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A platform for research: civil engineering, architecture and urbanism
Directionally sensitive cement-based sensor using carbon nanotube and carbonyl iron powder (CNT@CIP)-based nanohybrid clusters
https://orcid.org/0000-0002-9342-0543
https://orcid.org/0009-0005-1390-891X
https://orcid.org/0000-0003-4280-2450
Abstract Cement-based sensors have been highlighted for using as structural health monitoring sensors; however, the conventional cement-based sensors can only detect the levels of applied loading not the direction of the loading. Therefore, this study proposes a new method for developing cement-based sensors which can detect the levels of applied loadings with their direction. The proposed method involves using carbon nanotube and carbonyl iron powder (CNT@CIP)-based nanohybrid clusters, which are added to the cement-based sensors during fabrication, and controlling their conductive networks through magnetization curing. The fabricated cement-based sensors are then tested for piezoresistive sensing. The experimental outcomes indicated directional sensitivity values of 3.12%, 2.47%, and 0.98%/MPa stress sensitivity in horizontal, random, and vertical sensors. In addition, their long-term sensing capabilities are predicted using a long short-term memory (LSTM) model. The findings of this study could be useful in developing multi-directional cement-basd sensors and predicting their long-term sensing capabilities.
Highlights Advanced cement-based sensors with orientation-controllable CNT@CIP nanohybrid clusters. Examine DC and AC electrical conductivity of sensors with different alignment directions. Utilize LSTM deep learning model to predict long-term piezoresistive sensing capabilities.
Directionally sensitive cement-based sensor using carbon nanotube and carbonyl iron powder (CNT@CIP)-based nanohybrid clusters
https://orcid.org/0000-0002-9342-0543
https://orcid.org/0009-0005-1390-891X
https://orcid.org/0000-0003-4280-2450
Abstract Cement-based sensors have been highlighted for using as structural health monitoring sensors; however, the conventional cement-based sensors can only detect the levels of applied loading not the direction of the loading. Therefore, this study proposes a new method for developing cement-based sensors which can detect the levels of applied loadings with their direction. The proposed method involves using carbon nanotube and carbonyl iron powder (CNT@CIP)-based nanohybrid clusters, which are added to the cement-based sensors during fabrication, and controlling their conductive networks through magnetization curing. The fabricated cement-based sensors are then tested for piezoresistive sensing. The experimental outcomes indicated directional sensitivity values of 3.12%, 2.47%, and 0.98%/MPa stress sensitivity in horizontal, random, and vertical sensors. In addition, their long-term sensing capabilities are predicted using a long short-term memory (LSTM) model. The findings of this study could be useful in developing multi-directional cement-basd sensors and predicting their long-term sensing capabilities.
Highlights Advanced cement-based sensors with orientation-controllable CNT@CIP nanohybrid clusters. Examine DC and AC electrical conductivity of sensors with different alignment directions. Utilize LSTM deep learning model to predict long-term piezoresistive sensing capabilities.
Directionally sensitive cement-based sensor using carbon nanotube and carbonyl iron powder (CNT@CIP)-based nanohybrid clusters
https://orcid.org/0000-0002-9342-0543
https://orcid.org/0009-0005-1390-891X
https://orcid.org/0000-0003-4280-2450
Abstract Cement-based sensors have been highlighted for using as structural health monitoring sensors; however, the conventional cement-based sensors can only detect the levels of applied loading not the direction of the loading. Therefore, this study proposes a new method for developing cement-based sensors which can detect the levels of applied loadings with their direction. The proposed method involves using carbon nanotube and carbonyl iron powder (CNT@CIP)-based nanohybrid clusters, which are added to the cement-based sensors during fabrication, and controlling their conductive networks through magnetization curing. The fabricated cement-based sensors are then tested for piezoresistive sensing. The experimental outcomes indicated directional sensitivity values of 3.12%, 2.47%, and 0.98%/MPa stress sensitivity in horizontal, random, and vertical sensors. In addition, their long-term sensing capabilities are predicted using a long short-term memory (LSTM) model. The findings of this study could be useful in developing multi-directional cement-basd sensors and predicting their long-term sensing capabilities.
Highlights Advanced cement-based sensors with orientation-controllable CNT@CIP nanohybrid clusters. Examine DC and AC electrical conductivity of sensors with different alignment directions. Utilize LSTM deep learning model to predict long-term piezoresistive sensing capabilities.
Directionally sensitive cement-based sensor using carbon nanotube and carbonyl iron powder (CNT@CIP)-based nanohybrid clusters
Jang, Daeik (author) / Bang, Jinho (author) / Yoon, H.N. (author) / Kim, Young-Kwan (author) / Lee, Jae Hyuk (author) / Yoon, Hyungchul (author) / Cheon, Se-Hyeon (author) / Yang, Beomjoo (author)
2023-11-06
Article (Journal)
Electronic Resource
English
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