Using Recorded Data to Improve SRS Test Development
1. Abstract
Shock Response Spectra (SRS) testing uses a synthesized pulse to drive a shaker, simulating a transient event. Originally developed to replicate Seismic shocks, the SRS approach is also widely used for defense and aerospace applications.
Test engineers can select from a variety of synthetic waveform methods to create an SRS pulse, with the best choice depending on the application. For example, the Burst Random and Enveloped Burst Random methods produce long duration stationary random waveforms that work well in earthquake simulation tests. However, often there is no synthetic waveform that closely matches a realworld transient event; engineers need a better, more realistic way to create an SRS test.
This paper focuses on a unique approach, where the actual recorded field environment can be modified to meet or exceed a specified SRS. This provides a time waveform similar to the original field environment and, more importantly, it has the same frequency response function as the original field environment.
The paper will first introduce the basic concepts of SRS, then step thru the details involved in using the new method with currently available software tools. Topics include creating enveloped data from data recordings and then generating an SRS test based on the enveloped data.
The final section of the paper will evaluate an enveloped environment SRS waveform by comparing it with various standard synthetic waveforms. The visual evidence makes a compelling case for the new approach.
2. Introduction
Background
Analyzing a shock pulse in the frequency domain provides much more insight than simply looking at the same pulse in the time domain. A Fast Fourier Transform (FFT) can make the conversion from time to frequency domain data, providing both the magnitude of the shock pulse accelerations and the phase information about the shock pulses at each frequency; from an FFT it is possible to recreate the original shock pulse.
The FFT calculation is an excellent tool for analyzing a continuous, repetitive waveform; it produces a PSD which displays an average acceleration for each frequency bin in the waveform. However, an FFT is not very useful in mechanical shock studies. Test engineers are interested in the maximum shock acceleration at each frequency bin rather than the average, because the large shock accelerations are what cause damage. This discrepancy leads test engineers to study mechanical shock using a Shock Response Spectra (SRS) approach.
An SRS models response channels using a theoretical series of single degree of freedom (SDOF) massdamperspring oscillators. The natural frequency of each SDOF oscillator defines the horizontal axis of a plot and a computed response for each oscillator is plotted on the vertical axis. This computed response is the absolute maximum acceleration of the SDOF oscillator to the pulse, referred to as the maximax, not the average acceleration.
The SRS calculation does not provide phase data, so it cannot be used to replicate the original shock pulse. Nor is the maximum acceleration value of the SRS the actual maximum acceleration of the original shock pulse. But despite not providing a replica of the original shock data, an SRS does provide highly valuable information to the test engineer about the maximum dynamic load as a function of frequency for a particular test.
Examples of Standard Synthetic SRS Waveforms
When producing an SRS waveform for a test to study mechanical shock, various parameters are used to synthesize a pulse that matches a specified SRS. While a range of waveforms can be created to achieve a required SRS, the testing industry usually relies on a set of standard synthetic waveforms; each of these waveforms is based on a specific set of equations and uses a unique set of calculations to produce an SRS.
Selecting the appropriate synthetic waveform type depends on the application. For example, the WavSyn method produces short duration, high frequency waveforms appropriate for pyroshock tests and the Burst Random or Enveloped Burst Random methods produce long duration stationary random waveforms appropriate for earthquake tests.
Below are brief descriptions of the standard synthetic waveforms supported by Vibration Research’s VibrationVIEW software:
Linear Chirp  A frequency sweep with the frequency changing at a fixed Hz/second rate; it is useful for testing across small frequency ranges.

Exponential Chirp  A frequency sweep with the frequency changing at a fixed octaves/second rate. This type of sweep is good for sweeps over a wide frequency range, where the start and end frequencies are a multiple of 10 or greater apart.

WavSyn  A superposition of multiple sine beat waveforms, with one sine beat for each frequency in the SRS spectrum. WavSyn synthesis can be Centered, Aligned Left, Sequential, or Alternating. Centered alignment builds the sine beat waveforms from the center time of the waveform. Aligned Left builds the waveform from the left. Sequential builds the waveform from the left with sine beats starting with the highest frequency, which optimizes for required peak acceleration. Alternating builds the waveform from the left starting with the highest frequency and alternates the polarity of the sine beats, which optimizes for required displacement. The WavSyn method produces appropriate short duration, high frequency waveforms that are wellsuited for pyroshock type tests.

Burst Random  A Gaussian Random waveform with a smooth ramp up to level, then constant level, and ending with a smooth ramp back to zero. This type of waveform is well suited for long duration (20 to 30 seconds) earthquake simulations.

Linear Chirp on Burst Random  The superposition of both the Linear Chirp waveform and the Burst Random waveform. The chirp (a fast sine sweep) is useful for achieving high peaks over a narrow frequency range, while the Burst Random is useful for covering a broad frequency range.

Exponential Chirp on Burst Random  The superposition of both the Exponential Chirp waveform and the Burst Random waveform.

Enveloped Burst Random  A Gaussian Random waveform, enveloped using a ramp up, then an exponential decay in amplitude levels. This generates a waveform that more closely resembles a true earthquake event.

Damped Sine Waves  The superposition of multiple sine waves with an exponentially decaying amplitude (damped oscillation).

