Time Reverse Modeling of Damage Detection in Underwater Concrete Beams Using Piezoelectric Intelligent Modules

Liang, Jiachen; Chen, Bin; Shao, Chenfei; Li, Jianming; Wu, Bangbin

doi:10.3390/s20247318

Cited by 17 publications

(7 citation statements)

References 34 publications

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“…The proposed method could be applied to localize damage in concrete plates of arbitrary geometric shapes. Liang et al [ 128 ] employed time reversal of the stress wave field in concrete beam specimens, focusing on the crack region, and ultimately identified the damaged areas by accumulating the distribution of energy at each time step. But when there are fewer embedded PZT transducers, spatial resolution decreases.…”

Section: Piezoelectric Transducers Monitoringmentioning

confidence: 99%

A Review on Concrete Structural Properties and Damage Evolution Monitoring Techniques

Zhang,

Peng,

Wen

et al. 2024

Sensors

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Concrete structures have emerged as some of the most extensively utilized materials in the construction industry due to their inherent plasticity and high-strength characteristics. However, due to the temperature fluctuations, humidity, and damage caused by human activities, challenges such as crack propagation and structural failures pose threats to the safety of people’s lives and property. Meanwhile, conventional non-destructive testing methods are limited to defect detection and lack the capability to provide real-time monitoring and evaluating of concrete structural stability. Consequently, there is a growing emphasis on the development of effective techniques for monitoring the health of concrete structures, facilitating prompt repairs and mitigation of potential instabilities. This paper comprehensively presents traditional and novel methods for concrete structural properties and damage evolution monitoring, including emission techniques, electrical resistivity monitoring, electromagnetic radiation method, piezoelectric transducers, ultrasonic techniques, and the infrared thermography approach. Moreover, the fundamental principles, advantages, limitations, similarities and differences of each monitoring technique are extensively discussed, along with future research directions. Each method has its suitable monitoring scenarios, and in practical applications, several methods are often combined to achieve better monitoring results. The outcomes of this research provide valuable technical insights for future studies and advancements in the field of concrete structural health monitoring.

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Section: Piezoelectric Transducers Monitoringmentioning

confidence: 99%

A Review on Concrete Structural Properties and Damage Evolution Monitoring Techniques

Zhang,

Peng,

Wen

et al. 2024

Sensors

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“…However, when applied to concrete, higher frequencies also result in more pronounced attenuation (material damping) and scattering. Concrete can be considered a low-pass filter, with a cut-off frequency believed to be approximately 400 kHz according to Liang et al (2020). Beyond this cut-off frequency, elastic wave propagation becomes extremely challenging due to the high damping properties of concrete.…”

Section: Frequency-dependent Attenuation Coefficients In Concretementioning

confidence: 99%

Attenuation characteristics of concrete using smart aggregate transducers: Experiments and numerical simulations of P-wave propagation

Sun,

Fan,

Liu

2024

Journal of Intelligent Material Systems and Structures

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Concrete is a highly heterogeneous construction material. Waves that propagate through concrete face significant reflection, scattering, and attenuation issues. Understanding the behavior of waves as they propagate through concrete and arrive at a sensor has generated much attention, especially for developing real-world field applications. In this study, a predictive model of attenuated P-wave propagation using Rayleigh damping is presented. The method used frequency excitations ranging from 20 to 200 kHz and smart aggregates (SAs) were embedded in a concrete specimen to excite and receive P-waves. Moreover, 10 distances were marked opposite the exciter at two propagation paths. In the simulations and experiments, signal processing methods were utilized to extract the first arrival packet for calculating amplitude attenuation. The P-wave damping coefficient was modeled using the multi-physical finite element method, and the results of the predictive model were compared with the experimental results. A discussion on the utilization of frequency-dependent attenuation coefficients was conducted to explore potential P-wave attenuation factors and their respective contributions to the overall attenuation. Numerical studies have demonstrated a strong correlation with the experiments when an appropriate level of material damping coefficient was considered. By enhancing the overall comprehension of the P-wave damping coefficient and attenuation characteristics within concrete, damage detection techniques based on P-waves can be improved.

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“…A recognized solution for overcoming the disadvantage of the methods mentioned above is the embedded transducer-based damage imaging method [34,35]. In terms of this topic, we utilized the delay and sum (DAS) imaging method and embedded piezoceramic transducers to achieve concrete damage detection and location [34].…”

Section: Introductionmentioning

confidence: 99%

High accuracy and resolution damage detection for concrete based on novel virtual correlation imaging method and embedded piezoelectric sensing technology

Zhang,

Gao

2023

Smart Mater. Struct.

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This paper presents a novel virtual correlation imaging (VCI) method to reduce the adverse effects of stress wave distortion and realize high accuracy and resolution damage imaging based on the sparse stress wave data collected by embedded piezoceramic transducers. Specifically, a compensation function is first constructed in the VCI method based on the frequency response characteristic of damage-induced scattering signals. Then, the constructed compensation function is emitted as the virtual excitation signal in the simulation space via virtual channels. To automatically compensate for the effect of waveform distortion, a virtual correlation operator is developed based on the scattering signal and its corresponding virtual received signal to design the imaging function. Finally, the practicability of the proposed VCI method is investigated on a concrete specimen with two successively drilling holes under laboratory conditions. The results indicate that, compared with the conventional damage imaging methods, the proposed VCI method can effectively decrease the adverse effect of distorted probing stress waves on damage localization accuracy and spatial resolution during the imaging process.

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Time Reverse Modeling of Damage Detection in Underwater Concrete Beams Using Piezoelectric Intelligent Modules

Cited by 17 publications

References 34 publications

A Review on Concrete Structural Properties and Damage Evolution Monitoring Techniques

A Review on Concrete Structural Properties and Damage Evolution Monitoring Techniques

Attenuation characteristics of concrete using smart aggregate transducers: Experiments and numerical simulations of P-wave propagation

High accuracy and resolution damage detection for concrete based on novel virtual correlation imaging method and embedded piezoelectric sensing technology

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