A stretchable and large-scale guided wave sensor network for aircraft smart skin of structural health monitoring

2019 ◽  
pp. 147592171985064 ◽  
Author(s):  
Yu Wang ◽  
Lei Qiu ◽  
Yijie Luo ◽  
Rui Ding
Keyword(s):  
Structural Health Monitoring ◽  
Sensor Network ◽  
Health Monitoring ◽  
Large Scale ◽  
Guided Wave ◽  
Structural Health ◽  
Smart Skin

scholarly journals Research on the Progress of Interdigital Transducer (IDT) for Structural Damage Monitoring

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Wang Ziping ◽  
Xiong Xiqiang ◽  
Qian Lei ◽  
Wang Jiatao ◽  
Fei Yue ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Structural Damage ◽  
Large Scale ◽  
Safety Information ◽  
Health And Safety ◽  
Guided Wave ◽  
Structural Safety ◽  
Structural Health ◽  
Damage Monitoring

In the application of Structural Health Monitoring (SHM) methods and related technologies, the transducer used for electroacoustic conversion has gradually become a key component of SHM systems because of its unique function of transmitting structural safety information. By comparing and analyzing the health and safety of large-scale structures, the related theories and methods of Structural Health Monitoring (SHM) based on ultrasonic guided waves are studied. The key technologies and research status of the interdigital guided wave transducer arrays which used for structural damage detection are introduced. The application fields of interdigital transducers are summarized. The key technical and scientific problems solved by IDT for Structural Damage Monitoring (SHM) are presented. Finally, the development of IDT technology and this research project are summarised.

Recent progress in aircraft smart skin for structural health monitoring

2021 ◽  
pp. 147592172110568
Author(s):  
Yu Wang ◽  
Shuguang Hu ◽  
Tao Xiong ◽  
Yongan Huang ◽  
Lei Qiu
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Large Scale ◽  
Research Progress ◽  
Structural Performance ◽  
Structural Health ◽  
Future Developments ◽  
Self Adaptation ◽  
Self Learning ◽  
Smart Skin

Through the integration of advanced sensors, actuators, and micro-processors, aircraft smart skin technology can improve the structural performance of aircraft and make them self-perception, self-diagnosis, self-adaptation, self-learning, and self-repair. Aircraft smart skin for structural health monitoring (SHM) is an important type of aircraft smart skin and has received extensive attention in recent years. Large-scale, lightweight, and low-power consumption are three key problems hindering the realization and engineering applications of aircraft smart skin for SHM. In view of these problems and restrictions of practical aircraft onboard applications, this article reviews the current research progress on aircraft smart skin for SHM, introduces their design, materials, manufacturing process, and monitoring principles in detail, and discusses how they study above problems from these aspects. Finally, perspectives are proposed on the opportunities and future developments of aircraft smart skin for SHM.

A Novel Self-Healing Optical Fiber Network

2013 ◽  
Vol 330 ◽  
pp. 553-560 ◽  
Author(s):  
Zhi Zhou ◽  
Jian Ping He ◽  
Jin Ping Ou ◽  
Hai Xiao
Keyword(s):  
Structural Health Monitoring ◽  
Optical Fiber ◽  
Sensor Network ◽  
Health Monitoring ◽  
Large Scale ◽  
Environmental Parameters ◽  
Sensor Nodes ◽  
Self Healing ◽  
Fiber Network ◽  
Structural Health

The safety and reliability of critical civil infrastructures have been a major concern in all countries around the world. However, structural health monitoring (SHM) still faces a number of challenges, particularly in the area of in-and post-disaster monitoring. In addition, due to the large scale in dimension and complexity in geometry of a typical civil structure, a large number of embedded sensors are required to measure various structural and environmental parameters under normal and extreme conditions. To enhance the survivability of a sensor network for life-cycle structural health monitoring (SHM), this paper presents a novel self-healing sensor network. One Spider Orb-Web or network and one hybrid optical fiber (OF) system by combining the local and distributed OF technologies are designed to enhance the functionality of self-healing. Furthermore, three local self-healing sensor nodes, which use light switches or couplers, are designed to maintain the measuring connectivity at hot stress point. Finally, A simple Brillouin sensing network with self-healing nodes is constructed and then validated by the strain measurements of a three-point bend beam. The results show that by using self-healing sensors nodes, the stress state of the RC beam can be successively detected, even when some sensors fail or when the sensing line is broken.

scholarly journals Infrared Thermography Measurement for Vibration-Based Structural Health Monitoring in Low-Visibility Harsh Environments

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7067
Author(s):  
Jia-Hao He ◽  
Ding-Peng Liu ◽  
Cheng-Hsien Chung ◽  
Hsin-Haou Huang
Keyword(s):  
Structural Health Monitoring ◽  
Infrared Thermography ◽  
Mode Shape ◽  
Health Monitoring ◽  
Large Scale ◽  
Frame Structure ◽  
Harsh Environments ◽  
Thermal Imager ◽  
Heat Sources ◽  
Structural Health

In this study, infrared thermography is used for vibration-based structural health monitoring (SHM). Heat sources are employed as sensors. An acrylic frame structure was experimentally investigated using the heat sources as structural marker points to record the vibration response. The effectiveness of the infrared thermography measurement system was verified by comparing the results obtained using an infrared thermal imager with those obtained using accelerometers. The average error in natural frequency was between only 0.64% and 3.84%. To guarantee the applicability of the system, this study employed the mode shape curvature method to locate damage on a structure under harsh environments, for instance, in dark, hindered, and hazy conditions. Moreover, we propose the mode shape recombination method (MSRM) to realize large-scale structural measurement. The partial mode shapes of the 3D frame structure are combined using the MSRM to obtain the entire mode shape with a satisfactory model assurance criterion. Experimental results confirmed the feasibility of using heat sources as sensors and indicated that the proposed methods are suitable for overcoming the numerous inherent limitations associated with SHM in harsh or remote environments as well as the limitations associated with the SHM of large-scale structures.

Sensor network paradigms for structural health monitoring

2006 ◽  
Vol 13 (1) ◽  
pp. 210-225 ◽  
Author(s):  
Charles R. Farrar ◽  
Gyuhae Park ◽  
David W. Allen ◽  
Mike D. Todd
Keyword(s):  
Structural Health Monitoring ◽  
Sensor Network ◽  
Health Monitoring ◽  
Structural Health
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