Strain monitoring techniques for FRP laminates

Author(s):  
G Sarazin ◽  
J Newhook
2020 ◽  
Vol 976 ◽  
pp. 31-37
Author(s):  
Meng Wang ◽  
Gong Dong Wang ◽  
Nan Li

The application of composite components in the load-carrying structure boosts the booming of health monitoring techniques so that the crucial damages information inside the composite can be perceived to ensure the secure state of the whole composite. This paper presents a promising self-sensing nanocomposite equipped with carbon nanotube buckypaper sensor to realize the health monitoring function. The CNT-based composite laminates with different contents were compared under monotonic and cyclic flexural loading. The sensor with lesser content of CNT proved to be more qualified for strain monitoring and damage prediction with high sensitivity, stability, and durability.


FACETS ◽  
2021 ◽  
Vol 6 ◽  
pp. 1510-1533
Author(s):  
Henry Helmer-Smith ◽  
Nicholas Vlachopoulos ◽  
Marc-André Dagenais ◽  
Bradley Forbes

This paper outlines the testing and monitoring procedure of a scale model Warren truss constructed of 2 inch × 4 inch (38 mm × 89 mm) members and bolted connections within a laboratory environment. Several forms of deflection monitoring and strain monitoring instrumentation were utilized throughout this laboratory testing phase of a longer-term research program. Instruments included: an automatic total station, linear variable differential transducers, light detection and ranging, electric strain gauges, and distributed optical fibre sensors. The distributed point load-testing regime included two configurations: ( i) the original truss configuration and ( ii) the installation of intermediate columns beneath the truss. Objectives of this phase included identifying instrument capabilities, limitations, and overall reliability/effectiveness with respect to representing the behaviour of the truss system. In addition, members of interest and critical monitoring locations along the Warren truss were determined. The purpose of this laboratory endeavour was to determine an optimized structural-health monitoring program prior to implementation in a heritage timber Warren truss structure within the infrastructure inventory of the Department of National Defence (DND). An options analysis of monitoring techniques was conducted whereby the effectiveness of each instrumentation type was evaluated according to relevant metrics/factors to determine an effective monitoring technique for this heritage building and other similar DND truss structures.


2016 ◽  
Vol 20 (2) ◽  
pp. 191-201 ◽  
Author(s):  
Wei Lu ◽  
Yan Cui ◽  
Jun Teng

To decrease the cost of instrumentation for the strain and displacement monitoring method that uses sensors as well as considers the structural health monitoring challenges in sensor installation, it is necessary to develop a machine vision-based monitoring method. For this method, the most important step is the accurate extraction of the image feature. In this article, the edge detection operator based on multi-scale structure elements and the compound mathematical morphological operator is proposed to provide improved image feature extraction. The proposed method can not only achieve an improved filtering effect and anti-noise ability but can also detect the edge more accurately. Furthermore, the required image features (vertex of a square calibration board and centroid of a circular target) can be accurately extracted using the extracted image edge information. For validation, the monitoring tests for the structural local mean strain and in-plane displacement were designed accordingly. Through analysis of the error between the measured and calculated values of the structural strain and displacement, the feasibility and effectiveness of the proposed edge detection operator are verified.


Author(s):  
Jinzheng Yang ◽  
Yanling Xu ◽  
Yangyang Song ◽  
Gongkai Wang ◽  
Fuxing Yin ◽  
...  

2008 ◽  
Vol 15 (2/3/4) ◽  
pp. 255 ◽  
Author(s):  
J. Culp ◽  
M. El Gindy ◽  
A. Haque

Sign in / Sign up

Export Citation Format

Share Document