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Sensors Used in Structural Health Monitoring

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Abstract

In the last years, the occurrence of natural hazards around the world has evinced the necessity of having structural health monitoring schemes that can allow the continuous assessment of the structural integrity of the civil structures or infrastructures, in order to avoid potential economic or human loses; further, it also allows the application of new sensing technologies and signal processing algorithms. An important step in a structural health monitoring strategy is the appropriate selection of the sensor used to measure the required physical variable. Although several reviews have been published, they focus on presenting and/or explaining the methodologies and signal processing techniques used in structural health monitoring. This article presents a state-of-the-art review of the sensing technologies used in structural health monitoring. Further, some candidate sensor technologies with potential of use in this area are also reviewed, where the main issues that affect their implementation in real-life schemes are also discussed.

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References

  1. Amezquita-Sanchez JP, Hojjat A (2016) Signal processing techniques for vibration-based health monitoring of smart structures. Arch Comput Methods Eng 23:1–15. doi:10.1007/s11831-014-9135-7

    Article  MathSciNet  MATH  Google Scholar 

  2. Gattulli V, Lepidi M, Potenza F (2016) Dynamic testing and health monitoring of historic and modern civil structures in Italy. Struct Monit Maint 3:71–90. doi:10.12989/smm201631071

    Article  Google Scholar 

  3. Perez-Ramirez CA, Amezquita-Sanchez JP, Hojjat A, Valtierra-Rodriguez M, Romero-Troncoso RJ, Dominguez-Gonzalez A, Osornio-Rios RA (2016) Time-frequency techniques for modal parameters identification of civil structures from acquired dynamic signals. J Vibroeng 18:3164–3185. doi:10.21595/jve201617220

    Article  Google Scholar 

  4. Amezquita-Sanchez, JP, Hojjat, A (2015) Feature extraction and classification techniques for health monitoring of structures Sci Iran Trans A Civ Eng 6:1931–1940. Available at http://www.scientiairanica.com/en/ManuscriptDetail?mid=3227. Accessed 25 Sep 2016

  5. Webb GT, Vardanega PJ, Middleton, CR (2015) Categories of SHM deployments: technologies and capabilities. J Bridge Eng 20:04014118. doi:10.1061/(ASCE)BE1943-55920000735

    Article  Google Scholar 

  6. Wijesinghe B, Zacharie S, Mish K, Baldwin J (2013) Design and development of in situ fatigue sensors for structural health monitoring of highway bridges. J Bridge Eng 18:297–307. doi:10.1061/(ASCE)BE1943-55920000361

    Article  Google Scholar 

  7. Sun H, Mordret A, Prieto GA, Toksöz MT, Büyüköztürk O (2017) Bayesian characterization of buildings using seismic interferometry on ambient vibrations. Mech Syst Signal Process 85:468–486. doi:10.1016/jymssp201608038

    Article  Google Scholar 

  8. Karapetrou S, Manakou M, Bindi D, Petrovic B, Pitilakis K (2016) “Time-building specific” seismic vulnerability assessment of a hospital RC building using field monitoring data. Eng Struct 112:114–132. doi:10.1016/jengstruct201601009

    Article  Google Scholar 

  9. Santos A, Silva M, Santos R, Figueiredo E, Sales C, Costa JC (2016) A global expectation-maximization based on memetic swarm optimization for structural damage detection. Struct Health Monit 15:610–625. doi:10.1177/1475921716654433

    Article  Google Scholar 

  10. Dilena M, Morassi A (2011) Dynamic testing of a damaged bridge. Mech Syst Signal Process 25:1485–1507. doi:10.1016/jymssp201012017

    Article  Google Scholar 

  11. Gomez HC, Ulusoy HS, Feng QM (2013) Variation of modal parameters of a highway bridge extracted from six earthquake records. Earthquake Eng Struct Dyn 42:565–579. doi:10.1002/eqe2227

    Article  Google Scholar 

  12. Franco JM, Marulanda J, Caicedo JM (2015) Modal identification of a full-scale building under seismic excitation using the fast mode identification technique. Exp Tech. doi:10.1111/ext12164

    Article  Google Scholar 

  13. Foti D, Gattulli V, Potenza F (2014) Output-only identification and model updating by dynamic testing in unfavorable conditions of a seismically damaged building. Comput Aided Civ Infrastruct Eng 29:659–675. doi:10.1111/mice12071

    Article  Google Scholar 

  14. Chang K-C, Kim C-W (2016) Modal-parameter identification and vibration-based damage detection of a damaged steel truss bridge. Eng Struct 122:156–173. doi:10.1016/jengstruct201604057

    Article  Google Scholar 

  15. Bursi OS, Kumar A, Abbiati G, Ceravolo R (2014) Identification, model updating, and validation of a steel twin deck curved cable-stayed footbridge. Comput Aided Civ Infrastruct Eng 29:703–722. doi:10.1111/mice12076

