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基于爆破振速的隧道围岩力学参数反演 被引量:4

Study on the Back Analysis of Surrounding Rock Parameters by the Blasting Vibration Velocity
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摘要 采用FIAC3D为正演工具对山岭隧道爆破开挖产生的边墙振速进行数值模拟,结合正交设计和均匀设计试验得到训练样本和测试样本,建立反映围岩参数与振速非线性关系的BP神经网络模型,并基于隧道现场实测爆破振速反演得到围岩的弹性模量和泊松比等参数。结合反演得到的围岩力学参数,建立隧道地质计算模型,对爆破振动条件下围岩的稳定性分析进行数值计算,结果表明,采用数值方法计算得到的爆破振速理论值与现场实测结果吻合较好,说明基于爆破振速的围岩参数反演方法是合理可行的。 Vibration velocity of sidewalk induced by the blasting excavation of mountain tunnel is simulated by the FLAC3D software, based on which the training samples and test samples are obtained by the orthogonal design and uniform design methods, and the BP neural network model reflecting the non-linear relations between the surrounding rock parameters and vibration velocity is presented too. According to the surrounding rock parameters inverted from the blasting vibration velocity measured in the tunnel, the numerical calculation for stability analysis on surrounding rock under blasting vibration is carried out. Compared with the blasting vibration velocity obtained by actual measuring and numerical calculating, the theoretical value has a good tally with the field measured results, which indicate that the method to invert the surrounding rock parameters from the blasting vibration velocity is feasible.
出处 《地下空间与工程学报》 CSCD 北大核心 2013年第2期291-296,共6页 Chinese Journal of Underground Space and Engineering
基金 福州大学校人才基金项目(NO.022356) 福建省自然科学基金(NO.2012J05090)
关键词 山岭隧道 BP神经网络 FLAC3D 爆破振速 mountain tunnels BP neural network FLAC3D blasting vibration velocity
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