作者: Jung-Eun Bae , Kwang Soo Cho
DOI: 10.1122/1.4922851
关键词: Chebyshev polynomials 、 Power series 、 Dynamic data 、 Applied mathematics 、 Viscoelasticity 、 Logarithm 、 Laplace transform 、 Elastic modulus 、 Mathematics 、 Spectrum (functional analysis)
摘要: Various algorithms for determining relaxation time spectrum have been to the fore, because plays an important role in interconversion between various viscoelastic functions. In this study, a new algorithm is developed by means of double-logarithmic power series approximation and Levenberg–Marquardt method. Compared with most previous algorithms, applicable not only dynamic data but also Laplace transform modulus, which available optical from generalized Stokes–Einstein equation or creep ringing. It worth noticing that determines continuous without any additional parameters precedent procedures. This paper suggests such framework newly its applications kinds data.