Smart Structures and Systems

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Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation

  • Jang, Shinae (Department of Civil and Environmental Engineering, University of Illinois) ;
  • Jo, Hongki (Department of Civil and Environmental Engineering, University of Illinois) ;
  • Cho, Soojin (Department of Civil and Environmental Engineering, KAIST) ;
  • Mechitov, Kirill (Department of Computer Science, University of Illinois) ;
  • Rice, Jennifer A. (Texas Tech University) ;
  • Sim, Sung-Han (Department of Civil and Environmental Engineering, University of Illinois) ;
  • Jung, Hyung-Jo (Department of Civil and Environmental Engineering, KAIST) ;
  • Yun, Chung-Bangm (Department of Civil and Environmental Engineering, KAIST) ;
  • Spencer, Billie F. Jr. (Department of Civil and Environmental Engineering, University of Illinois) ;
  • Agha, Gul (Department of Computer Science, University of Illinois)
  • Received : 2009.11.13
  • Accepted : 2010.03.04
  • Published : 2010.07.25
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Abstract

Structural health monitoring (SHM) of civil infrastructure using wireless smart sensor networks (WSSNs) has received significant public attention in recent years. The benefits of WSSNs are that they are low-cost, easy to install, and provide effective data management via on-board computation. This paper reports on the deployment and evaluation of a state-of-the-art WSSN on the new Jindo Bridge, a cable-stayed bridge in South Korea with a 344-m main span and two 70-m side spans. The central components of the WSSN deployment are the Imote2 smart sensor platforms, a custom-designed multimetric sensor boards, base stations, and software provided by the Illinois Structural Health Monitoring Project (ISHMP) Services Toolsuite. In total, 70 sensor nodes and two base stations have been deployed to monitor the bridge using an autonomous SHM application with excessive wind and vibration triggering the system to initiate monitoring. Additionally, the performance of the system is evaluated in terms of hardware durability, software stability, power consumption and energy harvesting capabilities. The Jindo Bridge SHM system constitutes the largest deployment of wireless smart sensors for civil infrastructure monitoring to date. This deployment demonstrates the strong potential of WSSNs for monitoring of large scale civil infrastructure.

Keywords

References

  1. Abe, M., Fujino, Y., Yanagihara, M. and Sato, M. (2000), "Monitoring of hakucho suspension bridge by ambient vibration measurement", Proceedings of the Nondestructive Evaluation of Highways, Utilities, and Pipelines IV, Newport Beach, USA, March.
  2. Antenova (2009), Titanis: p/n B4844/B6090, http://www.antenova.com/?id=536.
  3. Celebi, M., Purvis, R., Hartnagel, B., Gupta, S., Clogston, P., Yen, P., O'Connor, J. and Franke, M. (2004), "Seismic instrumentation of the Bill Emerson Memorial Mississippi River Bridge at Cape Girardeau (MO): A cooperative effort", Proceedings of the 4th International Seismic Highway Conference, Memphis, Tenn, USA.
  4. Crossbow Technology (2009), Imote2-High-performance Wireless Sensor Network Node, http://www.xbow.com/ Products/Product_pdf_files/Wireless_pdf/Imote2_Datasheet.pdf.
  5. Crossbow Technology (2007), Imote2 Hardware Reference Manual, Revision A, http://www.xbow.com/Support/ Support_pdf_files/Imote2_Hardware_Reference_Manual.pdf.
  6. Cho, S., Jo, H., Jang, S., Park, J., Jung, H.J., Yun, C.B., Spencer, Jr., B.F. and Seo, J. (2010), "Structural health monitoring of a cable-stayed bridge using smart sensor technology: data analysis", Smart Struct. Syst., 6(5-6), 461-480. https://doi.org/10.12989/sss.2010.6.5_6.461
  7. Doebling, S.W., Farrar, C.R. and Cornwell, P. (1997), "A statistical comparison of impact and ambient testing results from the alamosa canyon bridge", Proceedings of the 15th International Modal Analysis Conference.
  8. FHWA (2009), Deficient Bridges by State and Highway System, http://www.fhwa.dot.gov/bridge/nbi/defbr09.cfm
  9. Jang, S., Rice, J.A., Li, J., Jo, H., Spencer, Jr., B.F. and Wang, Z. (2009), "Structural monitoring of a historic truss bridge using a wireless sensor network", Proceedings of the Asia-Pacific Workshop on Structural Health Monitoring.
