| 隧道爆破振动的BP神经网络预测及应用研究 |
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| 引用本文： | 林丽群,林从谋,蔡丽光,林键,郑强. 隧道爆破振动的BP神经网络预测及应用研究[J]. 爆破, 2009, 26(4): 4-7. DOI: 10.3963/j.issn.1001-487X.2009.04.002 |
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| 作者姓名： | 林丽群 林从谋 蔡丽光 林键 郑强 |
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| 作者单位： | 华侨大学,土木工程学院,泉州,362021;华侨大学,土木工程学院,泉州,362021;华侨大学,土木工程学院,泉州,362021;华侨大学,土木工程学院,泉州,362021;华侨大学,土木工程学院,泉州,362021 |
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| 基金项目： | 国家自然科学基金资助项目，福建省自然科学基金资助项目，福建省科技重点课题资助项目 |
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| 摘 要： | 以福厦高速公路扩建工程中的大帽山小净距大跨度隧道爆破开挖为背景,应用BP神经网络,建立了小净距隧道掘进爆破振动和速度峰值的预报模型,并成功地应用于该隧道进、出口段掘进爆破振动控制工程实践.分析比较结果表明,BP神经网络预报方法的预测结果与实测值的平均误差为7.16%～10.61%,较传统预报方法的预测精度提高20%以上.研究成果为小净距大跨度隧道爆破振动控制提供了新的预测方法,具有理论及实用参考价值.
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| 关 键 词： | 爆破振动 BP神经网络 预测 隧道 |
Prediction and Application Research of Tunnel Blasting Vibration based on BP Neural Network |
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| LIN Li-qun,LIN Cong-mou,CAI Li-guang,LIN Jian,ZHENG Qiang. Prediction and Application Research of Tunnel Blasting Vibration based on BP Neural Network[J]. Blasting, 2009, 26(4): 4-7. DOI: 10.3963/j.issn.1001-487X.2009.04.002 |
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| Authors: | LIN Li-qun LIN Cong-mou CAI Li-guang LIN Jian ZHENG Qiang |
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| Affiliation: | LIN Li-qun,LIN Cong-mou,CAI Li-guang,LIN Jian,ZHENG Qiang(College of Civil Engineering,Hua Qiao University,Quanzhou 362021,China) |
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| Abstract: | Taking the project of Damaoshan great span and neighboring tunnel driving blasting in Fuxia highway expansion project as the background,used the back-propagation neural network,a prediction model of peak resultant velocity of tunnelling blasting vibration is established,and successfully applied to the engineering practice of controll blasting vibration in the import and export segments of the Damaoshan tunnel.Comparative analysis of the results show that the between back-propagation neural network method's forecasting result and actual value is 7.16%～10.61%,and 20% more accurate than traditional forecasting methods. |
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| Keywords: | blasting vibration back-propagation neural network prediction tunnel |
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