A Comprehensive Review and Analysis of Nanosensors for Structural Health Monitoring in Bridge Maintenance: Innovations, Challenges, and Future Perspectives
Source abstract
Abstract
This paper presents a thorough review and detailed analysis of nanosensors for structural health monitoring (SHM) in the context of bridge maintenance. With rapid advancements in nanotechnology, nanosensors have emerged as promising tools for detecting and assessing the structural integrity of bridges. The objective of this review is to provide a comprehensive understanding of the various types of nanosensors utilized in bridge maintenance, their operating principles, fabrication techniques, and integration strategies. Furthermore, this paper explores the challenges associated with nanosensor deployment, such as signal processing, power supply, and data interpretation. Finally, the review concludes with an outlook on future developments in the field of nanosensors for SHM in bridge maintenance.
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Research context
OpenAlex topics: Smart Materials for Construction · Concrete Corrosion and Durability · Non-Destructive Testing Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Civil Engineering, Southeast University, Nanjing 211189, China
Department of Engineering Sciences, University of Agder, Jon Lilletuns vei 9, 4879 Grimstad, Norway
School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK
China Design Digital Technology, Shanghai 200000, China
References (100+)
Show source-provided references
1. Bridge inspection practices and bridge management programs in China, Japan, Korea, and U.S
2. Temperature and moisture monitoring in concrete structures using embedded nanotechnology/microelectromechanical systems (MEMS) sensors10.1016/j.conbuildmat.2006.05.047 ↗
3. Technology developments in structural health monitoring of large-scale bridges10.1016/j.engstruct.2005.02.021 ↗
4. Defining a conceptual framework for the integration of modelling and advanced imaging for improving the reliability and efficiency of bridge assessments10.1007/s13349-016-0191-6 ↗
5. Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm10.1016/j.rser.2016.05.085 ↗
6. Exploring the potential of nanosensors: A brief overview10.1016/j.sintl.2021.100130 ↗
7. Sensing analysis based on fano resonance in arch bridge structure10.1088/2399-6528/aae22e ↗
8. Li, J. (September, January 30). Nano Sensors and Devices for Space and Terrestrial Applications. Proceedings of the Space 2005, Long Beach, CA, USA.10.2514/6.2005-6693 ↗
9. Review on carbon-derived, solid-state, micro and nano sensors for electrochemical sensing applications10.1016/j.diamond.2009.09.008 ↗
10. Rizzo, P., and Enshaeian, A. (2021). Challenges in Bridge Health Monitoring: A Review. Sensors, 21.10.3390/s21134336 ↗
11. Structural Health Monitoring of Bridges Using Wireless Sensor Networks10.1109/MIM.2010.5669608 ↗
12. Real-time analysis and interpretation of continuous data from structural health monitoring (SHM) systems10.1007/s10518-014-9642-9 ↗
13. On-site validation of fiber-optic methods for structural health monitoring: Streicker Bridge10.1007/s13349-015-0123-x ↗
14. Drissi-Habti, M., Betti, R., and Yanev, B. (2023, May 27). Structural Health Monitoring of Bridge Cables. ASNT NDT Library. Available online: https://ndtlibrary.asnt.org/2009/StructuralHealthMonitoringofBridgeCables.
15. Farhoud, M. (2023, May 27). The Use of Nanosensors for Monitoring Civil Structures. Available online: https://pearl.plymouth.ac.uk/handle/10026.1/14186.