  10. Kim, S., Pakzad, S., Culler, D.E., Demmel, D., Fenves, G., Glaser, S. and Turon, M. (2007), "Health monitoring of civil infrastructures using wireless sensor networks", Proceedings of the 6th International Conference on Information Processing in Sensor Networks.
  11. Linderman, L.E., Rice, J.A., Barot, S., Spencer, Jr., B.F. and Bernhard, J.T. (2010), Characterization of Wireless Smart Sensor Performance, Newmark Civil Engineering Laboratory Report 21, http://hdl.handle.net/2142/15101.
  12. Lynch, J.P., Wang, Y., Loh, K.J., Yi, J.H. and Yun, C.B. (2006), "Performance monitoring of the geumdang bridge using a dense network of high-resolution wireless sensors", Smart Mater. Struct., 15, 1561-1575. https://doi.org/10.1088/0964-1726/15/6/008
  13. Mechitov, K., Kim, W., Agha, G. and Nagayama, T. (2004), "High-frequency distributed sensing for structure monitoring", Proceedings of the First International Workshop on Networked Sensing Systems, Tokyo, Japan.
  14. MEMSIC Inc. (2010), ITS400, Imote2 Basic Sensor Board, http://www.xbow.com/Products/Product_pdf_files/ Wireless_pdf/ITS400_Datasheet.pdf.
  15. Miller, T. and Spencer, Jr., B.F. (2009), Solar energy harvesting and software enhancements for autonomous wireless smart sensor networks, NSEL Report Series, University of Illinois at Urbana-Champaign.
  16. Nagayama, T. and Spencer, Jr., B.F. (2007), Structural Health Monitoring using Smart Sensors, Newmark Structural Engineering Laboratory Report Series 001, http://hdl.handle.net/2142/3521.
  17. Pakzad, S. (2008), Statistical Approach to Structural Monitoring Using Scalable Wireless Sensor Networks, Ph.D. Dissertation, University of California, Berkeley.
  18. Powerizer (2009), Polymer Li-Ion Module: 3.7 V 10000mAh (37Wh, 5.0A rate) - Prewired with PCB (PL9059156), UN Approved (3.0), http://www.batteryspace.com/polymerli-ionmodule37v10000mah37wh85arateprewiredwithpcbpl9059156. aspx.
  19. Rice, J.A., Mechitov, K.A., Spencer, Jr., B.F. and Agha, G. (2008), "A service-oriented architecture for structural health monitoring using smart sensors", Proceedings of the 14th World Conference on Earthquake Engineering, Beijing, China.
  20. Rice, J.A. and Spencer, Jr., B.F. (2009), Flexible Smart Sensor Framework for Autonomous Full-scale Structural Health Monitoring, Newmark Structural Engineering Laboratory Report Series 018, http://hdl.handle.net/2142/ 13635.
  21. Rice, J.A., Mechitov, K., Sim, S.H., Nagayama, T., Jang, S., Kim, R., Spencer, Jr., B.F., Agha, G. and Fujino, Y. (2010), "Flexible smart sensor framework for autonomous structural health monitoring", Smart Struct. Syst., 6(5-6), 423-438. https://doi.org/10.12989/sss.2010.6.5_6.423
  22. Roundy, S., Wright, P.K. and Rabaey, J.M. (2004), Energy Scavenging for Wireless Sensor Networks, Kluwer Academic Publishers.
  23. Sim, S.H. and Spencer, Jr., B.F. (2009), Decentralized Strategies for Monitoring Structures using Smart Sensor Networks, Newmark Structural Engineering Laboratory Report Series 019, http://hdl.handle.net/2142/14280.
  24. Spencer, Jr., B.F. and Nagayama, T. (2006), "Smart sensor technology: a new paradigm for structural health monitoring", Proceedings of the Asia-Pacific Workshop on Structural Health Monitoring, keynote lecture, Yokohama, Japan.
  25. Todd, M., Johnson, G., Vohra, S., Chen-Chang, C., Danver, B. and Malsawma, L. (1999), "Civil infrastructure monitoring with fiber Bragg grating sensor arrays", Proceedings of the 2nd International Workshop on Structural Health Monitoring.
