close
Skip to main content
Log in

Modified bond-based peridynamic approach for modeling the thermoviscoelastic response of bimaterials with viscoelastic–elastic interface

  • Original Article
  • Published:
Engineering with Computers Aims and scope Submit manuscript

Abstract

This study investigates the constitutive relationships for a modified bond-based peridynamic (MBB-PD) model to analyze bimaterial structures with a viscoelastic component subjected to mechanical and thermal loads. The hereditary integral viscoelastic constitutive relationship is used to model the viscoelastic behavior of a generalized Maxwell model, with viscoelastic constitutive coefficients obtained from the Prony series. To model the bimaterial interface between viscoelastic and elastic segments, various functions are proposed. Additionally, normal and shear bonds are defined as failure criteria based on critical stretches and angles. The fidelity of the proposed model is evaluated by comparing its thermoviscoelastic creep and recovery responses with finite element (FE) solutions for single and bimaterial plates. The sensitivity of the interface function to the horizon size is also examined. The results demonstrate that small horizon sizes still yield satisfactory results near the interface while reducing computational costs. Finally, the proposed MBB-PD model is applied to simulate a double cantilever beam (DCB) delamination test with a rubber interface, with predictions that are in good agreement with those from the extended finite element method (XFEM). The MBB-PD model proves to be a useful and efficient tool for analyzing bimaterial structures with viscoelastic components.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+
from $39.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

Availability of Data and Material

The data that support the findings of this study are available upon reasonable request.

Abbreviations

\(A\) :

Cross-sectional area of structure

\(a\), \(b\), \(c\), and \(d\) :

Dummy points on edge of hypothetical elements

\(B\) :

Continuum body

\({\mathbf{b}}_{\left(j\right)}\) :

External force density vector

\({c}_{1}\) and \({c}_{2}\) :

Viscoelastic temperature constants

\(E\) :

Young's modulus of material

\({\mathbf{f}}_{jk}\) :

Internal force density vector

\({\mathbf{f}}^{\boldsymbol{\alpha }}\) :

Normal and shear bond force density vector of an \(\alpha \)-equivalent strain bond

\({G}_{\mathrm{M}}^{\mathrm{C}}\) :

Mixed-mode critical SERR

\({G}_{\mathrm{c}}\) :

Critical SEER

\(H(x)\) :

Heaviside function

\({\mathcal{H}}_{\mathbf{x}}\) :

Family region of a material point x

\(h\) :

Thickness of structure

K :

Micro-modulus matrix

\({{K}_{1}}^{t}\), \({{K}_{2}}^{t}\) and \({{K}_{6}}^{t}\) :

Summation of elements of first, second, and third rows of micro-modulus matrix

\(k\) :

Material’s bulk modulus

\({\mathcal{l}}_{\mathrm{E}}\), \({\mathcal{l}}_{\mathrm{V}}\) and \(\mathcal{l}\) :

Elastic, viscoelastic, and total length of a bond

\(m\) :

Ratio of horizon size to spacing size of two adjacent points

\({N}_{\left(j\right)}^{\mathrm{s}}\), and \({N}_{\left(j\right)}^{\mathrm{V}}\) :

Number of equivalent shear bonds and number of equivalent vertical bonds of material point \(j\)

\({\mathrm{NF}}_{ \left(j\right)}\) :

Number of family members for material point j

\({N}_{\mathrm{cr}}^{\mathrm{V}}\), and \({N}_{\mathrm{cr}}^{\mathrm{S}}\) :

Number of normal and shear interactions passing through a crack surface with length of \(\Delta x\)

\({s}_{\mathrm{c}}\) and \({\phi }_{\mathrm{c}}\) :

Failure criterion for normal bonds and shear bonds

\(T\) :

Temperature

\({T}_{\mathrm{g}}\) :

Glass transition temperature point

\(t\) :

Time

\({\mathbf{u}}_{({\varvec{j}})}, {\ddot{\mathbf{u}}}_{({\varvec{j}})}\) :

Displacement and acceleration vectors

\({u}_{\boldsymbol{\alpha }({\varvec{j}})}\) :

\(\alpha \) Component of displacement vector of material point \(j\)

\({V}_{\left(k\right)}\) :

Volume of material point k

\({\mathbf{x}}_{({\varvec{j}})}\) :

Initial position vector of a material point

\({{\varvec{y}}}_{({\varvec{j}})}\) :

Deformed position vector of a material point

\({y}_{\boldsymbol{\alpha }({\varvec{j}})}\) :

\(\alpha \) Component of deformed position vector of material point \(j\)

\(\alpha \) :

Thermal expansion coefficient

\({\alpha }_{\mathrm{V}}\) and \({\alpha }_{\mathrm{E}}\) :

Material properties of viscoelastic and elastic parts

\({\gamma }_{xy}\) :

Shear strain in CCM framework

\(\Delta T\) :

Temperature changing

\({\Delta u}_{\alpha jk}\) :

Relative displacement components of two material points \(j\) and \(k\) in \(\alpha \) direction

\(\mathrm{\Delta x}\) and \(\mathrm{\Delta y}\) :

Space between two adjacent material points in \(x\) and \(y\) directions

\(\delta \) :

Horizon size

\({\varvec{\upvarepsilon}}\) :

Strain matrix

\(\widehat{{\varvec{\upvarepsilon}}}\) :

Deviatoric strain matrix

\({\varepsilon }_{ \alpha }^{x}\) :

Normal axial, transverse, and shear true strain components of an EHNSB

\({\varepsilon }_{ \alpha }^{y}\) :

Normal axial, transverse, and shear true strain components of an EVNSB

\({\varepsilon }_{ \alpha }^{xy}\) :

Normal horizontal, normal vertical, and shear true strains of an ESSB

\({\varvec{\upzeta}}\) :

Viscous part of deviatoric strain matrix

\({\varvec{\upeta}}\) :

Viscous part of volumetric strain matrix

\({\varvec{\Theta}}\) :

Volumetric strain matrix

\({\theta }_{jk}\) :

Angle of shear bond

\({\lambda }_{xx},{\lambda }_{yy},{\lambda }_{xy}\) :

Correction factor coefficients

\({\mu }_{jk}\) :

Function to represent state of interaction

\(\nu \) :

Value of Poisson's ratio

\({\xi }_{0}\) :

Initial bond length of smallest shear bond in set of shear bonds with identical angles

\({{\varvec{\upxi}}}_{jk}\) :

Initial relative position vector between two points of j and k

\({\xi }_{jk}\) :

Initial bond length between two points of j and k

\(\rho \) :

Mass density

\(\Phi \) :

Time–temperature shift function

\({\varvec{\upsigma}}\) :

Stress matrix

\({\tau }_{i}\) :

Relaxation time

\({\varphi }_{j}\) :

Local damage index

\(\chi \) :

B-K constant

ADR:

Adaptive dynamic relaxation

BANOSB:

Bond-associated non-ordinary state based

BB:

Bond based

B-K:

Benzeggagh–Kenane

CCM:

Classical continuum mechanics

CM:

Cubic means

DCB:

Double cantilever beam

DL:

Dominant length

EHNSB:

Equivalent horizontal normal strain bond

ESSB:

Equivalent shear strain bond

EVNSB:

Equivalent vertical normal strain bond

FE:

Finite element

FGMs:

Functionally graded materials

MBB:

Modified bond based

NOSB:

Non-ordinary state based

OSB:

Ordinary state based

PD:

Peridynamics

QM:

Quadratic means

RMS:

Root mean square

SERR:

Strain energy release rate

WLF:

Williams–Landel–Ferry

XFEM:

Extended finite element method

References

  1. Sallat A, Das A, Schaber J et al (2018) Viscoelastic and self-healing behavior of silica filled ionically modified poly(isobutylene-co-isoprene) rubber. RSC Adv 8:26793–26803. https://doi.org/10.1039/C8RA04631J

    Article  Google Scholar 

  2. Sun C, Yarmohammadi A, Isfahani RB et al (2021) Self-healing polymers using electrosprayed microcapsules containing oil: molecular dynamics simulation and experimental studies. J Mol Liq 325:115182. https://doi.org/10.1016/j.molliq.2020.115182

    Article  Google Scholar 

  3. Yang SY, Kim K, Seo S et al (2022) Hybrid antagonistic system with coiled shape memory alloy and twisted and coiled polymer actuator for lightweight robotic arm. IEEE Robot Autom Lett 7:4496–4503. https://doi.org/10.1109/LRA.2022.3150875

    Article  Google Scholar 

  4. Root SE, Preston DJ, Feifke GO et al (2021) Bio-inspired design of soft mechanisms using a toroidal hydrostat. Cell Rep Phys Sci 2:100572. https://doi.org/10.1016/j.xcrp.2021.100572

    Article  Google Scholar 

  5. Arash B, Exner W, Rolfes R (2019) Viscoelastic damage behavior of fiber reinforced nanoparticle-filled epoxy nanocomposites: multiscale modeling and experimental validation. Compos Part B Eng 174:107005. https://doi.org/10.1016/j.compositesb.2019.107005

    Article  Google Scholar 

  6. Anagnostou D, Chatzigeorgiou G, Chemisky Y, Meraghni F (2018) Hierarchical micromechanical modeling of the viscoelastic behavior coupled to damage in SMC and SMC-hybrid composites. Compos B Eng 151:8–24. https://doi.org/10.1016/j.compositesb.2018.05.053

    Article  Google Scholar 

  7. Raina A, Miehe C (2016) A phase-field model for fracture in biological tissues. Biomech Model Mechanobiol 15:479–496. https://doi.org/10.1007/s10237-015-0702-0

    Article  Google Scholar 

  8. Rose S, Prevoteau A, Elzière P et al (2014) Nanoparticle solutions as adhesives for gels and biological tissues. Nature 505:382–385. https://doi.org/10.1038/nature12806

    Article  Google Scholar 

  9. Luo W, Li M, Huang Y et al (2019) Effect of temperature on the tear fracture and fatigue life of carbon-black-filled rubber. Polymers 11:768. https://doi.org/10.3390/polym11050768

