(jīng)濟(jì)飛速發(fā)展,全國(guó)各地出現(xiàn)了許多大型的深基坑工程,其中很大一部分處于城市中心,基坑工程的施工必然會(huì)使周邊建筑物發(fā)生變形,同時(shí)帶來(lái)一些安全隱患。實(shí)時(shí)地對(duì)建筑物進(jìn)行監(jiān)測(cè)、分析和處理實(shí)測(cè)的變形數(shù)據(jù),并針對(duì)基坑開(kāi)挖運(yùn)用合適的預(yù)測(cè)方法對(duì)建筑的變形進(jìn)行預(yù)測(cè),是在基坑施工期間保證周邊建筑物安全的重要手段。現(xiàn)在對(duì)于變形分析的研究?jī)?nèi)容一般分為變形的物理解釋和幾何分析兩部分。變形的物理解釋的任務(wù)是建立變形體的變形和變形原因之間的關(guān)系,解釋變形的原因。幾何分析的任務(wù)是在各種荷載作用下描述變形體變形的空間狀態(tài)和特性。針對(duì)深基坑開(kāi)挖導(dǎo)致的建筑物變形問(wèn)題,本文首先通過(guò)改進(jìn)的灰色系統(tǒng)模型對(duì)數(shù)據(jù)進(jìn)行處理;其次結(jié)合BP神經(jīng)網(wǎng)絡(luò)模型的自學(xué)習(xí)性強(qiáng)的特點(diǎn),對(duì)改進(jìn)的灰色系統(tǒng)模型的預(yù)測(cè)誤差進(jìn)行改正。通過(guò)對(duì)其精度的分析可知,該組合模型對(duì)建筑物變形的預(yù)測(cè)可以達(dá)到很高的精度;最后,本文基于深基坑開(kāi)挖前的地質(zhì)資料,運(yùn)用有限差分軟件FLAC3D建立深基坑支護(hù)結(jié)構(gòu)、周?chē)馏w和建筑物的簡(jiǎn)化模型,并通過(guò)深基坑工程開(kāi)挖初期建筑物的變形監(jiān)測(cè)資料對(duì)該模型參數(shù)進(jìn)行優(yōu)化,并根據(jù)該模型對(duì)深基坑開(kāi)挖進(jìn)行模擬,對(duì)建筑物上的監(jiān)測(cè)點(diǎn)做預(yù)測(cè),其預(yù)測(cè)結(jié)果稍大于實(shí)測(cè)結(jié)果。
[Abstract]:With the rapid development of economy in China, many large deep foundation pit projects have appeared all over the country, most of which are located in the center of the city. The construction of foundation pit engineering will inevitably make the surrounding buildings deform and bring some hidden dangers to safety at the same time. It is an important means to ensure the safety of surrounding buildings to monitor the buildings in real time, to analyze and process the measured deformation data, and to forecast the deformation of the buildings by using the appropriate prediction method for the excavation of the foundation pit. Now the research on deformation analysis is divided into two parts: physical interpretation and geometric analysis. The task of physical interpretation of deformation is to establish the relationship between deformation and its causes, and to explain the causes of deformation. The task of geometric analysis is to describe the spatial state and characteristics of deformation under various loads. Aiming at the problem of building deformation caused by deep foundation pit excavation, this paper deals with the data through the improved grey system model. Secondly, the prediction error of the improved grey system model is corrected based on the strong self-learning characteristic of BP neural network model. Through the analysis of its precision, it can be known that the combined model can predict the deformation of buildings with high accuracy. Finally, based on the geological data before excavation of deep foundation pit, a simplified model of supporting structure, surrounding soil and building of deep foundation pit is established by using finite difference software FLAC3D. The parameters of the model are optimized by the deformation monitoring data of the building in the early stage of excavation of deep foundation pit. According to the model, the excavation of deep foundation pit is simulated, and the monitoring points on the building are forecasted, and the prediction results are slightly larger than the measured results.
【學(xué)位授予單位】:遼寧工程技術(shù)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類(lèi)號(hào)】:TU433

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