The purpose of this study is to establish a prediction model for the ultrasonic pulse velocity (UPV) of waste LCD glass concrete and then analyze the results obtained from a series of laboratory tests. The power function is used to perform the nonlinear-multivariate regression analysis of the UPV prediction model, with parameters such as water-binder ratio (w/b), curing age (t) and waste glass content (G). According to the relative regression analysis, the UPV prediction model is developed. The calculated results are in accord with the laboratory-measured data, which are the concrete UPV of various mix proportions. The regression analysis results show that a good agreement is obtained using the proposed prediction model. Therefore, the predicted results for UPV are highly accurate for waste LCD glass applied in concrete. Additionally, the proposed prediction model exhibits a good predictive capacity when it is adapted to calculate the UPV of highperformance recycled liquid crystal glass concrete (HPGC), as performed in a previous study. However, further study is needed as regards applying the proposed prediction model to other ranges of mixture parameters.

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