Journal articles: 'Infrastructure health monitoring'

1

Brownjohn, J. M. W. "Structural health monitoring of civil infrastructure." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, no. 1851 (December 13, 2006): 589–622. http://dx.doi.org/10.1098/rsta.2006.1925.

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Structural health monitoring (SHM) is a term increasingly used in the last decade to describe a range of systems implemented on full-scale civil infrastructures and whose purposes are to assist and inform operators about continued ‘fitness for purpose’ of structures under gradual or sudden changes to their state, to learn about either or both of the load and response mechanisms. Arguably, various forms of SHM have been employed in civil infrastructure for at least half a century, but it is only in the last decade or two that computer-based systems are being designed for the purpose of assisting owners/operators of ageing infrastructure with timely information for their continued safe and economic operation. This paper describes the motivations for and recent history of SHM applications to various forms of civil infrastructure and provides case studies on specific types of structure. It ends with a discussion of the present state-of-the-art and future developments in terms of instrumentation, data acquisition, communication systems and data mining and presentation procedures for diagnosis of infrastructural ‘health’.

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Aktan, A. E., F. N. Catbas, K. A. Grimmelsman, and C. J. Tsikos. "Issues in Infrastructure Health Monitoring for Management." Journal of Engineering Mechanics 126, no. 7 (July 2000): 711–24. http://dx.doi.org/10.1061/(asce)0733-9399(2000)126:7(711).

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Aggelis, Dimitrios G., Ninel Alver, and Hwa Kian Chai. "Health Monitoring of Civil Infrastructure and Materials." Scientific World Journal 2014 (2014): 1–2. http://dx.doi.org/10.1155/2014/435238.

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Chang, Peter C., Alison Flatau, and S. C. Liu. "Review Paper: Health Monitoring of Civil Infrastructure." Structural Health Monitoring: An International Journal 2, no. 3 (September 2003): 257–67. http://dx.doi.org/10.1177/1475921703036169.

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5

Miyamoto, Ayaho. "IT-based Bridge Health Monitoring for Sustainable Infrastructure." IABSE Symposium Report 96, no. 20 (January 1, 2009): 22–29. http://dx.doi.org/10.2749/222137809796067704.

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Miyamoto, Ayaho. "IT-based Bridge Health Monitoring for Sustainable Infrastructure." IABSE Symposium Report 96, no. 5 (January 1, 2009): 231–38. http://dx.doi.org/10.2749/222137809796088594.

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7

Zhang, Yinan, Lei Yuan, Zhi Zhou, and Amardeep Kaur. "Sensors for Structural Health Monitoring in Civil Infrastructure." Journal of Sensors 2018 (June 3, 2018): 1–2. http://dx.doi.org/10.1155/2018/6023059.

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Olund, Josh, and John DeWolf. "Passive Structural Health Monitoring of Connecticut’s Bridge Infrastructure." Journal of Infrastructure Systems 13, no. 4 (December 2007): 330–39. http://dx.doi.org/10.1061/(asce)1076-0342(2007)13:4(330).

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9

Feng, M. Q. "Application of structural health monitoring in civil infrastructure." Smart Structures and Systems 5, no. 4 (July 25, 2009): 469–82. http://dx.doi.org/10.12989/sss.2009.5.4.469.

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Altabey, Wael A., and Mohammad Noori. "Artificial-Intelligence-Based Methods for Structural Health Monitoring." Applied Sciences 12, no. 24 (December 12, 2022): 12726. http://dx.doi.org/10.3390/app122412726.

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Intelligent and resilient infrastructure and smart cities make up a rapidly emerging field that is redefining the future of urban development and ways of preserving the existing infrastructure against natural hazards...

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Li, Haijian, Limin Jia, Yigang Zhang, Chengkun Liu, and Jian Rong. "Wireless Sensor Networks of Infrastructure Health Monitoring for High-Speed Railway." Shock and Vibration 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/5194324.

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High-speed railways (HSRs) have been widely deployed all over the world in recent years and China has entered an era with both high investments and rapid expansion of HSR transport infrastructure. One of the most challenging issues is how to keep the security and safety of millions of HSR infrastructures. Meanwhile, the emerging sensing and wireless sensor network (WSN) technologies for infrastructure health monitoring (IHM) are being substituted for traditional tethered monitoring systems. This paper presents a two-layer architecture of WSN which will be appropriate for infrastructure health monitoring of HSR. The upper layer is named as tree access network and the lower layer is called star detection network. By adapting to the special characteristics of IHM network, we design a short network address and an optimized communication frame structure, which can satisfy the actual requirements and special characteristics of the IHM network. In order to implement a better transmission performance, we propose a novel transmission power based method which adopts the knowledge update mechanism to detect the optimization result. In the end, the details of address assignment and network construction are discussed, and the effectiveness of the proposed method is validated by a practical instance.

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Biondi, Filippo, Pia Addabbo, Silvia Liberata Ullo, Carmine Clemente, and Danilo Orlando. "Perspectives on the Structural Health Monitoring of Bridges by Synthetic Aperture Radar." Remote Sensing 12, no. 23 (November 24, 2020): 3852. http://dx.doi.org/10.3390/rs12233852.

