橋梁樁井爆破地震波傳播規(guī)律及應用分析
發(fā)布時間：2018-11-24 16:34
【摘要】：隨著我國經濟的快速發(fā)展,天然氣和石油等輸送管道建設的規(guī)模越來越大,新建工程如公路和鐵路等可能與其交叉或鄰近,新建工程施工難免對其產生不利影響,特別是如果采用爆破施工,則爆破有害效應如爆破振動、爆破飛石等可能對輸送管道產生難以估量的危害,因此,在此類工程中,為確保鄰近輸送管道的安全,開展爆破有害效應相關規(guī)律及控制方法研究具有重要意義。本文以榮(山東榮成)烏(內蒙烏海)高速公路河北淶源段紅泉村3#大橋樁井爆破振動對鄰近陜京天然氣管線的影響為對象,采用現場試驗、理論分析以及BP神經網絡等相結合的方法,對橋梁樁井爆破地震波傳播規(guī)律及其在實際工程中的應用進行了研究,主要取得如下結論。采用現場試驗結果分析和縱波傳播理論分析的方法研究了橋梁樁井爆破引起地表徑向和垂向振動速度的傳播規(guī)律,發(fā)現隨著與樁井邊沿水平距離的增加,垂向和徑向爆破振動速度的衰減規(guī)律是不同的;同時發(fā)現,與樁井邊沿水平距離約小于和大于7m的范圍內,垂向和徑向爆破振動速度的大小關系也不相同。對現場試驗結果進行分析發(fā)現,爆破參數一定時,不同樁井深度下掏槽孔和周邊孔所產生振動速度的大小關系是不同的;同時發(fā)現,掏槽孔和周邊孔所產生振動速度隨樁井深度的增加所呈現的變化規(guī)律也不相同。結合現場爆破參數及振動監(jiān)測數據設立15組訓練(擬合)樣本和5組檢驗樣本,分別采用BP神經網絡、高程修正公式和薩道夫斯基公式的方法對樁井爆破振動速度進行預測,結果顯示,BP神經網絡、高程修正公式和薩道夫斯基公式預測結果的平均相對誤差分別為7.90%、24.30%和27.68%。結合試驗所得規(guī)律,提出根據水平距離和樁井深度的不同,對爆破參數取值進行分區(qū)控制的方法,將該方法應用臨近陜京天然氣管線的紅泉村3#大橋樁井爆破工程,結果表明,該方法既可以有效的確保鄰近埋地天然氣管線的安全,又能極大地提高樁井施工效率。
[Abstract]:With the rapid development of China's economy, the scale of pipeline construction such as natural gas and oil is becoming larger and larger. New construction projects, such as roads and railways, may cross or are adjacent to them, and the construction of new projects will inevitably have a negative impact on them. Especially if blasting construction is adopted, the harmful effects of blasting, such as blasting vibration and blasting flying stones, may cause incalculable harm to the conveying pipeline. Therefore, in such projects, in order to ensure the safety of the adjacent pipeline, It is of great significance to study the relevant rules and control methods of blasting harmful effects. In this paper, the effect of blasting vibration of pile well of Hongquan Village Bridge of Rongrong (Shandong Rongcheng) Wu (Inner Mongolia Wuhai) Expressway on nearby Shanjing natural gas pipeline is studied. Theoretical analysis and BP neural network are combined to study the propagation law of blasting seismic wave in bridge pile well and its application in practical engineering. The main conclusions are as follows. The propagation law of radial and vertical vibration velocities caused by bridge pile well blasting is studied by means of field test result analysis and longitudinal wave propagation theory analysis. It is found that the horizontal distance increases with the increase of horizontal distance between pile and pile well edge. The attenuation law of vertical and radial blasting vibration velocity is different. At the same time, it is found that the vertical and radial blasting vibration velocities are different from the horizontal distance between pile and well edge in the range of 7 m or less. By analyzing the field test results, it is found that when the blasting parameters are fixed, the relationship between the vibration velocity of the cut hole and the peripheral hole is different under different pile depth. At the same time, it is found that the vibration velocity caused by cutting hole and peripheral hole is different with the increase of pile depth. Combined with field blasting parameters and vibration monitoring data, 15 groups of training (fitting) samples and 5 groups of test samples were set up. The blasting vibration velocity of pile wells was predicted by BP neural network, height correction formula and Sadolski formula, respectively. The results show that the average relative errors of the predicted results of BP neural network, elevation correction formula and Sadolski formula are 7.90% and 27.68%, respectively. Combined with the experimental results, a method of zoning control of blasting parameters is put forward according to the difference of horizontal distance and depth of pile wells. The method is applied to the pile blasting project of Hongquancu2# Bridge near Shanjing natural gas pipeline. The results show that this method can not only ensure the safety of buried gas pipelines but also improve the efficiency of pile-well construction.
【學位授予單位】：西南科技大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U445
本文編號：2354372
[Abstract]:With the rapid development of China's economy, the scale of pipeline construction such as natural gas and oil is becoming larger and larger. New construction projects, such as roads and railways, may cross or are adjacent to them, and the construction of new projects will inevitably have a negative impact on them. Especially if blasting construction is adopted, the harmful effects of blasting, such as blasting vibration and blasting flying stones, may cause incalculable harm to the conveying pipeline. Therefore, in such projects, in order to ensure the safety of the adjacent pipeline, It is of great significance to study the relevant rules and control methods of blasting harmful effects. In this paper, the effect of blasting vibration of pile well of Hongquan Village Bridge of Rongrong (Shandong Rongcheng) Wu (Inner Mongolia Wuhai) Expressway on nearby Shanjing natural gas pipeline is studied. Theoretical analysis and BP neural network are combined to study the propagation law of blasting seismic wave in bridge pile well and its application in practical engineering. The main conclusions are as follows. The propagation law of radial and vertical vibration velocities caused by bridge pile well blasting is studied by means of field test result analysis and longitudinal wave propagation theory analysis. It is found that the horizontal distance increases with the increase of horizontal distance between pile and pile well edge. The attenuation law of vertical and radial blasting vibration velocity is different. At the same time, it is found that the vertical and radial blasting vibration velocities are different from the horizontal distance between pile and well edge in the range of 7 m or less. By analyzing the field test results, it is found that when the blasting parameters are fixed, the relationship between the vibration velocity of the cut hole and the peripheral hole is different under different pile depth. At the same time, it is found that the vibration velocity caused by cutting hole and peripheral hole is different with the increase of pile depth. Combined with field blasting parameters and vibration monitoring data, 15 groups of training (fitting) samples and 5 groups of test samples were set up. The blasting vibration velocity of pile wells was predicted by BP neural network, height correction formula and Sadolski formula, respectively. The results show that the average relative errors of the predicted results of BP neural network, elevation correction formula and Sadolski formula are 7.90% and 27.68%, respectively. Combined with the experimental results, a method of zoning control of blasting parameters is put forward according to the difference of horizontal distance and depth of pile wells. The method is applied to the pile blasting project of Hongquancu2# Bridge near Shanjing natural gas pipeline. The results show that this method can not only ensure the safety of buried gas pipelines but also improve the efficiency of pile-well construction.
【學位授予單位】：西南科技大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：U445
【引證文獻】
相關會議論文 前2條
1 陳壽如;宋光明;周鳳南;肖清華;;兩種質點振速預測公式的比較與選擇[A];第七屆全國工程爆破學術會議論文集[C];2001年
2 梁向前;;南水北調中線京石段爆破振動安全問題研究[A];中國爆破新技術Ⅱ[C];2008年
，本文編號：2354372
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