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Engineering >> 2020, Volume 6, Issue 7 doi: 10.1016/j.eng.2019.12.016

Velocity-Free MS/AE Source Location Method for Three-Dimensional Hole-Containing Structures

a School of Resources and Safety Engineering, Central South University, Changsha 410083, China
b Department of Geophysics, Colorado School of Mines, Golden, CO 80401, USA

Received: 2019-07-29 Revised: 2019-11-15 Accepted: 2019-12-16 Available online: 2020-01-11

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Abstract

Microseismic source/acoustic emission (MS/AE) localization method is crucial for predicting and controlling of potentially dangerous sources of complex structures. However, the locating errors induced by both the irregular structure and pre-measured velocity are poorly understood in existing methods. To meet the high-accuracy locating requirements in complex three-dimensional hole-containing structures, a velocity-free MS/AE source location method is developed in this paper. It avoids manual repetitive training by using equidistant grid points to search the path, which introduces A* search algorithm and uses grid points to accommodate complex structures with irregular holes. It also takes advantage of the velocity-free source location method. To verify the validity of the proposed method, lead-breaking tests were performed on a cubic concrete test specimen with a size of 10 cm × 10 cm × 10 cm. It was cut out into a cylindrical empty space with a size of ϕ6cm × 10 cm. Based on the arrivals, the classical Geiger method and the proposed method are used to locate lead-breaking sources. Results show that the locating error of the proposed method is 1.20 cm, which is less than 2.02 cm of the Geiger method. Hence, the proposed method can effectively locate sources in the complex three-dimensional structure with holes and achieve higher precision requirements.

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References

[ 1 ] Feng X, Liu J, Chen B, Xiao Y, Feng G, Zhang F. Monitoring, warning, and control of rockburst in deep metal mines. Engineering 2017;3(4):538–45. link1

[ 2 ] Milev AM, Spottiswoode SM, Rorke AJ, Finnie GJ. Seismic monitoring of a simulated rockburst on a wall of an underground tunnel. J South Afr Inst Min Metall 2001;101(5):253–60. link1

[ 3 ] Urbancic TI, Trifu C. Recent advances in seismic monitoring technology at Canadian mines. J Appl Geophys 2000;45(4):225–37. link1

[ 4 ] Wang H, Ge M. Acoustic emission/microseismic source location analysis for a limestone mine exhibiting high horizontal stresses. J Rock Mech Min Sci 2008;45(5):720–8. link1

[ 5 ] Hirata A, Kameoka Y, Hirano T. Safety management based on detection of possible rock bursts by AE monitoring during tunnel excavation. Rock Mech Rock Eng 2007;40(6):563–76. link1

[ 6 ] Li L, Tan J, Wood DA, Zhao Z, Becker D, Lyu Q, et al. A review of the current status of induced seismicity monitoring for hydraulic fracturing in unconventional tight oil and gas reservoirs. Fuel 2019;242:195–210. link1

[ 7 ] Ge M. Efficient mine microseismic monitoring. Int J Coal Geol 2005;64(1– 2):44–56. link1

[ 8 ] Durrheim RJ. Mitigating the risk of rockbursts in the deep hard rock mines of South Africa: 100 years of research. In: Extracting the science: a century of mining research. Denver: Society for Mining, Metallurgy, and Exploration, Inc.; 2010. p. 156–71.

[ 9 ] Park B, Sohn H, Olson SE, DeSimio MP, Brown KS, Derriso MM. Impact localization in complex structures using laser-based time reversal. Struct Health Monit 2012;11(5):577–88. link1

[10] Marantidis C, Van Way CB, Kudva JN. Acoustic-emission sensing in an onboard smart structural health monitoring system for military aircraft. In: Sirkis JS, editor. Proceedings volume 2191, Smart Structures and Materials 1994: smart sensing, processing, and instrumentation; 1994 Feb 13–18; Orlando, FL, USA; 1994. p. 2191.