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Large infrastructures need continuous maintenance because of materials degradation due to atmospheric agents and their persistent use. This problem makes it imperative to carry out persistent monitoring of infrastructure health conditions in order to guarantee maximum safety at all times. The main issue of early warning infrastructure fault detection is that expensive in-situ distributed monitoring sensor networks have to be installed. On the contrary, the use of satellite data has made it possible to use immediate and low-cost techniques in recent years. In this regard, the potential of spaceborne Synthetic Aperture Radar for the monitoring of critical infrastructures is demonstrated in geographically extended areas, even in the presence of clouds, and in really tough weather. A complete procedure for damage early-warning detection is designed, by using micro-motion (m-m) estimation of critical sites, based on modal proprieties analysis. Particularly, m-m is processed to extract modal features such as natural frequencies and mode shapes generated by vibrations of large infrastructures. Several study cases are here considered and the “Morandi” Bridge (Polcevera Viaduct) in Genoa (Italy) is analyzed in depth highlighting abnormal vibration modes during the period before the bridge collapsed.

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Lan, Cheng Ming, and Wen Feng Liu. "Structural Health Monitoring Cloud and its Applications for Large-Scale Infrastructures." Applied Mechanics and Materials 330 (June 2013): 418–25. http://dx.doi.org/10.4028/www.scientific.net/amm.330.418.

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The concept and framework about Structural Health Monitoring Cloud (SHMC) for data management, data storage, safety warning and structural safety assessment are established in this paper based on the fusions of cloud computing, internet of things (IOT), and structural health monitoring (SHM). SHM plays a significant role in modern infrastructure because it provides a means to assess structural integrity online, eliminate manual inspections and may result in a transition from time-to condition-based maintenance. Also, there are many difficulties to deal with the huge amounts data for the owner of infrastructure. So the new ideas of SHMC which is provided and realized by the third part professional organization are proposed in this paper. Based on the summary of the technical characteristic of internet of things for structural health monitoring, the system requirements, architecture, and advantages of SHMC are described, and then the statues of related technology research were reviewed. The data mining and damage detection programs are embedded in SHMC platform and all collected data from acquisition system would be processed and then be used to assess the safety of infrastructures. Finally, actual applications of SHMC for large-scale infrastructures are illustrated.

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Kaartinen, Elise, Kyle Dunphy, and Ayan Sadhu. "LiDAR-Based Structural Health Monitoring: Applications in Civil Infrastructure Systems." Sensors 22, no. 12 (June 18, 2022): 4610. http://dx.doi.org/10.3390/s22124610.

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As innovative technologies emerge, extensive research has been undertaken to develop new structural health monitoring procedures. The current methods, involving on-site visual inspections, have proven to be costly, time-consuming, labor-intensive, and highly subjective for assessing the safety and integrity of civil infrastructures. Mobile and stationary LiDAR (Light Detection and Ranging) devices have significant potential for damage detection, as the scans provide detailed geometric information about the structures being evaluated. This paper reviews the recent developments for LiDAR-based structural health monitoring, in particular, for detecting cracks, deformation, defects, or changes to structures over time. In this regard, mobile laser scanning (MLS) and terrestrial laser scanning (TLS), specific to structural health monitoring, were reviewed for a wide range of civil infrastructure systems, including bridges, roads and pavements, tunnels and arch structures, post-disaster reconnaissance, historical and heritage structures, roofs, and retaining walls. Finally, the existing limitations and future research directions of LiDAR technology for structural health monitoring are discussed in detail.

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Bennett, V., T. Abdoun, M. Zeghal, A. Koelewijn, M. Barendse, and R. Dobry. "Real-Time Monitoring System and Advanced Characterization Technique for Civil Infrastructure Health Monitoring." Advances in Civil Engineering 2011 (2011): 1–12. http://dx.doi.org/10.1155/2011/870383.

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Real-time monitoring of civil infrastructure provides valuable information to assess the health and condition of the associated systems. This paper presents the recently developed shape acceleration array (SAA) and local system identification (SI) technique, which constitute a major step toward long-term effective health monitoring and analysis of soil and soil-structure systems. The SAA is based on triaxial micro-electro-mechanical system (MEMS) sensors to measure in situ deformation (angles relative to gravity) and dynamic accelerations up to a depth of one hundred meters. This paper provides an assessment of this array's performance for geotechnical instrumentation applications by reviewing the recorded field data from a bridge replacement site and a full-scale levee test facility. The SI technique capitalizes on the abundance of static and dynamic measurements from the SAA. The geotechnical properties and constitutive response of soil contained within a locally instrumented zone are analyzed and identified independently of adjacent soil strata.

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Kaya, Yavuz, Carlos Ventura, Sharlie Huffman, and Martin Turek. "British Columbia Smart Infrastructure Monitoring System." Canadian Journal of Civil Engineering 44, no. 8 (August 2017): 579–88. http://dx.doi.org/10.1139/cjce-2016-0577.

