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.

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.

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.

scholarly journals A multi-way data analysis approach for structural health monitoring of a cable-stayed bridge

2018 ◽  
Vol 18 (1) ◽  
pp. 35-48 ◽  
Author(s):  
Mehrisadat Makki Alamdari ◽  
Nguyen Lu Dang Khoa ◽  
Yang Wang ◽  
Bijan Samali ◽  
Xinqun Zhu
Keyword(s):  
Data Analysis ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Large Scale ◽  
Damage Identification ◽  
Tensor Analysis ◽  
Support Vector ◽  
Damage Scenarios ◽  
Structural Health ◽  
Cable Stayed Bridge

A large-scale cable-stayed bridge in the state of New South Wales, Australia, has been extensively instrumented with an array of accelerometer, strain gauge, and environmental sensors. The real-time continuous response of the bridge has been collected since July 2016. This study aims at condition assessment of this bridge by investigating three aspects of structural health monitoring including damage detection, damage localization, and damage severity assessment. A novel data analysis algorithm based on incremental multi-way data analysis is proposed to analyze the dynamic response of the bridge. This method applies incremental tensor analysis for data fusion and feature extraction, and further uses one-class support vector machine on this feature to detect anomalies. A total of 15 different damage scenarios were investigated; damage was physically simulated by locating stationary vehicles with different masses at various locations along the span of the bridge to change the condition of the bridge. The effect of damage on the fundamental frequency of the bridge was investigated and a maximum change of 4.4% between the intact and damage states was observed which corresponds to a small severity damage. Our extensive investigations illustrate that the proposed technique can provide reliable characterization of damage in this cable-stayed bridge in terms of detection, localization and assessment. The contribution of the work is threefold; first, an extensive structural health monitoring system was deployed on a cable-stayed bridge in operation; second, an incremental tensor analysis was proposed to analyze time series responses from multiple sensors for online damage identification; and finally, the robustness of the proposed method was validated using extensive field test data by considering various damage scenarios in the presence of environmental variabilities.

Passive Structural Health Monitoring Applied to a Wind Turbine Model

2009 ◽  
Author(s):  
Kyle Bassett ◽  
Rupp Carriveau ◽  
David S.-K. Ting
Keyword(s):  
Structural Health Monitoring ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Health Monitoring ◽  
Large Scale ◽  
Residual Error ◽  
Series Data ◽  
Vibration Signals ◽  
Structural Health ◽  
Monitoring Technique

Structural health monitoring is a technique devised to monitor the structural conditions of a system in an attempt to take corrective measures before the system fails. A passive structural health monitoring technique is presented, which serves to leverage historic time series data in order to both detect and localize damage on a wind turbine blade aerodynamic model. First, vibration signals from the healthy system are recorded for various input conditions. The data is normalized and auto-regressive (AR) coefficients are determined in order to uniquely identify the normal behavior of the system for each input condition. This data is then stored in a healthy state database. When the structural condition of the system is unknown the vibration signals are acquired, normalized and identified by their AR coefficients. Damage is detected through the residual error which is calculated as the difference between the AR coefficients of the unknown and healthy structural conditions. This technique is tailored for wind turbines and the application of this approach is demonstrated in a wind tunnel using a small turbine blade held with four springs to create a dual degree-of-freedom system. The vibration signals from this system are characterized by free-stream speed. Damage is replicated through mass addition on each of the blades ends and is located by an increase in residual error from the accelerometer mounted closest to the damaged area. The outlined procedure and demonstration illustrate a single stage structural health monitoring technique that, when applied on a large scale, can avoid catastrophic turbine disasters and work to effectively reduce the maintenance costs and downtime of wind farm operations.

scholarly journals Connecting concrete technology and machine learning: proposal for application of ANNs and CNT/concrete composites in structural health monitoring

RSC Advances ◽  
2020 ◽  
Vol 10 (39) ◽  
pp. 23038-23048
Author(s):  
Sofija Kekez ◽  
Jan Kubica
Keyword(s):  
Machine Learning ◽  
Carbon Nanotube ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Large Scale ◽  
Concrete Structures ◽  
Concrete Technology ◽  
Structural Health

Carbon nanotube/concrete composite possesses piezoresistivity i.e. self-sensing capability of concrete structures even in large scale.

scholarly journals Infrastructure Stakeholders’ Perspective in Development and Implementation of New Structural Health Monitoring (SHM) Technologies for Maintenance and Management of Transportation Infrastructure

2019 ◽  
Vol 271 ◽  
pp. 01010 ◽  
Author(s):  
Dilendra Maharjan ◽  
Marlon Agüero ◽  
Chris Lippitt ◽  
Fernando Moreu
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
New Technologies ◽  
Low Cost ◽  
New Technology ◽  
Research Progress ◽  
Bottom Line ◽  
Structural Health ◽  
Economic Output ◽  
Infrastructure Maintenance

Infrastructure is the backbone of the US economy and a necessary input to every economic output [1]. The cost of infrastructure maintenance and management demands significant expense for government and private companies. Infrastructure owners want to increase efficiency and improve their bottom-line from existing infrastructure rather than building new ones [2]. One of the significant challenges for the engineering community has been adopting new technologies such as low-cost wireless smart sensors, augmented reality, Unmanned Aerial System (UAS)-based Structural Health Monitoring (SHM). To receive first-hand insight from infrastructure owners, industry professionals and researchers, a workshop entitled ‘Infrastructure, Maintenance and Management Using New Technology’ was conducted in Fort Worth, Texas. In this paper the findings from the workshop are discussed. Stakeholders highlighted safety of the bridge inspectors as the priority in the maintenance and management work. Based on the findings of this workshop it now clear that adopting new technologies leads to higher safety for field inspectors. Key aspects include importance of new technologies for obtaining actionable data for maintenance and management, owner’s perspectives on development of future technologies, current research progress and challenges faced by infrastructure industry in implementing new technologies are presented.

Design of Structural Health Monitoring System Based on WSNs

2014 ◽  
Vol 681 ◽  
pp. 47-50
Author(s):  
Yue Zhou ◽  
Shuai Liu ◽  
Li Xin Zhang
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Large Scale ◽  
State Of The Art ◽  
Health Monitoring System ◽  
Structural Health ◽  
Structural Health Monitoring System ◽  
Large Scale Networks ◽  
Monitoring Application

The structural health monitoring technology has been one of the most important issues. In this paper, the design of wireless sensor network for structural health monitoring application is studied. The basic concept, significance, state of the art of structural health monitoring, the architecture and the principle of the wireless structural health monitoring system are described. The hardware and software of the overall system are designed and built. The WLANonSAN architecture network is particularly proposed as a solution for the large-scale networks.

An Improved Design Based on Smart Film for Monitoring Crack Width of Concrete Bridges

2011 ◽  
Vol 308-310 ◽  
pp. 2478-2481
Author(s):  
Xing Xing Li ◽  
Ben Niu Zhang ◽  
Zhi Xiang Zhou ◽  
Lian Tang
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Crack Width ◽  
Large Scale ◽  
Concrete Bridges ◽  
Challenging Problem ◽  
Structural Health ◽  
Crack Monitoring ◽  
Improved Design

Structural health monitoring is a promising way for evaluating the integrity and safety of large-scale bridges, and crack monitoring is thought to be a challenging problem in this field. An improved design based on smart film for monitoring crack width of concrete bridges is proposed in this paper. Experiments are also implemented to verify the effectiveness of this design.

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