Structural Health Monitoring Techniques and Technologies for Large-Scale Structures: Challenges, Limitations, and Recommendations

AlHamaydeh, Mohammad; Aswad, Nour Ghazal

doi:10.1061/(asce)sc.1943-5576.0000703

Cited by 27 publications

(9 citation statements)

References 206 publications

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“…Optical fiber-based transducers for Acoustic Emission at elevated temperatures have been developed, e.g., for measurements of metal corrosion processes by [ 63 , 64 ]. Non-contact measurements for SHM are also an option, see, e.g., [ 65 , 66 , 67 , 68 ]. Laser-based methods, e.g., scanning laser vibrometry, and of “structured light”, e.g., DIC, Shearography, or thermography or laser ultrasound excitation and measurement for non-contact methods, are available for many SHM applications.…”

Section: Mitigation Of Effects From Variable Service Environmentsmentioning

confidence: 99%

A Review of Approaches for Mitigating Effects from Variable Operational Environments on Piezoelectric Transducers for Long-Term Structural Health Monitoring

Brunner

2023

Sensors

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Extending the service life of ageing infrastructure, transportation structures, and processing and manufacturing plants in an era of limited resources has spurred extensive research and development in structural health monitoring systems and their integration. Even though piezoelectric transducers are not the only sensor technology for SHM, they are widely used for data acquisition from, e.g., wave-based or vibrational non-destructive test methods such as ultrasonic guided waves, acoustic emission, electromechanical impedance, vibration monitoring or modal analysis, but also provide electric power via local energy harvesting for equipment operation. Operational environments include mechanical loads, e.g., stress induced deformations and vibrations, but also stochastic events, such as impact of foreign objects, temperature and humidity changes (e.g., daily and seasonal or process-dependent), and electromagnetic interference. All operator actions, correct or erroneous, as well as unintentional interference by unauthorized people, vandalism, or even cyber-attacks, may affect the performance of the transducers. In nuclear power plants, as well as in aerospace, structures and health monitoring systems are exposed to high-energy electromagnetic or particle radiation or (micro-)meteorite impact. Even if environmental effects are not detrimental for the transducers, they may induce large amounts of non-relevant signals, i.e., coming from sources not related to changes in structural integrity. Selected issues discussed comprise the durability of piezoelectric transducers, and of their coupling and mounting, but also detection and elimination of non-relevant signals and signal de-noising. For long-term service, developing concepts for maintenance and repair, or designing robust or redundant SHM systems, are of importance for the reliable long-term operation of transducers for structural health monitoring.

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Section: Mitigation Of Effects From Variable Service Environmentsmentioning

confidence: 99%

A Review of Approaches for Mitigating Effects from Variable Operational Environments on Piezoelectric Transducers for Long-Term Structural Health Monitoring

Brunner

2023

Sensors

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“…Their study showed that the DIC could identify structural factors including vibration, deflection, and rotation as well as damage, like fractures and spalling. AlHamaydeh, and Ghazal Aswad [37] reviewed the most modern techniques and technologies for building large structures. They also talked about problems and limits, which helped them figure out some future research needs and directions.…”

Section: The Importance Of Using the Shm Systemmentioning

confidence: 99%

The State of the Art of Artificial Intelligence Approaches and New Technologies in Structural Health Monitoring of Bridges

et al. 2022

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The challenges of urban administration are growing, as the population, automobiles, and cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A key feature of the “smart cities” of today is that they use cutting-edge technology in their infrastructure and services. With strategic planning, the smart city utilizes its resources in the most efficient manner. With reduced expenses and enhanced infrastructure, smart cities provide their residents with more and better services. One of these important urban services that can be very helpful in managing cities is structural health monitoring (SHM). By combining leading new technologies like the Internet of Things (IoT) with structural health monitoring, important urban infrastructure can last longer and work better. A thorough examination of recent advances in SHM for infrastructure is thus warranted. Bridges are one of the most important parts of a city’s infrastructure, and their building, development, and proper maintenance are some of the most important aspects of managing a city. The main goal of this study is to look at how artificial intelligence (AI) and some technologies, like drone technology and 3D printers, could be used to improve the current state of the art in SHM systems for bridges, including conceptual frameworks, benefits and problems, and existing methods. An outline of the role AI and other technologies will play in SHM systems of bridges in the future was provided in this study. Some novel technology-aided research opportunities are also highlighted, explained, and discussed.

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“…Hence, in an attempt to enhance port vulnerability assessment practices with data related to structural integrity, the implementation of in situ inspections and condition monitoring is a prerequisite. The current trends in the condition assessment of civil infrastructure systems involve Structural Health Monitoring (SHM) practices with non-contact-based sensors, such as remote sensing techniques [21]. Unmanned Aerial Vehicles (UAVs) equipped with high-resolution cameras have been employed as a form of remote sensing SHM of port structures [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Port Vulnerability Assessment Using Unmanned-Aerial-Vehicle-Based Structural Health Monitoring

Tsaimou,

Brouziouti,

Sartampakos

et al. 2023

Sustainability

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Port vulnerability assessment is inherently linked to the delivery of sustainable and resilient infrastructure. Identifying the vulnerabilities and weaknesses of a port system allows for the minimization of disaster effects and optimization of maintenance, repair, or mitigation actions. The current port vulnerability assessment practices are built upon the examination of a diversity of indicators (parameters), including technical, physical, environmental, and socioeconomic pressures. From an engineering perspective, and given that ports are tangible infrastructure assets, their vulnerability is highly affected by the structural condition of their facilities. Hence, the present research seeks to enhance port vulnerability assessment by introducing structural condition parameters based on Structural Health Monitoring applications. The four fishing and leisure harbors of the Municipality of Thebes, located in central Greece, were used as a case study. Two approaches were considered for the harbors’ vulnerability assessments: (a) enabling and (b) disabling the use of the proposed parameters. In situ inspections were conducted with the employment of an Unmanned Aerial Vehicle (UAV) for condition monitoring. UAV data were analyzed to generate geospatial images that allow for the mapping and detecting of defects and failures in port infrastructure. The overall research assists decision-makers in gaining valuable insight into the system’s vulnerabilities and prioritizing their interventions.

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Structural Health Monitoring Techniques and Technologies for Large-Scale Structures: Challenges, Limitations, and Recommendations

Cited by 27 publications

References 206 publications

A Review of Approaches for Mitigating Effects from Variable Operational Environments on Piezoelectric Transducers for Long-Term Structural Health Monitoring

A Review of Approaches for Mitigating Effects from Variable Operational Environments on Piezoelectric Transducers for Long-Term Structural Health Monitoring

The State of the Art of Artificial Intelligence Approaches and New Technologies in Structural Health Monitoring of Bridges

Enhanced Port Vulnerability Assessment Using Unmanned-Aerial-Vehicle-Based Structural Health Monitoring

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