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This paper describes the architecture of a comprehensive seismic monitoring system developed in 2009 by the British Columbia Ministry of Transportation and Infrastructure (MoT) and the University of British Columbia, Canada. The main purpose of the British Columbia Smart Infrastructure Monitoring System project is to instrument and monitor key structures to provide confirmation of their seismic capacity, assist in focusing retrofit efforts, detect structural damage, and provide rapid damage assessment of those structures, following a seismic event. The automatic creation of shakemaps following an earthquake provides information for the MoT’s non-instrumented bridges. The public notification systems and web pages have been developed to display real-time seismic data both from the strong motion network and seismic structural health monitoring network. Tools and methods have been developed to help transform the current practice of inspecting and evaluating structures to a more rational and effective one that uses the up-to-date sensing technology with fast and efficient techniques.

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17

Mousa, Mohammed Abbas, Mustafasanie M. Yussof, Ufuoma Joseph Udi, Fadzli Mohamed Nazri, Mohd Khairul Kamarudin, Gerard A. R. Parke, Lateef N. Assi, and Seyed Ali Ghahari. "Application of Digital Image Correlation in Structural Health Monitoring of Bridge Infrastructures: A Review." Infrastructures 6, no. 12 (December 13, 2021): 176. http://dx.doi.org/10.3390/infrastructures6120176.

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A vision-based approach has been employed in Structural Health Monitoring (SHM) of bridge infrastructure. The approach has many advantages: non-contact, non-destructive, long-distance, high precision, immunity from electromagnetic interference, and multiple-target monitoring. This review aims to summarise the vision- and Digital Image Correlation (DIC)-based SHM methods for bridge infrastructure because of their strategic significance and security concerns. Four different bridge types were studied: concrete, suspension, masonry, and steel bridge. DIC applications in SHM have recently garnered attention in aiding to assess the bridges’ structural response mechanisms under loading. Different non-destructive diagnostics methods for SHM in civil infrastructure have been used; however, vision-based techniques like DIC were only developed over the last two decades, intending to facilitate damage detection in bridge systems with prompt and accurate data for efficient and sustainable operation of the bridge structure throughout its service life. Research works reviewed in this article demonstrated the DIC capability to detect damage such as cracks, spalling, and structural parameters such as deformation, strains, vibration, deflection, and rotation. In addition, the reviewed works indicated that the DIC as an efficient and reliable technique could provide sustainable monitoring solutions for different bridge infrastructures.

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18

Benedetto, Andrea, Imad L. Al-Qadi, Amir M. Alani, Andreas Loizos, and Fabio Tosti. "Sensing Advancement and Health Monitoring of Transport Structures." Sensors 21, no. 22 (November 16, 2021): 7621. http://dx.doi.org/10.3390/s21227621.

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19

Braunfelds, Janis, Ugis Senkans, Peteris Skels, Rims Janeliukstis, Toms Salgals, Dmitrii Redka, Ilya Lyashuk, et al. "FBG-Based Sensing for Structural Health Monitoring of Road Infrastructure." Journal of Sensors 2021 (January 8, 2021): 1–11. http://dx.doi.org/10.1155/2021/8850368.

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Public road infrastructure is developed all around the world. To save resources, ensure public safety, and provide longer-lasting road infrastructure, structural health monitoring (SHM) applications for roads have to be researched and developed. Asphalt is one of the largest used surface materials for the road building industry. This material also provides relatively easy fiber optical sensor technology installment, which can be effectively used for SHM applications—road infrastructure monitoring as well as for resource optimization when road building or their repairs are planned. This article focuses on the research of the fiber Bragg grating (FBG) optical temperature and strain sensor applications in road SHM, which is part of the greater interdisciplinary research project started at the Riga Technical University in the year 2017. Experimental work described in this article was realized in one of the largest Latvian road sites where the FBG strain and temperature sensors were installed into asphalt pavement, and experiments were carried out in two main scenarios. Firstly, in a controlled environment with a calibrated falling weight deflectometer (FWD) to test the installed FBG sensors. Secondly, by evaluating the real-time traffic impact on the measured strain and temperature, where different types of vehicles passed the asphalt span in which the sensors were embedded. The findings in this research illustrate that by gathering and combining data from calibrated FWD measurements, measurements from embedded FBG optical sensors which were providing the essential information of how the pavement structure could sustain the load and information about the traffic intensity on the specific road section, and the structural life of the pavement can be evaluated and predicted. Thus, it enables the optimal pavement future design for necessary requirements and constraints as well as efficient use, maintenance, and timely repairs of the public roads, directly contributing to the overall safety of our transportation system.

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20

Kalamkarov, A. L., G. C. Saha, A. V. Georgiades, K. Challagulla, and J. P. Newhook. "Smart FRP Reinforcements for Long-Term Health Monitoring in Infrastructure." Journal of Thermoplastic Composite Materials 17, no. 4 (July 2004): 359–81. http://dx.doi.org/10.1177/0892705704045189.

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21

Buckeridge, D. L., M. Izadi, A. Shaban-Nejad, L. Mondor, C. Jauvin, L. Dube, Y. Jang, and R. Tamblyn. "An infrastructure for real-time population health assessment and monitoring." IBM Journal of Research and Development 56, no. 5 (September 2012): 2:1–2:11. http://dx.doi.org/10.1147/jrd.2012.2197132.

