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Relevant bibliographies by topics / Structural Health Monitoring

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Books
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Academic literature on the topic 'Structural Health Monitoring'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Structural Health Monitoring"

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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Structural Health Monitoring"

1

Webb, Graham Thomas. "Structural health monitoring of bridges." Thesis, University of Cambridge, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708027.

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Grisso, Benjamin Luke. "Advancing Autonomous Structural Health Monitoring." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/29960.

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The focus of this dissertation is aimed at advancing autonomous structural health monitoring. All the research is based on developing the impedance method for monitoring structural health. The impedance technique utilizes piezoelectric patches to interrogate structures of interested with high frequency excitations. These patches are bonded directly to the structure, so information about the health of the structure can be seen in the electrical impedance of the piezoelectric patch. However, traditional impedance techniques require the use of a bulky and expensive impedance analyzer. Research pr

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Ward, Jacob Thomas Elliott. "Guided wave structural health monitoring." Thesis, University of Bristol, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.682233.

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Routine airframe Non-Destructive Testing (NDT) procedures are costly and prone to human error. Guided wave structural health monitoring (GWSHM) shows great promise to in future assist these carefully regulated aerospace NDT practices. Using automatic GWSHM to both detect and localise damage can better focus the human NDT effort and ultimately lead to safer operation of airframes. The thesis presents structural health monitoring techniques for airframes using measurements of guided waves. Work is presented on both metal plates and carbon fibre reinforced plastic panels. An active GWSHM method i

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Dawood, Tariq Ali. "Structural health monitoring of GFRP sandwich beam structures." Thesis, University of Southampton, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438529.

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Ullah, Israr. "Vibration-based structural health monitoring of composite structures." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/vibrationbased-structural-health-monitoring-of-composite-structures(f21abb03-5b46-4640-9447-0552d5e0c7d6).html.

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Composite materials are in use in several applications, for example, aircraft structural components, because of their light weight and high strength. However the delamination which is one of the serious defects often develops and propagates due to vibration during the service of the structure. The presence of this defect warrants the design life of the structure and the safety. Hence the presence of such defect has to be detected in time to plan the remedial action well in advance. There are a number of methods in the literature for damage detection. They are either 'baseline free/reference fr

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Singh, Gurjashan. "Health Monitoring of Round Objects using Multiple Structural Health Monitoring Techniques." FIU Digital Commons, 2010. http://digitalcommons.fiu.edu/etd/330.

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Structural Health Monitoring (SHM) techniques are widely used in a number of Non – destructive Evaluation (NDE) applications. There is a need to develop effective techniques for SHM, so that the safety and integrity of the structures can be improved. Two most widely used SHM methods for plates and rods use either the spectrum of the impedances or monitor the propagation of lamb waves. Piezoelectric wafer – active sensors (PWAS) were used for excitation and sensing. In this study, surface response to excitation (SuRE) and Lamb wave propagation was monitored to estimate the integrity of the roun

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Lannamann, Daniel L. "Structural health monitoring : numerical damage predictor for composite structures." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA390997.

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Nayyerloo, Mostafa. "Real-time Structural Health Monitoring of Nonlinear Hysteretic Structures." Thesis, University of Canterbury. Department of Mechanical Engineering, 2011. http://hdl.handle.net/10092/6581.

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The great social and economic impact of earthquakes has made necessary the development of novel structural health monitoring (SHM) solutions for increasing the level of structural safety and assessment. SHM is the process of comparing the current state of a structure’s condition relative to a healthy baseline state to detect the existence, location, and degree of likely damage during or after a damaging input, such as an earthquake. Many SHM algorithms have been proposed in the literature. However, a large majority of these algorithms cannot be implemented in real time. Therefore, their result

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Kirikera, Goutham Raghavendra. "A Structural Neural System for Health Monitoring of Structures." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1155149869.

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Islami, Kleidi. "System identification and structural health monitoring of bridge structures." Doctoral thesis, Università degli studi di Padova, 2013. http://hdl.handle.net/11577/3423079.

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This research study addresses two issues for the identification of structural characteristics of civil infrastructure systems. The first one is related to the problem of dynamic system identification, by means of experimental and operational modal analysis, applied to a large variety of bridge structures. Based on time and frequency domain techniques and mainly with output-only acceleration, velocity or strain data, modal parameters have been estimated for suspension bridges, masonry arch bridges, concrete arch and continuous bridges, reticular and box girder steel bridges. After giving an in-

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Books on the topic "Structural Health Monitoring"

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Ganguli, Ranjan. Structural Health Monitoring. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4988-5.

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Balageas, Daniel, Claus-Peter Fritzen, and Alfredo Gemes, eds. Structural Health Monitoring. ISTE, 2006. http://dx.doi.org/10.1002/9780470612071.

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Yan, Ruqiang, Xuefeng Chen, and Subhas Chandra Mukhopadhyay, eds. Structural Health Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56126-4.

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Farrar, Charles R., and Keith Worden. Structural Health Monitoring. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118443118.

