Abstract
Through a tunnel-blasting project, the effect of tunnel-blasting vibration has been analyzed from the perspective of vibration energy transfer. The non-linear regression method was used to obtain the prediction equation for blast vibration velocity based on the field blast vibration data. Then, the maximum charge per delay of the blasting construction of the tunnel was obtained through the formula inversion. Based on the traditional Hilbert transform, a novel Hilbert–Huang transform (HHT) analysis method considering Complete Ensemble Empirical Mode Decomposition with Adaptive Noise decomposition (CEEMDAN) and wavelet packet threshold de-noising method has been proposed, the feasibility of which was verified using the field blast vibration signals. It has been proved that the improved HHT analysis method can be used to analyze the influence of the different blasting vibration parameters on the regular distribution of vibration energy. In addition, the dimensional analysis method was used to establish the blasting vibration energy prediction model. The results of this research show that the improved HHT analysis method can solve the problem of modal aliasing caused by the traditional decomposition method, and can obtain the purified main modal components, which improves the adaptability of HHT analysis. In addition, with the increase of the distance between blast area and the maximum charge per delay, the high-frequency energy of the blasting signal gradually weakens, while the dominant energy frequency band diverts to the low-frequency band. The methods and conclusions of this research can provide a certain reference for the controlled blasting construction in similar cases.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Armaghani DJ, Hasanipanah M, Amnieh HB et al (2019) Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm. Eng Comput 4:1–13
Cardu M, Coragliotto D, Oreste P (2019) Analysis of predictor equations for determining the blast-induced vibration in rock blasting. Int J Min Sci Technol 29:905–915. https://doi.org/10.1016/j.ijmst.2019.02.009
Chen S, Wu J, Zhang Z (2017a) Blasting vibration characteristics and PPV calculation formula considering cylindrical charge length. Environ Earth Sci 2017:76. https://doi.org/10.1007/s12665-017-7027-5
Chen S-H, Wu J, Zhang Z-H (2017b) Blasting source equivalent load on elastic-plastic boundary for rock blasting. J Eng Mech 2017:143. https://doi.org/10.1061/(asce)em.1943-7889.0001225
Chen G, Li Q-Y, Li D-Q, Wu Z-Y, Liu Y (2019) Main frequency band of blast vibration signal based on wavelet packet transform. Appl Math Model 74:569–585. https://doi.org/10.1016/j.apm.2019.05.005
Deng X, Wang J, Wang R et al (2020) Influence of blasting vibrations generated by tunnel construction on an existing road. Int J Civ Eng 2020:1
Fattahi H, Hasanipanah M (2020) Prediction of blast-induced ground vibration in a mine using relevance vector regression optimized by metaheuristic algorithms. Natural Resour Res 2020:1–15
Hosseini SA, Tavana A, Abdolahi SM, Darvishmaslak S (2019) Prediction of blast-induced ground vibrations in quarry sites: a comparison of GP, RSM and MARS. Soil Dyn Earthq Eng 119:118–129. https://doi.org/10.1016/j.soildyn.2019.01.011
Huang D, Cui S, Li X (2019) Wavelet packet analysis of blasting vibration signal of mountain tunnel. Soil Dyn Earthq Eng 117:72–80. https://doi.org/10.1016/j.soildyn.2018.11.025
Huang JH, Luo Y, Zhang G et al (2020) Numerical analysis on rock blasting damage in Xiluodu underground powerhouse using an improved constitutive model. Eur J Environ Civ Eng 1:1–18
Jayasinghe B, Zhao Z, Teck-Chee AG, Zhou H, Gui Y (2019) Attenuation of rock blasting induced ground vibration in rock-soil interface. J Rock Mech Geotech Eng 11:770–778. https://doi.org/10.1016/j.jrmge.2018.12.009
