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RELFIT: A program for determining prony series fits to measured relaxation data

Authors: Chambers, R.S.;

RELFIT: A program for determining prony series fits to measured relaxation data

Abstract

Viscoelastic materials are often characterized in terms of stress relaxation moduli which decay in time. Finite element programs which model viscoelastic materials frequently require that these relaxation functions be defined as an exponential series (i.e., Prony Series) to exploit the numerical advantages of developing recursive equations for evaluating hereditary integrals. Obtaining these data fits can be extremely difficult when the data is spread over many decades in the logarithm of time. RELFIT is a nonlinear optimization program that iteratively determines the Prony series coefficients and relaxation times so as to minimize the least squares error in the data fit. An overview of the code, a description of the required inputs (i.e., users`s instructions), and a demonstration problem are presented.

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United States
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Keywords

Optimization, Computers, Stress Relaxation, 99 Mathematics, 530, Elasticity, Management, Miscellaneous, 510, 42 Engineering Not Included In Other Categories, Law, Iterative Methods, Information Science, R Codes

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average