Abstract
Explanation of the methods, techniques, and theoretical aspects of experimental structural dynamics requires a fundamental understanding of several mathematical concepts. Data acquisition and analysis and their relationship to structural dynamics theory rely on an understanding of domains and transforms. Theoretical and computational methods in structural dynamics (modeling, correlation, parameter estimation, etc.) make use of linear algebra concepts and techniques. This chapter presents the fundamentals of these concepts and methods.
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Abbreviations
- ω :
-
Frequency, radians/second
- f :
-
Frequency, Hertz (cycles/second)
- t :
-
time, seconds
- s :
-
Laplace variable, radians/sec
- j :
-
\( \sqrt{-1} \)
- a n, bn:
-
Fourier Series coefficients
- c n :
-
Fourier Series coefficients (complex form)
- θ :
-
Angle, radians
- [A]:
-
Matrix
- {x}:
-
Vector
- \( \dot{x} \) :
-
First time derivative of x
- \( \ddot{x} \) :
-
Second time derivative of x
- [A]nxm:
-
Matrix consisting of n rows and m columns
- σ :
-
Eigenvalue
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© 2022 The Society for Experimental Mechanics
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Van Karsen, C., Barnard, A. (2022). Applied Math for Experimental Structural Dynamics. In: Allemang, R., Avitabile, P. (eds) Handbook of Experimental Structural Dynamics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4547-0_32
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DOI: https://doi.org/10.1007/978-1-4614-4547-0_32
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-4546-3
Online ISBN: 978-1-4614-4547-0
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