Jiang N, Zhou C, Lu S, Zhang Z (2017) Propagation and prediction of blasting vibration on slope in an open pit during underground mining. Tunn Undergr Space Technol 70:409–421. https://doi.org/10.1016/j.tust.2017.09.005
Jiang W, Arslan CA, Soltani-Tehrani M, Khorami M, Hasanipanah M (2018) Simulating the peak particle velocity in rock blasting projects using a neuro-fuzzy inference system. Eng Comput 35:1203–1211. https://doi.org/10.1007/s00366-018-0659-6
Li HK, Liu SL, Wei BW et al (2015) Research on multi-point dynamic response fusion method of discharge structure based on variance contribution rate. J Vibr Shock 34(19):181–191. https://doi.org/10.13465/j.cnki.Jvs.2015.19.029.(inChinese)
Li L et al (2016) Energy spectrum analysis of blast waves based on an improved Hilbert-Huang transform. Shock Waves 27:487–494. https://doi.org/10.1007/s00193-016-0667-7
Li X, Hu H, He L, Li K (2017) An analytical study of blasting vibration using deep mining and drivage rules. Cluster Comput 20:109–120. https://doi.org/10.1007/s10586-017-0736-4
Li XF, Li HB, Zhang GK (2019) Damage assessment and blast vibrations controlling considering rock properties of underwater blasting. Int J Rock Mech Min Sci 2019:121. https://doi.org/10.1016/j.ijrmms.2019.06.004
Liu G-H, Wang Z-Y (2004) Dynamic response and blast-resistance of a tunnel subjected to blast loading. J Zhejiang Univ Eng Sci 38(2):204–208
Lu A, Liang G, Long F et al (2016) Experimental and numerical investigation of the effect of blast-induced vibration from adjacent tunnel on existing tunnel. KSCE J Civ Eng 2016:5
Ma H, Li X, Liu Q et al (2020) Research on identification technology of explosive vibration based on EEMD energy entropy and multiclassification SVM. Shock Vibr 2020(2):1–10
Matidza MI, Jianhua Z, Gang H, Mwangi AD (2020) Assessment of blast-induced ground vibration at Jinduicheng molybdenum open pit mine. Nat Resour Res 29:831–841. https://doi.org/10.1007/s11053-020-09623-5
Miao Y et al (2018) Improved Hilbert spectral representation method and its application to seismic analysis of shield tunnel subjected to spatially correlated ground motions. Soil Dyn Earthq Eng 111:119–130. https://doi.org/10.1016/j.soildyn.2018.04.050
Mohamad ET, Diyuan L, Bhatawdekar RM, Danial JA, Khairul AK, Ibrahim K (2020) The effects of Abc, Ica, and Pso optimization techniques on prediction of ripping production. Eng Comput 36(4):1355–1370. https://doi.org/10.1007/s00366-019-00770-9
Nateghi R, Kiany M, Gholipouri O (2009) Control negative effects of blasting waves on concrete of the structures by analyzing of parameters of ground vibration. Tunn Undergr Space Technol 24:608–616. https://doi.org/10.1016/j.tust.2009.04.004
Ongen A, Tugce A, Karakus A et al (2018) Assessment of blast-induced vibration using various estimation models. J Afr Earth 45:267–273
Qin Q, Zhang J (2020) Vibration control of blasting excavation of large cross-section highway tunnel over metro line. Arab J Geosci 13(17):1–14
Shi X-Z et al (2016) Application of Hilbert-Huang transform based delay time identification in optimization of short millisecond blasting. Trans Nonferrous Metals Soc China 26:1965–1974. https://doi.org/10.1016/s1003-6326(16)64310-8
Shi ZM et al (2018) Non-destructive testing of full-length bonded rock bolts based on HHT signal analysis. J Appl Geophys 151:47–65. https://doi.org/10.1016/j.jappgeo.2018.02.001
Temeng VA, Ziggah YY, Arthur CK (2020) A novel artificial intelligent model for predicting air overpressure using brain inspired emotional neural network. Int J Min Technol 30:5
