Numerical Methods for Experimental Mechanics (Hardcover, 2001 ed.)

The purpose of this book is to place a resource in the hands of experimental mechanics researchers to enable them to understand and to obtain a working familiarity with certain of the numerical methods particularly useful to the field. The book is organized to permit readers to study the methods and to observe their application in experimental problems. It is also intended to encourage readers to directly apply the methods to the same problems or to similar problems of their choosing. To this end, computer programs are available electronically, together with data, for easy application. Program listings are given in the appendix. There are four chapters which make up the central coverage of the text. The first of these deals with least-square methods of problem solution, both for curve fitting and for general solution of overdetermined problems. Nonlinear least-squares methods are included. Secondly, splines; specifically smoothed splines, are covered, including specification of boundary conditions for the latter. Use for differentiation is emphasized with attention to control of possible excesses in smoothing. Transform methods are the third major area covered; both the Discrete Fourier Transform and the Fast Fourier Transform. Their combined use is described for appropriate problems. Finally, digital filters are included, principally the Butterworth low pass filter. Coverage also includes different filter orders, high pass filters and the two-pass filter technique. The author has had experience with the four areas covered and with all ofthe example problems described in the text.

General

Imprint:	Springer
Country of origin:	Netherlands
Release date:	2001
First published:	August 2001
Authors:	Donald Berghaus
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Hardcover
Pages:	297
Edition:	2001 ed.
ISBN-13:	978-0-7923-7403-9
Categories:	Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General Promotions
LSN:	0-7923-7403-7
Barcode:	9780792374039

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