    Article  Google Scholar 

  10. Rong J, Yang J, Huang Y et al (2021) Characteristic tearing energy and fatigue crack propagation of filled natural rubber. Polymers 13:3891. https://doi.org/10.3390/polym13223891

    Article  Google Scholar 

  11. Zhao G, Xu J, Feng Y et al (2021) A rate-dependent cohesive zone model with the effects of interfacial viscoelasticity and progressive damage. Eng Fract Mech 248:107695. https://doi.org/10.1016/j.engfracmech.2021.107695

    Article  Google Scholar 

  12. Ciavarella M, Papangelo A, McMeeking R (2021) Crack propagation at the interface between viscoelastic and elastic materials. Eng Fract Mech 257:108009. https://doi.org/10.1016/j.engfracmech.2021.108009

    Article  Google Scholar 

  13. Alae M, Ling M, Haghshenas HF, Zhao Y (2021) Three-dimensional finite element analysis of top-down crack propagation in asphalt pavements. Eng Fract Mech 248:107736. https://doi.org/10.1016/j.engfracmech.2021.107736

    Article  Google Scholar 

  14. Bernus Kouevidjin A, Barthélémy J-F, Somé SC et al (2022) Modelling of viscoelastic properties and crack growth in bituminous mixtures: application to the simulation of crack growth in semi-circular samples subjected to oxidative ageing. Eng Fract Mech. https://doi.org/10.1016/j.engfracmech.2022.108580

    Article  Google Scholar 

  15. Aranda MT, García IG, Reinoso J et al (2020) Crack arrest through branching at curved weak interfaces: an experimental and numerical study. Theor Appl Fract Mech 105:102389. https://doi.org/10.1016/j.tafmec.2019.102389

    Article  Google Scholar 

  16. Olley P, Gough T, Spares R, Coates PD (2022) 3D simulation of the hierarchical multi-mode molecular stress function constitutive model in an abrupt contraction flow. J Non-Newtonian Fluid Mech 304:104806. https://doi.org/10.1016/j.jnnfm.2022.104806

    Article  MathSciNet  Google Scholar 

  17. Mulla Y, Koenderink GH (2018) Crosslinker mobility weakens transient polymer networks. Phys Rev E 98:062503. https://doi.org/10.1103/PhysRevE.98.062503

    Article  Google Scholar 

  18. Kaurin D, Arroyo M (2019) Surface tension controls the hydraulic fracture of adhesive interfaces bridged by molecular bonds. Phys Rev Lett 123:228102. https://doi.org/10.1103/PhysRevLett.123.228102

    Article  Google Scholar 

  19. Thamburaja P, Sarah K, Srinivasa A, Reddy JN (2021) Fracture modelling of plain concrete using non-local fracture mechanics and a graph-based computational framework. Proc R Soc A 477:20210398. https://doi.org/10.1098/rspa.2021.0398

    Article  MathSciNet  Google Scholar 

  20. Srinivasa AR, Reddy JN, Phan N (2022) A discrete nonlocal damage mechanics approach. Mech Adv Mater Struct 29:1813–1820. https://doi.org/10.1080/15376494.2020.1839984

    Article  Google Scholar 

  21. Sarah K, Thamburaja P, Srinivasa A, Reddy JN (2020) Numerical simulations of damage and fracture in viscoelastic solids using a nonlocal fracture criterion. Mech Adv Mater Struct 27:1085–1097. https://doi.org/10.1080/15376494.2020.1716414

    Article  Google Scholar 

  22. Brighenti R, Rabczuk T, Zhuang X (2021) Phase field approach for simulating failure of viscoelastic elastomers. Eur J Mech A Solids 85:104092. https://doi.org/10.1016/j.euromechsol.2020.104092

    Article  MathSciNet  Google Scholar 

  23. Loew PJ, Poh LH, Peters B, Beex LAA (2020) Accelerating fatigue simulations of a phase-field damage model for rubber. Comput Methods Appl Mech Eng 370:113247. https://doi.org/10.1016/j.cma.2020.113247

    Article  MathSciNet  Google Scholar 

  24. Silling SA (2000) Reformulation of elasticity theory for discontinuities and long-range forces. J Mech Phys Solids 48:175–209. https://doi.org/10.1016/S0022-5096(99)00029-0

    Article  MathSciNet  Google Scholar 

  25. Silling SA, Askari E (2005) A meshfree method based on the peridynamic model of solid mechanics. Comput Struct 83:1526–1535. https://doi.org/10.1016/j.compstruc.2004.11.026

    Article  Google Scholar 

  26. Javili A, Morasata R, Oterkus E, Oterkus S (2019) Peridynamics review. Math Mech Solids 24:3714–3739. https://doi.org/10.1177/1081286518803411

    Article  MathSciNet  Google Scholar 

  27. Han D, Zhang Y, Wang Q et al (2019) The review of the bond-based peridynamics modeling. J Micromech Mol Phys 04:1830001. https://doi.org/10.1142/S2424913018300013

    Article  Google Scholar 

  28. Liu Z, Bie Y, Cui Z, Cui X (2020) Ordinary state-based peridynamics for nonlinear hardening plastic materials’ deformation and its fracture process. Eng Fract Mech 223:106782. https://doi.org/10.1016/j.engfracmech.2019.106782