  26. Wong, K.Y. (2004), "Instrumentation and health monitoring of cable-supported bridges", Struct. Control Health Monit., 11(2), 91-124. https://doi.org/10.1002/stc.33

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  114. A New Optimal Sensor Placement Strategy Based on Modified Modal Assurance Criterion and Improved Adaptive Genetic Algorithm for Structural Health Monitoring vol.2015, 2015, https://doi.org/10.1155/2015/626342
  115. SenStore: A Scalable Cyberinfrastructure Platform for Implementation of Data-to-Decision Frameworks for Infrastructure Health Management vol.30, pp.5, 2016, https://doi.org/10.1061/(ASCE)CP.1943-5487.0000560
  116. Identification of time-varying cable tension forces based on adaptive sparse time-frequency analysis of cable vibrations vol.24, pp.3, 2017, https://doi.org/10.1002/stc.1889
  117. The experimental validation of a new energy harvesting system based on the wake galloping phenomenon vol.20, pp.5, 2011, https://doi.org/10.1088/0964-1726/20/5/055022
  118. Piezoelectric dynamic strain monitoring for detecting local seismic damage in steel buildings vol.22, pp.11, 2013, https://doi.org/10.1088/0964-1726/22/11/115002
  119. A Test Method for Damage Diagnosis of Suspension Bridge Suspender Cables vol.30, pp.10, 2015, https://doi.org/10.1111/mice.12144
  120. Investigation of inductively coupled ultrasonic transducer system for NDE vol.60, pp.6, 2013, https://doi.org/10.1109/TUFFC.2013.2674
  121. Rapid full-scale expansion joint monitoring using wireless hybrid sensor vol.12, pp.3_4, 2013, https://doi.org/10.12989/sss.2013.12.3_4.415
  122. Compressive sensing of wireless sensors based on group sparse optimization for structural health monitoring 2018, https://doi.org/10.1177/1475921717721457
  123. Design and analysis of vibration energy harvesters based on peak response statistics vol.25, pp.6, 2016, https://doi.org/10.1088/0964-1726/25/6/065009
  124. Comparative study of performance of neutral axis tracking based damage detection vol.628, 2015, https://doi.org/10.1088/1742-6596/628/1/012017
  125. TinyOS-based real-time wireless data acquisition framework for structural health monitoring and control vol.20, pp.6, 2013, https://doi.org/10.1002/stc.1514
  126. Middleware and communication technologies for structural health monitoring of critical infrastructures: A survey vol.56, 2018, https://doi.org/10.1016/j.csi.2017.09.007
  127. Statistics based localized damage detection using vibration response vol.14, pp.2, 2014, https://doi.org/10.12989/sss.2014.14.2.085
  128. Sensor Attitude Correction of Wireless Sensor Network for Acceleration-Based Monitoring of Civil Structures vol.30, pp.11, 2015, https://doi.org/10.1111/mice.12147
  129. Recent advances in wireless smart sensors for multi-scale monitoring and control of civil infrastructure vol.6, pp.1, 2016, https://doi.org/10.1007/s13349-015-0111-1
  130. SHM of a stayed bridge during a structural failure, case study: the Rio Papaloapan Bridge vol.7, pp.2, 2017, https://doi.org/10.1007/s13349-017-0221-z
  131. Efficiency of piezoelectric mechanical vibration energy harvesting vol.24, pp.5, 2015, https://doi.org/10.1088/0964-1726/24/5/055006
  132. Experimental Evaluation of Vibration Response Based Bridge Damage Detection Using Wireless Sensor Networks vol.85, pp.2, 2015, https://doi.org/10.1007/s11277-015-2751-1
  133. Bridge continuous deformation measurement technology based on fiber optic gyro vol.6, pp.1, 2016, https://doi.org/10.1007/s13320-015-0276-6
  134. Next Generation Wireless Smart Sensors Toward Sustainable Civil Infrastructure vol.171, 2017, https://doi.org/10.1016/j.proeng.2017.01.304
  135. Control Method Stretches Suspensions by Measuring the Sag of Strands in Cable-Stayed Bridges vol.245, 2017, https://doi.org/10.1088/1757-899X/245/2/022037
  136. Measuring and modelling the thermal performance of the Tamar Suspension Bridge using a wireless sensor network vol.11, pp.2, 2015, https://doi.org/10.1080/15732479.2013.862727