    Article  Google Scholar 

  16. Zhou HF, Ni YQ, Ko JM (2011) Structural damage alarming using auto-associative neural network technique: exploration of environment-tolerant capacity and setup of alarming threshold. Mech Syst Signal Process 25:1508–1526. doi:10.1016/jymssp201101005

    Article  Google Scholar 

  17. Moser P, Moaveni B (2013) Design and deployment of a continuous monitoring system for the dowling hall footbridge. Exp Tech 37:15–26. doi:10.1111/j1747-1567201100751x

    Article  Google Scholar 

  18. Morovati V, Kazemi MT (2016) Detection of sudden structural damage using blind source separation and time–frequency approaches. Smart Mater Struct 25:055008. doi:10.1088/0964-1726/25/5/055008

    Article  Google Scholar 

  19. Dragos K, Smarsly K (2016) Distributed adaptive diagnosis of sensor faults using structural response data. Smart Mater Struct 25:105019. doi:10.1088/0964-1726/25/10/105019

    Article  Google Scholar 

  20. Jang S, Spencer Jr BF, Sim S-H (2012) A decentralized receptance-based damage detection strategy for wireless smart sensors. Smart Mater Struct 21:055017. doi:10.1088/0964-1726/21/5/055017

    Article  Google Scholar 

  21. Osornio-Rios RA, Amezquita-Sanchez JP, Romero-Troncoso RJ, Garcia-Perez A (2012) MUSIC-ANN analysis for locating structural damages in a truss-type structure by means of vibrations. Comput Aided Civ Infrastruct Eng 27:687–698. doi:10.1111/j1467-8667201200777x

    Article  Google Scholar 

  22. Ubertini F, Comanducci G, Cavalagli N, Pisello AL, Materazzi AL, Cotana F (2017) Environmental effects on natural frequencies of the San Pietro bell tower in Perugia, Italy, and their removal for structural performance assessment. Mech Syst Signal Process 82:307–322. doi:10.1016/jymssp201605025

    Article  Google Scholar 

  23. Saisi A, Gentile C, Guidobaldi M (2015) Post-earthquake continuous dynamic monitoring of the Gabbia Tower in Mantua, Italy. Constr Build Mater 81:101–112. doi:10.1016/jconbuildmat201502010

    Article  Google Scholar 

  24. Lorenzoni F, Casarin F, Modena C, Caldon M, Islami K, da Porto F (2013) Structural health monitoring of the Roman Arena of Verona, Italy. J Civil Struct Health Monit 3:227–246. doi:10.1007/s13349-013-0065-0

    Article  Google Scholar 

  25. Elyamani A, Caselles O, Roca P, Clapes J (2016) Dynamic investigation of a large historical cathedral. J Civil Struct Health Monit. doi:10.1002/stc1885

    Article  Google Scholar 

  26. Li QS, Zhi L-H, Tuan AY, Kao C-S, Su S-C, Wu C-F (2011) Dynamic behavior of Taipei 101 tower: field measurement and numerical analysis. J Struct Eng 137:143–155. doi:10.1061/ASCEST1943-541X0000264

    Article  Google Scholar 

  27. Li Z, Park HS, Adeli H (2016) New method for modal identification of super high-rise building structures using discretized synchrosqueezed wavelet and Hilbert transforms. Struct Des Tall Spec Build. doi:10.1002/tal1312

    Article  Google Scholar 

  28. Ni YQ, Xia Y, Lin W, Chen WH, Ko JM (2012) SHM benchmark for high-rise structures: a reduced-order finite element model and field measurement data. Smart Struct Syst 4–5:411–426. doi:10.12989/sss2012104_5411

    Article  Google Scholar 

  29. Gueguen P, JolivetV, Michel C, Schveitzer A-N (2010) Comparison of velocimeter and coherent lidar measurements for building frequency assessment. Bull Earthquake Eng 8:327–338. doi:10.1007/s10518-009-9137-2

    Article  Google Scholar 

  30. Farahani RV, Penumadu D (2016) Damage identification of a full-scale five-girder bridge using time-series analysis of vibration data. Eng Struct 115:129–139. doi:10.1016/jengstruct201602008

    Article  Google Scholar 

  31. Su WC, Huang CS, Chen CH, Liu CY, Huang HC, Le QT (2014) Identifying the modal parameters of a structure from ambient vibration data via the stationary wavelet packet. Comput Aided Civ Infrastruct Eng 29:738–757. doi:10.1111/mice12115

    Article  Google Scholar 

  32. Dai K, Boyajian D, Liu W, Chen S-E, Scott J, Schmieder M (2014) Laser-Based Field Measurement for a Bridge Finite-Element Model Validation. J Perform Constr Facil 28:04014024. doi:10.1061/(ASCE)CF1943-55090000484

