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Journal articles on the topic 'Structural Health Monitoring'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Ghodake, Prasad, and S. R. Suryawanshi. "Structural Health Monitoring." Journal of Advances and Scholarly Researches in Allied Education 15, no. 2 (2018): 360–63. http://dx.doi.org/10.29070/15/56847.

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2

Rasool, Junaid. "IOT Based Structural Health Monitoring." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (2018): 771–73. http://dx.doi.org/10.31142/ijtsrd18743.

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3

Pines, Darryll J., and Fu-Kuo Chang. "Structural Health Monitoring." Journal of Intelligent Material Systems and Structures 9, no. 11 (1998): 875. http://dx.doi.org/10.1177/1045389x9800901101.

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4

Del Grosso, Andrea E. "Structural Health Monitoring Standards." IABSE Symposium Report 102, no. 6 (2014): 2991–98. http://dx.doi.org/10.2749/222137814814069804.

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5

Chattopadhyay, Aditi, and Roger Ghanem. "Preface: Structural Health Monitoring." Journal of Intelligent Material Systems and Structures 24, no. 17 (2013): 2061–62. http://dx.doi.org/10.1177/1045389x13506146.

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6

ElSafty, Adel, Ahmed Gamal, Patrick Kreidl, and Gerald Merckel. "Structural Health Monitoring: Alarming System." Wireless Sensor Network 05, no. 05 (2013): 105–15. http://dx.doi.org/10.4236/wsn.2013.55013.

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7

Elwasia, Nazar, Mannur J. Sundaresan, Mark J. Schulz, Anindya Ghoshal, P. Frank Pai, and Peter K. C. Tu. "Damage Bounding Structural Health Monitoring." Journal of Intelligent Material Systems and Structures 17, no. 7 (2006): 629–48. http://dx.doi.org/10.1177/1045389x06060148.

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8

Scuro, Carmelo, Paolo Francesco Sciammarella, Francesco Lamonaca, Renato Sante Olivito, and Domenico Luca Carni. "IoT for structural health monitoring." IEEE Instrumentation & Measurement Magazine 21, no. 6 (2018): 4–14. http://dx.doi.org/10.1109/mim.2018.8573586.

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9

Rajasekhar, Karanam, and Mr Zeeshan Khan. "Structural Health Monitoring Using IOT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 07 (2024): 1–14. http://dx.doi.org/10.55041/ijsrem36802.

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In the construction industry, maintaining structural integrity is pivotal for safety, efficiency, and economic viability. Traditional inspection methods, often sporadic and reliant on visual assessments, can overlook critical issues, especially in challenging environments where access is restricted or hazardous. The integration of IoT (Internet of Things) technology has revolutionized structural health monitoring by enabling continuous, remote data collection and analysis through sophisticated sensor networks. These networks, comprising wireless sensors strategically placed across buildings or

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10

Yi, Ting-Hua, and Hong-Nan Li. "Innovative structural health monitoring technologies." Measurement 88 (June 2016): 343–44. http://dx.doi.org/10.1016/j.measurement.2016.05.038.

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11

Rivera, E., A. A. Mufti, and D. J. Thomson. "Civionics for structural health monitoring." Canadian Journal of Civil Engineering 34, no. 3 (2007): 430–37. http://dx.doi.org/10.1139/l06-159.

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As the design and construction of civil structures continue to evolve, it is becoming imperative that these structures be monitored for their health. To meet this need, the discipline of civionics has emerged. It involves the application of electronics to civil structures and aims to assist engineers in realizing the full benefits of structural health monitoring (SHM). Therefore, the goal of the civionics specifications outlined in this work is to ensure that the installation and operation of fibre optic sensors are successful. This paper will discuss several lessons learned during the impleme

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12

Shrive, P. L., T. G. Brown, and N. G. Shrive. "Practicalities of structural health monitoring." Smart Structures and Systems 5, no. 4 (2009): 357–67. http://dx.doi.org/10.12989/sss.2009.5.4.357.

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13

Sumitro, S., and M. L. Wang. "Sustainable structural health monitoring system." Structural Control and Health Monitoring 12, no. 3-4 (2005): 445–67. http://dx.doi.org/10.1002/stc.79.

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14

Rezk, M. Y., N. H. Mohamed, and N. M. Nagy. "Structural health monitoring with UAV." Journal of Physics: Conference Series 2616, no. 1 (2023): 012051. http://dx.doi.org/10.1088/1742-6596/2616/1/012051.