16. Ye, L., Feng, P., and Yue, Q. (2011). Advances in FRP Composites in Civil Engineering, Springer.10.1007/978-3-642-17487-2 ↗
17. Sobolev, K., and Shah, S.P. (2015). Nanotechnology in Construction, Springer International Publishing.10.1007/978-3-319-17088-6 ↗
18. Nanoscale Science and Technology: Building a Big Future from Small Things10.1557/mrs2003.144 ↗
19. Tang, R., Shi, Y., Hou, Z., and Wei, L. (2017). Carbon Nanotube-Based Chemiresistive Sensors. Sensors, 17.10.3390/s17040882 ↗
20. Airflow-assisted dielectrophoresis to reduce the resistance mismatch in carbon nanotube-based temperature sensors10.1039/D1RA08250G ↗
21. Graphene based sensors and biosensors10.1016/j.trac.2017.04.003 ↗
22. Recent advances in graphene-based biosensor technology with applications in life sciences
23. Nanowire-Based Sensors10.1002/smll.201000972 ↗
24. Review—Nanostructured Materials-Based Nanosensors10.1149/1945-7111/ab67aa ↗
25. Advances in top–down and bottom–up surface nanofabrication: Techniques, applications & future prospects10.1016/j.cis.2011.11.001 ↗
26. Khanna, V.K. (2016). Integrated Nanoelectronics: Nanoscale CMOS, Post-CMOS and Allied Nanotechnologies, Springer India. NanoScience and Technology.10.1007/978-81-322-3625-2 ↗
27. From Top-Down to Bottom-Up to Hybrid Nanotechnologies: Road to Nanodevices10.1007/s10876-006-0086-5 ↗
28. Sensor Networks for Structures Health Monitoring: Placement, Implementations, and Challenges—A Review10.3390/vibration4030033 ↗
29. Li, X., Zhang, X., Werschmoeller, D., Choi, H., and Cheng, X. (2008, January 26–29). Embedded micro/nano sensors for harsh engineering environments. Proceedings of the 2008 IEEE Sensors, Lecce, Italy.10.1109/ICSENS.2008.4716676 ↗
30. Nanotechnology and building construction: Towards effective stakeholder engagement10.1088/1755-1315/1084/1/012074 ↗
31. Enhancement of linearity range of stretchable ultrasensitive metal crack strain sensor via superaligned carbon nanotube-based strain engineering10.1039/D0MH00806K ↗
32. Vibrating carbon nanotube based bio-sensors10.1016/j.physe.2009.09.007 ↗
33. Chemical vapor deposition growth of single-walled carbon nanotubes from plastic polymers10.1016/j.carbon.2021.10.067 ↗
34. Study of the effect of carbon-containing gas pressure on the geometric parameters of an array of carbon nanostructures10.1088/1742-6596/1124/2/022035 ↗
35. Vertically Aligned Carbon Nanotubes as a Unique Material for Biomedical Applications10.1021/acsami.1c20423 ↗
36. Discontinuous Dewetting, Template-Guided Self-Assembly, and Liquid Bridge-Transfer Printing of High-Resolution Single-Walled Carbon Nanotube Lines for Next-Generation Electrodes and Interconnects10.1021/acsanm.0c01556 ↗
37. Prajapati, S.K., Agnihotri, T., Gomte, S.S., and Jain, A. (2023). Chemically Modified Carbon Nanotubes for Commercial Applications, John Wiley & Sons, Ltd.10.1002/9783527838790.ch13 ↗
38. Comprehensive evaluation of the piezoresistive behavior of carbon nanotube-based composite strain sensors10.1016/j.compscitech.2021.108761 ↗
39. Hur, O.-N., Ha, J.-H., and Park, S.-H. (2020). Strain-Sensing Properties of Multi-Walled Carbon Nanotube/Polydimethylsiloxane Composites with Different Aspect Ratio and Filler Contents. Materials, 13.10.3390/ma13112431 ↗
40. Printed Carbon Nanotube-Based Humidity Sensors Deployable on Surfaces of Widely Varying Curvatures10.1021/acsanm.2c05423 ↗
41. Development of low-cost hybrid multi-walled carbon nanotube-based ammonia gas-sensing strips with an integrated sensor read-out system for clinical breath analyzer applications10.1088/1752-7163/ab278b ↗
42. Structure, Properties and Applications of Two-Dimensional Hexagonal Boron Nitride10.1002/adma.202101589 ↗
43. Graphene-based nanocomposites and their fabrication, mechanical properties and applications10.1016/j.mtla.2020.100815 ↗
44. Continuous mechanical exfoliation of graphene sheets via three-roll mill10.1039/c2jm33740a ↗
45. Epitaxial growth of two-dimensional stanene10.1038/nmat4384 ↗
