Application of the Characteristic Time Expansion Method for Estimating Nonlinear Restoring Forces
Author(s) -
Yung-Wei Chen
Publication year - 2013
Publication title -
journal of applied mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.307
H-Index - 43
eISSN - 1687-0042
pISSN - 1110-757X
DOI - 10.1155/2013/841690
Subject(s) - restoring force , solver , nonlinear system , regularization (linguistics) , power series , vibration , inverse , polynomial , mathematics , inverse problem , stability (learning theory) , mathematical optimization , instability , computer science , mathematical analysis , structural engineering , mechanics , geometry , physics , quantum mechanics , artificial intelligence , machine learning , engineering
This paper proposes a characteristic time expansion method (CTEM) for estimating nonlinear restoring forces. Because noisy data and numerical instability are the main causes of numerical developing problems in an inverse field, a polynomial to identify restoring forces is usually adopted to eliminate these problems. However, results of the way doing are undesirable for a high order of polynomial. To overcome this difficulty, the characteristic length (CL) is introduced into the power series, and a natural regularization technique is applied to ensure numerical stability and determine the existence of a solution. As compared to previous solutions presented in other researches, the proposed method is a desirable and accurate solver for the problem of restoring the force in the inverse vibration problems
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