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22

Hussein, Rafaat. "Smart Technologies for Health Assessment and Monitoring of Infrastructure Components." International Journal on Recent and Innovation Trends in Computing and Communication 3, no. 4 (2015): 2456–60. http://dx.doi.org/10.17762/ijritcc2321-8169.1504147.

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23

Magdics, Milán, Rubén Jesús Garcia, and Mateu Sbert. "Marker-Based Framework for Structural Health Monitoring of Civil Infrastructure." Applied Mechanics and Materials 378 (August 2013): 539–45. http://dx.doi.org/10.4028/www.scientific.net/amm.378.539.

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As no civil infrastructure can escape aging and deterioration, health monitoring can prevent and report serious structural damage. With the rapid evolution of computer vision algorithms, optical-based systems become an increasingly feasible option for automatic monitoring. This paper proposes a cheap and flexible standalone system based on marker tracking to report deflection of structural elements of civil infrastructure. A single marker is placed on tracked objects, which allows unambiguous identification of objects and accurate movement tracking. Accuracy of the system is discussed by presenting a theoretical analysis of the translation error. Additionally, as a proof of concept we extend our work with a low-cost laboratory test implementation.

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24

Braunfelds, Janis, Ugis Senkans, Peteris Skels, Rims Janeliukstis, Toms Salgals, Dmitrii Redka, Ilya Lyashuk, et al. "FBG-Based Sensing for Structural Health Monitoring of Road Infrastructure." Journal of Sensors 2021 (January 8, 2021): 1–11. http://dx.doi.org/10.1155/2021/8850368.

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Public road infrastructure is developed all around the world. To save resources, ensure public safety, and provide longer-lasting road infrastructure, structural health monitoring (SHM) applications for roads have to be researched and developed. Asphalt is one of the largest used surface materials for the road building industry. This material also provides relatively easy fiber optical sensor technology installment, which can be effectively used for SHM applications—road infrastructure monitoring as well as for resource optimization when road building or their repairs are planned. This article focuses on the research of the fiber Bragg grating (FBG) optical temperature and strain sensor applications in road SHM, which is part of the greater interdisciplinary research project started at the Riga Technical University in the year 2017. Experimental work described in this article was realized in one of the largest Latvian road sites where the FBG strain and temperature sensors were installed into asphalt pavement, and experiments were carried out in two main scenarios. Firstly, in a controlled environment with a calibrated falling weight deflectometer (FWD) to test the installed FBG sensors. Secondly, by evaluating the real-time traffic impact on the measured strain and temperature, where different types of vehicles passed the asphalt span in which the sensors were embedded. The findings in this research illustrate that by gathering and combining data from calibrated FWD measurements, measurements from embedded FBG optical sensors which were providing the essential information of how the pavement structure could sustain the load and information about the traffic intensity on the specific road section, and the structural life of the pavement can be evaluated and predicted. Thus, it enables the optimal pavement future design for necessary requirements and constraints as well as efficient use, maintenance, and timely repairs of the public roads, directly contributing to the overall safety of our transportation system.

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25

Mehta, Vipin, and Magda El Zarki. "A Bluetooth Based Sensor Network for Civil Infrastructure Health Monitoring." Wireless Networks 10, no. 4 (July 2004): 401–12. http://dx.doi.org/10.1023/b:wine.0000028544.49457.eb.

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26

Budillon, Alessandra, and Gilda Schirinzi. "Remote Monitoring of Civil Infrastructure Based on TomoSAR." Infrastructures 7, no. 4 (April 6, 2022): 52. http://dx.doi.org/10.3390/infrastructures7040052.

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Structural health monitoring and damage detection tools are extremely important topics nowadays with the civil infrastructure aging and deteriorating problems observed in urban areas. These tasks can be done by visual inspection and by using traditional in situ methods, such as leveling or using traditional mechanical and electrical sensors, but these approaches are costly, labor-intensive and cannot be performed with a high temporal frequency. In recent years, remote sensing has proved to be a very promising methodology in evaluating the health of a structure by assessing its deformation and thermal dilation. The satellite-based Synthetic Aperture Radar Tomography (TomoSAR) technique, based on the exploitation of a stack of multi-temporal SAR images, allows to remotely sense the movement and the thermal dilation of individual structures with a centimeter- to millimeter-level accuracy, thanks to new generation high-resolution satellite-borne sensors. In this paper, the effectiveness of a recently developed TomoSAR technique in assessing both possible deformations and the thermal dilation evolution of man-made structures is shown. The results obtained using X-band SAR data in two case studies, concerning two urban structures in the city of Naples (Italy), are presented.

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Kampars, Jānis, Jānis Grabis, Ralfs Matisons, and Artjoms Vindbergs. "ON INTEGRATION OF EVOLVING INFRASTRUCTURE TOPOLOGY GRAPHS AND METRIC DATA STREAMS IN INFORMATION TECHNOLOGY INFRASTRUCTURE MANAGEMENT." ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference 2 (June 17, 2021): 62–68. http://dx.doi.org/10.17770/etr2021vol2.6607.