46. Layer-by-layer synthesis of large-area graphene films by thermal cracker enhanced gas source molecular beam epitaxy10.1016/j.carbon.2011.01.033 ↗
47. Advances on graphene-based gas sensors for acetone detection based on its physical and chemical attributes10.1557/s43578-021-00456-3 ↗
48. Material processing, performance and reliability of MoS2 field effect transistor (FET) technology—A critical review10.1016/j.mssp.2023.107397 ↗
49. Graphene based nanomaterials for strain sensor application—A review10.1016/j.jece.2020.103743 ↗
50. The physics and chemistry of graphene-on-surfaces10.1039/C7CS00256D ↗
51. Advances in constructing silver nanowire-based conductive pathways for flexible and stretchable electronics10.1039/D2NR02475F ↗
52. Bulk synthesis of silicon nanowires using a low-temperature vapor–liquid–solid method10.1063/1.1401089 ↗
53. In-plane InSb nanowires grown by selective area molecular beam epitaxy on semi-insulating substrate10.1088/1361-6528/aac321 ↗
54. Recent advances in graphene based gas sensors10.1016/j.snb.2015.04.062 ↗
55. Oriented freeze-casting fabrication of resilient copper nanowire-based aerogel as robust piezoresistive sensor10.1016/j.cej.2019.01.071 ↗
56. Utilization of silicon nanowire field-effect transistors for the detection of a cardiac biomarker, cardiac troponin I and their applications involving animal models10.1038/s41598-020-78829-7 ↗
57. Silver nanowire-based stretchable strain sensors with hierarchical wrinkled structures10.1016/j.sna.2022.113653 ↗
58. An Attention Mechanism Inspired Selective Sensing Framework for Physical-Cyber Mapping in Internet of Things10.1109/JIOT.2019.2929552 ↗
59. Mele, L.J., Palestri, P., and Selmi, L. (2020, January 1–30). Modeling Selectivity and Cross-sensitivity in membrane-based potentiometric sensors. Proceedings of the 2020 Joint International EUROSOI Workshop and International Conference on Ultimate Integration on Silicon (EUROSOI-ULIS), Caen, France.10.1109/EUROSOI-ULIS49407.2020.9365285 ↗
60. Silicon Quantum Dots: Promising Theranostic Probes for the Future10.2174/1389450120666190405152315 ↗
61. Synthesis of Colloidal Quantum Dots with an Ultranarrow Photoluminescence Peak10.1021/acs.chemmater.0c04757 ↗
62. Semiconductor quantum dots: Technological progress and future challenges10.1126/science.aaz8541 ↗
63. General Expression for the Size-Dependent Optical Properties of Quantum Dots10.1021/acs.nanolett.2c00056 ↗
64. Jorns, M., and Pappas, D. (2021). A Review of Fluorescent Carbon Dots, Their Synthesis, Physical and Chemical Characteristics, and Applications. Nanomaterials, 11.10.3390/nano11061448 ↗
65. Calibration-Free and High-Sensitivity Microwave Detectors Based on InAs/InP Nanowire Double Quantum Dots10.1002/adfm.202212517 ↗
66. Quantum Dot Light-Emitting Transistors—Powerful Research Tools and Their Future Applications10.1002/adfm.201904174 ↗
67. Semiconductor/Carbon Quantum Dot-based Hue Recognition Strategy for Point of Need Testing: A Review10.1002/open.202200165 ↗
68. Domonkos, M., and Kromka, A. (2022). Nanosphere Lithography-Based Fabrication of Spherical Nanostructures and Verification of Their Hexagonal Symmetries by Image Analysis. Symmetry, 14.10.3390/sym14122642 ↗
69. High-performance microwave absorption epoxy composites filled with hollow nickel nanoparticles modified graphene via chemical etching method10.1016/j.compscitech.2019.04.001 ↗
70. Towards controlled synthesis of 2D crystals by chemical vapor deposition (CVD)10.1016/j.mattod.2020.06.012 ↗
71. Emerging carrier-free nanosystems based on molecular self-assembly of pure drugs for cancer therapy10.1002/med.21669 ↗
72. Geometrically Structured Nanomaterials for Nanosensors, NEMS, and Nanosieves10.1002/adma.201907082 ↗
73. Template-assisted fabrication of CuxS–C hybrid-structure-based electrodes for electrochemical applications10.1016/j.cej.2021.132549 ↗
74. Coordination-Directed Self-Assembly of Functional Polynuclear Lanthanide Supramolecular Architectures10.1021/acs.chemrev.1c00602 ↗
