We propose a simple multiaxial linear viscoelastic constitutive model to describe the behavior of thermo-rheologically complex polymers in both the time and frequency domains. The numerical implementation is discussed along with the parameter identification procedure. In particular, we propose a modification of the parameter identification procedure proposed by Jalocha et al. (2015) introducing a regularization step, enabling robust handling of large experimental datasets. We perform an extensive experimental investigation, including calorimetry analysis, as well as tensile, shear, and torsion frequency sweep, creep, and stress-relaxation experiments, and results are benchmarked against existing literature. The frequency-temperature superposition principle is applied to the experimental data using horizontal and vertical shift functions, explicitly integrated into the constitutive model framework. The calibration of the constitutive model is performed in the frequency domain, while the validation is performed in the time domain, demonstrating the accuracy and reliability of the model in multiple experimental domains. Finally, model predictions are reported in the frequency domain for different temperatures.

Thermo-rheologically complex polymers: multiaxial constitutive modeling, numerical implementation and experimental validation / Iaccarino, P., Di Maio, E., Constantinescu, A., Auricchio, F.. - In: POLYMER TESTING. - ISSN 0142-9418. - 150:(2025), pp. 1-16. [10.1016/j.polymertesting.2025.108937]

Thermo-rheologically complex polymers: multiaxial constitutive modeling, numerical implementation and experimental validation

P. Iaccarino;E. Di Maio;
2025

Abstract

We propose a simple multiaxial linear viscoelastic constitutive model to describe the behavior of thermo-rheologically complex polymers in both the time and frequency domains. The numerical implementation is discussed along with the parameter identification procedure. In particular, we propose a modification of the parameter identification procedure proposed by Jalocha et al. (2015) introducing a regularization step, enabling robust handling of large experimental datasets. We perform an extensive experimental investigation, including calorimetry analysis, as well as tensile, shear, and torsion frequency sweep, creep, and stress-relaxation experiments, and results are benchmarked against existing literature. The frequency-temperature superposition principle is applied to the experimental data using horizontal and vertical shift functions, explicitly integrated into the constitutive model framework. The calibration of the constitutive model is performed in the frequency domain, while the validation is performed in the time domain, demonstrating the accuracy and reliability of the model in multiple experimental domains. Finally, model predictions are reported in the frequency domain for different temperatures.
2025
Thermo-rheologically complex polymers: multiaxial constitutive modeling, numerical implementation and experimental validation / Iaccarino, P., Di Maio, E., Constantinescu, A., Auricchio, F.. - In: POLYMER TESTING. - ISSN 0142-9418. - 150:(2025), pp. 1-16. [10.1016/j.polymertesting.2025.108937]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/1053656
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