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Daniel, Balageas, Fritzen Claus-Peter, and Güemes Alfredo, eds. Structural health monitoring. ISTE, 2006.

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Daniel, Balageas, Fritzen Claus-Peter, and Güemes Alfredo, eds. Structural health monitoring. ISTE, 2005.

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Bui, Tinh Quoc, Le Thanh Cuong, and Samir Khatir, eds. Structural Health Monitoring and Engineering Structures. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0945-9.

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Rainieri, Carlo, Giovanni Fabbrocino, Nicola Caterino, Francesca Ceroni, and Matilde A. Notarangelo, eds. Civil Structural Health Monitoring. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74258-4.

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Limongelli, Maria Pina, and Mehmet Çelebi, eds. Seismic Structural Health Monitoring. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13976-6.

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International Workshop on Structural Health Monitoring (2nd 1999 Stanford, Calif.). Structural health monitoring, 2000. Technomic Pub. Co., 1999.

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Book chapters on the topic "Structural Health Monitoring"

1

Lu, George, and Y. J. Yang. "STRUCTURAL HEALTH MONITORING." In Internet of Things and Data Analytics Handbook. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119173601.ch40.

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Weihnacht, Bianca, Uwe Lieske, Tobias Gaul, and Kilian Tschöke. "Structural Health Monitoring." In Handbook of Advanced Non-Destructive Evaluation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-30050-4_50-1.

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Weihnacht, Bianca, Uwe Lieske, Tobias Gaul, and Kilian Tschöke. "Structural Health Monitoring." In Handbook of Advanced Nondestructive Evaluation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-26553-7_50.

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Anderson, Matthew, and David Cousins. "Structural health monitoring." In Highway Bridge Management. ICE Publishing, 2022. http://dx.doi.org/10.1680/hbm.65543.133.

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Mangalgiri, Prakash D., and Kota Harinarayana. "Structural Health Monitoring." In Aerospace Materials and Material Technologies. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2143-5_22.

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Bakht, Baidar, and Aftab Mufti. "Structural Health Monitoring." In Bridges. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17843-1_10.

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Tennina, Stefano, Marco Tiloca, Jan-Hinrich Hauer, et al. "Structural Health Monitoring." In SpringerBriefs in Electrical and Computer Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37368-8_7.

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Chang, Fu-Kuo, Johannes F. C. Markmiller, Jinkyu Yang, and Yujun Kim. "Structural Health Monitoring." In System Health Management. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119994053.ch26.

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Blanche, Jamie, Ranjeetkumar Gupta, Daniel Mitchell, Sam Harper, and David Flynn. "Structural Health Monitoring." In Realizing Complex System Design. CRC Press, 2025. https://doi.org/10.1201/9781003188377-33.

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Bornemann, Sarah. "Structural Health Monitoring." In Mechanics and Adaptronics. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-70648-6_5.

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Conference papers on the topic "Structural Health Monitoring"

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"Structural Health Monitoring (SHM) of Space Structures." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-42.

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Abstract. Recent years have seen an increased interest in exploring outer space for space tourism or for unmanned or manned planetary explorations. The captivated interests among various stakeholders to employ advanced technologies to meet the requirements of these missions have necessitated the use of newly developed asset monitoring systems to ensure robustness and mission reliability. Although, Non-Destructive Testing (NDT) methods provide sufficient information about the state of the structure at the time of inspection, the need for continuously monitoring the health of the structure throu

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Xu, Q. "Design of compact and portable structural health monitoring system for piezoelectric guided wave." In Structural Health Monitoring. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902455-35.

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Abstract. Structural health monitoring (SHM) is an important technology to realize structural reliability evaluation, which can increase the safety and reduce the maintenance costs of engineering structures. Piezoelectric guided wave SHM technology has broad application prospects because it is sensitive to small damage and can realize multi parameter monitoring such as damage and impact. However, the reported piezoelectric guided wave SHM system is large, which is not conducive to engineering applications. In this paper, aiming at the ground rapid monitoring application of aircraft structure,

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"A 3D Printed, Constriction-Resistive Sensor for the Detection of Ultrasonic Waves." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-33.

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Abstract. Ultrasonic waves, either bulk waves or guided waves, are commonly used for non-destructive evaluation, for example in structural health monitoring. Traditional sensors for detecting ultrasonic waves include metallic strain gauges and piezoelectric ceramics. Recently piezoresistive nanocomposites have emerged as a promising sensor with high sensing range. In this paper, a constriction-resistive based sensor made from a graphene reinforced PLA filament is developed using a fused deposition modelling 3D printing approach as a novel type of ultrasonic sensor for structural health monitor

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HADJRIA, RAFIK, and OSCAR D’ALMEIDA. "Structural Health Monitoring for Aerospace Composite Structures." In Structural Health Monitoring 2019. DEStech Publications, Inc., 2019. http://dx.doi.org/10.12783/shm2019/32280.

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Jing, Hutao. "A SHM damage diagnosis model evolution mechanism for individual aircraft structure." In Structural Health Monitoring. Materials Research Forum LLC, 2025. https://doi.org/10.21741/9781644903513-1.

