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A platform for research: civil engineering, architecture and urbanism
Internal deformation monitoring of granular material using intelligent aggregate
Abstract Particle motion is the critical factor leading to the internal deformation of granular materials. However, relying on conventional techniques to monitor particle motion in internal deformation of granular materials has limitations. This study presents a novel method to monitor the internal movement of granular materials using intelligent aggregate. The intelligent aggregate packaging structure is fabricated through industrial CT technology and 3D printing. The six position method and fast fourier transform method are used to eliminate the measurement error caused by the packaging structure and the rutting tester vibration noise respectively. The results show that intelligent aggregate could maintain good linkage with surrounding aggregates under load, and the fine aggregates have a greater impact on the stability of the coarse aggregate skeleton. This method based on intelligent aggregates provides a basic technology for further real-time monitoring of granular material properties.
Highlights An intelligent aggregate is developed using industrial CT and 3D printing. A method is adopted to improve intelligent aggregate acceleration accuracy. Rutting instrument vibration noise is eliminated using fast fourier transform. An method is proposed to evaluate internal deformation of granular material. The method perform excellently in monitor of aggregates skeleton deformation.
Internal deformation monitoring of granular material using intelligent aggregate
Abstract Particle motion is the critical factor leading to the internal deformation of granular materials. However, relying on conventional techniques to monitor particle motion in internal deformation of granular materials has limitations. This study presents a novel method to monitor the internal movement of granular materials using intelligent aggregate. The intelligent aggregate packaging structure is fabricated through industrial CT technology and 3D printing. The six position method and fast fourier transform method are used to eliminate the measurement error caused by the packaging structure and the rutting tester vibration noise respectively. The results show that intelligent aggregate could maintain good linkage with surrounding aggregates under load, and the fine aggregates have a greater impact on the stability of the coarse aggregate skeleton. This method based on intelligent aggregates provides a basic technology for further real-time monitoring of granular material properties.
Highlights An intelligent aggregate is developed using industrial CT and 3D printing. A method is adopted to improve intelligent aggregate acceleration accuracy. Rutting instrument vibration noise is eliminated using fast fourier transform. An method is proposed to evaluate internal deformation of granular material. The method perform excellently in monitor of aggregates skeleton deformation.
Internal deformation monitoring of granular material using intelligent aggregate
Tan, Yiqiu (author) / Liang, Zundong (author) / Xu, Huining (author) / Xing, Chao (author)
2022-04-14
Article (Journal)
Electronic Resource
English
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