Temperature and humidity influence on the strain sensing performance of hybrid carbon nanotubes and graphite cement composites
| Autor: | Rosa Navarro, F. Javier Baeza, O. Galao, Emilio Zornoza, Beatriz del Moral, Catalina Farcas, Pedro Garcés, Jose Vera |
|---|---|
| Přispěvatelé: | Universidad de Alicante. Departamento de Ingeniería Civil, Durabilidad de Materiales y Construcciones en Ingeniería y Arquitectura, Grupo de Ensayo, Simulación y Modelización de Estructuras (GRESMES) |
| Rok vydání: | 2021 |
| Předmět: |
Materials science
0211 other engineering and technologies Multi-walled carbon nanotubes 020101 civil engineering 02 engineering and technology Carbon nanotube Hybrid fillers 0201 civil engineering law.invention Electrical resistivity and conductivity law 021105 building & construction General Materials Science Graphite Ingeniería de la Construcción Composite material Moisture Civil and Structural Engineering Cement Strain (chemistry) Mecánica de Medios Contínuos y Teoría de Estructuras Temperature Electrical resistivity Humidity Building and Construction 13. Climate action Saturation (chemistry) Strain-sensing Cement composites |
| Zdroj: | Construction and Building Materials RUA. Repositorio Institucional de la Universidad de Alicante Universidad de Alicante (UA) |
| ISSN: | 0950-0618 |
| DOI: | 10.1016/j.conbuildmat.2021.122786 |
| Popis: | Cement composites with hybrid conductive fillers carbon nanotubes (CNT) and graphite products (GP), have been tested as strain sensors under varying temperatures (0 °C–60 °C), and moisture conditions (0%–100% saturation degree (SD)). Cement pastes with 1% CNT and 5% GP (purified expanded graphite) presented resistivity values between 50 and 75 Ohm·cm, and their strain sensing response was observed to be independent of the loading conditions. However, the gage factor increased up to four times for higher temperatures, and was influenced by the temperature time history. Gage factors were also increased when drying the material up to a SD of 71% or with entirely dried samples. This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement ID 760940, and from the Generalitat Valenciana grant AICO/2019/050. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect