Numerical analysis of an <i>Opuntia</i> -based biopolymer: Hyperelastic calibration and FEA implementation

The escalating environmental impact of synthetic plastics has accelerated the demand for sustainable alternatives, with Opuntia -derived biopolymers emerging as a promising biodegradable solution. However, the effective integration of these novel materials into engineering applications is currently limited by a lack of predictive constitutive models describing their mechanical behavior. This work presents a numerical characterization of an Opuntia velutina -based biopolymer using a hyperelastic framework. Leveraging experimental stress-strain datasets previously reported for a biopolymer composed of O. velutina mucilage juice, gelatin, glycerol, and candelilla wax, multiple hyperelastic constitutive models were calibrated to capture the material’s nonlinear response. Among them, the Marlow ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msup> <mml:mi>R</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:mo>&gt;</mml:mo> <mml:mn>0.9999</mml:mn> </mml:math> ) and Ogden ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mi>N</mml:mi> <mml:mo>=</mml:mo> <mml:mn>2</mml:mn> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msup> <mml:mi>R</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:mo>=</mml:mo> <mml:mn>0.99805</mml:mn> </mml:math> ) models demonstrated the highest statistical correlation with experimental data. These models were implemented in a Finite Element environment to reproduce the specimen’s structural response and verify numerical implementation and stability. The results indicate that while both models accurately track the force-displacement path analytically, the Marlow model provides superior robustness, achieving full convergence across the entire deformation range. In contrast, the Ogden model encountered convergence limits at high strains due to inherent non-linearities and material stability criterion violations. This research provides a set of calibrated material constants, establishing a prescriptive computational methodology for the design and analysis of sustainable Opuntia -based engineering products.

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Journal
Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications
Published
2026-04-17
DOI
https://doi.org/10.1177/14644207261442691
Primary Topic
Botanical Research and Applications
Type
article
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article

Numerical analysis of an Opuntia -based biopolymer: Hyperelastic calibration and FEA implementation

Sandra Pascoe-Ortiz, Alejandro E. Rodríguez-Sánchez, Michelle Mojica-Guzmán
Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications
Botanical Research and Applications
article

Numerical analysis of an Opuntia -based biopolymer: Hyperelastic calibration and FEA implementation

Sandra Pascoe-Ortiz, Alejandro E. Rodríguez-Sánchez, Michelle Mojica-Guzmán
article en

Abstract

The escalating environmental impact of synthetic plastics has accelerated the demand for sustainable alternatives, with Opuntia -derived biopolymers emerging as a promising biodegradable solution. However, the effective integration of these novel materials into engineering applications is currently limited by a lack of predictive constitutive models describing their mechanical behavior. This work presents a numerical characterization of an Opuntia velutina -based biopolymer using a hyperelastic framework. Leveraging experimental stress-strain datasets previously reported for a biopolymer composed of O. velutina mucilage juice, gelatin, glycerol, and candelilla wax, multiple hyperelastic constitutive models were calibrated to capture the material’s nonlinear response. Among them, the Marlow ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msup> <mml:mi>R</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:mo>&gt;</mml:mo> <mml:mn>0.9999</mml:mn> </mml:math> ) and Ogden ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mi>N</mml:mi> <mml:mo>=</mml:mo> <mml:mn>2</mml:mn> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:msup> <mml:mi>R</mml:mi> <mml:mn>2</mml:mn> </mml:msup> <mml:mo>=</mml:mo> <mml:mn>0.99805</mml:mn> </mml:math> ) models demonstrated the highest statistical correlation with experimental data. These models were implemented in a Finite Element environment to reproduce the specimen’s structural response and verify numerical implementation and stability. The results indicate that while both models accurately track the force-displacement path analytically, the Marlow model provides superior robustness, achieving full convergence across the entire deformation range. In contrast, the Ogden model encountered convergence limits at high strains due to inherent non-linearities and material stability criterion violations. This research provides a set of calibrated material constants, establishing a prescriptive computational methodology for the design and analysis of sustainable Opuntia -based engineering products.

Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications
Centro de Investigación y Desarrollo (ES), Universidad Panamericana (MX)
Responsible consumption and production
Openalex Percentile: Top 10%
Botanical Research and Applications
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