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Abstract In recent years, the use of drones to monitor various types of smart constructions has attracted more attention. Unmanned Aerial Vehicles (UAV) have a number of potential benefits over manual methods for Analyzing construction due to their permit scalable, quick, and affordable solutions to tasks that would otherwise be unsuitable for individuals who are subject to fatigue and measurement uncertainty. In order to better understand how drones can be used in dam monitoring and construction for situation assessment, early warning, and image processing, the current study is studying this

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15

Sujat, Yousuf Bhat, and Bhutani Kapil. "Structural Health Monitoring of Concrete." Journal of Advanced Cement & Concrete Technology 3, no. 2 (2020): 1–2. https://doi.org/10.5281/zenodo.3950889.

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Infrastructure of a country, whether developed or developing consists many old as well as new structures like bridges, roads, tunnels, high rise buildings, water tanks, power plants,etc. and huge cost is invested to keep them in working condition without any failure. In all above mentioned structures concrete is generally most commonly used construction material. Concrete is very susceptible to a variety of environmental degradation factors like freezing and thawing, chemical, acid rains, sulfate attack, temperature etc, which tends to limit the service life of the structures. This degrading n

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16

Gaurav, S. Talekar, S. Shinde Aniket, and S. Kamble Prasad. "Structural Health Monitoring: A Review." Journal of Remote Sensing GIS & Technology 5, no. 1 (2019): 83–89. https://doi.org/10.5281/zenodo.2619993.

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The use of Structural Health Monitoring (SHM) is a key to achieve technological leaps in the design and operation of engineering structures. Composite materials incorporating SHM systems enable the design and manufacture of tailored smart structures. This paper focuses on the application of SHM for various components including those in the maritime, oil and gas, civil infrastructure and other industries as a means of highlighting the issues that is faced by conventional methods. Incorporation of SHM has the potential to reduce through-life costs by the adoption of Condition Based Maintenance a

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17

Junaid, Rasool. "IOT Based Structural Health Monitoring." International Journal of Trend in Scientific Research and Development 2, no. 6 (2018): 771–73. https://doi.org/10.31142/ijtsrd18743.

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Structural Health Monitoring is an emerging field of science and technology. The process of implementing a damage detection and characterization strategy for engineering structures is referred to as Structural Health Monitoring SHM . The SHM process involves the observation of a system over time using periodically sampled dynamic response measurements from an array of sensors, the extraction of damage sensitive features from these measurements, and the statistical analysis of these features to determine the current state of system health. The research paper describes the piezo vibrational sens

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18

INADA, Takaomi. "Development of Pressure Vessels : Needs of Structural Health Monitoring System." Proceedings of Conference of Kanto Branch 2004.10 (2004): 49–52. http://dx.doi.org/10.1299/jsmekanto.2004.10.49.

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19

Sasikala J Selvakumar, V. "Architecture Escort: Structural Health Monitoring System Using Wireless Sensor Network." International Journal of Scientific Engineering and Research 2, no. 4 (2014): 20–24. https://doi.org/10.70729/j2013232.

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20

Pozo, Francesc, Diego A. Tibaduiza, and Yolanda Vidal. "Sensors for Structural Health Monitoring and Condition Monitoring." Sensors 21, no. 5 (2021): 1558. http://dx.doi.org/10.3390/s21051558.

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Structural control and health monitoring as condition monitoring are some essential areas that allow for different system parameters to be designed, supervised, controlled, and evaluated during the system’s operation in different processes, such as those used in machinery, structures, and different physical variables in mechanical, chemical, electrical, aeronautical, civil, electronics, mechatronics, and agricultural engineering applications, among others [...]

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21

Silva, Ignacio Javier González, and Raid Karoumi. "Traffic monitoring using a structural health monitoring system." Proceedings of the Institution of Civil Engineers - Bridge Engineering 168, no. 1 (2015): 13–23. http://dx.doi.org/10.1680/bren.11.00046.

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22

Nigam, Utkarsh, and Rajneesh Sharma. "Rehabilitation of Buildings for Functional Unsuitability: Need of Structural Health Monitoring." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 152–58. http://dx.doi.org/10.31142/ijtsrd10848.

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23

Bhadane, Pooja, Akanksha Mali, and Mukta Fulse Jayashri Patil Prof S. B. Wagh. "Structural Health Monitoring SHM of Highway bridges using Wireless Sensor Network." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 1216–21. http://dx.doi.org/10.31142/ijtsrd14167.

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24

Anand, Royana. "AI-Driven Structural Health Monitoring: Unleashing Potential and Embracing Future Opportunities." International Journal of Media and Networks 2, no. 8 (2024): 01–02. http://dx.doi.org/10.33140/ijmn.02.08.02.