    Article  Google Scholar 

  29. Pathrikar A, Rahaman MM, Roy D (2019) A thermodynamically consistent peridynamics model for visco-plasticity and damage. Comput Methods Appl Mech Eng 348:29–63. https://doi.org/10.1016/j.cma.2019.01.008

    Article  MathSciNet  Google Scholar 

  30. Mitchell JA (2011) A non-local, ordinary-state-based viscoelasticity model for peridynamics. Sandia National Lab Report 8064:1–28

  31. Li P, Hao ZM, Zhen WQ (2018) A stabilized non-ordinary state-based peridynamic model. Comput Methods Appl Mech Eng 339:262–280. https://doi.org/10.1016/j.cma.2018.05.002

    Article  MathSciNet  Google Scholar 

  32. Sun B, Wang L, Lyu K et al (2022) An improved efficient implicit solution strategy for elastic cracking simulation based on ordinary state-based peridynamics. Eng Fract Mech 275:108841. https://doi.org/10.1016/j.engfracmech.2022.108841

    Article  Google Scholar 

  33. Silling SA, Lehoucq RB (2010) Peridynamic theory of solid mechanics. Adv Appl Mech 44:73–168

    Article  Google Scholar 

  34. Tian D-L, Zhou X-P (2022) A viscoelastic model of geometry-constraint-based non-ordinary state-based peridynamics with progressive damage. Comput Mech. https://doi.org/10.1007/s00466-022-02148-z

    Article  MathSciNet  Google Scholar 

  35. Bode T, Weißenfels C, Wriggers P (2020) Mixed peridynamic formulations for compressible and incompressible finite deformations. Comput Mech 65:1365–1376. https://doi.org/10.1007/s00466-020-01824-2

    Article  MathSciNet  Google Scholar 

  36. Bode T, Weißenfels C, Wriggers P (2020) Peridynamic Petrov-Galerkin method: a generalization of the peridynamic theory of correspondence materials. Comput Methods Appl Mech Eng 358:112636. https://doi.org/10.1016/j.cma.2019.112636

    Article  MathSciNet  Google Scholar 

  37. Isiet M, Mišković I, Mišković S (2021) Review of peridynamic modelling of material failure and damage due to impact. Int J Impact Eng 147:103740. https://doi.org/10.1016/j.ijimpeng.2020.103740

    Article  Google Scholar 

  38. Fang G, Liu S, Liang J et al (2021) A stable non-ordinary state-based peridynamic model for laminated composite materials. Int J Numer Methods Eng 122:403–430. https://doi.org/10.1002/nme.6542

    Article  MathSciNet  Google Scholar 

  39. Silling SA (2017) Stability of peridynamic correspondence material models and their particle discretizations. Comput Methods Appl Mech Eng 322:42–57. https://doi.org/10.1016/j.cma.2017.03.043

    Article  MathSciNet  Google Scholar 

  40. Chen H (2018) Bond-associated deformation gradients for peridynamic correspondence model. Mech Res Commun 90:34–41. https://doi.org/10.1016/j.mechrescom.2018.04.004

    Article  Google Scholar 

  41. Gu X, Zhang Q (2020) A modified conjugated bond-based peridynamic analysis for impact failure of concrete gravity dam. Meccanica 55:547–566. https://doi.org/10.1007/s11012-020-01138-w

    Article  MathSciNet  Google Scholar 

  42. Li S, Jin Y, Huang X, Zhai L (2020) An extended bond-based peridynamic approach for analysis on fracture in brittle materials. Math Probl Eng 2020:1–12. https://doi.org/10.1155/2020/9568015

    Article  MathSciNet  Google Scholar 

  43. Madenci E, Barut A, Phan N (2021) Bond-based peridynamics with stretch and rotation kinematics for opening and shearing modes of fracture. J Peridyn Nonlocal Model 3:211–254. https://doi.org/10.1007/s42102-020-00049-4

    Article  MathSciNet  Google Scholar 

  44. Hu Y, Madenci E (2016) Bond-based peridynamics with an arbitrary Poisson’s ratio. In: 57th AIAA/ASCE/AHS/ASC structures, structural dynamics, and materials conference, American Institute of Aeronautics and Astronautics, San Diego, California, USA

  45. Masoumi A, Salehi M, Ravandi M (2023) A modifed bond-based peridynamic model without limitations on elastic properties. Eng Anal Bound Elem 149:261–281. https://doi.org/10.1016/j.enganabound.2023.01.030

    Article  MathSciNet  Google Scholar 

  46. Azizi MA, Ariffin AK (2019) Peridynamic model for nonlinear viscoelastic creep and creep rupture of polypropylene. JMES 13:5735–5752. https://doi.org/10.15282/jmes.13.4.2019.02.0458

    Article  Google Scholar 

  47. bin Azizi MA, bin Mohd Ihsan AKA, bin Nik Mohamed NA (2015) The peridynamic model of viscoelastic creep and recovery. Multidiscip Model Mater Struct 11:579–597. https://doi.org/10.1108/MMMS-03-2015-0017

