Numerical Laplace Transformation and Inversion Using the Fast Fourier Transform

The Laplace transformation is known as one of the most powerful mathematical techniques for solving wide range of problems in engineering. For its application to practical problems, many authors have extensively studied methods of numerical inversion. On the other hand, the method of numerical trans...

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Veröffentlicht in:TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A 1991/10/25, Vol.57(542), pp.2523-2528
Hauptverfasser: INOUE, Hirotsugu, KAMIBAYASHI, Minoru, KISHIMOTO, Kikuo, SHIBUYA, Toshikazu, KOIZUMI, Takashi
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container_end_page 2528
container_issue 542
container_start_page 2523
container_title TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A
container_volume 57
creator INOUE, Hirotsugu
KAMIBAYASHI, Minoru
KISHIMOTO, Kikuo
SHIBUYA, Toshikazu
KOIZUMI, Takashi
description The Laplace transformation is known as one of the most powerful mathematical techniques for solving wide range of problems in engineering. For its application to practical problems, many authors have extensively studied methods of numerical inversion. On the other hand, the method of numerical transformation has not been studied very much. For this reason, most of the applications were limited to theoretical or numerical analysis and there were few applications to experimental analysis. To overcome this problem, both of the numerical transformation and inversion are studied in this paper. Numerical accuracy is evaluated and discussed using two test functions, sinusoidal and step function. A chart is presented for determining the parameters of computation under a specified accuracy.
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ispartof Transactions of the Japan Society of Mechanical Engineers Series A, 1991/10/25, Vol.57(542), pp.2523-2528
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1884-8338
language eng ; jpn
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source J-STAGE Free; EZB-FREE-00999 freely available EZB journals
subjects Experimental Stress Analysis
Fast Fourier Transform
Laplace Transform
Numerical Analysis
title Numerical Laplace Transformation and Inversion Using the Fast Fourier Transform
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