Abstract
Acoustic Emission (AE) is an NDE technique that measures the elastic energy released in the form of acoustic waves in materials that undergo irreversible structure changes (e.g., plastic deformation, cracking, rupture). The emitted acoustic waves are captured by sensors attached to the material’s surface. The technique considers the wave arrival time and the wave propagation speed to accurately locate in space and in time the wave source and the waveform shape to characterize the origin of nature (damage mode, crack orientation, etc.). AE monitoring systems have the ability to effectively inspect large and complex structures, are cost-effective and perform in the long-term. For these reasons, AE is the most commonly implemented NDE method in civil engineering and especially in concrete structures inspection. For several decades, AE is employed in numerous studies to fully assess and characterize cracks nucleation and propagation, damage mode and source on concrete. As concrete design and technology evolves, AE application is challenged. A case study application of AE highlights the recently developed smart autonomously healed concrete structures, the “concrete of the future.” It is shown that AE aims to develop a sensing tool; a sensor array is sufficient to detect, locate (and trigger if needed) the healing activation processes, quantify damage before and after repair. An overview of studies performed in the recent years shows the performance of AE on healing systems carrying agent that is encapsulated or embedded into advanced vascular networks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Abbreviations
- Acoustic Emission:
-
Physical phenomenon whereby transient elastic waves are emitted due to internal material movements
- Amplitude (dB or V):
-
The maximum (peak) value that a waveform attains
- Attenuation (dB/m):
-
The effect of signal magnitude drops as the distance of sensor from the source increases
- Average Frequency (kHz):
-
The ratio of threshold crossings (counts) over the signal duration
- Count (/):
-
Number of times that the signal exceeds the amplitude threshold
- Duration (μs):
-
Time interval between the signal onset (first threshold crossing) and the last threshold crossing
- Energy (μVs):
-
Area under the waveform envelope corresponding to the energy contained in the signal
- Event (/):
-
A local material change giving rise to acoustic emission
- Felicity effect:
-
The presence of detectable acoustic emission at fixed sensitivity level, below previously exceeded stress levels
- Hit (/):
-
Detection and identification of signal by an AE sensor
- Kaiser effect:
-
The absence of detectable acoustic emission at a fixed sensitivity level, until previously applied stress levels are exceeded
- Source localization:
-
Computing method that detects source location and time based on localization triangulation algorithm that considers the signal arrival times of the sensors array and a predetermined wave propagation velocity
- Rise time (μs):
-
Time interval between the signal onset and the peak amplitude
- RA value (μs/V):
-
The ratio of signal rise time over its amplitude
- Sensor:
-
Detection apparatus made by piezoelectric PZT plate that senses transient elastic waves and transforms it into electrical signal
- Signal:
-
The electrical signal coming from the transducing element and passing through the subsequent signal conditioning element
- Stress wave:
-
Wave emitted as material responds to any type of stressor
- Threshold (dB):
-
Amplitude level set such that only signals with amplitude greater than this level are identified and stored
References
Aggelis DG (2011) Classification of cracking mode in concrete by acoustic emission parameters. Mech Res Commun 38(3):153–157. https://doi.org/10.1016/j.mechrescom.2011.03.007
Aggelis DG, Dassios KG, Kordatos EZ, Matikas TE (2013) Damage accumulation in cyclically-loaded glass-ceramic matrix composites monitored by acoustic emission. Sci World J 869467:10. https://doi.org/10.1155/2013/869467
Behnia A, Chai HK, Yorikawa M, Momoki S, Terazawa M, Shiotani T (2014) Integrated non-destructive assessment of concrete structures under flexure by acoustic emission and travel time tomography. Constr Build Mater 67:202–215. https://doi.org/10.1016/j.conbuildmat.2014.05.011
Carpinteri A, Lacidogna G, Paggi M (2007) Acoustic emission monitoring and numerical modeling of FRP delamination in RC beams with non-rectangular cross-section. Mater Struct 40(6): 553–566. https://doi.org/10.1617/s11527-006-9162-4
De Belie N, Van Tittelboom K, Tsangouri E, Karaiskos G, Snoeck D, Wang J, Araujo A, Van Hemelrijck D (2015) Autonomous regeneration of concrete structures by incorporation of self-healing mechanisms. In: International conference on the regeneration and conservation of concrete structures (RCCS), Nagasaki
