A Feasibility Study on Timber Damage Detection Using Piezoceramic-Transducer-Enabled Active Sensing

Zhang, Jicheng; Huang, Yongshui; Zheng, Yu

doi:10.3390/s18051563

Cited by 41 publications

(32 citation statements)

References 70 publications

(70 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hay et al [71] applied an acoustic emission technique to monitor the connection parts of a bridge. In recent years, there is an emphasis on the monitoring of various structures in real time, and many innovative algorithms [72][73][74][75][76][77][78][79], sensors [14,80,81], and systems [82][83][84][85][86] have been developed for such a purpose. An AE sensor is normally small, and it can be easily attached to the host structure for real-time monitoring in a nondestructive way [81,[87][88][89][90].…”

Section: Introductionmentioning

confidence: 99%

Feasibility Study of Real-Time Monitoring of Pin Connection Wear Using Acoustic Emission

et al. 2018

View full text Add to dashboard Cite

Pin connections are one of the most important connecting forms and they have been widely used in engineering fields. In its service, pin connections are subject to wear, and it will be beneficial if the health condition of pin connections can be monitored in real time. In this paper, an acoustic emission (AE)-based method was developed to monitor wear degree of low rotational speed pin connections in real time in a nondestructive way. Most pin connections are operated at low rotational speed. To facilitate the research, an experimental apparatus to accelerate the wear test of low rotational speed pin connections was designed and fabricated. The piezoceramic AE sensor was mounted on the test apparatus in a nondestructive way, and it was capable of real-time monitoring. Accelerated wear tests of low rotational speed pin connections were conducted. To verify the results of the AE technique, a VHX-600E digital (from Keyence, Osaka, Japan) microscope was applied to observe the micrographs of the tested pins. The experimental results show that AE activity existed throughout the entire wear process, and it was the most prominent in the serious wear phase. The wear degree of the pin connections can be reflected qualitatively by the signal strength and the accumulative signal strength of the AE signals. In addition, two different wear forms can be distinguished by comparing the signal strength values of all specimens. Micrographs of all specimens confirm these results, and determine that the two wear forms include adhesive wear and abrasive wear. Furthermore, AE results demonstrated that adhesive wear is the main mode of wear for the low rotational speed pin connections, and the signal strength of the adhesive wear is around 190 times larger than that of abrasive wear. This feasibility study demonstrated that the developed acoustic emission technique can be utilized in the wear monitoring of pin connections in real time in a nondestructive way.

show abstract

Section: Introductionmentioning

confidence: 99%

Feasibility Study of Real-Time Monitoring of Pin Connection Wear Using Acoustic Emission

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Meanwhile, in active-sensing methods, at least one pair of transducers are needed: one functions as an actuator and the other functions as sensor [43,44]. Since active-sensing methods requires much lower sampling frequency than that of the EMI method, they have found many applications, such as bolt-connection [45] and timber monitoring [46].…”

Section: Piezoelectric Transducers and Active Sensing Based On Piezoementioning

confidence: 99%

Piezoceramic-Based Damage Monitoring of Concrete Structure for Underwater Blasting

Zhong

Xiong

2020

Sensors

View full text Add to dashboard Cite

This paper developed a piezoelectric-transducer-based damage detection of concrete materials after blasting. Two specimens (with or without an energy-relieving structure) were subjected to a 40 m deep-underwater blasting load in an underwater-explosion vessel, and their damage was detected by a multifunctional piezoelectric-signal-monitoring and -analysis system before and after the explosion. Statistical-data analysis of the piezoelectric signals revealed four zones: crushing, fracture, damage, and safe zones. The signal energy was analyzed and calculated by wavelet-packet analysis, and the blasting-damage index was obtained after the concrete specimen was subjected to the impact load of the underwater explosion. The damage of the two specimens gradually decreased from the blast hole to the bottom of the specimen. The damage index of the specimen with the energy-relieving structure differed for the fracture area and the damage area, and the damage protection of the energy-relieving structure was prominent at the bottom of the specimen. The piezoelectric-transducer-based damage monitoring of concrete materials is sensitive to underwater blasting, and with wavelet-packet-energy analysis, it can be used for postblasting damage detection and the evaluation of concrete materials.

show abstract

“…Among various mother wavelets, the family of Daubechies wavelets is orthogonal, compactly supported, and has good time-frequency localization property [44]. A Daubechies wavelet db2, which is widely used to analyze ultrasonic and vibration signals for structural damage detection [39,45,46], was applied as the mother wavelet function after trial and error in this study. A three-level WPT was determined to analyze the received signals after comparing the performance of different composition levels.…”

Section: Wptmentioning

confidence: 99%

Grouting Quality Evaluation in Post-Tensioning Tendon Ducts Using Wavelet Packet Transform and Bayes Classifier

Sun

et al. 2019

Sensors

View full text Add to dashboard Cite

The grouting quality of tendon ducts is very important for post-tensioning technology in order to protect the prestressing reinforcement from environmental corrosion and to make a smooth stress distribution. Unfortunately, various grouting defects occur in practice, and there is no efficient method to evaluate grouting compactness yet. In this study, a method based on wavelet packet transform (WPT) and Bayes classifier was proposed to evaluate grouting conditions using stress waves generated and received by piezoelectric transducers. Six typical grouting conditions with both partial grouting and cavity defects of different dimensions were experimentally investigated. The WPT was applied to explore the energy of received stress waves at multi-scales. After that, the Bayes classifier was employed to identify the grouting conditions, by taking the traditionally used total energy and the proposed energy vector of WPT components as input, respectively. The experimental results demonstrated that the Bayes classifier input with the energy vector could identify different grouting conditions more accurately. The proposed method has the potential to be applied at key spots of post-tensioning tendon ducts in practice.

show abstract

A Feasibility Study on Timber Damage Detection Using Piezoceramic-Transducer-Enabled Active Sensing

Cited by 41 publications

References 70 publications

Feasibility Study of Real-Time Monitoring of Pin Connection Wear Using Acoustic Emission

Feasibility Study of Real-Time Monitoring of Pin Connection Wear Using Acoustic Emission

Piezoceramic-Based Damage Monitoring of Concrete Structure for Underwater Blasting

Grouting Quality Evaluation in Post-Tensioning Tendon Ducts Using Wavelet Packet Transform and Bayes Classifier

Contact Info

Product

Resources

About