75. Ultra-narrow and ultra-strong nanojet for nanopatterning and nanolithography10.1016/j.ijleo.2022.168726 ↗
76. An adaptive sensor placement algorithm for structural health monitoring based on multi-objective iterative optimization using weight factor updating10.1016/j.ymssp.2020.107363 ↗
77. Determination and assessment of fatigue stresses on concrete bridges10.1002/suco.201900432 ↗
78. Automatic control of AC bridge-based capacitive strain sensor interface for wireless structural health monitoring10.1016/j.measurement.2022.111789 ↗
79. Impact of Big Data Analysis on Nanosensors for Applied Sciences Using Neural Networks10.1155/2021/4927607 ↗
80. Azizi, A. (2023). Control Engineering in Mechatronics, Springer Nature. Emerging Trends in Mechatronics.10.1007/978-981-16-7775-5 ↗
81. Embedded Sensors, Communication Technologies, Computing Platforms and Machine Learning for UAVs: A Review10.1109/JSEN.2021.3139124 ↗
82. Optimizing energy consumption in WSN-based IoT using unequal clustering and sleep scheduling methods10.1016/j.iot.2023.100765 ↗
83. Progress in micro/nano sensors and nanoenergy for future AIoT-based smart home applications10.1088/2632-959X/abf3d4 ↗
84. Battery-Free Power Supply for Wireless Sensor Combining Photovoltaic Cells and Supercapacitors10.4236/epe.2023.153007 ↗
85. Hiran, K.K., Khazanchi, D., Vyas, A.K., and Padmanaban, S. (2021). Machine Learning for Sustainable Development, Walter de Gruyter GmbH & Co KG.10.1515/9783110702507 ↗
86. Giouroukis, D., Dadiani, A., Traub, J., Zeuch, S., and Markl, V. (2020, January 13–17). A survey of adaptive sampling and filtering algorithms for the internet of things. Proceedings of the 14th ACM International Conference on Distributed and Event-Based Systems, Montreal, QC, Canada. Available online: https://dl.acm.org/doi/abs/10.1145/3401025.3403777.10.1145/3401025.3403777 ↗
87. Where Nanosensors Meet Machine Learning: Prospects and Challenges in Detecting Disease X10.1021/acsnano.2c05731 ↗
88. Vibration feature extraction using signal processing techniques for structural health monitoring: A review10.1016/j.ymssp.2022.109175 ↗
89. Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges10.1016/j.inffus.2021.11.006 ↗
90. Ye, C., Butler, L., Calka, B., Iangurazov, M., Lu, Q., Gregory, A., Girolami, M., and Middleton, C. (2019). A Digital Twin of Bridges for Structural Health Monitoring, DEStech Publications, Inc.. Available online: https://www.repository.cam.ac.uk/handle/1810/316786.10.12783/shm2019/32287 ↗
91. Digital Twin Technology for Bridge Maintenance Using 3D Laser Scanning: A Review10.1155/2022/2194949 ↗
92. Sensors in a Flash! Oxygen Nanosensors for Microbial Metabolic Monitoring Synthesized by Flash Nanoprecipitation10.1021/acssensors.2c00859 ↗
93. Optical nanosensors for biofilm detection in the food industry: Principles, applications and challenges10.1080/10408398.2020.1808877 ↗
94. Giordano, P.F., Quqa, S., and Limongelli, M.P. (2023). Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023, SPIE.
95. Vibration analysis of mass nanosensors with considering the axial-flexural coupling based on the two-phase local/nonlocal elasticity10.1016/j.ymssp.2020.106931 ↗
96. Nanotechnology-based approaches applied to nutraceuticals10.1007/s13346-021-00960-3 ↗
97. Denizli, A., Alencar, M.S., Nguyen, T.A., and Motaung, D.E. (2022). Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention, Elsevier. Micro and Nano Technologies.
98. Alabdulatif, A., Thilakarathne, N.N., Lawal, Z.K., Fahim, K.E., and Zakari, R.Y. (2023). Internet of Nano-Things (IoNT): A Comprehensive Review from Architecture to Security and Privacy Challenges. Sensors, 23.10.3390/s23052807 ↗
99. Preparation, property determination and bridge health monitoring applications of self-sensing cement nanocomposites10.1016/j.aej.2022.10.061 ↗
100. A systematic review on recent advances of metal–organic frameworks-based nanomaterials for electrochemical energy storage and conversion10.1016/j.ccr.2022.214741 ↗