Funder
National Natural Science Foundation of China
Natural Science Foundation of Hunan
Science Foundation of Hunan University of Science and Technology
Publisher
Springer Science and Business Media LLC
Reference29 articles.
1. Monjezi, M.; Bahrami, A.; Yazdian, A.: Simultaneous prediction of fragmentation and flyrock in blasting operation using artificial neural networks. Int. J. Rock Mech. Min. 47(3), 476–480 (2009)
2. Ghoshal, R.; Mitra, N.: Underwater explosion induced shock loading of structures: influence of water depth, salinity and temperature. Ocean Eng. 126(1), 22–28 (2016)
3. Peng, Y.X.; Wu, L.; Chen, C.H.; Zhu, B.B.; Jia, Q.J.: Study on the robust regression of the prediction of vibration velocity in underwater drilling and blasting. Arab. J. Sci. Eng. 43, 5541–5549 (2018)
4. Fei, H.L.; Liu, M.; Qu, G.J.; Gao, Y.: A method for blasting vibration signal denoising based on ensemble empirical mode decomposition-wavelet threshold. Explosion Shock Waves 38(1), 112–118 (2018)
5. Liang, M.D.; Wu, Z.; Xia, L.M.: Application of dual shift invariant wavelet transform in blasting vibration signal denoising: IEEE 3rd International Conference on Advanced Computing and Communication Systems. (2016). https://doi.org/10.1109/ICACCS.2016.7586357
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