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<p>The characterization of novel biopolymers is critical for their integration into engineering applications. This work presents the comprehensive mechanical characterization and constitutive modeling of a ductile biopolymer derived from <i>Opuntia velutina</i> (nopal) plant. Uniaxial tensile tests at distinct loading rates (10, and 1000&#xa0;mm/min) revealed a significant rate-dependency in the material’s stiffness and ultimate tensile strength, and a statistically significant decrease in its ultimate strain at failure. To capture this complex behavior, a phenomenological, three-network constitutive model incorporating Yeoh hyperelasticity and a viscous flow rule was developed. Calibrated simultaneously against the experimental dataset, the model’s empirical adequacy was confirmed through a dual-validation criterion: achieving coefficients of determination above 0.90 for tested conditions and validation data, while accurately predicting key mechanical properties from a single set of material parameters. The application of this framework to a novel biomaterial demonstrates the broader applicability of established polymer mechanical models. Ultimately, the validated constitutive model provides a predictive tool for further analysis and engineering design of new sustainable products.</p>

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Experimental characterization and tensile mechanical modeling of an Opuntia velutina biopolymer

  • 期刊论文

  • 发表日期：

    2025年12月12日

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  • Alejandro E. Rodríguez-Sánchez,
  • Sandra Pascoe-Ortiz

摘要

The characterization of novel biopolymers is critical for their integration into engineering applications. This work presents the comprehensive mechanical characterization and constitutive modeling of a ductile biopolymer derived from Opuntia velutina (nopal) plant. Uniaxial tensile tests at distinct loading rates (10, and 1000 mm/min) revealed a significant rate-dependency in the material’s stiffness and ultimate tensile strength, and a statistically significant decrease in its ultimate strain at failure. To capture this complex behavior, a phenomenological, three-network constitutive model incorporating Yeoh hyperelasticity and a viscous flow rule was developed. Calibrated simultaneously against the experimental dataset, the model’s empirical adequacy was confirmed through a dual-validation criterion: achieving coefficients of determination above 0.90 for tested conditions and validation data, while accurately predicting key mechanical properties from a single set of material parameters. The application of this framework to a novel biomaterial demonstrates the broader applicability of established polymer mechanical models. Ultimately, the validated constitutive model provides a predictive tool for further analysis and engineering design of new sustainable products.