scholarly journals A high-sensitivity and fast-response nanocomposites-inspired sensor for acousto-ultrasonics-based structural health monitoring

2017 ◽  
Author(s):  
Yaozhong Liao ◽  
Feng Duan ◽  
Limin Zhou ◽  
Zhongqing Su
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
High Sensitivity ◽  
Fast Response ◽  
Structural Health

scholarly journals Development of a High-Sensitivity Wireless Accelerometer for Structural Health Monitoring

Sensors ◽  
2018 ◽  
Vol 18 (1) ◽  
pp. 262 ◽  
Author(s):  
Li Zhu ◽  
Yuguang Fu ◽  
Raymond Chow ◽  
Billie Spencer ◽  
Jong Park ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
High Sensitivity ◽  
Structural Health ◽  
Wireless Accelerometer

scholarly journals Advances in the Structural Health Monitoring of Bridges Using Piezoelectric Transducers

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4312 ◽  
Author(s):  
Yunzhu Chen ◽  
Xingwei Xue
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Piezoelectric Materials ◽  
Low Cost ◽  
Rapid Development ◽  
Concrete Strength ◽  
Steel Corrosion ◽  
Fast Response ◽  
Future Application ◽  
Structural Health

With the rapid development of the world’s transportation infrastructure, many long-span bridges were constructed in recent years, especially in China. However, these bridges are easily subjected to various damages due to dynamic loads (such as wind-, earthquake-, and vehicle-induced vibration) or environmental factors (such as corrosion). Therefore, structural health monitoring (SHM) is vital to guarantee the safety of bridges in their service lives. With its wide frequency response range, fast response, simple preparation process, ease of processing, low cost, and other advantages, the piezoelectric transducer is commonly employed for the SHM of bridges. This paper summarizes the application of piezoelectric materials for the SHM of bridges, including the monitoring of the concrete strength, bolt looseness, steel corrosion, and grouting density. For each problem, the application of piezoelectric materials in different research methods is described. The related data processing methods for four types of bridge detection are briefly summarized, and the principles of each method in practical application are listed. Finally, issues to be studied when using piezoelectric materials for monitoring are discussed, and future application prospects and development directions are presented.

Develoment of high-sensitivity wireless strain sensor for structural health monitoring

2013 ◽  
Vol 11 (5) ◽  
pp. 477-496 ◽  
Author(s):  
Hongki Jo ◽  
Jong-Woong Park ◽  
B.F. Jr. Spencer ◽  
Hyung-Jo Jung
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Strain Sensor ◽  
High Sensitivity ◽  
Structural Health

Development of high-sensitivity accelerometer board for structural health monitoring

2010 ◽  
Author(s):  
Hongki Jo ◽  
Jennifer A. Rice ◽  
Billie F. Spencer, Jr. ◽  
Tomonori Nagayama
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
High Sensitivity ◽  
Structural Health

scholarly journals Development of Synchronized High-Sensitivity Wireless Accelerometer for Structural Health Monitoring

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4169 ◽  
Author(s):  
Shaik Althaf Veluthedath Shajihan ◽  
Raymond Chow ◽  
Kirill Mechitov ◽  
Yuguang Fu ◽  
Tu Hoang ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Time Synchronization ◽  
High Sensitivity ◽  
Micro Electro Mechanical System ◽  
Low Noise ◽  
Direct Access ◽  
Data Sampling ◽  
Structural Health ◽  
Startup Time

The use of digital accelerometers featuring high sensitivity and low noise levels in wireless smart sensors (WSSs) is becoming increasingly common for structural health monitoring (SHM) applications. Improvements in the design of Micro Electro-Mechanical System (MEMS) based digital accelerometers allow for high resolution sensing required for SHM with low power consumption suitable for WSSs. However, new approaches are needed to synchronize data from these sensors. Data synchronization is essential in wireless smart sensor networks (WSSNs) for accurate condition assessment of structures and reduced false-positive indications of damage. Efforts to achieve synchronized data sampling from multiple WSS nodes with digital accelerometers have been lacking, primarily because these sensors feature an internal Analog to Digital Converter (ADC) to which the host platform has no direct access. The result is increased uncertainty in the ADC startup time and thus worse synchronization among sensors. In this study, a high-sensitivity digital accelerometer is integrated with a next-generation WSS platform, the Xnode. An adaptive iterative algorithm is used to characterize these delays without the need for a dedicated evaluation setup and hardware-level access to the ADC. Extensive tests are conducted to evaluate the performance of the accelerometer experimentally. Overall time-synchronization achieved is under 15 µs, demonstrating the efficacy of this approach for synchronization of critical SHM applications.

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