    Article  Google Scholar 

  33. Sung Y-C, Lin T-K, Chiu Y-T, Chang K-C, Chen K-L, Chang C-C (2016) A bridge safety monitoring system for prestressed composite box-girder bridges with corrugated steel webs based on in-situ loading experiments and a long-term monitoring database. Eng Struct 126:571–585. doi:10.1016/jengstruct201608006

    Article  Google Scholar 

  34. Benedettini F, Dilena M, Morassi A (2015) Vibration analysis and structural identification of a curved multi-span viaduct. Mech Syst Signal Process 54–55:84–107. doi:10.1016/jymssp201408008

    Article  Google Scholar 

  35. Lin T-K, Chang Y-S (2017) Development of a real-time scour monitoring system for bridge safety evaluation. Mech Syst Signal Process 82:503–518. doi:10.1016/jymssp201605040

    Article  Google Scholar 

  36. Farahani RV, Penumadu D (2016) Full-scale bridge damage identification using time series analysis of a dense array of geophones excited by drop weight. Struct Control Health Monit 23:982–997. doi:10.1002/stc1820

    Article  Google Scholar 

  37. Valla M, Gueguen P, Augère B, Goular D, Perrault, M (2015) Remote modal study of reinforced concrete buildings using a multipath lidar vibrometer. J Struct Eng 141:D4014005. doi:10.1061/(ASCE)ST1943-541X0001087

    Article  Google Scholar 

  38. Bergamo O, Campione G, Donadello S, Russo G (2015) In-situ NDT testing procedure as an integral part of failure analysis of historical masonry arch bridges. Eng Fail Anal 57:31–55. doi:10.1016/jengfailanal201507019

    Article  Google Scholar 

  39. Liao Y, Kiremidjian AS, Rajagopal R, Loh, C-H (2016) Angular velocity-based structural damage detection. In: Proceedings of the sensors and smart structures technologies for civil, mechanical, and aerospace systems conference, Las Vegas, Nevada, United States, March 20, 2016, Jerome P Lynch, SPIE. doi:10.1117/122219398

  40. Sung SH, Lee JH, Park JW, Koo KY, Jung HJ (2014) Feasibility study on an angular velocity-based damage detection method using gyroscopes. Meas Sci Technol 25:075009. doi:10.1088/0957-0233/25/7/075009

    Article  Google Scholar 

  41. Sung SH, Park JW, Nagayama T, Jung HJ (2014) A multiscale sensing and diagnosis system combining accelerometers and gyroscopes for bridge health monitoring. Smart Mater Struct 23:015005. doi:10.1088/09641726/23/1/015005

    Article  Google Scholar 

  42. Li H, Dong S, El-Tawil S, Kamat VR (2013) Relative displacement sensing techniques for postevent structural damage assessment: review. J Struct Eng 139:1421–1434, doi:10.1061/(ASCE)ST1943-541X0000729

    Article  Google Scholar 

  43. Antonelli K, Astakhov VP, Bandyopadhyay A et al (1999) Displacement measurement, linear and angular. In: Webster JG, Eren H (eds) The measurement, instrumentation and sensors handbook on CD-ROM. CRC Press, Boca Raton

    Google Scholar 

  44. Im SB, Hurlebaus S, Kang YJ (2013) Summary review of GPS technology for structural health monitoring. J Struct Eng 139:1653–1664. doi:10.1061/(ASCE)ST1943-541X0000475

    Article  Google Scholar 

  45. Su WC, Liu CY, Huang CS (2014) Identification of instantaneous modal parameter of time-varying systems via a wavelet-based approach and its application. Comput Aided Civ Infrastruct Eng 29:279–298. doi:10.1111/mice12037

    Article  Google Scholar 

  46. Saisi A, Gentile C, Ruccolo A (2016) Pre-diagnostic prompt investigation and static monitoring of a historic bell-tower. Constr Build Mater 122:833–844. doi:10.1016/jconbuildmat201604016

    Article  Google Scholar 

  47. McGetrick PJ, Kim C-W, González A, O Brien EJ (2015) Experimental validation of a drive-by stiffness identification method for bridge monitoring. Struct Health Monit 14:317–331. doi:10.1177/1475921715578314

    Article  Google Scholar 

  48. He L, Lian J, Ma B (2014) Intelligent damage identification method for large structures based on strain modal parameters. J Vib Control 20:1783–1795. doi:10.1177/1077546312475150

    Article  Google Scholar 

  49. Loh C-H, Chan C-K, Chen SF, Huang S-K (2016) Vibration-based damage assessment of steel structure using global and local response measurements. Earthquake Eng Struct Dyn 45:699–718. doi:10.1002/eqe2680