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Abstract. The concept of aircraft health management is evolving from conventional fleet-based management to individual aircraft-based management. Accurate damage diagnosis with guided wave (GW)-based structural health monitoring (SHM) is of great significance for individual aircraft in service. However, both the damage propagation and monitoring of individual aircraft structures are affected by various uncertainties, such as time-varying environmental and operational conditions, different flight missions, and different damage morphologies. Consequently, employing a prior trained damage diagnos

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Dong, T. "Structural deformation monitoring under complex boundary constraints using boundary parameter-optimized iFEM." In Structural Health Monitoring. Materials Research Forum LLC, 2025. https://doi.org/10.21741/9781644903513-3.

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Abstract. Spacecraft in orbit are gradually developing in the direction of large-scale, complex, and distributed. These aircraft structures will undergo complex thermal deformation because of time-varying and distributed thermal excitation in harsh operating environments. Real-time and accurate structural deformation monitoring is important to ensure the spacecraft's performance in orbit. The inverse Finite Element Method (iFEM) is the most promising strain-based deformation reconstruction algorithm for the independent of the material properties and external load information. However, iFEM nee

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"Computational Study of Scattering Elastic Waves Due to a Teredo Marine Borer-Like Cylindrical Defect Embedded in an Isotropic Solid Cylinder." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-13.

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Abstract. This paper showcases a quantitative investigation of scattering of ultrasonic waves experiences when impinging on a cylindrical defect inside a solid cylinder. Such cylindrical bores reduce the structural capacity of the cylinder, these defects constitute an even greater risk as they cannot be observed from the surface. The focal point investigated herein is to develop a better understanding of the wave’s scattering when interacting with defects of cylindrical bore, mimicking the Teredo marine borer, within the solid cylinder. Two-dimensional Finite Element simulations are carried ou

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"Gaussian Mixture Model Based Damage Evaluation for Aircraft Structures." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-18.

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Abstract. The Guided Wave (GW) based Structural Health Monitoring (SHM) method is of significant research interest because of its wide monitoring range and high sensitivity. However, there are still many challenges in real engineering applications due to complex time-varying conditions, such as changes in temperature and humidity, random dynamic loads, and structural boundary conditions. In this paper, a Gaussian Mixture Model (GMM) is adopted to deal with these problems. Multi-dimensional GMM (MDGMM) is proposed to model the probability distribution of GW features under time-varying condition

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"Damage Identification of High-speed Maglev Guideway Girder Based on Modal Identification." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-34.

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Abstract. As a modern high-tech rail vehicle, the maglev train realizes the non-contact suspension and guidance between the train and the guideway, which greatly reduces the resistance of the system. Due to the high-speed operation characteristics of maglev trains, the structural health monitoring of guideway girders is particularly important for the safety and stability of maglev train operation. This paper takes the maglev train guideway girder as the monitoring target, and the finite element model of the maglev vehicle-guideway is established to simulate the running state of the train passi

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"Extraction of Parameters for 90-degree Turn Prediction Using the IMU-based Motion Capture System." In Structural Health Monitoring. Materials Research Forum LLC, 2021. http://dx.doi.org/10.21741/9781644901311-29.

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Abstract. Against the increasing number of single households, we have been proposing the “Biofied Building” that provides a safe, secure, and comfortable living space for a resident using a small home robot. The robot can be used for real-time sensing of the resident’s position and behavior. On the other hand, for further use of the robot, such as choosing a path that does not disturb the resident, a phase to predict the resident’s behavior is necessary. Walking, which is one of the most basic activities of daily living, is often targeted in studies of motion prediction. However, most of them

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Reports on the topic "Structural Health Monitoring"

1

Roach, Dennis P., Raymond Bond, and Doug Adams. Structural Health Monitoring for Impact Damage in Composite Structures. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1154712.

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Chattopadhyay, Aditi. Structural Health Monitoring for Heterogeneous Systems. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada465429.

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Chiu, Wing K. Structural Health Monitoring Pertaining to Critical Aircraft Structural Components. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada515997.

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Flynn, Eric B. Design Optimization of Structural Health Monitoring Systems. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1122908.

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Chang, Fu-Kuo. Structural Health Monitoring: A Summary Report on the First Stanford Workshop on Structural Health Monitoring, September 18-20, 1997. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada350933.

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Park, G., C. R. Farrar, M. D. Todd, T. Hodgkiss, and T. Rosing. Energy Harvesting for Structural Health Monitoring Sensor Networks. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/902464.

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DOEBLING, S. W., and F. M. HEMEZ. OVERVIEW OF UNCERTAINTY ASSESSMENT FOR STRUCTURAL HEALTH MONITORING. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/783378.

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Masri, Sami F. Analytical and Experimental Studies into Structural Health Monitoring. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada387071.

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Bubacz, Jacob A., Hana T. Chmielewski, Alexander E. Pape, et al. Phase Space Dissimilarity Measures for Structural Health Monitoring. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1029952.

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Yalisove. Femtosecond Laser Assisted Health Monitoring of Critical Structural Components. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada435785.

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