2103. Implementation of a simulation inversion method into estimating the damping coefficient in blasting

Qingwen Li1, Lu Chen2, Lan Qiao3

Department of Civil Engineering, University of Science and Technology Beijing, Beijing, 100083, China

3Corresponding author

E-mail: 1qingwenli@ustb.edu.cn, 2chenlu90@163.com, 3lanqiao612@gmail.com

Received 12 March 2016; received in revised form 20 May 2016; accepted 28 June 2016

DOI https://doi.org/10.21595/jve.2016.16961

Abstract. Damping is a mechanism of energy dissipation in shock and vibration. It is difficult to obtain the damping coefficient by theoretical method accurately because of varying material properties, vibration velocity and frequency, especially for the millisecond delay blasting in tunnel excavation. Therefore, the most effective method is simulation inversion by employing large‑scale monitoring data, accurate blast loading model and detailed mechanical parameters. In this paper, in‑situ monitoring data was acquired by Blasting Vibration Recorder. The accurate blast loading was calculated on the basis of neural network method, so the contribution rate coefficient of every sequence blasting in total millisecond delay blasting could be confirmed. Mechanical parameter of the host rock was acquired by Split Hopkinson Pressure Bar (SHPB) test. In order to predict the simulated velocity, the numerical model in physical dimensions was built by FLAC3D, alongside the constitutive parameters from laboratory tests and different damping coefficients. Compared with the monitoring attenuation law, the damping coefficient of host rock could be finally confirmed.

Keywords: blasting vibration, accurate blast loading, neural network, damping coefficient, simulation inversion.

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Cite this article

Li Qingwen, Chen Lu, Qiao Lan Implementation of a simulation inversion method into estimating the damping coefficient in blasting. Journal of Vibroengineering, Vol. 18, Issue 5, 2016, p. 3037‑3047.

 

© JVE International Ltd. Journal of Vibroengineering. Aug 2016, Vol. 18, Issue 5. ISSN 1392-8716