On-site validation of fiber-optic methods for structural health monitoring: Streicker Bridge

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• 作者：D. H. Sigurdardottir ; B. Glisic
• 关键词：Long ; term structural health monitoring (SHM) ; Level IV SHM ; Damage detection and characterization ; Structural identification ; Post ; tensioned concrete pedestrian bridge ; Fiber ; optic methods ; Long ; gauge fiber Bragg ; grating (FBG) sensors ; Brillouin scattering distributed sensors
• 刊名：Journal of Civil Structural Health Monitoring
• 出版年：2015
• 出版时间：September 2015
• 年：2015
• 卷：5
• 期：4
• 页码：529-549
• 全文大小：2,443 KB
• 参考文献：1.Rytter A (1993) Vibrational based inspection of civil engineering structures. Ph.D. Thesis, University of Aalborg
  2.Feng MQ, Kim DK, Li-Hong S, Fiji LM, Kim YJ (2001) Instrumentation of bridges for long term performance monitoring. In: Proceedings of SPIE, vol. 4337, pp 139鈥?46
  3.Adewuyi AP, Wu Z, Serker NHMK (2009) Assessment of vibration-based damage identification methods using displacement and distributed strain measurements. J Struct Health Monit 8(6):443鈥?61CrossRef
  4.Brownjohn JMW, de Stefano A, Xu YL, Wenzel H, Aktan AE (2011) Vibration-based monitoring of civil infrastructure: challenges and successes. J Civ Struct Health Monit 1(3鈥?):79鈥?5CrossRef
  5.Idriss RL, Kodindouma MB (1996) Bridge monitoring using an optical fiber sensor system. Building an international community of structural engineers. In: Proceedings of Structures Congress XIV, vol 1, pp 238鈥?44
  6.Inaudi D (2010) Long-term static structural health monitoring. Structures Congress, pp 566鈥?77
  7.Wenzel H (2009) Health monitoring of bridges. Wiley. The Southern Gate, Chichester, West Sussex, PO198SQ, United Kingdom
  8.Andersen JE, Fustinoni M (2006) Structural Health Monitoring Systems. COWI A/S and Futurrec OY, Kongens Lyngby
  9.Ansari F (2005) Sensing issues in civil structural health monitoring. Springer, DordrechtCrossRef
  10.Proceedings of the 6th International conference on structural health monitoring of intelligent infrastructure (SHMII-6), Hong Kong, China, December 2010, CD
  11.Proceedings of the 9th International Workshop on Structural Health Monitoring (IWSHM 2013), Stanford University, USA, September 2013, CD
  12.Proceedings of 6th International conference on bridge maintenance, safety, and management 2012 (IABMAS 2012). Stresa, Lake Maggiore, Italy, July 2012, CD
  13.Glisic B, Adriaenssens S (2010) Streicker bridge: initial evaluation of life-cycle cost benefits of various structural health monitoring approaches. Bridge maintenance, safety, management and life-cycle optimization. In: Proceedings of the 5th International Conference on bridge maintenance, safety and management, pp 2112鈥?118
  14.Glisic B, Chen J, Hubbell D (2011) Streicker Bridge: a comparison between Bragg-grating long gauge strain and temperature sensors and Brillouin scattering-based distributed strain and temperature sensors. In: Proceedings of SPIE鈥擳he International Society for Optical Engineering 7981, art. no. 79812C
  15.Zonta D, Glisic B, Adriaenssens S (2011) Streicker bridge: The impact of monitoring on decision making. Structural health monitoring 2011: condition-based maintenance and intelligent structures. In: Proceedings of the 8th International Workshop on Structural Health Monitoring 2, pp 1847鈥?854
  16.Sigurdardottir D, Afonso J, Hubbell D, Glisic B (2012) Streicker Bridge: a two-year monitoring overview. In: IABMAS 6th International Conference on Bridge Maintenance, Safety, and Management. Stresa, Lake Maggiore, July 2012, CD
  17.Liew K (2010) Bridging art and engineering: structural art and performance analysis of the Streicker Bridge. Senior Thesis, Princeton University
  18.Chen J (2011) The Streicker Bridge: a comparative analysis of fiber optic sensing technologies. Senior Thesis, Princeton University
  19.Park P (2012) The Streicker Bridge: continued analysis of structural behavior using fiber bragg-grating fiber optic sensors. Senior Thesis, Princeton University
  20.Ditchfield J (2013) Monitoring temperature effects in Streicker Bridge using fiber optic sensors. Senior Thesis, Princeton University
  21.Afonso JPS (2011) Streicker Pedestrian Bridge on Princeton University Campus. Verification of the structural behavior using results from monitoring. MSE Thesis, Swiss Federal Institution of Technology, Lausanne (EPFL)
  22.Hubbell D (2011) Determining the structural behavior of Streicker Bridge using fiber optic sensors. MSE Thesis, Princeton University
  23.Sigurdardottir D (2012) Structural identification based on strain monitoring. MSE Thesis, Princeton University
  24.NJDOT specification (2007) Standard specification for road and bridge construction, division 900 Materials. http://鈥媤ww.鈥媠tate.鈥媙j.鈥媢s/鈥媡ransportation/鈥媏ng/鈥媠pecs/鈥?007/鈥?/span> spec900.shtm#s903. Accessed 14 May 2011
  25.Measures R (2001) Structural monitoring with fiber optic technology. Academic Publishers, London, p 717
