Abstract
In this work, we demonstrate that tipping point analysis of strain data can provide reactive and predictive indicators of cracking and structural transitions in a reinforced concrete system. The
method is able to detect trend-driven transitions in a short time series of approximately 2000 datapoints, providing a clear indication of when a concrete beam under gradual bending
progresses from a linear to a nonlinear strain response. The method is also able to provide an early warning signal of the appearance of bifurcations, such as cracks, with a forewarning of
200–500 datapoints. The method, which was originally developed for applications in geophysics, shows promising results in the area of structural health monitoring, in particular, for
real-time observations of civil constructions.
method is able to detect trend-driven transitions in a short time series of approximately 2000 datapoints, providing a clear indication of when a concrete beam under gradual bending
progresses from a linear to a nonlinear strain response. The method is also able to provide an early warning signal of the appearance of bifurcations, such as cracks, with a forewarning of
200–500 datapoints. The method, which was originally developed for applications in geophysics, shows promising results in the area of structural health monitoring, in particular, for
real-time observations of civil constructions.
| Original language | English |
|---|---|
| Article number | 015027 |
| Number of pages | 9 |
| Journal | Smart Materials and Structures |
| Volume | 25 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 11 Dec 2015 |
Keywords
- damage detection
- structural health monitoring
- bifurcations
- degenerate finger-printing
- potential analysis
