Presentation is loading. Please wait.

Presentation is loading. Please wait.

Integration and Differentiation of Time Histories & Spectral Functions

Similar presentations


Presentation on theme: "Integration and Differentiation of Time Histories & Spectral Functions"— Presentation transcript:

1 Integration and Differentiation of Time Histories & Spectral Functions
Unit 22 Integration and Differentiation of Time Histories & Spectral Functions

2 PSD Types PSDs can be calculated for Acceleration Velocity
Displacement Force Pressure or Stress Strain Acceleration PSDs are very common in the aerospace industry. But some other examples are given in the following slides.

3 Tohoku-oki Earthquake, 11 March 2011
Displacement PSD Velocity time histories measured by geophones can be integrated to displacement.

4 Ocean Wave Height Measurement
A 'Waverider buoy' is a surface following buoy anchored to the sea bed by means of an elastic mooring An accelerometer mounted within the buoy registers the rate at which the buoy is rising or falling as it follows the pattern of waves The acceleration signal can be converted to vertical displacement by double integration The displacement values are relayed to a recording station on the shore

5 Displacement Power Spectral Density
The wind speed is 12 m/sec at 19.5 m above the mean ocean surface level. vibrationdata > Miscellaneous > Wind & Waves > Pierson-Moskowitz Spectrum

6 Fluctuating Wind Velocity Measurement
Anemometer types Hot-wire Pulse-width modulation Laser Doppler Sonic Acoustic resonance Sonic anemometers ultrasonic sound waves to measure wind velocity. They measure wind speed based on the time of flight of sonic pulses between pairs of transducers.

7 Horizontal Gustiness in Strong Winds
The wind speed is 12m/sec at 10 m above the ground. vibrationdata > Miscellaneous > Wind & Waves > Davenport-King Spectrum

8 Fourier Transforms The Fourier transform X(f) for a continuous time displacement series x(t) is defined as The velocity Fourier transform V(f) is The acceleration Fourier transform A(f) is

9 Fourier Transform Integration & Differentiation
Fourier Transforms Referenced to Displacement Fourier Transform Parameter Value displacement X velocity -j  X acceleration 2 X j = sqrt(-1) ω = angular frequency (rad/sec) Fourier Transforms Referenced to Acceleration Fourier Transform Parameter Value acceleration A velocity A/(-j) displacement A/2

10 PSD Integration & Differentiation
PSDs Referenced to Displacement PSD Parameter Value displacement X velocity 2 X acceleration 4 X ω = angular frequency (rad/sec) PSDs Referenced to Acceleration PSD Parameter Value acceleration A velocity A/2 displacement A/4

11 PSD Spectral Moments W(f) is a one-sided PSD.
These relationships are useful for fatigue, which will be covered in a future webinar. The spectral moment M j is W(f) is a one-sided PSD. The index j may be an integer or non-integer.

12 PSD Spectral Moments (cont)
The rate of zero up-crossings, or effective frequency, can be estimated as The rate of peaks, or rainflow fatigue cycle rate, is

13 Navmat P9492 Acceleration File: navmat_spec.psd vibrationdata >
power spectral density > overall RMS

14 Navmat P Velocity

15 Navmat P Displacement

16 Navmat P9492 Summary Overall levels Acceleration = 6.06 GRMS
= G (3-sigma) Velocity = in/sec RMS = in/sec (3-sigma) Displacement = inch RMS = inch (3-sigma) Input PSD Statistics (from Spectral Moments) Rate of Up-zero crossings = Hz Rate of peaks = Hz

17 SDOF Response to Navmat Base Input
File: navmat_spec.psd vibrationdata > power spectral density > SDOF Response to Base Input 60 second duration

18 SDOF Response Summary Calculated from acceleration PSD.
Maximum expected peak from Rayleigh distribution = sigma Absolute Acceleration = GRMS = sigma G = sigma G Absolute Displacement = inches RMS Pseudo Velocity = inch/sec RMS = inch/sec 3-sigma = sigma inch/sec Relative Displacement = inches RMS = inches 3-sigma Acceleration Rate of Up-zero crossings = Hz Rate of peaks = Hz Calculated from acceleration PSD. Useful for fatigue analysis.

19 MIL-STD-810G, Two-Wheeled Trailer Vertical, Acceleration
File: two_wheeled_trailer_vertical.txt

20 MIL-STD-810G, Two-Wheeled Trailer Vertical, Velocity

21 MIL-STD-810G, Two-Wheeled Trailer Vertical, Displacement

22 MIL-STD-810G, Two-Wheeled Trailer Vertical
Overall levels Acceleration = 4.45 GRMS = 13.4 G (3-sigma) Velocity = 11.7 in/sec RMS = 35.2 in/sec (3-sigma) Displacement = inch RMS = inch (3-sigma) Input PSD Statistics Rate of Up-zero crossings = Hz Rate of peaks = Hz


Download ppt "Integration and Differentiation of Time Histories & Spectral Functions"

Similar presentations


Ads by Google