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・ Operational Guidelines for the Implementation of the World Heritage Convention
・ Operational historian
・ Operational history of the Dornier Do 17
・ Operational history of the Luftwaffe (1939–45)
・ Operational history of the Savoia-Marchetti SM.81
・ Operational instruments of the Royal Observer Corps
・ Operational intelligence
・ Operational Land Imager
・ Operational level of war
・ Operational loads monitoring
・ Operational maintenance
・ Operational manoeuvre group
・ Operational Medal for Southern Africa
・ Operational Medical Orderly
・ Operational Mentoring and Liaison Team
Operational Modal Analysis
・ Operational objective
・ Operational plan
・ Operational planning
・ Operational Programme Italy – Maritime France 2007 – 2013
・ Operational Reactor Safeguard Examination
・ Operational reporting
・ Operational Requirement
・ Operational Requirement F.155
・ Operational Research CONsultancy
・ Operational Research Society
・ Operational Response Group
・ Operational responsiveness
・ Operational risk
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Operational Modal Analysis : ウィキペディア英語版
Operational Modal Analysis
Ambient modal identification, also known as Operational Modal Analysis (OMA), aims at identifying the modal properties of a structure based on vibration data collected when the structure is under its operating conditions, i.e., no initial excitation or known artificial excitation. The modal properties of a structure include primarily the natural frequencies, damping ratios and mode shapes. In an ambient vibration test the subject structure can be under a variety of excitation sources which are not measured but are assumed to be 'broadband random'. The latter is a notion that one needs to apply when developing an ambient identification method. The specific assumptions vary from one method to another. Regardless of the method used, however, proper modal identification requires that the spectral characteristics of the measured response reflect the properties of the modes rather than those of the excitation.
==Pros and Cons==
Implementation economy is one primary advantage of ambient vibration tests as only the (output) vibration of the structure needs to be measured. This is particularly attractive for civil engineering structures (e.g., buildings, bridges) where it can be expensive or disruptive to carry out free vibration or forced vibration tests (with known input).
Identifying modal properties using ambient data does have disadvantages:
*The identification methods are more sophisticated. As the loading is not measured, in the development of identification method it needs to be modeled (by some stochastic process) or its dynamic effects on the measured response have to be removed. Otherwise it is not possible to explain the characteristics in the data based solely on the modal properties.
*Without loading information the identified modal properties can have significant identification uncertainties. In particular, the results are as good as the broadband assumption applied.
*The identified modal properties only reflect the properties at the ambient vibration level, which is usually lower than the serviceability level or other design cases of interest. This is especially relevant for the damping ratio which is commonly perceived to be amplitude-dependent.

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