Fatigue Damage Spectrum of a Random Vibration
Christian Lalanne
Abstract
Christian Lalanne
Abstract
The fatigue damage spectrum (FDS) of a random vibration is obtained by plotting the variations of damage to a single-degree-of-freedom linear system versus its natural frequency for a given damping ratio. In this chapter, FDS is derived from a power spectral density. The chapter then discusses the calculation of the FDS with Dirlik's probability density. The up-crossing risk fatigue damage spectrum (UFS) gives the largest value of the damage for a given risk of exceedance which can be chosen as very low. To this effect, it could be used to size a structure instead of the FDS when this spectrum is used. It can also enable us to compare the severity of a random vibration with that of a series of shocks or with a nonstationary phenomenon. Finally, the chapter describes the sinusoidal vibration superimposed on a broadband random vibration, and the swept sine superimposed on a broadband random vibration.
OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The fatigue damage spectrum (FDS) of a random vibration is obtained by plotting the variations of damage to a single-degree-of-freedom linear system versus its natural frequency for a given damping ratio. In this chapter, FDS is derived from a power spectral density. The chapter then discusses the calculation of the FDS with Dirlik's probability density. The up-crossing risk fatigue damage spectrum (UFS) gives the largest value of the damage for a given risk of exceedance which can be chosen as very low. To this effect, it could be used to size a structure instead of the FDS when this spectrum is used. It can also enable us to compare the severity of a random vibration with that of a series of shocks or with a nonstationary phenomenon. Finally, the chapter describes the sinusoidal vibration superimposed on a broadband random vibration, and the swept sine superimposed on a broadband random vibration.
Key concepts: Spectral density, Random vibration, Vibration, Sine, Vibration fatigue, Spectrum (functional analysis), Series (stratigraphy), Acoustics