    Article  Google Scholar 

  48. Nikabdullah N, Azizi MA, Alebrahim R et al (2014) The application of peridynamic method on prediction of viscoelastic materials behaviour. Kuala Lumpur, Malaysia, pp 357–363

  49. Weckner O, Nik Mohamed NA (2013) Viscoelastic material models in peridynamics. Appl Math Comput 219:6039–6043. https://doi.org/10.1016/j.amc.2012.11.090

    Article  MathSciNet  Google Scholar 

  50. Yu H, Chen X (2021) A viscoelastic micropolar peridynamic model for quasi-brittle materials incorporating loading-rate effects. Comput Methods Appl Mech Eng 383:113897. https://doi.org/10.1016/j.cma.2021.113897

    Article  MathSciNet  Google Scholar 

  51. Delorme R, Tabiai I, Laberge Lebel L, Lévesque M (2017) Generalization of the ordinary state-based peridynamic model for isotropic linear viscoelasticity. Mech Time-Depend Mater 21:549–575. https://doi.org/10.1007/s11043-017-9342-3

    Article  Google Scholar 

  52. Madenci E, Oterkus S (2017) Ordinary state-based peridynamics for thermoviscoelastic deformation. Eng Fract Mech 175:31–45. https://doi.org/10.1016/j.engfracmech.2017.02.011

    Article  Google Scholar 

  53. Galadima YK, Oterkus S, Oterkus E et al (2023) Modelling of viscoelastic materials using non-ordinary state-based peridynamics. Eng Comput. https://doi.org/10.1007/s00366-023-01808-9

    Article  Google Scholar 

  54. Behera D, Roy P, Madenci E (2021) Peridynamic modeling of bonded-lap joints with viscoelastic adhesives in the presence of finite deformation. Comput Methods Appl Mech Eng 374:113584. https://doi.org/10.1016/j.cma.2020.113584

    Article  MathSciNet  Google Scholar 

  55. Yaghoobi A, Chorzepa MG (2018) Formulation of symmetry boundary modeling in non-ordinary state-based peridynamics and coupling with finite element analysis. Math Mech Solids 23:1156–1176. https://doi.org/10.1177/1081286517711495

    Article  MathSciNet  Google Scholar 

  56. Cheng Z, Liu Y, Zhao J et al (2018) Numerical simulation of crack propagation and branching in functionally graded materials using peridynamic modeling. Eng Fract Mech 191:13–32. https://doi.org/10.1016/j.engfracmech.2018.01.016

    Article  Google Scholar 

  57. Cheng Z, Zhang G, Wang Y, Bobaru F (2015) A peridynamic model for dynamic fracture in functionally graded materials. Compos Struct 133:529–546. https://doi.org/10.1016/j.compstruct.2015.07.047

    Article  Google Scholar 

  58. Ozdemir M, Kefal A, Imachi M et al (2020) Dynamic fracture analysis of functionally graded materials using ordinary state-based peridynamics. Compos Struct 244:112296. https://doi.org/10.1016/j.compstruct.2020.112296

    Article  Google Scholar 

  59. Nguyen HA, Wang H, Tanaka S et al (2022) An in-depth investigation of bimaterial interface modeling using ordinary state-based peridynamics. J Peridyn Nonlocal Model 4:112–138. https://doi.org/10.1007/s42102-021-00058-x

    Article  MathSciNet  Google Scholar 

  60. Bobaru F, Ha YD (2011) Adaptive refinement and multiscale modeling in 2D peridynamics. Int J Mult Comp Eng 9:635–660. https://doi.org/10.1615/IntJMultCompEng.2011002793

    Article  Google Scholar 

  61. Kilic B, Madenci E (2010) An adaptive dynamic relaxation method for quasi-static simulations using the peridynamic theory. Theor Appl Fract Mech 53:194–204. https://doi.org/10.1016/j.tafmec.2010.08.001

    Article  Google Scholar 

  62. Oterkus S, Madenci E, Agwai A (2014) Peridynamic thermal diffusion. J Comput Phys 265:71–96. https://doi.org/10.1016/j.jcp.2014.01.027

    Article  MathSciNet  Google Scholar 

  63. Dorduncu M, Kutlu A, Madenci E, Rabczuk T (2022) Nonlocal modeling of bi-material and modulus graded plates using peridynamic differential operator. Eng Comput. https://doi.org/10.1007/s00366-022-01699-2

    Article  Google Scholar 

  64. Candaş A, Oterkus E, İmrak CE (2021) Peridynamic simulation of dynamic fracture in functionally graded materials subjected to impact load. Eng Comput. https://doi.org/10.1007/s00366-021-01540-2

    Article  Google Scholar 

  65. Mitts C, Naboulsi S, Przybyla C, Madenci E (2020) Axisymmetric peridynamic analysis of crack deflection in a single strand ceramic matrix composite. Eng Fract Mech 235:107074. https://doi.org/10.1016/j.engfracmech.2020.107074

