Modeling the lung: Fractional viscoelastic models – Part 3

Victor Perez, Jamille Pasco

Cite

Perez V, Pasco J. Modeling the lung: Fractional viscoelastic models – Part 3. J Mech Vent 2026; 7(3):147-155.

Metrics

8 Downloads

Abstract

Lung viscoelasticity is governed by the intricate interplay of alveolar-interstitial architecture, including the elastin-collagen network, alveolar microgeometry, and surfactant dynamics. Traditional integer-order mechanical models have provided foundational frameworks for describing lung tissue mechanics but are limited by their inability to capture the empirically observed power-law responses and the broad distribution of relaxation times inherent to heterogeneous biological tissues, particularly in pathological states like acute respiratory distress syndrome (ARDS). Fractional viscoelastic models, grounded in fractional calculus, overcome these limitations by employing non-integer order derivatives and the spring-pot element, enabling a parsimonious and robust description of viscoelastic phenomena such as stress relaxation, creep, and hysteresis across wide temporal and spectral domains. These models encapsulate the memory effect and fractal architecture of lung parenchyma, offering a unified and physically interpretable parameterization of viscoelasticity. Composite fractional models demonstrate superior accuracy in fitting experimental data and predicting the dynamic response of the respiratory system. Their clinical application holds promise for optimizing protective ventilation strategies, individualizing PEEP titration, and reducing ventilator-induced lung injury (VILI) by enabling real-time assessment of tissue mechanics. The adoption of fractional viscoelastic models represents a paradigm shift in respiratory biomechanics, providing advanced tools for both research and clinical practice.

Keywords: fractional calculus, lung viscoelasticity, spring-pot, power-law, ARDS, respiratory mechanics.

