## Abstract

The hereditary and/or convolution integrals associated with linear viscoelastic material constitutive relations based on Prony series [1] characterization are recast into ordinary nonconvolution time integrals, which can be more efficiently evaluated analytically and numerically. Application of this protocol greatly reduces computational time, CPU usage and memory requirements used to solve linear temperature dependent and/or independent viscoelastic problems involving integral-differential equations with variable coefficients. The formulation includes temperature dependent materials with time and space dependent temperatures as well as stresses due to thermal expansions. Approximate approaches for dealing with time dependent temperatures are derived and solutions to non-convolution integral equations as well as to differential equations with variable coefficients are formulated. Relaxation time consistent relations are derived for isotropic viscoelastic materials. Applications of Galerkin and Runge-Kutta methods to viscoelastic solutions are discussed and evaluated. These protocols include solutions to IODEs and IPDEs with variable coefficients. An illustrative algorithm to be used in conjunction with differential equation solvers such as MATLAB’s™ ODE45 has been developed which allows for numerical solutions simultaneously in both real and reduced time spaces without approximations of linear and nonlinear integral differential equations with variable or without coefficients. Similar protocols could be readily extended to other software such as MATHEMATICA™, MAPLE™, etc.

Original language | English (US) |
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Pages (from-to) | 259-291 |

Number of pages | 33 |

Journal | Mathematics in Engineering, Science and Aerospace |

Volume | 12 |

Issue number | 1 |

State | Published - 2021 |

## Keywords

- convolution integrals
- hereditary integrals
- integral partial differential equations
- numerical integration
- Prony series
- viscoelasticity

## ASJC Scopus subject areas

- Modeling and Simulation
- Aerospace Engineering
- Applied Mathematics