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Modern cloud-based information technology (IT) infrastructure monitoring context and data are gathered from various systems. Typical monitoring systems provide a set of metrics characterizing the performance and health of a variety of infrastructure components. To understand the dependencies and relations among these measurements, the infrastructure topology can be analysed to provide context to the monitoring metrics. However, the metrics and the topology are updated at different time intervals and providing continuous merging and analysis of both data sets is a challenging task which is rarely addressed in the scientific literature. The paper elaborates a method for integration of infrastructure topology graph and monitoring metric data streams. The method is intended for application in the identification of anomalies in IT infrastructure.

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Corva, Dean M., Seyyed Sobhan Hosseini, Frank Collins, Scott D. Adams, Will P. Gates, and Abbas Z. Kouzani. "Miniature Resistance Measurement Device for Structural Health Monitoring of Reinforced Concrete Infrastructure." Sensors 20, no. 15 (August 2, 2020): 4313. http://dx.doi.org/10.3390/s20154313.

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A vast amount of civil infrastructure is constructed using reinforced concrete, which can be susceptible to corrosion, posing significant risks. Corrosion of reinforced concrete has various causes, with chloride ingress known to be a major contributor. Monitoring this chloride ingress would allow for preventative maintenance to be less intrusive at a lower cost. Currently, chloride sensing methods are bulky and expensive, leaving the majority of concrete infrastructures unmonitored. This paper presents the design and fabrication of a miniature, low-cost device that can be embedded into concrete at various locations and depths. The device measures localized concrete resistance, correlating to the chloride ingress in the concrete using equations listed in this paper, and calculated results from two experiments are presented. The device benefits from a four-probe architecture, injecting a fixed frequency AC waveform across its outer electrodes within the cement block. Voltage across the internal electrodes is measured with a microcontroller and converted to a resistance value, communicated serially to an external computer. A final test showcases the ability of the device for three-dimensional mass deployment.

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Valero, Maria, Fangyu Li, Liang Zhao, Chi Zhang, Jose Garrido, and Zhu Han. "Vibration sensing-based human and infrastructure safety/health monitoring: A survey." Digital Signal Processing 114 (July 2021): 103037. http://dx.doi.org/10.1016/j.dsp.2021.103037.

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Sierra, Cristobal, Shuva Paul, Akhlaqur Rahman, and Ambarish Kulkarni. "Development of a Cognitive Digital Twin for Pavement Infrastructure Health Monitoring." Infrastructures 7, no. 9 (August 29, 2022): 113. http://dx.doi.org/10.3390/infrastructures7090113.

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A road network is the key foundation of any nation’s critical infrastructure. Pavements represent one of the longest-living structures, having a post-construction life of 20–40 years. Currently, most attempts at maintaining and repairing these structures are performed in a reactive and traditional fashion. Recent advances in technology and research have proposed the implementation of costly measures and time-intensive techniques. This research presents a novel automated approach to develop a cognitive twin of a pavement structure by implementing advanced modelling and machine learning techniques from unmanned aerial vehicle (e.g., drone) acquired data. The research established how the twin is initially developed and subsequently capable of detecting current damage on the pavement structure. The proposed method is also compared to the traditional approach of evaluating pavement condition as well as the more advanced method of employing a specialized diagnosis vehicle. This study demonstrated an efficiency enhancement of maintaining pavement infrastructure.

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Livina, Valerie, and Marcus Perry. "Structural health monitoring of infrastructure with sensors: from detection to prevention." Proceedings of the Institution of Civil Engineers - Civil Engineering 170, no. 2 (May 2017): 52. http://dx.doi.org/10.1680/jcien.2017.170.2.52.

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He, Jian, Guoping Zhang, Shuang Hou, and C. S. Cai. "Geopolymer-Based Smart Adhesives for Infrastructure Health Monitoring: Concept and Feasibility." Journal of Materials in Civil Engineering 23, no. 2 (February 2011): 100–109. http://dx.doi.org/10.1061/(asce)mt.1943-5533.0000140.

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Ceylan, Halil, Kasthurirangan Gopalakrishnan, Sunghwan Kim, Peter C. Taylor, Maxim Prokudin, and Ashley F. Buss. "HIGHWAY INFRASTRUCTURE HEALTH MONITORING USING MICRO-ELECTROMECHANICAL SENSORS AND SYSTEMS (MEMS)." Journal of Civil Engineering and Management 19, Supplement_1 (January 9, 2014): S188—S201. http://dx.doi.org/10.3846/13923730.2013.801894.

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The development of novel “smart” structures by embedding sensing capabilities directly into the construction material during the manufacturing and deployment process has attracted significant attention in autonomous structural health monitoring (SHM). Micro-electromechanical systems (MEMS) provide vast improvements over existing sensing methods in the context of SHM of highway infrastructure systems, including improved system reliability, improved longevity and enhanced system performance, improved safety against natural hazards and vibrations, and a reduction in life cycle cost in both operating and maintaining the infrastructure. Advancements in MEMS technology and wireless sensor networks provide opportunities for long-term, continuous, real-time structural health monitoring of pavements and bridges at low cost within the context of sustainable infrastructure systems. Based on a comprehensive review of literature and vendor survey, the latest information available on off-the-shelf MEMS devices, as well as research prototypes, for bridge, pavement, and traffic applications are synthesized in this paper. In addition, the paper discusses the results of a laboratory study as well as a small-scale field study on the use of a wireless concrete monitoring system based on radio-frequency identification (RFID) technology and off-the-shelf MEMS-based temperature and humidity sensors.

