Modeling and validation of mechanoluminescent strain sensing mechanism at quasi-static loading rates

Mechanoluminescence (ML) sensors offer full-field strain/stress measurements and have the advantages of easy implementation, non-invasiveness, and low cost. However, knowledge of the mechanism of car-rier detrapping owing to mechanical forces remains elusive as it may include one or more complicated processes. Several attempts to develop calibration models for converting the light emitted by ML sensors into mechanical stress have been reported, but few studies have tested the ML response under static or quasi-static loading rates. In this study, we built a real-time measurement system to evaluate the consti-tutive strain-luminescence relationship of ML sensors. The ML response was investigated at loading rates as low as 5 gm/s (i.e., strain rates as low as 16.2 gst/s). The results showed that the light of ML sensors was still excited under quasi-static loading rates. A double-exponential function was applied to describe nonlinear changes in light intensity over time. We used this function to modify the previous model and predict the ML responses under variable loading rate conditions. The results predicted by the model pro-posed in this paper are in good agreement with the experimental results.(c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Automated summary

Mechanoluminescence (ML) sensors provide full-field strain/stress measurements with easy implementation, non-invasiveness, and low cost. The mechanism of carrier detrapping due to mechanical forces is not well understood, and developing calibration models for ML sensors under static or quasi-static loading rates is a challenge. This study built a real-time measurement system to evaluate the constitutive strain-luminescence relationship of ML sensors and successfully predicted ML responses under variable loading rate conditions using a modified model.