Tian X, Song Z, Wang J (2019) Study on the propagation law of tunnel blasting vibration in stratum and blasting vibration reduction technology. Soil Dyn Earthq Eng 2019:126. https://doi.org/10.1016/j.soildyn.2019.105813
Tolani S, Bharti SD, Shrimali MK, Datta TK (2020) Effect of surface blast on multistory buildings. J Perform Constr Facil 2020:34. https://doi.org/10.1061/(asce)cf.1943-5509.0001415
Wang Z-W, Li X-B, Peng K, Xie J-F (2015) Impact of blasting parameters on vibration signal spectrum: determination and statistical evidence. Tunn Undergr Space Technol 48:94–100. https://doi.org/10.1016/j.tust.2015.02.004
Wang HL et al (2018) Study on blasting vibration control of three-dimensional cross tunnel on beijing to zhangjiakou high-speed railway. Railw Standard Design 62(07):130–134
Wei Y, Yue J, Tang X, Huang X (2017) Enhanced microwave-absorbing properties of FeCo magnetic film-functionalized silicon carbide fibers fabricated by a radio frequency magnetron method. Ceram Int 43:16371–16375. https://doi.org/10.1016/j.ceramint.2017.09.011
Xue F et al (2019) Safety threshold determination for blasting vibration of the lining in existing tunnels under adjacent tunnel blasting. Adv Civ Eng 1–10:2019. https://doi.org/10.1155/2019/8303420
Yang H, Hasanipanah M, Tahir MM, Bui DT (2019) Intelligent prediction of blasting-induced ground vibration using ANFIS optimized by GA and PSO. Nat Resour Res 29:739–750. https://doi.org/10.1007/s11053-019-09515-3
Yang J et al (2020) Estimation of rock mass properties in excavation damage zones of rock slopes based on the Hoek-Brown criterion and acoustic testing. Int J Rock Mech Min Sci 2020:126. https://doi.org/10.1016/j.ijrmms.2019.104192
Yari M, Bagherpour R, Jamali S (2015) Development of an evaluation system for blasting patterns to provide efficient production. J Intell Manuf 28:975–984. https://doi.org/10.1007/s10845-015-1036-6
Yu Z, Shi X, Zhou J et al (2020a) A new multikernel relevance vector machine based on the HPSOGWO algorithm for predicting and controlling blast-induced ground vibration. Eng Comput 2020:1–16
Yu Z, Shi X, Qiu X et al (2020b) Optimization of postblast ore boundary determination using a novel sine cosine algorithm-based random forest technique and Monte Carlo simulation. Eng Optim 2020:1–16
Zhang YG, Zhang Z, Xue S, Wang RJ, Xiao M (2020) Stability analysis of a typical landslide mass in the Three Gorges Reservoir under varying reservoir water levels. Environ Earth Sci 79:14. https://doi.org/10.1007/s12665-019-8779-x
Zhen-xiong W et al (2016) Blasting vibration generated by breaking-blasting large barriers with EBBLB. Shock Vibr 1–13:2016. https://doi.org/10.1155/2016/7503872
Zhong G-S, Ao L-P, Zhao K (2012) Influence of explosion parameters on wavelet packet frequency band energy distribution of blast vibration. J Central South Univ 19:2674–2680. https://doi.org/10.1007/s11771-012-1326-5
Zhou J, Chuanqi L, Mohammadreza K, Danial JA, Binh TP (2020a) Development of a new methodology for estimating the amount of Ppv in Surface mines Based On Prediction And Probabilistic Models (Gep-Mc). Int J Min Reclam Env 2020:1–21. https://doi.org/10.1080/17480930.2020.1734151
Zhou AJ, Astersis BPG, Armaghani CDJ et al (2020b) Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models. Soil Dyn Earthq Eng 139:16390
Acknowledgements
The work described in this paper is supported by the National Natural Science Foundation of China (number: 51878242).
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Zhao, Y., Shan, R.l. & Wang, H.l. Research on vibration effect of tunnel blasting based on an improved Hilbert–Huang transform. Environ Earth Sci 80, 206 (2021). https://doi.org/10.1007/s12665-021-09506-9
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12665-021-09506-9