  26.Udd E (2006) Fiber optic sensors: an introduction for engineers and scientists, 1st edn. Wiley, New York
  27.Nikles M, Th茅venaz L, Robert PA (1997) Brillouin gain spectrum characterization in single-mode optical fibers. J Lightwave Technol 15(10):1842鈥?851CrossRef
  28.Ansari F (2007) Practical implementation of optical fiber sensors in civil structural health monitoring. J Intell Mater Syst Struct 18(8):879鈥?89CrossRef
  29.Glisic B, Inaudi D (2007) Fibre optic methods for structural health monitoring. Wiley, ChichesterCrossRef
  30.Widow AL (1992) Strain gauge technology, 2nd edn. Elsevier science Publishers Ltd, London
  31.Vurpillot S, Krueger G, Benouaich D, Clement D, Inaudi D (1998) Vertical deflection of a pre-stressed concrete bridge obtained using deformation sensors and inclinometer measurements. ACI Struct J 95(5):518鈥?26
  32.Idriss R, Liang Z (2007) Monitoring of an interstate highway bridge from construction thru service with a built-in fiber optic sensor system. In: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems. Proceedings of SPIE vol 6529. doi: 10.鈥?117/鈥?2.鈥?15666
  33.Li S, Wu Z (2010) Parametric estimation for RC flexural members based on distributed long gauge fiber optic sensors. J Struct Eng 136(2):144鈥?51CrossRef
  34.Glisic B (2011) Influence of the gauge length on the accuracy of long-gauge sensors employed in monitoring of prismatic beams. Meas Sci Technol 22(3):035206CrossRef
  35.Glisic B, Yao Y (2012) Fiber optic method for health assessment of pipelines subjected to earthquake-induced ground movement. Struct Health Monit 11(6):696鈥?11CrossRef
  36.Glisic B, Inaudi D (2011) Development of method for in-service crack detection based on distributed fiber optic sensors. Struct Health Monit 11(2):161鈥?71CrossRef
  37.NOAA, National Climatic Data Center (2013) Quality controlled local climatological data (QCLCD). Hourly observations at Trenton Mercer Airport (14792). http://鈥媤ww.鈥媙cdc.鈥媙oaa.鈥媑ov/鈥媗and-based-station-data/鈥媞uality-controlled-local-climatological-data-qclcd . Accessed 4 June 2013
  38.Barr PJ, Stanton JF, Eberhard MO (2005) Effects of temperature variations on precast, prestressed concrete bridge girders. J Bridge Eng 10(2):186鈥?94CrossRef
  39.Viviani M, Glisic B, Smith IFC (2007) Separation of thermal and autogenous deformation at varying temperatures using optical fiber sensors. Cement Concr Compos 29(6):435鈥?47CrossRef
  40.Calder贸n PA, Glisic B (2012) Influence of mechanical and geometrical properties of embedded long-gauge strain sensors on the accuracy of strain measurement. Meas Sci Technol 23(6):065604CrossRef
  41.Hubbell D, Glisic B (2013) Detection and characterization of early age thermal cracks in high performance concrete. ACI Mater J 110(3):323鈥?30
  42.Abdel-Jaber H, Glisic B (2015) Analysis of the status of pre-release cracks in prestressed concrete structures using long-gauge sensors. Smart Mater Struct 24:025038CrossRef
  43.Abdel-Jaber H, Glisic B (2014) A method for on-site determination of prestressing forces using long-gauge fiber optic strain sensors. Smart Mater Struct 23(7):075004CrossRef
  44.Comite Euro-International Du Beton (1998) CEB-FIP model code 1990, design code. EPF Lausanne, Lausanne
  45.Glisic B, Inaudi D, Lau JM, Fong CC (2013) Ten-year monitoring of high-rise building columns using long-gauge fiber optic sensors. Smart Mater Struct 22(5):055030CrossRef
  46.Bazant ZP, Yu Q, Hubler M, Kristek V, Bittnar Z (2011) Wake-up call for creep, myth about size effect and black holes in safety: what to improve in FIB model code draft. In: fib Symposium, pp 731鈥?6
  47.CEN: European Committee for Standardization (2004) Design of concrete structures鈥擯art1-1: General rules and rules for buildings. Eurocode 2, European Standard. EN 1992-1-1. Brussels, Belgium
  48.ACI (2008) Building code requirements for structural concrete (ACI 318-08) and commentary an ACI standard. American Concrete Institute, Farmington Hills
  49.Aktan AE, Grimmelsman KA, Barrish RA, Catbas FN, Tsikos CJ (2007) Structural identification of a long-span truss bridge. Transp Res Rec 1696:210鈥?18CrossRef
  50.Soyoz S, Feng MQ (2009) Long-term monitoring and identification of bridge structural parameters. Comput Aided Civ Infrastruct Eng 24(2):82鈥?2CrossRef
  51.Ljung L (1987) system identification: theory for the user. Prentice Hall, Englewood CliffsMATH
  52.CSI Berkeley (2007) SAP2000, CSI Analysis reference manual for SAP2000
  53.Li S, Wu Z (2008) A model-free method for damage locating and quantifying in a beam like structure based on dynamic distributed strain measurements. Comput Aided Civ Infrastruct Eng 23(5):404鈥?13CrossRef
  54.Adewuyi AP, Wu Z (2011) Vibration-based damage localization in flexural structures using normalized modal macrostrain techniques from limited measurements. Comput Aided Civ Infrastruct Eng 26(3):154鈥?72CrossRef
  55.Sigurdardottir D, Glisic B (2013) Neutral axis as damage sensitive feature. Smart Mater Struct 22(7):075030CrossRef
  56.Nilson AH (1987) Design of prestressed concrete. Wiley, Singapore
  
