桥梁桩井爆破地震波传播规律及应用分析
发布时间：2018-11-24 16:34
【摘要】：随着我国经济的快速发展,天然气和石油等输送管道建设的规模越来越大,新建工程如公路和铁路等可能与其交叉或邻近,新建工程施工难免对其产生不利影响,特别是如果采用爆破施工,则爆破有害效应如爆破振动、爆破飞石等可能对输送管道产生难以估量的危害,因此,在此类工程中,为确保邻近输送管道的安全,开展爆破有害效应相关规律及控制方法研究具有重要意义。本文以荣(山东荣成)乌(内蒙乌海)高速公路河北涞源段红泉村3#大桥桩井爆破振动对邻近陕京天然气管线的影响为对象,采用现场试验、理论分析以及BP神经网络等相结合的方法,对桥梁桩井爆破地震波传播规律及其在实际工程中的应用进行了研究,主要取得如下结论。采用现场试验结果分析和纵波传播理论分析的方法研究了桥梁桩井爆破引起地表径向和垂向振动速度的传播规律,发现随着与桩井边沿水平距离的增加,垂向和径向爆破振动速度的衰减规律是不同的;同时发现,与桩井边沿水平距离约小于和大于7m的范围内,垂向和径向爆破振动速度的大小关系也不相同。对现场试验结果进行分析发现,爆破参数一定时,不同桩井深度下掏槽孔和周边孔所产生振动速度的大小关系是不同的;同时发现,掏槽孔和周边孔所产生振动速度随桩井深度的增加所呈现的变化规律也不相同。结合现场爆破参数及振动监测数据设立15组训练(拟合)样本和5组检验样本,分别采用BP神经网络、高程修正公式和萨道夫斯基公式的方法对桩井爆破振动速度进行预测,结果显示,BP神经网络、高程修正公式和萨道夫斯基公式预测结果的平均相对误差分别为7.90%、24.30%和27.68%。结合试验所得规律,提出根据水平距离和桩井深度的不同,对爆破参数取值进行分区控制的方法,将该方法应用临近陕京天然气管线的红泉村3#大桥桩井爆破工程,结果表明,该方法既可以有效的确保邻近埋地天然气管线的安全,又能极大地提高桩井施工效率。
[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.
【学位授予单位】：西南科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U445
本文编号：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.
【学位授予单位】：西南科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U445
【引证文献】
相关会议论文 前2条
1 陈寿如;宋光明;周凤南;肖清华;;两种质点振速预测公式的比较与选择[A];第七届全国工程爆破学术会议论文集[C];2001年
2 梁向前;;南水北调中线京石段爆破振动安全问题研究[A];中国爆破新技术Ⅱ[C];2008年
，本文编号：2354372
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