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Tito, Stanley Leonard. "A Simplified Outpatient Health Monitoring System in Resource Constrained IoT Infrastructure." International Journal of Engineering Research and Advanced Technology 05, no. 12 (2019): 37–48. http://dx.doi.org/10.31695/ijerat.2019.3586.

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Jayawardana, Devaka, Sergey Kharkovsky, Ranjith Liyanapathirana, and Xinqun Zhu. "Measurement System With Accelerometer Integrated RFID Tag for Infrastructure Health Monitoring." IEEE Transactions on Instrumentation and Measurement 65, no. 5 (May 2016): 1163–71. http://dx.doi.org/10.1109/tim.2015.2507406.

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Zhou, Huixing, Chongwen Xu, Xiuying Tang, Shun Wang, and Zhongyue Zhang. "A Review of Vision-Laser-Based Civil Infrastructure Inspection and Monitoring." Sensors 22, no. 15 (August 6, 2022): 5882. http://dx.doi.org/10.3390/s22155882.

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Structural health and construction security are important problems in civil engineering. Regular infrastructure inspection and monitoring methods are mostly performed manually. Early automatic structural health monitoring techniques were mostly based on contact sensors, which usually are difficult to maintain in complex infrastructure environments. Therefore, non-contact infrastructure inspection and monitoring techniques received increasing interest in recent years, and they are widely used in all aspects of infrastructure life, owing to their convenience and non-destructive properties. This paper provides an overview of vision-based inspection and vision–laser-based monitoring techniques and applications. The inspection part includes image-processing algorithms, object detection, and semantic segmentation. In particular, infrastructure monitoring involves not only visual technologies but also different fusion methods of vision and lasers. Furthermore, the most important challenges for future automatic non-contact inspections and monitoring are discussed and the paper correspondingly concludes with state-of-the-art algorithms and applications to resolve these challenges.

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Gkoumas, Konstantinos, Kyriaki Gkoktsi, Flavio Bono, Maria Cristina Galassi, and Daniel Tirelli. "The Way Forward for Indirect Structural Health Monitoring (iSHM) Using Connected and Automated Vehicles in Europe." Infrastructures 6, no. 3 (March 13, 2021): 43. http://dx.doi.org/10.3390/infrastructures6030043.

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Europe’s aging transportation infrastructure requires optimized maintenance programs. However, data and monitoring systems may not be readily available to support strategic decisions or they may require costly installations in terms of time and labor requirements. In recent years, the possibility of monitoring bridges by indirectly sensing relevant parameters from traveling vehicles has emerged—an approach that would allow for the elimination of the costly installation of sensors and monitoring campaigns. The advantages of cooperative, connected, and automated mobility (CCAM), which is expected to become a reality in Europe towards the end of this decade, should therefore be considered for the future development of iSHM strategies. A critical review of methods and strategies for CCAM, including Intelligent Transportation Systems, is a prerequisite for moving towards the goal of identifying the synergies between CCAM and civil infrastructures, in line with future developments in vehicle automation. This study presents the policy framework of CCAM in Europe and discusses the policy enablers and bottlenecks of using CCAM in the drive-by monitoring of transport infrastructure. It also highlights the current direction of research within the iSHM paradigm towards the identification of technologies and methods that could benefit from the use of connected and automated vehicles (CAVs).

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Meneses, Gustavo. "Sensor Networks for Monitoring Metro-de-Medellín System Infrastructure." KnE Engineering 3, no. 1 (February 11, 2018): 862. http://dx.doi.org/10.18502/keg.v3i1.1507.

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Structural health monitoring systems rely on electronic instrumentation and telemetry for improving maintenance tasks, preventing catastrophic failures and following the behavior of critical variables for infrastructure works such as tunnels, highways, bridges and buildings. A proposal for the development of sensor networks for monitoring Metro-de-Medellín system infrastructure is presented. The adopted approach is based on the deployment of generic sensing units that can operate either individually or by constituting wireless personal area networks un-der the MiWi P2P protocol from Microchip. Different transceivers can be added to monitoring units that can act as gateways in order to allow collected data reach other networks, ranging from local area to metropolitan area coverage. Several sensors, digital and analog, can be attached to the generic units depending on the particular requirements of specific situations and monitoring locations. The results obtained from performed tests and the options considered for graphical user interfaces are also presented.Keywords: MiWi Protocol, Structural Health Monitoring, Short Data Service, Terrestrial Trunked Radio, Wireless Sensor Networks.

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Bhat, Mohammad Hanan. "A Comprehensive Multi-Modal Framework for Plant Health Monitoring." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 20, 2021): 1793–95. http://dx.doi.org/10.22214/ijraset.2021.36739.