    Article  Google Scholar 

  50. Murià-Vila D, Sánchez-Ramírez AR, Huerta-Carpizo CH, Aguilar G, Camargo Pérez J, Carrillo Cruz RE (2014) Field tests of elevated viaducts in Mexico City. J Struct Eng 141:04016074. doi:10.1061/(ASCE)ST1943-541X0001527

    Article  Google Scholar 

  51. Li S, Zuo Z, Zhai C, Xu S, Xie L (2016) Shaking table test on the collapse process of a three-story reinforced concrete frame structure. Eng Struct 118:156–166. doi:10.1016/jengstruct201603032

    Article  Google Scholar 

  52. Stavridis A, Ahmadi F, Mavros M, Shing PB, Klingner RE, McLean D (2016) Shake-table tests of a full-scale three-story reinforced masonry shear wall structure. J Struct Eng 142:D4014001. doi:10.1061/(ASCE)ST1943-541X0001086

    Article  Google Scholar 

  53. Le HX, Hwang E-S (2016) Investigation of deflection and vibration criteria for road bridges KSCE. J Civ Eng. doi:10.1007/s12205-016-0532-3

    Article  Google Scholar 

  54. Han H, Wang J, Meng X, Liu (2016) Analysis of the dynamic response of a long span bridge using GPS/accelerometer/anemometer under typhoon loading. Eng Struct 122:238–250. doi:10.1016/jengstruct201604041

    Article  Google Scholar 

  55. Erdogan H, Gülal E (2013) Ambient vibration measurements of the Bosphorus suspension bridge by total station and GPS. Exp Tech 37:16–23. doi:10.1111/j1747-1567201100723x

    Article  Google Scholar 

  56. Chatzis MN, Chatzi EN, Smyth AW (2015) An experimental validation of time domain system identification methods with fusion of heterogeneous data. Earthquake Eng Struct Dyn 44:523–547. doi:10.1002/eqe2528

    Article  Google Scholar 

  57. Islam MN, Zareie S, Alam MS, Seethaler RJ (2016) Novel method for interstory drift measurement of building frames using laser-displacement sensors. J Struct Eng 142:06016001. doi:10.1061/(ASCE)ST1943-541X0001471

    Article  Google Scholar 

  58. Park J-W, Lee K-C, Sim S-H, Jung H-J, Spencer BF Jr (2016) Traffic safety evaluation for railway bridges using expanded multisensor data fusion. Comput Aided Civ Infrastruct Eng 31:749–760. doi:10.1111/mice12210

    Article  Google Scholar 

  59. Gokanakonda S, Ghantasala MK, Kujawski D (2016) Fatigue sensor for structural health monitoring: design, fabrication and experimental testing of a prototype sensor. Struct Control Health Monit 23:237–251. doi:10.1002/stc1765

    Article  Google Scholar 

  60. Priyantha Wijesinghe BHM, Zacharie SA, Mish KD, Baldwin JD (2013) Design and development of in situ fatigue sensors for structural health monitoring of highway bridges. J Bridge Eng 18:297–307. doi:10.1061/(ASCE)BE1943-55920000361

    Article  Google Scholar 

  61. Papazian JM, Nardiello J, Silberstein RP, Welsh G, Grundy D, Craven C, Evans L, Goldfine N, Michaels JE, Michaels TE, Li Y, Laird C (2007) Sensors for monitoring early stage fatigue cracking. Int J Fatigue 29:1668–1680. doi:10.1016/jijfatigue200701023

    Article  MATH  Google Scholar 

  62. Nor NM, Ibrahim A, Bunnori NM, Saman HM, Saliah SNMS, Shahidan S (2014) Diagnostic of fatigue damage severity on reinforced concrete beam using acoustic emission technique. Eng Fail Anal 41:1–9. doi:10.1016/jengfailanal201307015

    Article  Google Scholar 

  63. Li H, Huang Y, Chen WL, Ma ML, Tao DW (2011) Estimation and warning of fatigue damage of FRP stay cables based on acoustic emission techniques and fractal theory. Comput Aided Civ Infrastruct Eng 26:500–512. doi:10.1111/j1467-8667201000713x

    Article  Google Scholar 

  64. Mutlib NK, Baharom SB, El-Shafie A, Nuawi MZ (2016) Ultrasonic health monitoring in structural engineering: buildings and bridges. Struct Control Health Monit 23:409–422. doi:10.1002/stc1800

    Article  Google Scholar 

  65. Deng Y, Liu Y, Feng D-M, Li A-Q (2015) Investigation of fatigue performance of welded details in long-span steel bridges using long-term monitoring strain data. Struct Control Health Monit 22:1343–1358. doi:10.1002/stc1747

    Article  Google Scholar 

  66. Rajan SS, Jaya KP, Lakshmanan N (2009) Development of load cells for simultaneous measurement of drag, lift, and moment for section models of bridge decks under wind load. Exp Tech 33:38–45. doi:10.1111/j1747-1567200900532x