    Article  Google Scholar 

  66. Hu YL, Madenci E (2016) Bond-based peridynamic modeling of composite laminates with arbitrary fiber orientation and stacking sequence. Compos Struct 153:139–175. https://doi.org/10.1016/j.compstruct.2016.05.063

    Article  Google Scholar 

  67. Williams ML, Landel RF, Ferry JD (1955) The temperature dependence of relaxation mechanisms in amorphous polymers and other glass-forming liquids. J Am Chem Soc 77:3701–3707. https://doi.org/10.1021/ja01619a008

    Article  Google Scholar 

  68. Zhang H, Qiao P (2018) An extended state-based peridynamic model for damage growth prediction of bimaterial structures under thermomechanical loading. Eng Fract Mech 189:81–97. https://doi.org/10.1016/j.engfracmech.2017.09.023

    Article  Google Scholar 

  69. Zhang H, Zhang X, Qiao P (2021) A new peridynamic mixed-mode bond failure model for interface delamination and homogeneous materials fracture analysis. Comput Methods Appl Mech Eng 379:113728. https://doi.org/10.1016/j.cma.2021.113728

    Article  MathSciNet  Google Scholar 

  70. Zhang H, Zhang X, Liu Y, Qiao P (2022) Peridynamic modeling of elastic bimaterial interface fracture. Comput Methods Appl Mech Eng 390:114458. https://doi.org/10.1016/j.cma.2021.114458

    Article  MathSciNet  Google Scholar 

  71. Madenci E, Dorduncu M, Barut A, Phan N (2018) A state-based peridynamic analysis in a finite element framework. Eng Fract Mech 195:104–128. https://doi.org/10.1016/j.engfracmech.2018.03.033

    Article  Google Scholar 

  72. Benzeggagh ML, Kenane M (1996) Measurement of mixed-mode delamination fracture toughness of unidirectional glass/epoxy composites with mixed-mode bending apparatus. Compos Sci Technol 56:439–449. https://doi.org/10.1016/0266-3538(96)00005-X

    Article  Google Scholar 

  73. Mikata Y (2012) Analytical solutions of peristatic and peridynamic problems for a 1D infinite rod. Int J Solids Struct 49:2887–2897. https://doi.org/10.1016/j.ijsolstr.2012.02.012

    Article  Google Scholar 

  74. Chen J, Tian Y, Cui X (2018) Free and forced vibration analysis of peridynamic finite bar. Int J Appl Mech 10:1850003. https://doi.org/10.1142/S1758825118500035

    Article  Google Scholar 

  75. Ozdemir M, Oterkus S, Oterkus E et al (2022) Fracture simulation of viscoelastic membranes by ordinary state-based peridynamics. Procedia Struct Integr 41:333–342. https://doi.org/10.1016/j.prostr.2022.05.039

    Article  Google Scholar 

  76. Al Rashid A, Koҫ M (2021) Creep and recovery behavior of continuous fiber-reinforced 3DP composites. Polymers 13:1644. https://doi.org/10.3390/polym13101644

    Article  Google Scholar 

  77. Albouy W, Vieille B, Taleb L (2013) Experimental and numerical investigations on the time-dependent behavior of woven-ply PPS thermoplastic laminates at temperatures higher than glass transition temperature. Compos A Appl Sci Manuf 49:165–178. https://doi.org/10.1016/j.compositesa.2013.02.016

    Article  Google Scholar 

  78. Pedoto G, Grandidier J-C, Gigliotti M, Vinet A (2023) Assessment and simulation of the thermomechanical tensile and creep behavior of C/PEKK composites for aircraft applications above the glass transition temperature. Compos Struct 318:117069. https://doi.org/10.1016/j.compstruct.2023.117069

    Article  Google Scholar 

  79. Pedoto G, Grandidier J-C, Gigliotti M, Vinet A (2022) Characterization and modelling of the PEKK thermomechanical and creep behavior above the glass transition temperature. Mech Mater 166:104189. https://doi.org/10.1016/j.mechmat.2021.104189

    Article  Google Scholar 

  80. Laurien M, Javili A, Steinmann P (2022) A nonlocal interface approach to peridynamics exemplified by continuum-kinematics-inspired peridynamics. Numer Methods Eng 123:3464–3484. https://doi.org/10.1002/nme.6975

    Article  MathSciNet  Google Scholar 

  81. Wang B, Oterkus S, Oterkus E (2020) Determination of horizon size in state-based peridynamics. Contin Mech Thermodyn. https://doi.org/10.1007/s00161-020-00896-y

    Article  Google Scholar 

  82. Bobaru F, Hu W (2012) The meaning, selection, and use of the peridynamic horizon and its relation to crack branching in brittle materials. Int J Fract 176:215–222. https://doi.org/10.1007/s10704-012-9725-z

    Article  Google Scholar 

  83. Shangkun S, Zihao Y, Junzhi C, Jieqiong Z (2022) Dual-variable-horizon peridynamics and continuum mechanics coupling modeling and adaptive fracture simulation in porous materials. Eng Comput. https://doi.org/10.1007/s00366-022-01730-6

    Article  Google Scholar 

  84. Capodaglio G, D’Elia M, Bochev P, Gunzburger M (2020) An energy-based coupling approach to nonlocal interface problems. Comput Fluids 207:104593. https://doi.org/10.1016/j.compfluid.2020.104593

    Article  MathSciNet  Google Scholar 

  85. Xu X, D’Elia M, Foster JT (2021) A machine-learning framework for peridynamic material models with physical constraints. Comput Methods Appl Mech Eng 386:114062. https://doi.org/10.1016/j.cma.2021.114062

    Article  MathSciNet  Google Scholar 

  86. Le QV, Bobaru F (2018) Surface corrections for peridynamic models in elasticity and fracture. Comput Mech 61:499–518. https://doi.org/10.1007/s00466-017-1469-1

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Mr. Amirreza Moradi for his invaluable help in FEM and XFEM simulations of the problems.