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: Plant health monitoring has been a significant field of research since a very long time. The scope of this research work conducted lies in the vast domain of plant pathology with its applications extending in the field of agriculture production monitoring to forest health monitoring. It deals with the data collection techniques based on IOT, pre-processing and post-processing of Image dataset and identification of disease using deep learning model. Therefore, providing a multi-modal end-to-end approach for plant health monitoring. This paper reviews the various methods used for monitoring plant health remotely in a non-invasive manner. An end-to-end low cost framework has been proposed for monitoring plant health by using IOT based data collection methods and cloud computing for a single-point-of-contact for the data storage and processing. The cloud agent gateway connects the devices and collects the data from sensors to ensure a single source of truth. Further, the deep learning computational infrastructure provided by the public cloud infrastructure is exploited to train the image dataset and derive the plant health status

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Addanke, Supriya, R. Anandan, and P. Venkata Krishna. "IoT-Enabled Smart Healthcare Infrastructure Maximises Energy Efficiency." International Journal on Recent and Innovation Trends in Computing and Communication 10, no. 8 (August 31, 2022): 88–95. http://dx.doi.org/10.17762/ijritcc.v10i8.5680.

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Advancements in IoT-based applications have become the cutting-edge technology among researchers due to the wide availability of the Internet. In order to make the application more user-friendly, Android-based and Web-based technologies have become increasingly important in this cutting-edge technology. Smart cities, Internet of Things(IoT), Smart health care systems are the technology of the future. A combination of numerous systems focusing on monitoring different components of the smart city (such as water, e-health, gas, power monitoring and emergency scenario detection) can be used to make the city more sustainable and secure. In smart cities, energy consumption is particularly important for e-health. An optimization approach is provided in this paper to reduce total network energy usage. When compared to previous methods, the overall performance has improved by 57.89%.

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Wang, Xin, and Wei Bing Hu. "Structural Health Monitoring for Steel Structures." Applied Mechanics and Materials 351-352 (August 2013): 1088–91. http://dx.doi.org/10.4028/www.scientific.net/amm.351-352.1088.

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The process of implementing a damage identification strategy for aerospace, civil and mechanical engineering infrastructure is referred to as structural health monitoring. Many different types and degrees accidents take place, especially some important collapse accidents, the significance of steel structural health monitoring has been recognized. The introduction begins with a brief research status of steel structural health monitoring in china and the world. The paper analyzes the projects and contents of steel structures monitoring from nine aspects and summarizes the diagnosis methods of steel structural damages which include power fingerprint analysis, the methods of model correction and system identification, neural network methods, genetic algorithm and wavelet analysis, it provides us theoretical guidence. In conclusion, structural health monitoring for steel structures could reduce the impact of such disasters immediately after natural hazards and man-made disasters both economically and socially, thus it is becoming increasingly important.

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Rary, Emma, Sarah M. Anderson, Brandon D. Philbrick, Tanvi Suresh, and Jasmine Burton. "Smart Sanitation—Biosensors as a Public Health Tool in Sanitation Infrastructure." International Journal of Environmental Research and Public Health 17, no. 14 (July 16, 2020): 5146. http://dx.doi.org/10.3390/ijerph17145146.

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The health of individuals and communities is more interconnected than ever, and emergent technologies have the potential to improve public health monitoring at both the community and individual level. A systematic literature review of peer-reviewed and gray literature from 2000-present was conducted on the use of biosensors in sanitation infrastructure (such as toilets, sewage pipes and septic tanks) to assess individual and population health. 21 relevant papers were identified using PubMed, Embase, Global Health, CDC Stacks and NexisUni databases and a reflexive thematic analysis was conducted. Biosensors are being developed for a range of uses including monitoring illicit drug usage in communities, screening for viruses and diagnosing conditions such as diabetes. Most studies were nonrandomized, small-scale pilot or lab studies. Of the sanitation-related biosensors found in the literature, 11 gathered population-level data, seven provided real-time continuous data and 14 were noted to be more cost-effective than traditional surveillance methods. The most commonly discussed strength of these technologies was their ability to conduct rapid, on-site analysis. The findings demonstrate the potential of this emerging technology and the concept of Smart Sanitation to enhance health monitoring at the individual level (for diagnostics) as well as at the community level (for disease surveillance).

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Chalmers, Carl, William Hurst, Michael Mackay, and Paul Fergus. "Identifying behavioural changes for health monitoring applications using the advanced metering infrastructure." Behaviour & Information Technology 38, no. 11 (February 7, 2019): 1154–66. http://dx.doi.org/10.1080/0144929x.2019.1574900.

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Peter Carden, E., and James M. W. Brownjohn. "ARMA modelled time-series classification for structural health monitoring of civil infrastructure." Mechanical Systems and Signal Processing 22, no. 2 (February 2008): 295–314. http://dx.doi.org/10.1016/j.ymssp.2007.07.003.

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Kim, Tae-Bong. "Development of Structural Health Monitoring System based USN for a Huge Infrastructure." Transactions of the Korean Institute of Electrical Engineers P 65, no. 1 (March 1, 2016): 7–12. http://dx.doi.org/10.5370/kieep.2016.65.1.007.

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Spyrou, Evangelos D., and Vassilios Kappatos. "An Investigation of CTP Use for Wireless Structural Health Monitoring of Infrastructure." CivilEng 3, no. 4 (October 26, 2022): 946–59. http://dx.doi.org/10.3390/civileng3040053.

