Elastic Wave Measurement Using a MEMS AE Sensor

A test specimen representing a scaled reinforced concrete frame structure with hysteretic dampers was subjected to sequential seismic simulations of incremental peak acceleration on a 3 × 3 m2 shaking table. From this specimen, two beam–column connections—one exterior and one interior—were continuously monitored with wideband low-frequency acoustic emission sensors properly attached on the structure. Complementing other Non-Destructive Testing (NDT) methods, acoustic emission has proven to be a reliable technology for structural health monitoring within a predictive maintenance program. In particular, it was found that the accumulated energy of acoustic emission signals—properly filtered by means of the root mean squared and the spectral partial power of the waveforms in order to avoid the influence of secondary sources—correlated well with the plastic strain energy released by the specimen. Moreover, the use of the rise angle and average frequency of the filtered acoustic emission signals allowed for successful discernment between tensile and shear cracks in the concrete. The acoustic emission energy associated with shear cracks was found to be substantially lesser than that corresponding to tensile crack. This observation is consistent with the fact that the beams and column of the tested reinforced concrete frame were designed under modern codes aimed at preventing the brittle shear failure of members.

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“…It stands as a promising alternative to the existing vibration sensors, including AE sensors. 43,44…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Health monitoring of reinforced concrete structures with hysteretic dampers subjected to dynamical loads by means of the acoustic emission energy

Cortés

Suárez

Gallego

et al. 2018

Structural Health Monitoring

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“…FOS 6. MEMS (Strain monitoring [58]) (Assessment performance and condition [130], SHM [91,92,131]) 7. ICT, AI 7.…”

Section: Application Of Information Technologies In Different Phasesmentioning

confidence: 99%

The Application of Advanced Information Technologies in Civil Infrastructure Construction and Maintenance

Guo

et al. 2022

Sustainability

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Information technologies have widely been used in the construction and maintenance of civil infrastructure. The advantages of information technologies provided a broader range of methods for infrastructure and enhanced its level of maintenance. However, a systematic summary of the research development of information technologies used in civil infrastructure is limited. This study aims to supplement this field by providing an objective, systematic summary of relevant literature in mainstream journals employing bibliometric retrieval and quantitative analysis from 2010 to 2020. The following results are obtained: (1) This study discusses the application of advanced information technologies in different phases and provides a critical analysis of the application of these existing information technologies, which includes wireless sensor networks (WSN), fiber optic sensing (FOS), building information modelling (BIM), radio frequency identification (RFID) and other advanced information technologies. (2) The digital twins can be used as tools for the planning and management of next-generation smart infrastructure, making the future of civil infrastructure smarter and more sustainable.

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“…The most important components of nasometric instruments are the microphones that collect external sound signals and transmit them to the signal processing device. The microphones are required to have excellent sensitivity and a wide frequency band as input devices [12][13][14]. Figure 2 is an experimental block diagram for analyzing the microphone characteristics using the nasometric instrument structure, and a photograph of the experimental environment is shown in Figure 3.…”

Section: Characteristics and Structure Of The Nasometric Instrumentmentioning

confidence: 99%

Influence of the Nasometric Instrument Structure on Nasalance Score

Woo

Park

et al. 2019

Applied Sciences

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Owing to the development of medical technology, devices to assess resonance (hypernasality and hyponasality) which result from conditions such as cleft palate and brain injury are being studied. In general, nasometric instruments are used to support clinical judgments of these disorders. For conventional separation-type nasometric instruments, there is an acoustic feedback effect between oral and nasal sounds. Recently, a mask-type nasometric instrument was developed for acoustic feedback insensitivity, but it has not yet been popularized. In this study, we analyzed the acoustic characteristics of the mask-type structure according to existing nasometric instruments. We evaluated the acoustic collection characteristics of the structure through the lumped-element model with an electromechanical-equivalent circuit. The analysis confirmed that the optimum area of the acoustic hole was obtained and a closed-type mask structure could be designed. In addition, we obtained voice data from a healthy control group and examined significant differences in the structure of the separation-type and mask-type nasometric instruments. Consequently, we confirmed a significant difference in nasalance according to the acoustic collection structure of the nasometric instruments.

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Elastic Wave Measurement Using a MEMS AE Sensor

Cited by 10 publications

References 12 publications

Health monitoring of reinforced concrete structures with hysteretic dampers subjected to dynamical loads by means of the acoustic emission energy

Health monitoring of reinforced concrete structures with hysteretic dampers subjected to dynamical loads by means of the acoustic emission energy

The Application of Advanced Information Technologies in Civil Infrastructure Construction and Maintenance

Influence of the Nasometric Instrument Structure on Nasalance Score

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