    Article  Google Scholar 

  67. Ferreira JG, Branco F (2015) Measurement of vertical deformations in bridges using an innovative elastic cell system. Exp Tech 39:13–20. doi:10.1111/j1747-1567201200852x

    Article  Google Scholar 

  68. Sideris P, Aref AJ, Filiatrault A (2014) Large-scale seismic testing of a hybrid sliding-rocking posttensioned segmental bridge system. J Struct Eng 140:04014025. doi:10.1061/(ASCE)ST1943-541X0000961

    Article  Google Scholar 

  69. Okazaki T, Lignos DG, Hikino T, Kajiwara K (2013) Dynamic response of a chevron concentrically braced frame. J Struct Eng 139:515–525. doi:10.1061/(ASCE)ST1943-541X0000679

    Article  Google Scholar 

  70. Lin Y-C, Sause R, Ricles J (2013) Seismic performance of a large-scale steel self-centering moment-resisting frame: MCE hybrid simulations and quasi-static pushover tests. J Struct Eng 139:1227–1236. doi:10.1061/(ASCE)ST1943-541X0000661

    Article  Google Scholar 

  71. Abdullah ABM, Rice JA, Hamilton HR, Consolazio, GR (2016) Experimental and numerical evaluation of unbonded posttensioning tendons subjected to wire breaks. J Bridge Eng 21:04016066. doi:10.1061/(ASCE)BE1943-55920000940

    Article  Google Scholar 

  72. Astroza R, Ebrahimian H, Contel JP, Restrepo JI, Hutchinson TC (2016) System identification of a full-scale five-story reinforced concrete building tested on the NEES-UCSD shake table. Struct Control Health Monit 23:535–559. doi:10.1002/stc1778

    Article  Google Scholar 

  73. Modares M, Waksmanski N (2013) Overview of structural health monitoring for steel bridges. Pract Period Struct Des Constr 18:187–191. doi:10.1061/(ASCE)SC1943-55760000154

    Article  Google Scholar 

  74. Moreu F, Kim RE, Spencer Jr BF (2016) Railroad bridge monitoring using wireless smart sensors. Struct Control Health Monit. doi:10.1002/stc1863

    Article  Google Scholar 

  75. Santini Bell E, Lefebvre PJ, Sanayei M, Brenner B, Sipple JD, Peddle J (2013) Objective load rating of a steel-girder bridge using structural modeling and health monitoring. J Struct Eng 139:1771–1779. doi:10.1061/(ASCE)ST1943-541X0000599

    Article  Google Scholar 

  76. Fu CC, Zhang N (2011) Investigation of bridge expansion joint failure using field strain measurement. J Perform Constr Facil 25:309–316. doi:10.1061/(ASCE)CF1943-55090000171

    Article  Google Scholar 

  77. Liu R, Ji B, Wang M, Chen C, Maeno H (2015) Numerical evaluation of toe-deck fatigue in orthotropic steel bridge deck. J Perform Constr Facil 29:04014180. doi:10.1061/(ASCE)CF1943-55090000677

    Article  Google Scholar 

  78. Chen Z, Xu Y, Wang X (2012) SHMS-based fatigue reliability analysis of multiloading suspension bridges. J Struct Eng 138:299–307. doi:10.1061/(ASCE)ST1943-541X0000460

    Article  Google Scholar 

  79. Siriwardane SASC, Ohga M, Dissanayake PBR, Kaita T (2010) Structural appraisal-based different approach to estimate the remaining fatigue life of railway bridges. Struct Health Monit 9:323–339. doi:10.1177/1475921710361320

    Article  Google Scholar 

  80. Seo J, Hosteng T, Phares B, Wacker J (2016) Live-load performance evaluation of historic covered timber bridges in the United States. J Perform Constr Facil 30:04015094. doi:10.1061/(ASCE)CF1943-55090000852

    Article  Google Scholar 

  81. Gokce H, Catbas F, Gul M, Frangopol D (2013) Structural identification for performance prediction considering uncertainties: case study of a movable bridge. J Struct Eng 139:1703–1715. doi:10.1061/(ASCE)ST1943-541X0000601

    Article  Google Scholar 

  82. Saiidi M, Vosooghi A, Nelson R (2013) Shake-table studies of a four-span reinforced concrete bridge. J Struct Eng 139:1352–1361. doi:10.1061/(ASCE)ST1943-541X0000790

    Article  Google Scholar 

  83. Srinivas V, Sasmal S, Ramanjaneyulu K, Ravisankar K (2014) Performance evaluation of a stone masonry–arch railway bridge under increased axle loads. J Perform Constr Facil 28:363–375. doi:10.1061/(ASCE)CF1943-55090000407