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Structural Health Monitoring (SHM) is a very important research domain whereby civil infrastructure is monitored. Using wireless technologies can boost SHM by providing the level of autonomous operation that is essential for these tasks. Wireless routing, with its subset, geographic routing, is an important procedure that needs to be optimised, in order to lead packets to the basestation. Occasionally, routing is susceptible to interference and collisions due to a large number of connected devices. This fact led to cooperative transmission; cooperative networks are the ones that utilise relays to accomplish the transmission of packets; thus, resulting in link quality as well as throughput increase. In this paper, we investigate the Collection Tree Protocol (CTP) to show that it can be cooperative when used in an SHM for civil infrastructure monitoring applications giving a geographical essence to the routing protocol. We do that by exploiting the fact that the CTP’s mechanism uses its tree formation for a node to transmit to the best link quality parents. An example of a cooperative model to show that it may be applied to the protocol is given. Further, Indriya testbed results of direct and cooperative transmissions are given to strengthen the case of this work, with which a scenario where the CTP exhibits better link quality when using a relay is given. A practical addition is suggested, whereby an extra field in the packet struct is proposed, which will provide the CTP with further strength to changing conditions and direct communication loss.

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Saouma, Victor E., Dana Z. Anderson, Keith Ostrander, Byeongha Lee, and Volker Slowik. "Application of fiber Bragg grating in local and remote infrastructure health monitoring." Materials and Structures 31, no. 4 (May 1998): 259–66. http://dx.doi.org/10.1007/bf02480424.

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Skorupka, Zbigniew, and Andrzej Tywoniuk. "Health Monitoring in Landing Gears." Journal of KONES 26, no. 1 (March 1, 2019): 167–74. http://dx.doi.org/10.2478/kones-2019-0020.

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Abstract Every mechanical construction loses its properties in time due to the usage wear that leads to malfunctions and, in the end, to failure. Widely used method of failure time prediction base on extended laboratory tests where a device is tested against fatigue and wear. This method is well established but is expensive, time-consuming, and costly. Another way of failure prediction is to calculate it using advanced algorithms what is faster and cheaper but less accurate than actual tests. Furthermore, both methods are not optimal due to the principle of operation based on simplified assumptions. In such cases, it is common to make the lifespan of the safety wise devices for example landing gears much less than real in case of fatal failure not covered by the predictions. This can lead to much higher price and maintenance costs of the landing gear. Nowadays the worldwide trend is to monitor the behaviour of the devices in real time and predict failure using actual state. There are several methods of health monitoring, most of them including sensors, acquisition systems and computer software for analysis. In this article, authors describe possible landing gears health monitoring methods based on authors ’ laboratory experience in sensor appliance and test data analysis. The authors also present their idea of adding health monitoring to existing landing gears where no dedicated infrastructure was initially designed.

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Nagarajaiah, Satish, Shirley Dyke, Jerome P. Lynch, Andrew Smyth, Anil Agrawal, Michael Symans, and Erik Johnson. "Current Directions of Structural Health Monitoring and Control in USA." Advances in Science and Technology 56 (September 2008): 277–86. http://dx.doi.org/10.4028/www.scientific.net/ast.56.277.

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Structural Health Monitoring (SHM) is an important and growing field in civil engineering. The goal of SHM techniques is to identify, quantify and locate damage in structures. In light of the aging infrastructure and recent failures of important bridges, long-term monitoring techniques are being increasing investigated and adopted. In addition to SHM, structural control (SC) is increasingly adopted in modern structures around the world. In the past two decades a number of SC techniques, including, passive, semi-active, and active control methods have been developed and adopted in civil engineering–particularly, in infrastructure such as important tall buildings, critical facilities, and long span bridges. Both SHM and SC technology face significant challenges due to the size and scale of civil engineering structures. In response of these challenges researchers in the U.S.A and around the world have developed new and innovative techniques.This paper summarizes some of the ongoing research in the U.S.A. in the area of monitoring, damage detection and control in civil engineering structures.

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Hashimoto, Katsufumi, Tomoki Shiotani, Hiroyuki Mitsuya, and Kai-Chun Chang. "MEMS Vibrational Power Generator for Bridge Slab and Pier Health Monitoring." Applied Sciences 10, no. 22 (November 21, 2020): 8258. http://dx.doi.org/10.3390/app10228258.

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Micro energy harvesters (MEH) based on microelectromechanical systems (MEMS) are rapidly developing, providing a green and virtually infinite energy source. The electrostatic vibratory power generator outputs electric power when it vibrates, motivating us to apply it to vibrating civil infrastructures excited by ambient and daily traffic loadings. In this study, an innovative monitoring system utilizing MEH devices was proposed for detecting slab damage and pier scours for bridge structures. Its performance was numerically investigated with finite element models, where the damage in slabs was modeled with a reduced Young’s modulus and scours with fixed boundaries of inclined depth. It was shown that the powers generated at each MEH varied as the target structure’s modal frequency shifted and amplitude changed by damage or scour. A power generation index was proposed to identify slab damage and a reference-free method was introduced to detect uneven pier scours. Utilizing an electrostatic vibration-based MEH (MEMS vibrational power generator), this pioneering study showed that MEMS vibrational power generators can work as sensors for an infrastructure structural health monitoring system.

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Journal articles on the topic 'Infrastructure health monitoring'

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