scholarly journals A SA-Based Wireless Seismic Stress Monitoring System for Concrete Structures

2013 ◽  
Vol 9 (11) ◽  
pp. 978313 ◽  
Author(s):  
S. Hou ◽  
Y. Yu ◽  
H. B. Zhang ◽  
X. Q. Mao ◽  
J. P. Ou
2017 ◽  
Vol 28 (17) ◽  
pp. 2428-2436 ◽  
Author(s):  
Haibin Zhang ◽  
Shuang Hou ◽  
Jinping Ou

Piezoelectric-based seismic stress monitoring provides an innovative approach to assessing the health of concrete structures during earthquakes. In this research, we evaluate the application of piezoelectric-based smart aggregate (SA) sensors for monitoring the seismic stress on high-strength concrete columns. The principle behind using smart aggregates for seismic stress monitoring is based on the assumption that concrete stress can be reliably predicted by the average output voltages of a limited number of embedded smart aggregates within an acceptable margin of error. This experiment is designed to evaluate the effects of meso-scale randomness on high-strength concrete and the effects of different loading paths on the proposed smart aggregate. Loading–unloading loops of increasing amplitude at the nonlinear stage and monotonic loading to failure were carried out on four high-strength concrete cylinders. Each specimen had six smart aggregates embedded. A statistical analysis based on the test results determined the sensitivity curve during the loading–unloading and the full-range damage processes. Monitoring errors of concrete stress monitored by smart aggregate during the pre- and post-peak stages were also discussed. The research concludes that there is the potential for deploying smart aggregate in engineering applications to monitor seismic stress on high-strength concrete structures.


2018 ◽  
Vol 10 ◽  
pp. 25-32 ◽  
Author(s):  
E. Cheilakou ◽  
N. Tsopelas ◽  
A. Anastasopoulos ◽  
D. Kourousis ◽  
D. Rychkov ◽  
...  

2009 ◽  
Author(s):  
Ivan Bartoli ◽  
Claudio Nucera ◽  
Ankit Srivastava ◽  
Salvatore Salamone ◽  
Robert Phillips ◽  
...  

2016 ◽  
Vol 78 (5) ◽  
Author(s):  
Shahiron Shahidan ◽  
Siti Radziah Abdullah ◽  
Isham Ismail

The most efficient tools in real monitoring system is acoustic emission (AE). This technique can be used to identify the damage classifications in RC structure. This research paper will mainly focus on the utilization of signal strength and Absolute energy (AE signal) in determining on the damage quantification for RC beam subjected to cyclic load test. The beam specimens size (150 X 250 X 1900) mm were prepared in the laboratory and tested with the four point bending test using cyclic loading together with acoustic emission monitoring system. The results showed that the analysis of AE data parameters is capable of determining the damage classification in concrete structures and the data corresponded to the visual observations during the increased loading cycle.


2016 ◽  
Vol 63 (3) ◽  
pp. 184-189
Author(s):  
Mingming Xiao ◽  
Shilong Zhang ◽  
Yanbing Tang ◽  
Zhongmao Lin ◽  
Jiahong Chen

Purpose This study aims to explore the effect of corrosion monitoring technology for ensuring concrete structure safety. Design/methodology/approach A new monitoring system scheme with unattended operation to evaluate the durability of concrete structures is presented, which includes four components, namely, a multi-function embedded sensor, a microprocessor data collecting module, a system data analysis and storage module, and a remote server module. Findings The system carries out monitoring of chloride ion concentration and pH in concrete, corrosion current density and of the self-corrosion potential of the reinforcing steel bar. Originality/value This system provides real-time, online, lossless monitoring for concrete structures.


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