Synthetic Waveform Limitations  Unfortunately, there is often no synthetic pulse with a frequency response that matches well to a specific realworld transient event. To approximate a real event, the synthetic waveform must test the DUT across the same range of frequencies found in the realworld waveform. A synthesized waveform test that misses either low frequency or high frequency vibrations will not result in a truly realistic test, while a waveform with excessive energy in a given frequency range will create an overtesting problem. 
3. Using Fieldrecorded Data
There is a unique approach, where the actual recorded field environment is modified to meet or exceed a specified SRS. This provides a time waveform similar to the original field environment and, more importantly, its frequency response function closely matches the original field environment. The following sections describe the field data approach in more detail.
Generating an Enveloped Set of Realworld Recordings
A realworld data set is representative of only a single unique event; using this one event as the basis for creating a synthesized SRS waveform gives an incomplete description of shock vibrations that may occur in a particular setting. A different approach is to use multiple realworld data sets and incorporate them into one representative waveform.
For transient events, the proper way to combine multiple realworld data sets is not to find their average accelerations, but to find the maximum value at each frequency. This ‘max enveloping’ technique produces an SRS curve using the maximum acceleration value from a group of realworld data sets for each frequency.
The following steps start the process of producing an enveloped SRS using the VibrationVIEW and MS Excel software tools:
Load recordings: Take several realworld recordings of the same event and then individually load the recordings into VibrationVIEW. The data shown in Figures 24 was collected from many repetitions of a golf club hitting a ball. 
Copy the data to Excel: For each recording loaded into VibrationVIEW, copy the data file and paste it into an MS Excel worksheet. 
Determine the maximum of each recording at each frequency (Envelope): With all the data files of the realworld recordings pasted into Excel, select the maximum acceleration value for each frequency. This process is called ‘creating an envelope’. 
CREATING A MODIFIED USER WAVEFORM
SRS synthesis parameters are then used to create a pulse matching a specified SRS curve. The following steps produce a user modified waveform that is based on enveloped recording data.
1. Import a realworld data file (as .txt) to begin building a user defined transient: select one of the realworld recordings and import the recording’s data file as a VibrationVIEW ‘User Defined Transient’ test type. 
2. Use the enveloped data to create a maximax breakpoint table: Select and copy the max envelope data file from the Excel worksheet and paste into the breakpoint table section of the User Defined Transient test profile. 
3. Synthesize a modified user waveform: In the VibrationVIEW User Defined Transient test, under the SRS tab, select ‘From User Waveform’ and click the ‘Synthesize’ button. 
4. Iterate as necessary: Clicking the “Iterate More” button adjusts the wavelets, modifying the SRS to create a waveform that meets or exceeds the SRS maximax breakpoint table values. 
5. Run the test: Save the test profile and run the test. Running the test will generate a data file for this synthesized waveform that can be compared to the realworld data. See Figure 10. 
4. Comparing Waveforms
Both the modified user waveform, developed from the enveloped environment, and the standard synthesized waveforms can be evaluated by comparing them with a recorded waveform.
The standard synthesized waveforms shown below were created with the maximax SRS breakpoint table used by the enveloped environment waveform. To implement this in VibrationVIEW, with the breakpoint table loaded, choose a selection under ‘Synthesis Type’ on the SRS tab.
Test engineers should consider three factors when they compare a synthetic waveform with a realworld recording.
Waveform shape
The first factor to consider is waveform shape; it is important because, to be realistic, a mechanical shock test needs to test the DUT at the correct amplitudes across the frequency domain. Figure 7 compares the Linear Chirp waveform with an original realworld recording by overlaying their Energy Spectral Density plots. It clearly illustrates how the Linear Chirp synthetic method did not follow the realworld data waveform’s shape. The realworld data waveform has a sharp drop from about 1000 Hz to 4000 Hz, while the Linear Chirp synthetic waveform has only a small deflection in that range.
Frequency content
The second factor to consider is frequency content, as a useful synthetic waveform must test a DUT across the same range of frequencies found in the realworld waveform. A synthesized waveform test that misses either low frequency or high frequency vibrations will not result in a truly realistic test. Figure 8 shows that the WavSyn Alternating the synthesized waveform.
Energy/amplitude
Finally, test engineers should consider energy or amplitude of the waveforms. While it is important for a test to have the correct waveform shape and the correct frequency content, a realistic test must also have the same amplitude as the realworld waveform. In Figure 9, the Burst Random synthetic waveform has amplitude vibrations across the frequency spectrum that are 10X greater than those of the realworld waveform, indicating a potential overtesting situation.
Comparing the Modified User Waveform with an Original Realworld Recording
After seeing the limitations of the standard synthetic waveforms, a comparison of the synthesized modified user waveform with the original realworld recordings is striking. As shown in Figure 10, they match very closely in terms of frequency content, waveform shape, and amplitudes across the frequency range.
5. Conclusions
This study’s data clearly shows that the modified user waveform generated with the max enveloping technique yields an SRS waveform closely matching the original realworld waveform in terms of waveform shape, frequency content, and amplitude.
As demonstrated in this paper, standard synthetic waveforms often do not closely match realworld transient events. They are generated from math algorithms and cannot duplicate the realistic qualities of a modified user waveform adjusted by a series of iterations to match a maximax SRS.
The modified user waveform, based on an enveloped set of realworld recordings, maintains realworld characteristics and creates an SRS waveform that accurately reflects those recorded events.