[11] Feng G, Feng X, Chen B, Xiao Y, Yu Y. A microseismic method for dynamic warning of rockburst development processes in tunnels. Rock Mech Rock Eng 2015;48(5):2061–76. link1

[12] Feng G, Feng X, Chen B, Xiao Y, Liu G, Zhang W. Characteristics of microseismicity during breakthrough in deep tunnels: case study of Jinping-II hydropower station in China. Int J Geomech 2020;20(2):04019163. link1

[13] Cheng J, Song G, Sun X, Wen L, Li F. Research developments and prospects on microseismic source location in mines. Engineering 2018;4 (5):653–60. link1

[14] Geiger L. Probability method for the determination of earthquake epicentres from the arrival time only. Bull St Louis Univ 1912;8:60–71. link1

[15] Inglada V. Die berechnung der herdkoordinated eines nahbebens aus den dintrittszeiten der in einingen benachbarten stationen aufgezeichneten P-oder P-wellen. Gerlands Beitr Geophys 1928;19:73–98. German.

[16] Leighton F, Blake W. Rock noise source location techniques. Washington, DC: US Department of the Interior Information, Bureau of Mines; 1970. link1

[17] Leighton FW, Duvall WI. A least squares method for improving rock noise source location techniques. Washington, DC: US Bureau of Mines; 1972. Report No.: BM-RI-7626. link1

[18] Thurber CH. Nonlinear earthquake location: theory and examples. Bull Seismol Soc Am 1985;75(3):779–90. link1

[19] Tang G. A general method for determination of earthquake parameters by computer. Acta Seismol Sin 1979;1(2):186–96. Chinese. link1

[20] Prugger A, Gendzwill D. Microearthquake location: a non-linear approach that makes use of a simplex stepping procedure. Bull Seismol Soc Am 1988;78 (2):799–815. link1

[21] Waldhauser F, Ellsworth WL. A double-difference earthquake location algorithm: method and application to the Northern Hayward Fault, California. Bull Seismol Soc Am 2000;90(6):1353–68. link1

[22] Dong L, Li X, Tang L, Gong F. Mathematical functions and parameters for microseismic source location without pre-measuring speed. Chin J Rock Mech Eng 2011;30(10):2057–67. Chinese. link1

[23] Li X, Dong L. Comparison of two methods in acoustic emission source location using four sensors without measuring sonic speed. Sens Lett 2011;9 (5):2025–9. link1

[24] Dong L, Shu W, Li X, Han G, Zou W. Three dimensional comprehensive analytical solutions for locating sources of sensor networks in unknown velocity mining system. IEEE Access 2017;5(99):11337–51. link1

[25] Dong L, Li X, Ma J, Tang L. Three-dimensional analytical comprehensive solutions for acoustic emission/microseismic sources of unknown velocity system. Chin J Rock Mech Eng 2017;36:186–97. Chinese. link1

[26] Dong L, Shu W, Han G, Li X, Wang J. A multi-step source localization method with narrowing velocity interval of cyber–physical systems in buildings. IEEE Access 2017;5:20207–19. link1

[27] Dong L, Zou W, Li X, Shu W, Wang Z. Collaborative localization method using analytical and iterative solutions for microseismic/acoustic emission sources in the rockmass structure for underground mining. Eng Fract Mech 2019;210:95–112. link1

[28] Baxter G, Pullin R, Holford KM, Evans SL. Delta T source location for acoustic emission. Mech Syst Signal Process 2007;21(3):1512–20. link1

[29] Eaton MJ, Pullin R, Holford KM. Acoustic emission source location in composite materials using Delta T Mapping. Compos Appl Sci Manuf 2012;43(6):856–63. link1

[30] Gollob S, Kocur GK, Schumacher T, Mhamdi L, Vogel T. A novel multi-segment path analysis based on a heterogeneous velocity model for the localization of acoustic emission sources in complex propagation media. Ultrasonics 2017;74:48–61. link1

[31] Hart PE, Nilsson NJ, Raphael B. A formal basis for the heuristic determination of minimum cost paths. IEEE Trans Sys Sci Cybern 1968;4(2):100–7. link1

[32] Hart PE, Nilsson NJ, Raphael B. Correction to a formal basis for the heuristic determination of minimum cost paths. ACM Sigart Bull 1972;37(37):28–9. link1

[33] Oommen BJ, Rueda LG. A formal analysis of why heuristic functions work. Artif Intell 2005;164(1–2):1–22. link1

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