    Article  Google Scholar 

  84. Nishikata A, Zhu Q, Tada E (2014) Long-term monitoring of atmospheric corrosion at weathering steel bridges by an electrochemical impedance method. Corros Sci 87:80–88. doi:10.1016/jcorsci201406007

    Article  Google Scholar 

  85. Zhang H, Yang R, He Y, Tian GY, Xu L, Wu R (2016) Identification and characterisation of steel corrosion using passive high frequency RFID sensors. Measurement 92:421–427. doi:10.1016/jmeasurement201606041

    Article  Google Scholar 

  86. Perveen K, Bridges GE, Bhadra S, Thomson DJ (2014) Corrosion potential sensor for remote monitoring of civil structure based on printed circuit board sensor. IEEE Trans Instrum Meas 63:2422–2431. doi:10.1109/TIM20142310092

    Article  Google Scholar 

  87. Shaikh H, Sivaibharasi N, Sasi B, Anita T, Amirthalingam R, Rao BPC, Jayakumar T, Khatak HS, Raj B (2005) Use of eddy current testing method in detection and evaluation of sensitisation and intergranular corrosion in austenitic stainless steels. Corros Sci 48:1462–1482. doi:10.1016/jcorsci200505017

    Article  Google Scholar 

  88. Jirarungsatian C, Prateepasen A (2010) Pitting and uniform corrosion source recognition using acoustic emission parameters. Corros Sci 52:187–197. doi:10.1016/jcorsci200909001

    Article  Google Scholar 

  89. Carkhuff B, Cain R (2003) Corrosion sensors for concrete bridges. IEEE Instrum Meas Mag 6:19–24. doi:10.1109/MIM20031200279

    Article  Google Scholar 

  90. Zárate B, Caicedo J, Yu J, Ziehl P (2012) Probabilistic prognosis of fatigue crack growth using acoustic emission data. J Eng Mech 138:1101–1111. doi:10.1061/(ASCE)EM1943-78890000414

    Article  Google Scholar 

  91. Yao Y, Tung S-TE, Glisic B (2014) Crack detection and characterization techniques—an overview. Struct Control Health Monit 21:1387–1413. doi:10.1002/stc1655

    Article  Google Scholar 

  92. Yapar O, Basu PK, Volgyesi P, Ledeczi A (2015) Structural health monitoring of bridges with piezoelectric AE sensors. Eng Fail Anal 56:150–169. doi:10.1016/jengfailanal201503009

    Article  Google Scholar 

  93. Wolf J, Pirskawetz S, Zang A (2015) Detection of crack propagation in concrete with embedded ultrasonic sensors. Eng Fract Mech 146:161–171. doi:10.1016/jengfracmech201507058

    Article  Google Scholar 

  94. Benedetto A (2013) A three dimensional approach for tracking cracks in bridges using GPR. J Appl Geophys 97:37–44. doi:10.1016/jjappgeo201212010

    Article  Google Scholar 

  95. Alavi AH, Hasni H, Jiao P, Borchani W, Lajnef N (2017) Fatigue cracking detection in steel bridge girders through a self-powered sensing concept. J Constr Steel Res 128:19–38. doi:10.1016/jjcsr201608002

    Article  Google Scholar 

  96. Xiang J, Liang M (2012) Wavelet-Based Detection of beam cracks using modal shape and frequency measurements. Comput Aided Civ Infrastruct Eng 27:439–454. doi:10.1111/j1467-8667201200760x

    Article  Google Scholar 

  97. Krakhmal’ny TA, Evtushenko SI, Krakhmal’naya MP (2016) New system of monitoring of a condition of cracks of small reinforced concrete bridge constructions In: Proceedings of the International Conference on Industrial Engineering (ICIE), Chelyabinsk, Russian Federation, May 19–20, 2016, Andrey A. Radionov. Procedia Eng. doi:10.1016/jproeng201607322

  98. Hong A, Ubertini F, Betti R (2011) Wind analysis of a suspension bridge: identification and finite-element model simulation. J Struct Eng 137:133–142. doi:10.1061/(ASCE)ST1943-541X0000279

    Article  Google Scholar 

  99. Kim S, Park J, Kim H (2016) Damping identification and serviceability assessment of a cable-stayed bridge based on operational monitoring data. J Bridge Eng. doi:10.1061/(ASCE)BE1943-55920001004

    Article  Google Scholar 

  100. Chen X (2014) Analysis of multimode coupled buffeting response of long-span bridges to nonstationary winds with force parameters from stationary wind. J Struct Eng 141:04014131. doi:10.1061/(ASCE)ST1943-541X0001078

    Article  Google Scholar 

  101. Kwon D, Spence S, Kareem A (2014) Performance evaluation of database-enabled design frameworks for the preliminary design of tall buildings. J Struct Eng 141:04014242. doi:10.1061/(ASCE)ST1943-541X0001229

