Redirigiendo al acceso original de articulo en 23 segundos...
Inicio  /  Acoustics  /  Vol: 4 Par: 1 (2022)  /  Artículo
ARTÍCULO
TITULO

Analysis of Sensitivity of Distance between Embedded Ultrasonic Sensors and Signal Processing on Damage Detectability in Concrete Structures

Joyraj Chakraborty    
Xin Wang and Marek Stolinski    

Resumen

Damage detection of reinforced concrete (RC) structures is becoming a more attractive domain due to the safety issues arising in the last few decades. The damage in concrete can be caused by excessive exploitation of the structure or environmental effects. The cracks in concrete can be detected by different nondestructive testing methods. However, the available methods used for this purpose have numerous limitations. The technologies available in the market nowadays have difficulties detecting slowly progressive, locally limited damage. In addition, some of these methods cannot be applied, especially in hard-to-reach areas in the superstructures. In order to avoid these deficiencies, an embedded ultrasonic methodology can be used to detect cracks in RC structures. In this study, the methodology of crack detection supported with the advanced signal processing algorithm was proposed and verified on RC structures of various types, and cracks occurring between embedded sensors can be detected. Moreover, different pairs of ultrasonic sensors located in the considered structures are used for the analysis of the sensitivity of distance between them. It is shown that the ultrasonic sensors placed in the range of 1.5?2 m can detect cracks, even when the other methods failed to detect changes in the structure. The obtained results confirmed that diffuse ultrasonic sensor methodology is able to monitor real structures more effectively than traditional techniques.

 Artículos similares

       
 
Hossein Salehi, Saeid Gharechelou, Saeed Golian, Mohammadreza Ranjbari and Babak Ghazi    
Hydrological modeling is essential for runoff simulations in line with climate studies, especially in remote areas with data scarcity. Advancements in climatic precipitation datasets have improved the accuracy of hydrological modeling. This research aims... ver más
Revista: Water

 
Bingyu Zhang, Yingtang Wei, Ronghua Liu, Shunzhen Tian and Kai Wei    
The calibration and validation of hydrological model simulation performance and model applicability evaluation in Gansu Province is the foundation of the application of the flash flood early warning and forecasting platform in Gansu Province. It is diffi... ver más
Revista: Water

 
Martina Hauser, Stefan Reinstaller, Martin Oberascher, Dirk Muschalla and Manfred Kleidorfer    
Owing to climate change, heavy rainfall events have increased in recent years, often resulting in urban flooding. Urban flood models usually consider buildings to be closed obstacles, which is not the case in reality. To address this research gap, an exi... ver más
Revista: Water

 
Fajia Zheng, Bin Zhang, Yuqiong Zhao, Jiakun Li, Fei Long and Qibo Feng    
Key errors of machine tools have a significant impact on their accuracy, however accurately and quickly measuring the geometric errors of machine tools is essential for key error identification. Fortunately, a quick and direct laser measurement method an... ver más
Revista: Applied Sciences

 
Ping Xiao and Haiyan Wang    
In response to the optimal operation of ocean container ships, this paper presents a two-level planning model that takes into account carbon tax policies. This model translates the CO2 emissions of ships into carbon tax costs and aims to minimize the ove... ver más
Revista: Applied Sciences