Dry C, McMillan W (1996) Three-part methylmethacrylate adhesive system as an internal delivery system for smart responsive concrete. Smart Mater Struct 5(3):297. https://doi.org/10.1088/0964-1726/5/3/007
Dunegan HL, Harris DO, Tatro CA (1968) Fracture analysis by use of acoustic emission. Eng Fract Mech 1(1):105–122. https://doi.org/10.1016/0013-7944(68)90018-0
Evans AG, Clifton JR, Anderson E (1976) The fracture mechanics of mortars. Cem Concr Res 6(4):535–547. https://doi.org/10.1016/0008-8846(76)90082-X
Feiteira J, Tsangouri E, Gruyaert E, Lors G, Louis G, De Belie N (2017) Monitoring crack movement in polymer-based self-healing concrete through digital image correlation, acoustic emission analysis and SEM in-situ loading. Mater Des 115:238–246. https://doi.org/10.1016/j.matdes.2016.11.050
Ghosh SK (ed) (2009) Self-healing materials: fundamentals, design strategies and applications. Wiley-VCH, Weinheim. https://doi.org/10.1002/9783527625376
Gilabert F, Van Tittelboom K, Tsangouri E, Van Hemelrijck D, De Belie N, Van Paepegem W (2017) Determination of strength and debonding energy of a glass-concrete interface for encapsulation-based self-healing concrete. Cem Concr Compos 79:76–93. https://doi.org/10.1016/j.cemconcomp.2017.01.011
Granger S, Loukili A, Pijaudier-Cabot G, Chanvillard G (2007) Experimental characterization of the self-healing of cracks in an ultra high performance cementitious material: mechanical tests and acoustic emission analysis. Cem Concr Res 37(4):519–527. https://doi.org/10.1016/j.cemconres.2006.12.005
Grosse C, Krüger M (2006) Wireless acoustic emission sensor networks for structural health monitoring in civil engineering. In: European conference on non-destructive testing (ECNDT), Berlin
Grosse C, Malm F (2016) Combination of inspection and monitoring techniques for the detection of fractures in concrete with self-healing properties. In: 9th international conference on fracture mechanics of concrete and concrete structures, FraMCoS-9
Grosse C, Reinhardt H, Dahm T (1997) Localization and classification of fracture types in concrete with quantitative acoustic emission measurement techniques. NDT E Int 30(4):223–230. https://doi.org/10.1016/S0963-8695(96)00060-6
Kaiser J (1953) Erkenntnisse und Folgerungen aus der Messung von Gerad’uschen bei Zugbeanspruchung metallischen Werkstoffen (in German). Steel Res Int 24(1–2):43–45
Karaiskos G, Tsangouri E, Aggelis DG, Daraemaeker A, Van Hemelrijck D (2016) Performance monitoring of large-scale autonomously healed concrete beams under four-point bending through multiple non-destructive testing methods. Smart Mater Struct 25(5):055003. https://doi.org/10.1088/0964-1726/25/5/055003
Kobayashi AS, Hawkins NM, Chan YA, Lin IJ (1980) A feasibility study of detecting reinforcing-bar debonding by acoustic-emission technique. Exp Mech 20(9):301–308. https://doi.org/10.1007/BF02328623
Landis EN (1999) Micro–macro fracture relationships and acoustic emissions in concrete. Constr Build Mater 13(1):65–72. https://doi.org/10.1016/S0950-0618(99)00009-4
Lelon J (2017) Experimental testing to assess the upscaling of vascular self-healing on concrete. Master dissertation, Vrije Universiteit Brussel, Brussels
Maji A, Shah SP (1988) Process zone and acoustic-emission measurements in concrete. Exp Mech 28(1):27–33. https://doi.org/10.1007/BF02328992
Malm F, Grosse C (2016) Efficiency of self-healing agents for cementitious materials characterized by NDT. World Conference on NDT (WCNDT 2016), Munich
Minnebo P, Thierens G, De Valck G, Van Tittelboom K, De Belie N, Van Hemelrijck D, Tsangouri E (2017) A novel design of autonomously healed concrete: towards a vascular healing network. Materials 10(1):49. https://doi.org/10.3390/ma10010049
Mirmiran A, Philip S (2000) Comparison of acoustic emission activity in steel-reinforced and FRP-reinforced concrete beams. Constr Build Mater 14(6):299–310. https://doi.org/10.1016/S0950-0618(00)00036-2
Mobasher B, Stang H, Shah SP (1990) Microcracking in fiber reinforced concrete. Cem Concr Res 20(5):665–676. https://doi.org/10.1016/0008-8846(90)90001-E
Nielsen J, Griffin DF (1977) Acoustic emission of plain concrete. J Test Eval 5(6):476–483. https://doi.org/10.1520/JTE10561J
Ohtsu M (1987) Acoustic emission characteristics in concrete and diagnostic applications. JAE 6(2):99–108
Otsuka K, Date H (2000) Fracture process zone in concrete tension specimen. Eng Fract Mech 65(2):111–131
Pollock A (1969) Stress-wave emission in ndt. Non-Destr Test 2(3):178–182. https://doi.org/10.1016/0029-1021(69)90109-1