  137. The Nonuniform Node Configuration of Wireless Sensor Networks for Long-Span Bridge Health Monitoring vol.9, pp.9, 2013, https://doi.org/10.1155/2013/797650
  138. Railroad bridge monitoring using wireless smart sensors vol.24, pp.2, 2017, https://doi.org/10.1002/stc.1863
  139. Stay cable tension estimation using a vision-based monitoring system under various weather conditions vol.7, pp.3, 2017, https://doi.org/10.1007/s13349-017-0226-7
  140. Decentralized random decrement technique for efficient data aggregation and system identification in wireless smart sensor networks vol.26, pp.1, 2011, https://doi.org/10.1016/j.probengmech.2010.07.002
  141. A Combined Optimal Sensor Placement Strategy for the Structural Health Monitoring of Bridge Structures vol.9, pp.11, 2013, https://doi.org/10.1155/2013/820694
  142. Enhanced Strain Measurement Range of an FBG Sensor Embedded in Seven-Wire Steel Strands vol.17, pp.7, 2017, https://doi.org/10.3390/s17071654
  143. Wireless structural health monitoring of stay cables under two consecutive typhoons vol.1, pp.1, 2014, https://doi.org/10.12989/smm.2014.1.1.047
  144. Experimental Verification of Decentralized Approach for Modal Identification Based on Wireless Smart Sensor Network vol.291-294, pp.1662-8985, 2011, https://doi.org/10.4028/www.scientific.net/AMR.291-294.3
  145. Development of wireless sensor node hardware for large-area capacitive strain monitoring vol.28, pp.1, 2018, https://doi.org/10.1088/1361-665X/aaebc6
  146. Field measurement system based on a wireless sensor network for the wind load on spatial structures: Design, experimental, and field validation vol.25, pp.9, 2018, https://doi.org/10.1002/stc.2192
  147. Bayesian network-based modal frequency–multiple environmental factors pattern recognition for the Xinguang Bridge using long-term monitoring data pp.2048-4046, 2018, https://doi.org/10.1177/1461348418786520
  148. Dynamic Property Evaluation of a Long-Span Cable-Stayed Bridge (Sutong Bridge) by a Bayesian Method pp.1793-6764, 2018, https://doi.org/10.1142/S0219455419400108
  149. Energy-Harvesting Wireless Sensor Networks (EH-WSNs) vol.14, pp.2, 2018, https://doi.org/10.1145/3183338
  150. Applying ZigBee wireless sensor and control network for bridge safety monitoring vol.10, pp.7, 2018, https://doi.org/10.1177/1687814018787398
  151. Development of a tunable low-frequency vibration energy harvester and its application to a self-contained wireless fatigue crack detection sensor pp.1741-3168, 2018, https://doi.org/10.1177/1475921718786886
  152. Development of a Wireless Unified-Maintenance System for the Structural Health Monitoring of Civil Structures vol.18, pp.5, 2018, https://doi.org/10.3390/s18051485
  153. Wind characteristics and responses of Xihoumen Bridge during typhoons based on field monitoring vol.9, pp.1, 2019, https://doi.org/10.1007/s13349-019-00325-y
  154. Bio-inspired sensing and actuating architectures for feedback control of civil structures vol.14, pp.3, 2019, https://doi.org/10.1088/1748-3190/ab033b
  155. Flexible smart sensor framework for autonomous structural health monitoring vol.6, pp.5, 2010, https://doi.org/10.12989/sss.2010.6.5_6.423
  156. Structural health monitoring of a cable-stayed bridge using wireless smart sensor technology: data analyses vol.6, pp.5, 2010, https://doi.org/10.12989/sss.2010.6.5_6.461
  157. Reliable multi-hop communication for structural health monitoring vol.6, pp.5, 2010, https://doi.org/10.12989/sss.2010.6.5_6.481
  158. A multi-functional cable-damper system for vibration mitigation, tension estimation and energy harvesting vol.7, pp.5, 2010, https://doi.org/10.12989/sss.2011.7.5.379
  159. Novel sensing techniques for full-scale testing of civil structures vol.6, pp.3, 2010, https://doi.org/10.1007/s11709-012-0172-8
  160. A versatile software architecture for civil structure monitoring with wireless sensor networks vol.10, pp.3, 2010, https://doi.org/10.12989/sss.2012.10.3.209