• 作者单位：D. H. Sigurdardottir (1)
  B. Glisic (1)
  
  1. Department of Civil and Environmental Engineering, Princeton University, E-Quad, Olden Street, Princeton, NJ, 08544, USA
  
• 刊物主题：Civil Engineering; Measurement Science and Instrumentation; Vibration, Dynamical Systems, Control;
• 出版者：Springer Berlin Heidelberg
• ISSN：2190-5479

文摘

Structural health monitoring (SHM) has potential to facilitate understanding of real structural behavior and provide important information for assessment of structural safety. In spite of its importance and its promising benefits, SHM is scarcely used on real structures. An efficient approach for implementation of SHM has not been developed yet, which is in part due to the current inefficient fragmented approach to SHM in research activities, in practical applications, and in education. To address this challenge, a holistic approach is taken in creation of novel fiber-optic methods for strain-based SHM, with an overall objective to achieve Level IV SHM. The methods are researched, applied, and (to the extent of feasible) validated through implementation on Streicker Bridge at the Princeton University Campus. While the presented research consists of several components, they are all mutually connected by the holistic approach and the ultimate objective. Thus, this paper presents for the first time the holistically researched methods and their validation in on-site conditions. The methods are first generally presented and then their implementation is illustrated through the application to Streicker Bridge, including design of sensor networks, algorithms for data analysis, and rich information on structural conditions provided by the SHM. Two fiber-optic methods are currently applied to the bridge: a global structural monitoring method based on discrete fiber Bragg-grating long-gauge strain and temperature sensors and an integrity monitoring method based on Brillouin-scattering distributed sensors. The results include early age and long-term strain evolution, damage detection, and characterization, including thermally induced cracks and evaluation of reduced joint stiffness, structural identification, evaluation of the effectiveness of complex cross sections through the determination of the location of the centroid of stiffness, discussion of bending, shear, and torsional cross-sectional stiffness, and determination of natural frequencies. This research demonstrates that the proposed methods can be used reliably in on-site conditions to achieve Level IV monitoring. The presented fiber-optic methods can be applied universally to a wide range of beam structures, and the results presented emphasize their effectiveness. Keywords Long-term structural health monitoring (SHM) Level IV SHM Damage detection and characterization Structural identification Post-tensioned concrete pedestrian bridge Fiber-optic methods Long-gauge fiber Bragg-grating (FBG) sensors Brillouin scattering distributed sensors