Regression Model for the Mechanical Properties of PVC-P Geomembranes with Scratch Damage

Journal Title: Journal of Civil and Hydraulic Engineering - Year 2023, Vol 1, Issue 1

Abstract

In response to the mechanical performance alterations of PVC-P geomembranes due to improper handling or subgrade particle action during construction and operation, a series of axial tensile tests on PVC-P geomembranes with various scratch damages were conducted. Multifactorial variance analysis was performed using Python, and a multivariate regression model for the fracture strength and elongation at break of scratched PVC-P geomembranes was developed using SPSS. The precision of the regression model was evaluated using parameters such as the coefficient of determination (R2), mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE). The results indicated that the fracture strength and elongation at break of PVC-P geomembranes are significantly affected by a combination of scratch angle, length, and depth. The impact on elongation at break is greater than on fracture strength, with the scratch angle having the most significant effect. The developed multivariate regression model yielded R2 values of 0.98 and 0.97 for fracture strength and elongation at break, respectively. The MAEs were 0.62 kN/m and 7.96%, and the MAPEs were 3.06% and 5.13%, respectively. The RMSEs were 0.84 kN/m and 12.08%. The high fitting accuracy of the model suggests its utility for evaluating the mechanical performance of PVC-P geomembranes with scratch damage.

Authors and Affiliations

Xianlei Zhang, Jianqun Liu, Wenhui Zhang, Hesong Liu

Keywords

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  • EP ID EP731817
  • DOI https://doi.org/10.56578/jche010105
  • Views 90
  • Downloads 0

How To Cite

Xianlei Zhang, Jianqun Liu, Wenhui Zhang, Hesong Liu (2023). Regression Model for the Mechanical Properties of PVC-P Geomembranes with Scratch Damage. Journal of Civil and Hydraulic Engineering, 1(1), -. https://europub.co.uk/articles/-A-731817