Funding

The authors received no financial support for the research, authorship, and/or publication of this article.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Manouchehr Salehi.

Ethics declarations

Conflict of interest

The authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendices

Appendix A: Modified bond-based true strain tensor

The MBB-PD model employs imaginary local elements for every bond to determine all deformation components and their corresponding true strain components. As displayed in Fig. 

Fig. 14
Fig. 14
Full size image

The local element and participating points in the undeformed body and deformed body due to a and b EHNSB, c and d EVNSB, e and f ESSB

14, the interaction between \(j\) and \(k\) in the undeformed configuration can be an EHNSB, EVNSB, or ESSB. The imaginary local rectangular elements are utilized to capture the transformation of these bonds during deformation.

As the deformed local element of the EHNSB, illustrated in Fig. 14b, assuming infinitesimal strain, the EHNSB is associated with normal, transverse, and shear true strains that are estimated as:

$${\varepsilon }_{11 }^{x}\approx \frac{{u}_{1\left(j\right)}-{u}_{1\left(k\right)}}{{y}_{1\left(j\right)}-{y}_{1\left(k\right)}}$$
$$\begin{array}{c}{\varepsilon }_{22}^{x}\approx \frac{1}{2}\left(\frac{{u}_{2\left(a\right)}-{u}_{2\left(b\right)}}{{y}_{2\left(a\right)}-{y}_{2\left(b\right)}}+\frac{{u}_{2\left(c\right)}-{u}_{2\left(d\right)}}{{y}_{2\left(c\right)}-{y}_{2\left(d\right)}}\right)\end{array}$$
$${\varepsilon }_{12}^{x}\approx \frac{1}{2}\left\{\left(\frac{{u}_{1\left(a\right)}-{u}_{1\left(b\right)}}{{y}_{2\left(a\right)}-{y}_{2\left(b\right)}}+\frac{{u}_{2\left(j\right)}-{u}_{2\left(k\right)}}{{y}_{1\left(j\right)}-{y}_{1\left(k\right)}}\right)+\left(\frac{{u}_{1\left(c\right)}-{u}_{1\left(d\right)}}{{y}_{2\left(c\right)}-{y}_{2\left(d\right)}}+\frac{{u}_{2\left(j\right)}-{u}_{2\left(k\right)}}{{y}_{1\left(j\right)}-{y}_{1\left(k\right)}}\right)\right\}$$
(38)

where \({\varepsilon }_{\alpha }^{x}, \alpha \in \left\{\mathrm{11,22,12}\right\}\) indicate the normal axial, transverse, and shear true strain components of an EHNSB. Additionally, the variables \({u}_{\alpha \left(\beta \right)}\) and \({y}_{\alpha \left(\beta \right)}\) represent the \(\alpha \) components of the displacement and deformed position of the material point \(\beta \), respectively.

Similar to the EHNSB, the EVNSB’s true strain components, based on the deformed local element of the EVNSB (Fig. 14d), can be approximated as follows:

$${\varepsilon }_{11}^{y}\approx \frac{1}{2}\left(\frac{{u}_{1\left(a\right)}-{u}_{1\left(b\right)}}{{y}_{1\left(a\right)}-{y}_{1\left(b\right)}}+\frac{{u}_{1\left(c\right)}-{u}_{1\left(d\right)}}{{y}_{1\left(c\right)}-{y}_{1\left(d\right)}}\right)$$
$${\varepsilon }_{22}^{y}\approx \frac{{u}_{2\left(j\right)}-{u}_{2\left(k\right)}}{{y}_{2\left(j\right)}-{y}_{2\left(k\right)}} $$
$${\varepsilon }_{12}^{y}\approx \frac{1}{2}\left\{\left(\frac{{u}_{1\left(j\right)}-{u}_{1\left(k\right)}}{{y}_{2\left(j\right)}-{y}_{2\left(k\right)}}+\frac{{u}_{2\left(a\right)}-{u}_{2\left(b\right)}}{{y}_{1\left(c\right)}-{y}_{1\left(d\right)}}\right)+\left(\frac{{u}_{1\left(j\right)}-{u}_{1\left(k\right)}}{{y}_{2\left(j\right)}-{y}_{2\left(k\right)}}+\frac{{u}_{2\left(c\right)}-{u}_{2\left(d\right)}}{{y}_{1\left(c\right)}-{y}_{1\left(d\right)}}\right)\right\}$$
(39)

where \({\varepsilon }_{\alpha }^{y}, \alpha \in \left\{\mathrm{11,22,12}\right\}\) are the normal axial, transverse, and shear true strain components of an EVNSB.