    Article  Google Scholar 

  102. Huang M, Lou W, Chan C, Lin N, Pan X (2013) Peak distributions and peak factors of wind-induced pressure processes on tall buildings. J Eng Mech 139:1744–1756. doi:10.1061/(ASCE)EM1943-78890000616

    Article  Google Scholar 

  103. Diana G, Rocchi D, Belloli M (2015) Wind tunnel: a fundamental tool for long-span bridge design. Struct Infrastruct Eng 11:533–555. doi:10.1080/157324792014951860

    Article  Google Scholar 

  104. Wang J, Xu Z, Fan X, Lin J (2016) Thermal effects on curved steel box girder bridges and their countermeasures. J Perform Constr Facil. doi:10.1061/(ASCE)CF1943-55090000952

    Article  Google Scholar 

  105. Farreras-Alcover I, Chryssanthopoulos MK, Andersen JE (2015) Regression models for structural health monitoring of welded bridge joints based on temperature, traffic and strain measurements. Struct Health Monit 14:648–662. doi:10.1177/1475921715609801

    Article  Google Scholar 

  106. Yarnold M, Moon F, Aktan AE (2015) Temperature-based structural identification of long-span bridges. J Struct Eng 141:04015027. doi:10.1061/(ASCE)ST1943-541X0001270

    Article  Google Scholar 

  107. Zhang Y, O’Connor S, van der Linden G, Prakash A, Lynch J (2016) SenStore: a scalable cyberinfrastructure platform for implementation of data-to-decision frameworks for infrastructure health management. J Comput Civ Eng 30:04016012. doi:10.1061/(ASCE)CP1943-54870000560

    Article  Google Scholar 

  108. Torres-Arredondo M-A, Sierra-Pérez J, Tibaduiza D-A, McGugan M, Rodellar J, Fritzen C-P (2015) Signal-based nonlinear modelling for damage assessment under variable temperature conditions by means of acousto-ultrasonics. Struct Control Health Monit 22:1103–1118. doi:10.1002/stc1735

    Article  Google Scholar 

  109. Santos J, Cremona C, Orcesi A, Silveira P (2016) Early damage detection based on pattern recognition and data fusion. J Struct Eng. doi:10.1061/(ASCE)ST1943-541X0001643

    Article  Google Scholar 

  110. Hedegaard B, French C, Shield C (2016) Effects of cyclic temperature on the time-dependent behavior of posttensioned concrete bridges. J Struct Eng 142:04016062. doi:10.1061/(ASCE)ST1943-541X0001538

    Article  Google Scholar 

  111. Kromanis R, Kripakaran P, Harvey B (2016) Long-term structural health monitoring of the Cleddau bridge: evaluation of quasi-static temperature effects on bearing movements. Struct Infras Eng 12:1342–1355. doi:10.1080/1573247920151117113

  112. Yang Y, Dorn C, Mancini T, Talken Z, Kenyon G, Farrar C, Mascareñas D (2017) Blind identification of full-field vibration modes from video measurements with phase-based video motion magnification. Mech Syst Signal Process 85:567–590. doi:10.1016/jymssp201608041

    Article  Google Scholar 

  113. Oh BK, Hwang JW, Kim Y, Cho T, Park HS (2015) Vision-based system identification technique for building structures using a motion capture system. J Sound Control 356:72–85. doi:10.1016/jjsv201507011

    Article  Google Scholar 

  114. Chen C-C, Wu W-H, Tseng H-Z, Chen C-H, Lai G (2015) Application of digital photogrammetry techniques in identifying the mode shape ratios of stay cables with multiple camcorders. Measurement 75:134–146. doi:10.1016/jmeasurement201507037

    Article  Google Scholar 

  115. Yeum CM, Dyke SJ (2015) Vision-based automated crack detection for bridge inspection. Comput Aided Civ Infrastruct Eng 30:759–770. doi:10.1111/mice12141

    Article  Google Scholar 

  116. Andreaus U, Baragatti P, Casini P, Iacoviello D (2016) Experimental damage evaluation of open and fatigue cracks of multi-cracked beams by using wavelet transform of static response via image analysis. Struct Control Health Monit. doi:10.1002/stc1902

    Article  Google Scholar 

  117. Enckell M, Andersen JE, Glisic B, Silfwerbrand J (2013) New and emerging technologies in structural health monitoring: part I civil and environmental engineering. In: Kutz M (ed) Handbook of measurement in science and engineering. Wiley, Hoboken, pp 1–78. doi:10.1002/9781118436707hmse001

    Chapter  Google Scholar 

  118. Mukhopadhyay SC, Ihara I (2011) Sensors and technologies for structural health monitoring: a review. In: Mukhopadhyay SC (ed) New developments in sensing technology for structural health monitoring. Springer, Berlin, pp 1–14, doi:10.1007/978-3-642-21099-0_1

