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Titlebook: Handbook of Experimental Structural Dynamics; Randall Allemang,Peter Avitabile Living reference work 20200th edition History of Experimen

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https://doi.org/10.1007/978-3-658-43033-7variations of their properties as a function of environmental or operational loadings and support conditions. While overloading can produce severe but recoverable changes in modal properties, in the order of 30%, environmental conditions like temperature and humidity can produce state changes, parti
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https://doi.org/10.1007/978-3-662-47110-4 a modal test needs to be designed; otherwise, objectives may not be fulfilled or time and effort may be poorly used. The issues discussed in this chapter include the purpose of the test, excitation considerations, response measurements, support conditions, measurement quality criteria, and consider
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H. Hamperl,E. Hecker,C. G. Schmidterived substructures to estimate the system response of the coupled substructures. A unifying theoretical framework in the physical, modal or frequency domain is reviewed with examples. The major issues that have hindered experimental based substructures are addressed. An example is demonstrated wit
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https://doi.org/10.1007/978-3-658-20211-8y require reduction due to the large size of the model, or the test data may be expanded to the size of the finite element model. Model reduction and model expansion techniques are presented first. Correlation tools typically deployed are then presented. Some additional commentary related to the tes
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Andreas Vogel,Christina Holtz-Bachalops the frequency response function from the perspective of experimentally measured system excitations and responses. Experimental measurement and numerical processing techniques are presented that allow minimization of the impact of measurement noise and signal processing errors.
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https://doi.org/10.1007/978-3-658-16855-1t of a linear system in the frequency domain, at each frequency, is equal to the product of the input spectrum at that frequency and the frequency response at the same frequency. For random vibrations, correlation functions and their frequency counterparts, spectral densities, are the tools used to
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