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Structural Health Monitoring (SHM) is a critical aspect of ensuring the safety and longevity of infrastructure such as bridges, buildings, and dams. Traditional SHM techniques, while effective, often rely on manual inspections and can be laborintensive, time-consuming, and prone to human error. Recent advancements in Artificial Intelligence (AI) have the potential to revolutionize SHM by automating data analysis, improving predictive capabilities, and enhancing overall system efficiency. This article explores the integration of AI in SHM, highlighting key innovations, challenges, and future di

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25

Ozdagli, Ali, and Xenofon Koutsoukos. "Domain Adaptation for Structural Health Monitoring." Annual Conference of the PHM Society 12, no. 1 (2020): 9. http://dx.doi.org/10.36001/phmconf.2020.v12i1.1184.

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In recent years, machine learning (ML) algorithms gained a lot of interest within structural health monitoring (SHM) community. Many of those approaches assume the training and test data come from similar distributions. However, real-world applications, where an ML model is trained on numerical simulation data and tested on experimental data, are deemed to fail in detecting the damage, as both domain data are collected under different conditions and they don’t share the same underlying features. This paper proposes the domain adaptation approach as a solution to particular SHM problems where t

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26

Kim, Yail J., Evangeline Murison, and Aftab Mufti. "Structural health monitoring: a Canadian perspective." Proceedings of the Institution of Civil Engineers - Civil Engineering 163, no. 4 (2010): 185–91. http://dx.doi.org/10.1680/cien.2010.163.4.185.

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27

Abdelaal, A., A. Mosallam, and M. Amin. "SENSORS USED IN STRUCTURAL HEALTH MONITORING." International Conference on Civil and Architecture Engineering 9, no. 9 (2012): 1–12. http://dx.doi.org/10.21608/iccae.2012.44256.

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28

Mosalam, Khalid, Sifat Muin, and Yuqing Gao. "NEW DIRECTIONS IN STRUCTURAL HEALTH MONITORING." NED University Journal of Research 2, Special Issue on First SACEE'19 (2019): 77–112. http://dx.doi.org/10.35453/nedjr-stmech-2019-0006.

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This paper presents two on-going efforts of the Pacific Earthquake Engineering Research (PEER) center in the area of structural health monitoring. The first is data-driven damage assessment, which focuses on using data from instrumented buildings to compute the values of damage features. Using machine learning algorithms, these damage features are used for rapid identification of the level and location of damage after earthquakes. One of the damage features identified to be highly efficient is the cumulative absolute velocity. The second is vision-based automated damage identification and asse

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29

Holford, Karen M. "Acoustic Emission in Structural Health Monitoring." Key Engineering Materials 413-414 (June 2009): 15–28. http://dx.doi.org/10.4028/www.scientific.net/kem.413-414.15.

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Structural Health Monitoring (SHM) is of paramount importance in an increasing number of applications, not only to ensure safety and reliability, but also to reduce NDT costs and to ensure timely maintenance of critical components. This paper overviews the modern applications of acoustic emission (AE), which has become established as a very powerful technique for monitoring damage in a variety of structures, and the new approaches that have enabled the successful application of the technique, leading to automated crack detection. Examples are drawn from a variety of industries to provide an in

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30

YUAN, Shenfang, Jian WU, Weisong YE, Xia ZHAO, and Xin XU. "On distributed structural health monitoring system." Journal of Advanced Science 18, no. 1/2 (2006): 131–39. http://dx.doi.org/10.2978/jsas.18.131.

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31

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 st

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32

Friswell, Michael I., and John E. Mottershead. "Inverse Methods in Structural Health Monitoring." Key Engineering Materials 204-205 (April 2001): 201–10. http://dx.doi.org/10.4028/www.scientific.net/kem.204-205.201.

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33

Karuskevich, M., T. Maslak, Ie Gavrylov, Ł. Pejkowski, and J. Seyda. "Structural health monitoring for light aircraft." Procedia Structural Integrity 36 (2022): 92–99. http://dx.doi.org/10.1016/j.prostr.2022.01.008.

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34

Hudec, Robert, Ladislav Janousek, Miroslav Benco, et al. "Structural Health Monitoring of Helicopter Fuselage." Communications - Scientific letters of the University of Zilina 15, no. 2 (2013): 95–101. http://dx.doi.org/10.26552/com.c.2013.2.95-101.

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35

Kusunoki, K. "Structural Health Monitoring for Building Structures." Concrete Journal 58, no. 9 (2020): 761–66. http://dx.doi.org/10.3151/coj.58.9_761.

