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Title: | Extracting piezoresistive response of self-sensing cementitious composites under temperature effect via Bayesian blind source separation | Authors: | Ding, S Xu, C Ni, YQ Han, B |
Issue Date: | Jun-2021 | Source: | Smart materials and structures, June 2021, v. 30, no. 6, 065010 | Abstract: | Self-sensing cementitious composite (SSCC) has been viewed as a promising sensing technology for structural health monitoring and traffic detection on account of its high sensitivity, low cost, long-term stability and compatibility with concrete structures. However, temperature variation effects in the electrical resistance measurements would impede the potential application of SSCC. It is therefore of great significance to understand the temperature effects on the piezoresistive performance of SSCC and eliminate such effects. In this study, temperature effects on the electrical and piezoresistive properties of SSCCs with different contents of carbon nanotube/nano carbon black (CNT/NCB) composite fillers are investigated under varying temperatures ranging from −20 °C to 60 °C and under concurrent temperature and loading variations. Experimental results show that an increase in CNT/NCB composite filler content can decrease the activation energy of SSCC and facilitate the transport of the charge carriers, thus attenuating the sensitivity of SSCC to temperature. Temperature variation has no effect on the piezoresistive repeatability of SSCC due to the stable overall distribution of conductive network in SSCC. However, temperature rise can reduce the piezoresistive sensitivity of SSCC. Aiming to diminish the effect of temperature on the piezoresistive property of SSCC, the SSCC responses to simultaneous temperature and loading excitations are then treated using a Bayesian blind source separation (BSS) method to reconstruct two independent sources. Regardless of the CNT/NCB composite filler content, the reconstructed source in relation to temperature variation always has a high correlation with the measured temperature, indicating that the proposed Bayesian BSS method can well extract and separate the electrical resistance variation induced by temperature variation from that induced by simultaneous temperature and loading excitations. | Keywords: | Self-sensing Cementitious composites Temperature Extraction of piezoresistive response Blind source separation |
Publisher: | Institute of Physics Publishing | Journal: | Smart materials and structures | ISSN: | 0964-1726 | EISSN: | 1361-665X | DOI: | 10.1088/1361-665X/abf992 | Rights: | © 2021 The Author(s). Published by IOP Publishing Ltd Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by/4.0/). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. The following publication Ding, S., Xu, C., Ni, Y. Q., & Han, B. (2021). Extracting piezoresistive response of self-sensing cementitious composites under temperature effect via Bayesian blind source separation. Smart Materials and Structures, 30(6), 065010 is available at https://doi.org/10.1088/1361-665X/abf992 |
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Ding_2021_Smart_Mater._Struct._30_065010.pdf | 5.15 MB | Adobe PDF | View/Open |
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