    Chapter  Google Scholar 

  119. Helmi K, Taylor T, Zarafshan A, Ansari F (2015) Reference free method for real time monitoring of bridge deflections. Eng Struct 103:116–124. doi:10.1016/jengstruct201509002

    Article  Google Scholar 

  120. Rodrigues C, Félix C, Lage A, Figueiras J (2010) A development of a long-term monitoring system based on FBG sensors applied to concrete bridges. Eng Struct 32:1993–2002. doi:10.1016/jengstruct201002033

    Article  Google Scholar 

  121. Antunes P, Lima H, Varum H, André P (2012) Optical fiber sensors for static and dynamic health monitoring of civil engineering infrastructures: abode wall case study. Measurement 45:1695–1705. doi:10.1016/jmeasurement201204018

    Article  Google Scholar 

  122. Tan CH, Shee YG, Yap BK, Mahamd Adikan FR (2016) Fiber Bragg grating based sensing system: early corrosion detection for structural health monitoring. Sens Actuators A 246:123–128. doi:10.1016/jsna201604028

    Article  Google Scholar 

  123. Sahay P, Kaya M, Wang C (2013) Fiber loop ringdown sensor for potential real-time monitoring of cracks in concrete structures: an exploratory study. Sensors 13:39–57. doi:10.3390/s130100039

    Article  Google Scholar 

  124. Perez-Ramirez CA, Almanza-Ojeda DL, Guerrero-Tavares JN, Mendoza-Galindo FJ, Estudillo-Ayala JM, Ibarra-Manzano MA (2014) An architecture for measuring joint angles using a long period fiber grating-based sensor. Sensors 14:24483–24501. doi:10.3390/s141224483

    Article  Google Scholar 

  125. Sirohi J, Chopra I (2010) Piezoceramic actuators and sensors. In: Blockley R, Shyy W (eds) Encyclopedia of aerospace engineering, vol 6. Wiley, Hoboken, pp 1–14. doi:10.1002/9780470686652eae231

    Chapter  Google Scholar 

  126. Ruiz D, Bellido JC, Donoso A (2016) Optimal design of piezoelectric modal transducers. Arch Comput Methods Eng. doi:10.1007/s11831-016-9200-5

    Article  MATH  Google Scholar 

  127. Kong Q, Robert RH, Silva P, Mo YL (2016) Cyclic crack monitoring of a reinforced concrete column under simulated pseudo-dynamic loading using piezoceramic-based smart aggregates. Appl Sci 6:341. doi:10.3390/app6110341

    Article  Google Scholar 

  128. Guofeng D, Linsheng H, Qingzhao K, Gangbing S (2016) Damage detection of pipeline multiple cracks using piezoceramic transducers. J Vibroeng 18:2828–2838. doi:10.21595/jve201617040

    Article  Google Scholar 

  129. Wang RL, Gu H, Song G (2013) Active sensing based bolted structure health monitoring using piezoceramic transducers. Int J Distrib Sens Netw 9:583205. doi:10.1155/2013/583205

    Article  Google Scholar 

  130. Yan S, Wu J, Sun W, Ma H, Yan H (2013) Development and application of structural health monitoring system based on piezoelectric sensors. Int J Distrib Sens Netw 9:270927. doi:10.1155/2013/270927

    Article  Google Scholar 

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Funding

This work was funded in part by the Mexican Council of Science and Technology (CONACyT) by the scholarships: 304844 and 289377, and by the project SEP-CONACyT CB-2015/254697.

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Authors and Affiliations

  1. División de Investigación y Posgrado, Facultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas s/n, C. P. 76010, Santiago de Querétaro, Querétaro, México

    Alejandro Moreno-Gomez, Aurelio Dominguez-Gonzalez & Omar Chavez-Alegria

  2. ENAP-RG, Facultad de Ingeniería, Universidad Autónoma de Querétaro, Río Moctezuma 249, C. P. 76807, San Juan del Río, Querétaro, México

    Carlos A. Perez-Ramirez, Martin Valtierra-Rodriguez & Juan P. Amezquita-Sanchez

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  1. Alejandro Moreno-Gomez
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  2. Carlos A. Perez-Ramirez
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  3. Aurelio Dominguez-Gonzalez
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  4. Martin Valtierra-Rodriguez
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  5. Omar Chavez-Alegria
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  6. Juan P. Amezquita-Sanchez
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Correspondence to Juan P. Amezquita-Sanchez.

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Moreno-Gomez, A., Perez-Ramirez, C.A., Dominguez-Gonzalez, A. et al. Sensors Used in Structural Health Monitoring. Arch Computat Methods Eng 25, 901–918 (2018). https://doi.org/10.1007/s11831-017-9217-4

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