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36

NAGAI, Nozomu, Akira MITA, Takahiro YAKOH, and Tadanobu SATO. "Wireless Sensor for Structural Health Monitoring." Journal of JAEE 3, no. 4 (2003): 1–13. http://dx.doi.org/10.5610/jaee.3.4_1.

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37

Gamal, Ahmed, Adel ElSafty, and Gerald Merckel. "New System of Structural Health Monitoring." Open Journal of Civil Engineering 03, no. 01 (2013): 19–28. http://dx.doi.org/10.4236/ojce.2013.31004.

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38

Maalej, Mohamed, Anestis Karasaridis, Stavroula Pantazopoulou, and Dimitrios Hatzinakos. "Structural health monitoring of smart structures." Smart Materials and Structures 11, no. 4 (2002): 581–89. http://dx.doi.org/10.1088/0964-1726/11/4/314.

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39

Karale, Prof Ankita. "Iot based Structural Health Monitoring System." International Journal for Research in Applied Science and Engineering Technology 8, no. 5 (2020): 43–48. http://dx.doi.org/10.22214/ijraset.2020.5009.

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40

Cha, Young-Jin, Yeesock Kim, and Taesun You. "Advanced Sensing and Structural Health Monitoring." Journal of Sensors 2018 (2018): 1–3. http://dx.doi.org/10.1155/2018/7286069.

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41

Dharap, Prasad, Bong-Hwan Koh, and Satish Nagarajaiah. "Structural Health Monitoring using ARMarkov Observers." Journal of Intelligent Material Systems and Structures 17, no. 6 (2006): 469–81. http://dx.doi.org/10.1177/1045389x06058793.

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42

Joshi, Shiv, and Kara Peters. "SMASIS Symposium on Structural Health Monitoring." Journal of Intelligent Material Systems and Structures 21, no. 3 (2010): 223. http://dx.doi.org/10.1177/1045389x09359109.

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43

Stoilov, G., D. Pashkouleva, and V. Kavardzhikov. "Smartphone application for structural health monitoring." IOP Conference Series: Materials Science and Engineering 951 (November 3, 2020): 012026. http://dx.doi.org/10.1088/1757-899x/951/1/012026.

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44

Krüger, Markus, Christian U. Grosse, and Pedro José Marrón. "Wireless Structural Health Monitoring Using MEMS." Key Engineering Materials 293-294 (September 2005): 625–34. http://dx.doi.org/10.4028/www.scientific.net/kem.293-294.625.

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So far, the inspection of building structures and especially of bridges is mainly done visually. Therefore, the condition of the structure is examined from the surface and the interpretation and assessment is based on the experience of the expert. However, the main purpose of monitoring civil structures is not to substitute visual inspection. Continuous structural health monitoring should provide data from the inside of a structure to better understand its structural performance and to predict its durability and remaining life time. Monitoring should render objective data and observable altera

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45

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 (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 assistin

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46

Farrar, Charles R., and Keith Worden. "An introduction to structural health monitoring." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, no. 1851 (2006): 303–15. http://dx.doi.org/10.1098/rsta.2006.1928.

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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 (SHM). Here, damage is defined as changes to the material and/or geometric properties of these systems, including changes to the boundary conditions and system connectivity, which adversely affect the system's performance. A wide variety of highly effective local non-destructive evaluation tools are available for such monitoring. However, the majority of SHM research conducted over the last 30 years has attempted to identify

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47

Yu, Lingyu, Yanfeng Shen, and Victor Giurgiutiu. "Piezoelectric Transducer-Based Structural Health Monitoring." Sensors 24, no. 11 (2024): 3438. http://dx.doi.org/10.3390/s24113438.

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48

Klikowicz, Piotr, Marek Salamak, and Grzegorz Poprawa. "Structural Health Monitoring of Urban Structures." Procedia Engineering 161 (2016): 958–62. http://dx.doi.org/10.1016/j.proeng.2016.08.833.

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49

Trifunac, M. D., and M. Ebrahimian. "Detection thresholds in structural health monitoring." Soil Dynamics and Earthquake Engineering 66 (November 2014): 319–38. http://dx.doi.org/10.1016/j.soildyn.2014.07.014.

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50

Alampalli, Sreenivas, Mohammed M. Ettouney, and Anil K. Agrawal. "Structural health monitoring for bridge maintenance." Bridge Structures 1, no. 3 (2005): 345–54. http://dx.doi.org/10.1080/15732480500252751.

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