Rilem TC 212-ACD (2010) Acoustic emission and related NDE techniques for crack detection and damage evaluation in concrete. Mater Struct 43(9):1183–1186. https://doi.org/10.1617/s11527-010-9639-z
Rilem TC 50-FCM (1985) Determination of fracture energy of mortar and concrete by means of three-point bend tests on notched beams. Mater Struct 18(106):285–290. https://doi.org/10.1007/BF02498757
Rossi P, Robert JL, Gervais JP, Bruhat D (1989) Identification of the physical mechanisms underlying acoustic emissions during the cracking of concrete. Mater Struct 22(3):194–198
Rossi P, Robert JL, Gervais JP, Bruhat D (1990) The use of acoustic emission in fracture mechanics applied to concrete. Eng Fract Mech 35(4–5):751–763. https://doi.org/10.1016/0013-7944(90)90158-D
Seo Y, Kim YR (2008) Using acoustic emission to monitor fatigue damage and healing in asphalt concrete. KSCE J Civ Eng 12(4):237–243. https://doi.org/10.1007/s12205-008-0237-3
Shah SP, Choi S (1999) Nondestructive techniques for studying fracture processes in concrete. Int J Fract 98(3):351–359. https://doi.org/10.1023/A:1018620008780
Shield CK (1997) Comparison of acoustic emission activity in reinforced and prestressed concrete beams under bending. Constr Build Mater 11(3):189–194. https://doi.org/10.1016/S0950-0618(97)00036-6
Shiotani T, Momoki S, Chai H, Aggelis DG (2009) Elastic wave validation of large concrete structures repaired by means of cement grouting. Constr Build Mater 23(7):2647–2652. https://doi.org/10.1016/j.conbuildmat.2009.01.005
Shull PJ (ed) (2016) Nondestructive evaluation: theory, techniques, and applications. Marcel Dekker, Inc. New York, Basel
Thierens G, De Valck G (2015) A novel design of autonomously healed concrete-towards the agent vascular network. Master dissertation, Vrije Universiteit Brussel, Brussels
Tsangouri E (2015) Experimental assessment of fracture and autonomous healing of concrete and polymer systems. PhD dissertation, Vrije Universiteit Brussel (VUB), Brussels
Tsangouri E, Aggelis DG, Van Tittelboom K, De Belie N, Van Hemelrijck D (2013a) Detecting the activation of a self-healing mechanism in concrete by acoustic emission and digital image correlation. Sci World J 424560:10. https://doi.org/10.1155/2013/424560
Tsangouri E, Van Tittelboom K, Van Hemelrijck D, De Belie N (2013b) Visualization of the healing process on reinforced concrete beams by application of digital image correlation (DIC). Mater Charact VI 77:283. https://doi.org/10.2495/MC130251
Tsangouri E, Karaiskos G, Aggelis D, Deraemaeker A, Van Hemelrijck D (2014) Healing performance on concrete under mode I fracture by ultrasonic testing using embedded transducers, acoustic emission and digital image correlation method. In: 9th International conference on structural dynamics (EURODYN 2014), Porto
Tsangouri E, Karaiskos G, Aggelis DG, Deraemaeker A, Van Hemelrijck D (2015) Crack sealing and damage recovery monitoring of a concrete healing system using embedded piezoelectric transducers. Struct Health Monit 14(5):462–474. https://doi.org/10.1177/1475921715596219
Tsangouri E, Karaiskos G, Deraemaeker A, Van Hemelrijck D, Aggelis D (2016) Assessment of acoustic emission localization accuracy on damaged and healed concrete. Constr Build Mater 129:163–171. https://doi.org/10.1016/j.conbuildmat.2016.10.104
Van Tittelboom K (2012) Self-healing concrete through incorporation of encapsulated bacteria-or polymer-based healing agents. PhD dissertation, University of Ghent, Ghent
Van Tittelboom K, De Belie N, Lehmann F, Grosse C (2012) Acoustic emission analysis for the quantification of autonomous crack healing in concrete. Constr Build Mater 28(1):333–341. https://doi.org/10.1016/j.conbuildmat.2011.08.079
Van Tittelboom K, Tsangouri E, Van Hemelrijck D, De Belie N (2015) The efficiency of self-healing concrete using alternative manufacturing procedures and more realistic crack patterns. Cem Concr Compos 57:142–152. https://doi.org/10.1016/j.cemconcomp.2014.12.002
Van Tittelboom K, Wang J, Araújo M, Snoeck D, Gruyaert E, Debbaut B, Derluyn H, Cnudde V, Tsangouri E, Van Hemelrijck D, De Belie N (2016) Comparison of different approaches for self-healing concrete in a large-scale lab test. Constr Build Mater 107:125–137. https://doi.org/10.1016/j.conbuildmat.2015.12.186
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this entry
Cite this entry
Tsangouri, E., Aggelis, D.G. (2019). Acoustic Emission. In: Ida, N., Meyendorf, N. (eds) Handbook of Advanced Nondestructive Evaluation. Springer, Cham. https://doi.org/10.1007/978-3-319-26553-7_17
Download citation
DOI: https://doi.org/10.1007/978-3-319-26553-7_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-26552-0
Online ISBN: 978-3-319-26553-7
eBook Packages: EngineeringReference Module Computer Science and Engineering