Pyrotechnic shock response predictions combining statistical energy analysis and local random phase reconstruction

Area of Science:

• Aerospace Engineering
• Mechanical Engineering
• Computational Mechanics

Background:

• Pyrotechnic devices on satellites generate impulsive loads, potentially causing electronic system failures.
• Accurate prediction of shock environments is vital for ensuring the reliability of satellite electronic components.

Purpose of the Study:

• To assess a combined deterministic and statistical energy analysis method for predicting the shock environment of electronic equipment.
• To validate the method's effectiveness across low- and high-frequency ranges.

Main Methods:

• Linear dynamic response calculated using finite element analysis for low frequencies.
• Statistical energy analysis used to model high-frequency shock response and dynamic filtering.
• Modal parameter based on effective transmissibility defines frequency range separation.

Main Results:

• The combined method accurately predicts the equipment shock time response across the entire frequency range.
• Finite element calculations captured low-frequency shock pulse content.
• Statistical energy analysis extrapolated high-frequency filter characteristics.

Conclusions:

• The integrated approach effectively predicts the overall shock environment for satellite electronic equipment.
• This method enhances the design and reliability of electronic systems subjected to pyrotechnic shock loads.
• Accurate shock prediction is essential for mitigating failures in space applications.