References

1. Biselli PJC, Degobbi Tenorio Quirino Dos Santos Lopes F, Righetti RF, et al. Lung mechanics over the century: from bench to bedside and back to bench. Front Physiol 2022; 13:817263.
https://doi.org/10.3389/fphys.2022.817263
PMid:35910573 PMCid:PMC9326096
2. Pichler C, Oberparleiter S, Lackner R. et al. Fractional-type viscoelastic behavior of thermoplastic polyurethane. Polymers 2023; 15(18):3770.
https://doi.org/10.3390/polym15183770
PMid:37765624 PMCid:PMC10534667
3. Tuza FA d’Alegria, De Sá PM, Castro HA, et al. Combined forced oscillation and fractional-order modeling in patients with work-related asthma: a case-control study analyzing respiratory biomechanics and diagnostic accuracy. Biomed Eng OnLine 2020; 19(1):93.
https://doi.org/10.1186/s12938-020-00836-6
PMid:33298072 PMCid:PMC7724713
4. Kim JH, Yang D, Park S. Experimental validation for the interconversion between generalized Kelvin-Voigt and Maxwell models using human skin tissues. J Biomech 2024; 162:111908.
https://doi.org/10.1016/j.jbiomech.2023.111908
PMid:38142667 PMCid:PMC10842778
5. Melo MER, Salazar CAG, Méndez UO, Vega JJM. Aplicación del cálculo fraccional en el modelado de la viscoelasticidad en polímeros. Ingenierias 2005; 8(27):7-15.
6. Dai Z, Peng Y, Mansy HA, et al. A model of lung parenchyma stress relaxation using fractional viscoelasticity. Med Eng Phys 2015; 37(8):752-758.
https://doi.org/10.1016/j.medengphy.2015.05.003
PMid:26050200 PMCid:PMC8369918
7. Zhang W, Capilnasiu A, Sommer G, et al. An efficient and accurate method for modeling nonlinear fractional viscoelastic biomaterials. Comput Methods Appl Mech Eng 2020; 362:112834.
https://doi.org/10.1016/j.cma.2020.112834
PMid:34136022 PMCid:PMC7610983
8. Bonfanti A, Kaplan JL, Charras G, et al. Fractional viscoelastic models for power-law materials. Soft Matter 2020; 16(26):6002-6020.
https://doi.org/10.1039/D0SM00354A
PMid:32638812
9. Zhou B, Zhang X. Comparison of five viscoelastic models for estimating viscoelastic parameters using ultrasound shear wave elastography. J Mech Behav Biomed Mater 2018; 85:109-116.
https://doi.org/10.1016/j.jmbbm.2018.05.041
PMid:29879581 PMCid:PMC6035078
10. King AW. Nonlinear fractional order derivative models of components and materials in hearing aids and transducers. 2019. Technical University of Denmark. Accessed at: https://orbit.dtu.dk/en/publications/nonlinear-fractional-order-derivative-models-of-components-and-ma/
11. Alotta G, Barrera O, Cocks A, et al. The finite element implementation of 3D fractional viscoelastic constitutive models. Finite Elem Anal Des 2018; 146:28-41.
https://doi.org/10.1016/j.finel.2018.04.003
12. Suki B, Barabasi AL, Lutchen KR. Lung tissue viscoelasticity: a mathematical framework and its molecular basis. J Appl Physiol 1994; 76(6):2749-2759.
https://doi.org/10.1152/jappl.1994.76.6.2749
PMid:7928910
13. Placenti A, Ramos M, Fratebianchi F. Mecánica respiratoria en anestesia general: Revisión de conceptos. Rev Chil Anest 2022; 51(1):102-116.
https://doi.org/10.25237/revchilanestv5130121222
14. Jóźwiak B, Orczykowska M, Dziubiński M. Fractional generalizations of Maxwell and Kelvin-Voigt models for biopolymer characterization. PLOS ONE 2015; 10(11):e0143090.
https://doi.org/10.1371/journal.pone.0143090
PMid:26599756 PMCid:PMC4658031
15. Correger E, Murias G, Chacon E, et al. Interpretación de las curvas del respirador en pacientes con insuficiencia respiratoria aguda. Med Intensiva 2012; 36(4):294-306.
https://doi.org/10.1016/j.medin.2011.08.005
PMid:22014424
16. López Sanchez M. Ventilación mecánica en pacientes tratados con membrana de oxigenación extracorpórea (ECMO). Med Intensiva 2017; 41(8):491-496.
https://doi.org/10.1016/j.medin.2016.12.007
PMid:28188062
17. Li Z, Pei Y, Wang Y, et al. An enhanced respiratory mechanics model based on double-exponential and fractional calculus. Front Physiol 2023; 14:1273645.
https://doi.org/10.3389/fphys.2023.1273645
PMid:38111899 PMCid:PMC10726035
18. Tomicic V, Fuentealba A, Martínez E, et al. Fundamentos de la ventilación mecánica en el síndrome de distrés respiratorio agudo. Med Intensiva 2010; 34(6):418-427.
https://doi.org/10.1016/j.medin.2009.10.005
PMid:20097448
19. Ionescu C, Oustaloup A, Levron F, et al. A Model of the lungs based on fractal geometrical and structural properties. IFAC Proc 2009; 42(10):994-999.
https://doi.org/10.3182/20090706-3-FR-2004.00165
20. Özköse F, Yılmaz S, Yavuz M, et al. A fractional modeling of tumor-immune system interaction related to lung cancer with real data. Eur Phys J Plus 2022; 137(1):40.
https://doi.org/10.1140/epjp/s13360-021-02254-6
21. Craiem DO, Rojo FJ, Atienza JM, et al. Fractional calculus applied to model arterial viscoelasticity. Lat Am Appl Res 2008; 38(2)141-145.
22. Lagos-Varas M, Raposeiras AC, Movilla-Quesada D, et al. Estudio del comportamiento reológico de mezclas y ligantes asfálticos utilizando modelos de viscoelasticidad fraccionaria. 2019. 2019Conference: XX Congreso Ibero Latinoamericano del Asfalto CILAAt: Guadalajara, México
23. Ionescu C, Kelly JF. Fractional calculus for respiratory mechanics: Power law impedance, viscoelasticity, and tissue heterogeneity. Chaos Solitons Fractals 2017; 102:433-440.
https://doi.org/10.1016/j.chaos.2017.03.054
24. Fajardo-Campoverdi A, López-Fernández Y, Vivanco P, et al. Lung Mechanotransduction, the minuet of Biophysics (Part 2). J Mech Vent 2025; 6(3):122-130.
https://doi.org/10.53097/JMV.10132
25. Kontou E. Comparative study of the simulation effectiveness of the polymer’s viscoplastic response between a viscoplastic and a fractional viscoelastic model. Mech Time-Depend Mater 2025; 29(2):39.
https://doi.org/10.1007/s11043-025-09775-y
26. Mainardi F, Spada G. Creep, relaxation and viscosity properties for basic fractional models in rheology. Eur Phys J Spec Top 2011; 193(1):133-160.
https://doi.org/10.1140/epjst/e2011-01387-1
27. Carrasco Loza R, Villamizar Rodríguez G, Medel Fernández N. Ventilator-induced lung injury (VILI) in acute respiratory distress syndrome (ARDS): Volutrauma and molecular effects. Open Respir Med J 2015; 9(1):112-119.
https://doi.org/10.2174/1874306401509010112
PMid:26312103 PMCid:PMC4541417