An Indirect Method for Converting a Shock Response Spectrum Specification to a New Q Value

 Aerospace pyrotechnic shock response spectrum (SRS) specifications are almost always given with an amplification factor Q=10 Corresponding time history waveforms for the base input acceleration are almost never given with the specifications Users are allowed to synthesize their own waveforms to satisfy the SRS for… Read more

Matlab Batch Process via Vibrationdata GUI

I have added batch processing as an option for time histories as shown above.  I will add more options in upcoming revisions.  The Vibrationdata Matlab GUI package is given at: Vibrationdata Matlab Signal Analysis Package Here are some sample input files for practicing batch processing: batch_sample.mat… Read more

Webinar 22 – Integration and Differentiation of Time Histories & Spectral Functions

PowerPoint File: webinar_22_integration_part_2.ppt Audio/Visual File: NESC Academy Integration and Differentiation – Recommend viewing in Firefox with Sliverlight Plugin * * * ASCII Text Data Files: navmat_spec.psd two_wheeled_trailer_vertical.txt * * * Matlab script: Vibrationdata Signal Analysis Package * * * Python version: Unit_22_integration_part_2_python.ppt Python Signal Analysis Package GUI… Read more

Pierson-Moskowitz Spectrum

The Pierson–Moskowitz (PM) spectra is an empirical relationship that defines the distribution of energy with frequency within the ocean. The result is given as a wave height power spectra density. Developed in 1964, the PM spectrum is one of the simplest descriptions for the energy… Read more

Webinar 21 – Integration & Differentiation of Time Histories

PowerPoint File: Unit_21_integrate_differentiate.ppt Audio/Visual File: NESC Academy  Integration and Differentiation, Part 1 – Recommend viewing in Firefox with Sliverlight Plugin * * * Pyrotechnic Shock File: pyro_test.txt – time(sec) & accel(G) * * * Matlab script: Vibrationdata Signal Analysis Package * * * Python Version: Unit_21_integrate_differentiate_python.ppt Python… Read more

Webinar 19 – Digital Filtering

PowerPoint File: webinar_19_digital_filtering.ppt Audio/Visual File: NESC Academy Digital Filtering – Recommend viewing in Firefox with Sliverlight plugin * * * Python version: webinar_19_digital_filtering_python.ppt Python script: Python Signal Analysis Package GUI * * * Data:  sm.txt     –  unscaled relative displacement vs. time (sec) * * * Reference… Read more

Webinar 18 – Force Vibration Response Spectrum

PowerPoint File: webinar_18_force_VRS.pptx Audio/Visual File: NESC Academy Force_VRS * * * Python version: webinar_18_force_VRS_python.pptx – Recommend viewing in Firefox with Sliverlight plugin Python script: Python Signal Analysis Package GUI * * * Reference Papers: The Steady-state Response of Single-degree-of-freedom System to a Harmonic Excitation Force: sforce.pdf… Read more

Webinar 17 – SDOF Response to Applied Force

PowerPoint File: webinar_17_SDOF_force.pptx Audio/Visual File: NESC Academy SDOF – Response to Applied Force – Recommend viewing in Firefox with Sliverlight plugin * * * Reference Papers: T. Irvine, Machine Mounting for Vibration Attenuation, Rev B, Vibrationdata, 2000 link Bruel & Kjaer Booklets: Mobility Measurement link Modal… Read more