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Numerical Methods For Experimental Mechanics Book

Numerical Methods For Experimental Mechanics
Numerical Methods For Experimental Mechanics, Numerical Methods for Experimental Mechanics is a resource for engineering mechanics researchers to enable them to understand and to obtain a working familiarity with important numerical methods particularly useful in the field. The book is organized to p, Numerical Methods For Experimental Mechanics has a rating of 2 stars
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Numerical Methods For Experimental Mechanics, Numerical Methods for Experimental Mechanics is a resource for engineering mechanics researchers to enable them to understand and to obtain a working familiarity with important numerical methods particularly useful in the field. The book is organized to p, Numerical Methods For Experimental Mechanics
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  • Numerical Methods For Experimental Mechanics
  • Written by author D. G. Berghaus
  • Published by Springer-Verlag New York, LLC, August 2001
  • Numerical Methods for Experimental Mechanics is a resource for engineering mechanics researchers to enable them to understand and to obtain a working familiarity with important numerical methods particularly useful in the field. The book is organized to p
  • Numerical Methods for Experimental Mechanics is a resource for engineering mechanics researchers to enable them to understand and to obtain a working familiarity with important numerical methods particularly useful in the field. The book is organized to p
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Preface. 1. Statistical Evaluation for Data Quality. 2. Least-Squares Methods: The concept of "least-squares". Coverage of curve fitting, and general application of least squares. Care with posing least-squares problems and solutions. Application to "full field" stress analysis. Nonlinear least-squares approximations. Application to study of mechanical material properties. 3. The Smoothed Spline: Piecewise approximation; spline functions. The smoothed spline; specifying boundary second derivatives. Applications to photoelasticity and to deformation and strain analysis of extrusion. 4. Fourier Transform Methods: Fourier series and the discrete Fourier transform. The Fast Fourier transform, combined use of DFT and FF. Application to electromechanical transducer signals and to gait analysis. 5. Digital Filters: Filtering of continuous and then discrete experimental data. The cutoff frequency. The difference equation and the solution for filtered data. Single pass and two-pass filters; higher order filters; a high pass filter. Filter applications to transducer data. 6. Differentiation and Integration: Differentiation, integration, and discrete experimental data. Local approximation functions to compute derivatives. Integration using Newton-Cotes formulas. Example applications using transducer data. Appendix: Computer programs for all methods described. Available electronically Compiled programs, data to reproduce results in book, or for use with reader's data.


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Numerical Methods For Experimental Mechanics, Numerical Methods for Experimental Mechanics is a resource for engineering mechanics researchers to enable them to understand and to obtain a working familiarity with important numerical methods particularly useful in the field. The book is organized to p, Numerical Methods For Experimental Mechanics

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