P. Heyse
MULTITEXCO - high performance smart multifunctional technical textiles for tensile structures
Heyse, P.; Buyle, G.; Beccarelli, Paolo
Abstract
In recent years, the textile industry developed a new generation of advanced textile materials for the construction sector designed to address the needs of one of the largest markets for textile products. Examples of the advanced textiles developed include fabrics for the rehabilitation of buildings, geotextiles for the consolidation of a wide range of soil structures and the high performance technical textiles for tensile structures. When combine with innovative sensors the fabrics provide an useful tool for the constant monitoring of the structures and can be used to record the mechanical performance or detect anomalies in the expected use of the structures by measuring applied loads, deformations, operating temperatures or other important parameters.
This work highlights recent advances in sensor embedded textiles for structural health monitoring of tensile structures. Attention is paid on ease of application, integration in the textile and the use of established and relatively low cost sensing methodologies. The real innovation lies therefore in transferring these methods to unexplored technological fields for smart textiles such as tensile structures.
Citation
Heyse, P., Buyle, G., & Beccarelli, P. (2016). MULTITEXCO - high performance smart multifunctional technical textiles for tensile structures. Procedia Engineering, 155, https://doi.org/10.1016/j.proeng.2016.08.002
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 2, 2016 |
Publication Date | Aug 30, 2016 |
Deposit Date | Nov 18, 2016 |
Publicly Available Date | Nov 18, 2016 |
Journal | Procedia Engineering |
Print ISSN | 1877-7058 |
Electronic ISSN | 1877-7058 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 155 |
DOI | https://doi.org/10.1016/j.proeng.2016.08.002 |
Keywords | Smart textiles; structural health monitoring; tensile structures |
Public URL | https://nottingham-repository.worktribe.com/output/803987 |
Publisher URL | http://www.sciencedirect.com/science/article/pii/S1877705816321439 |
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
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