  161. WiSeMote: a novel high fidelity wireless sensor network for structural health monitoring vol.10, pp.3, 2010, https://doi.org/10.12989/sss.2012.10.3.271
  162. Vibration-based damage monitoring of harbor caisson structure with damaged foundation-structure interface vol.10, pp.6, 2010, https://doi.org/10.12989/sss.2012.10.6.517
  163. Solar-powered multi-scale sensor node on Imote2 platform for hybrid SHM in cable-stayed bridge vol.9, pp.2, 2010, https://doi.org/10.12989/sss.2012.9.2.145
  164. Sensor Placement with Multiple Objectives for Structural Health Monitoring vol.10, pp.4, 2014, https://doi.org/10.1145/2533669
  165. Electromagnetic Vibration Energy Harvester: Wideband Generation via Nonlinear Oscillation vol.22, pp.3, 2010, https://doi.org/10.14243/jsaem.22.374
  166. Remote inspection system for impact damage in large composite structure vol.471, pp.2173, 2015, https://doi.org/10.1098/rspa.2014.0631
  167. Materials that couple sensing, actuation, computation, and communication vol.347, pp.6228, 2015, https://doi.org/10.1126/science.1261689
  168. Autonomous evaluation of ambient vibration of underground spaces induced by adjacent subway trains using high-sensitivity wireless smart sensors vol.19, pp.1, 2017, https://doi.org/10.12989/sss.2017.19.1.001
  169. A Feasibility Study of Noncontact Ultrasonic Sensor for Nuclear Power Plant Inspection vol.3, pp.2, 2010, https://doi.org/10.1115/1.4035466
  170. Quasi-static Responses Estimation of a Cable-stayed Bridge from Displacement Data at a Limited Number of Points vol.17, pp.2, 2010, https://doi.org/10.1007/s13296-017-6032-6
  171. Dynamic torsional response measurement model using motion capture system vol.19, pp.6, 2017, https://doi.org/10.12989/sss.2017.19.6.679
  172. Construction of Reflection Wavelength Measurement System of Fiber Bragg Gratings Using Database vol.53, pp.8, 2010, https://doi.org/10.9746/sicetr.53.473
  173. Structural health monitoring of a newly built high-piled wharf in a harbor with fiber Bragg grating sensor technology: design and deployment vol.20, pp.2, 2017, https://doi.org/10.12989/sss.2017.20.2.163
  174. Review—Power Sources for the Internet of Things vol.165, pp.8, 2010, https://doi.org/10.1149/2.0181808jes
  175. Structural Displacement Measurement Using an Unmanned Aerial System vol.33, pp.3, 2018, https://doi.org/10.1111/mice.12338
  176. An integrated structural health monitoring system for the Xijiang high-speed railway arch bridge vol.21, pp.5, 2010, https://doi.org/10.12989/sss.2018.21.5.611
  177. Sudden Event Monitoring of Civil Infrastructure Using Demand-Based Wireless Smart Sensors vol.18, pp.12, 2010, https://doi.org/10.3390/s18124480
  178. Wireless Sensor Network-Based Structural Health Monitoring of Bridges Using Advanced Signal Processing Techniques vol.49, pp.2, 2019, https://doi.org/10.1520/jte20180849
  179. CNN-based damage identification method of tied-arch bridge using spatial-spectral information vol.23, pp.5, 2019, https://doi.org/10.12989/sss.2019.23.5.507
  180. Acceleration Signal Categorization Using Support Vector Machines vol.43, pp.3, 2019, https://doi.org/10.1007/s40799-019-00318-y
  181. Vision-Based Modal Survey of Civil Infrastructure Using Unmanned Aerial Vehicles vol.145, pp.7, 2019, https://doi.org/10.1061/(asce)st.1943-541x.0002321
  182. An EKF-Based Method and Experimental Study for Small Leakage Detection and Location in Natural Gas Pipelines vol.9, pp.15, 2010, https://doi.org/10.3390/app9153193
  183. Displacement monitoring method based on laser projection to eliminate the effect of rotation angle vol.22, pp.15, 2010, https://doi.org/10.1177/1369433219858724
  184. Development of Intelligent Prefabs Using IoT Technology to Improve the Performance of Prefabricated Construction Projects vol.19, pp.19, 2010, https://doi.org/10.3390/s19194131
  185. A review on deep learning-based structural health monitoring of civil infrastructures vol.24, pp.5, 2010, https://doi.org/10.12989/sss.2019.24.5.567
  186. Real-time Pedestrian Dynamic-load Localization using Vision-based Motion Sensing vol.19, pp.7, 2010, https://doi.org/10.9798/kosham.2019.19.7.323
  187. Development of a Structural Monitoring System for Cable Bridges by Using Seismic Accelerometers vol.10, pp.2, 2020, https://doi.org/10.3390/app10020716
  188. Probabilistic Modelling for Unsupervised Analysis of Human Behaviour in Smart Cities vol.20, pp.3, 2010, https://doi.org/10.3390/s20030784
  189. 효율적인 SHM을 위한 압축센싱 기술 - Kobe 지진파형을 이용한 CAFB의 최적화 및 지진응답실험 중심으로 vol.24, pp.2, 2020, https://doi.org/10.11112/jksmi.2020.24.2.23
  190. El-centro 지진파형을 이용한 CAFB의 최적화 및 교량 지진응답실험에 관한 연구 vol.24, pp.2, 2020, https://doi.org/10.5000/eesk.2020.24.2.067
  191. Towards rapid and robust measurements of highway structures deformation using a wireless sensing system derived from wired sensors vol.10, pp.2, 2010, https://doi.org/10.1007/s13349-020-00385-5
  192. Collaborative duty cycling strategies in energy harvesting sensor networks vol.35, pp.6, 2010, https://doi.org/10.1111/mice.12522
  193. Computational methodologies for optimal sensor placement in structural health monitoring: A review vol.19, pp.4, 2010, https://doi.org/10.1177/1475921719877579
  194. Development of Synchronized High-Sensitivity Wireless Accelerometer for Structural Health Monitoring vol.20, pp.15, 2010, https://doi.org/10.3390/s20154169
  195. Autonomous main-cable vibration monitoring using wireless smart sensors for large-scale three-pylon suspension bridges: A case study vol.39, pp.3, 2020, https://doi.org/10.1177/1461348418813760
  196. Inspection of surface defects on stay cables using a robot and transfer learning vol.119, pp.None, 2010, https://doi.org/10.1016/j.autcon.2020.103382
  197. Autonomous end-to-end wireless monitoring system for railroad bridges vol.1, pp.1, 2010, https://doi.org/10.1186/s43251-020-00014-7
  198. A Critical Review on the Voltage Requirement in Hybrid Cells with Solar Energy Harvesting and Energy Storage Capability vol.4, pp.2, 2010, https://doi.org/10.1002/batt.202000223
  199. SSVM: An Ultra-Low-Power Strain Sensing and Visualization Module for Long-Term Structural Health Monitoring vol.21, pp.6, 2010, https://doi.org/10.3390/s21062211
  200. Dual Resonator-Type Electromagnetic Energy Harvester for Structural Health Monitoring of Bridges vol.26, pp.5, 2010, https://doi.org/10.1061/(asce)be.1943-5592.0001702
  201. Structural health monitoring of bridge spans using Moment Cumulative Functions of Power Spectral Density (MCF-PSD) and deep learning vol.17, pp.1, 2010, https://doi.org/10.3233/brs-210183
  202. Data‐driven modeling of bridge buffeting in the time domain using long short‐term memory network based on structural health monitoring vol.28, pp.8, 2010, https://doi.org/10.1002/stc.2772
  203. Development and Implementation of a Laser-Camera-UAV System to Measure Total Dynamic Transverse Displacement vol.147, pp.8, 2010, https://doi.org/10.1061/(asce)em.1943-7889.0001939
  204. Brillouin-zone characterization of piezoelectric material intrinsic energy-harvesting availability vol.30, pp.8, 2021, https://doi.org/10.1088/1361-665x/ac0c2c
  205. Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges-A Review vol.4, pp.3, 2010, https://doi.org/10.3390/vibration4030033
  206. Development of Low-Cost Wireless Sensing System for Smart Ultra-High Performance Concrete vol.21, pp.19, 2010, https://doi.org/10.3390/s21196386
  207. Special Issue on “Smart City and Smart Infrastructure” vol.21, pp.21, 2010, https://doi.org/10.3390/s21217064
  208. Critical review of data-driven decision-making in bridge operation and maintenance vol.18, pp.1, 2010, https://doi.org/10.1080/15732479.2020.1833946
  209. Experimental investigation on energy harvesting performance of regenerative hybrid electrodynamic damper vol.334, pp.None, 2010, https://doi.org/10.1016/j.sna.2021.113317