The deformed local element of ESSB is indicated in Fig. 14f. Thus, the true strains of ESSB can be calculated as follows:

$$\begin{array}{c}{\varepsilon }_{11}^{xy}\approx \frac{1}{2}\left(\frac{{u}_{1\left(j\right)}-{u}_{1\left(b\right)}}{{y}_{1\left(j\right)}-{y}_{1\left(b\right)}}+\frac{{u}_{1\left(k\right)}-{u}_{1\left(a\right)}}{{y}_{1\left(k\right)}-{y}_{1\left(a\right)}}\right)\end{array}$$
$${\varepsilon }_{22}^{xy}\approx \frac{1}{2}\left(\frac{{u}_{2\left(j\right)}-{u}_{2\left(a\right)}}{{y}_{2\left(j\right)}-{y}_{2\left(a\right)}}+\frac{{u}_{2\left(k\right)}-{u}_{2\left(b\right)}}{{y}_{2\left(k\right)}-{y}_{2\left(b\right)}}\right)$$
$${\varepsilon }_{12}^{xy}\approx \frac{1}{2}\left\{\left.\begin{array}{c}\left(\frac{{u}_{1\left(j\right)}-{u}_{1\left(a\right)}}{{y}_{2\left(j\right)}-{y}_{2\left(a\right)}}+\frac{{u}_{2\left(j\right)}-{u}_{2\left(b\right)}}{{y}_{1\left(j\right)}-{y}_{1\left(b\right)}}\right)+\left(\frac{{u}_{1\left(k\right)}-{u}_{1\left(b\right)}}{{y}_{2\left(k\right)}-{y}_{2\left(b\right)}}+\frac{{u}_{2\left(j\right)}-{u}_{2\left(a\right)}}{{y}_{1\left(j\right)}-{y}_{1\left(a\right)}}\right)\end{array}\right\}\right.$$
(40)

where \({\varepsilon }_{\alpha }^{xy}, \alpha \in \left\{11, 22, 12\right\}\) are the normal horizontal true strain, normal vertical true strain, and true shear strain of an ESSB.

Appendix B: Modified bond-based correction factors

A combined loading condition model obtains the components of the MBB-PD correction factor matrix in the CCM and PD frameworks. The process of calibration relies on comparing the strain energy densities that are computed from each framework. When the strain energies of PD and CCM are made equal, it produces the components of the correction factor matrix [45]:

$${\lambda }_{xx}=2{V}_{\left(j\right)}{\left(m\left(m+1\right)\Delta x+\sum_{k=1}^{{N}_{\left(j\right)}^{S}}\begin{array}{c}\left({\left(1+\frac{1}{2}\mathrm{ tan}{\theta }_{jk}\right)}^{2}\begin{array}{c}\left|\begin{array}{c}{\overrightarrow{\xi }}_{jk}\end{array}\right|\end{array}\right)\end{array}\right)}^{-1}$$
$${\lambda }_{yy}=2{{V}_{\left(j\right)}\left(m\left(m+1\right)\Delta y+\sum_{k=1}^{{N}_{\left(j\right)}^{S}}\begin{array}{c}\left({\left(1+\frac{1}{2}\mathrm{ cot}{\theta }_{jk}\right)}^{2}\begin{array}{c}\left|\begin{array}{c}{\overrightarrow{\xi }}_{jk}\end{array}\right|\end{array}\right)\end{array}\right)}^{-1}$$
$${\lambda }_{xy}=2{V}_{\left(j\right)}{\left(\sum_{k=1}^{{N}_{\left(j\right)}^{S}}\begin{array}{c}\left({\left(\mathit{csc}{2\theta }_{jk}+1\right)}^{2}\begin{array}{c}\left|\begin{array}{c}{\overrightarrow{\xi }}_{jk}\end{array}\right|\end{array}\right)\end{array}\right)}^{-1}$$
(41)

where \(\Delta x\) and \(\Delta y\) are the spacing between two adjacent particles in the horizontal and vertical directions, respectively, and \(m=\frac{\delta }{\Delta x}\). With uniform discretization (\(\Delta x=\Delta y=\Delta \)) for a square symmetric region, they can be simplified as follows:

$${\lambda }_{xx}={\lambda }_{yy}=\frac{2}{m\left(m+1\right)V\Delta }$$
$${\lambda }_{xy}=\frac{2}{{m}^{2}{\left(m+1\right)}^{2}V\Delta }$$
(42)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Masoumi, A., Salehi, M. & Ravandi, M. Modified bond-based peridynamic approach for modeling the thermoviscoelastic response of bimaterials with viscoelastic–elastic interface. Engineering with Computers 40, 1653–1676 (2024). https://doi.org/10.1007/s00366-023-01882-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Version of record:

  • Issue date:

  • DOI: https://doi.org/10.1007/s00366-023-01882-z

Keywords

Profiles

  1. Manouchehr Salehi
  2. Mohammad Ravandi