Quantitative diagnosis method of beam defects based on laser Doppler non-contact random vibration measurement

Zhao, Shuanfeng; Li, Shijun; Guo, Wei; Zhang, Chuanwei; Cong, Bowen

doi:10.1016/j.measurement.2019.107271

Cited by 15 publications

(4 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Liarakos et al [8] applied laser scanner vibrometry to map structural damages in concrete specimens and evidenced discontinuities in the velocity signal linked to the presence of cracks. Zhao et al [9] combined vibration measurements and a convolutional neural network (CNN) to identify defects on a beam; this procedure could potentially be employed for real-time diagnosis. Also Muramatsu et al [10] used a CNN to detect cracks through the analysis of vibration data acquired by means of LDV, achieving an accuracy higher than 90% but also highlighting that experimental data are more hard to interpret with respect to those obtained through numerical simulations on finite element method (FEM) models.…”

Section: Introductionmentioning

confidence: 99%

Identification of damages in a concrete beam: a modal analysis based method

Cosoli,

Martarelli,

Mobili

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Structural Health monitoring (SHM) strategies can play a pivotal role in the perspective of enhancing structures and infrastructures life cycle and maintenance operations. A plethora of sensors and technologies can be employed in this field; in a seismic context, vibrational tests are particularly relevant, being able to give an insight on the dynamic characteristics of the structure itself. In particular, modal parameters can be considered in order to detect damages. A comparison between a certain test time and 0 test time (i.e., undamaged structure) is commonly performed; to this aim numerical models result particularly useful to provide baseline data (often unavailable in pre-existing structures), but they need to be validated before use. Non-contact techniques, like scanning laser Doppler vibrometry, can be exploited to do this. In this paper a numerical model of a scaled concrete beam is realized and validated through LDV data, then it is used to design load tests for progressive damages generation. Modal analysis is conducted after different load trials to evaluate changes of modal parameters in relation to the damage occurred; also, damage-related indices are proposed. The results confirmed the suitability of LDV for dynamic analyses of cement-based structures and this can be particularly useful when big structures (e.g., bridges) have to be monitored in-field. The numerical model was validated with acceptable absolute errors in terms of natural frequencies (between 26 Hz and 131 Hz) and high Modal Assurance Criterion (MAC) values (0.85-0.93). Moreover, the proposed methodology allows to detect damages also in a concise way through synthetic indices (with changes >50% in damaged vs undamaged conditions) and early warnings could be generated according to their values, hence supporting decision-making procedures in the building management scenario.

show abstract

Section: Introductionmentioning

confidence: 99%

Identification of damages in a concrete beam: a modal analysis based method

Cosoli,

Martarelli,

Mobili

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…Zhao et al. 52 presented a method based on laser Doppler to obtain the vibration time-domain signal of cantilevers, and adopted fast Fourier, continuous wavelet transform, and convolutional neural network methods to identify defects. Based on the experimental results, the average accuracy is 90.6%.…”

Section: Introductionmentioning

confidence: 99%

A cantilever-structure triboelectric nanogenerator for energy harvesting and defect detection via long short-term memory network

Xin¹,

Xu²,

Gong³

et al. 2022

iScience

View full text Add to dashboard Cite

“…Many researchers choose to use this optic sensors and data acquisition systems (Polytech or KEYENCE) to measure the vibration amplitude. However, the optical method is unsuitable for collecting vibration samples in real time in harsh working environment, as well as in a confined space, such as in water, fog, smog and tool tip when engaged with the material [18]. Moreover, this expensive testing method has a limited access in industrial application.…”

Section: Introductionmentioning

confidence: 99%

An automated monitoring strategy for ultrasonic amplitude prediction of piezoelectric transducer

Zhao

et al. 2022

Measurement

View full text Add to dashboard Cite

Quantitative diagnosis method of beam defects based on laser Doppler non-contact random vibration measurement

Cited by 15 publications

References 41 publications

Identification of damages in a concrete beam: a modal analysis based method

Identification of damages in a concrete beam: a modal analysis based method

A cantilever-structure triboelectric nanogenerator for energy harvesting and defect detection via long short-term memory network

An automated monitoring strategy for ultrasonic amplitude prediction of piezoelectric transducer

Contact Info

Product

Resources

About