Editorial Type:
Article Category: Research Article
 | 
Online Publication Date: 01 Jan 2017

Synthesis of a Time History Based on the Sine-on-Random Prediction Methodology Defined in MIL-STD-810 Method 519

Page Range: 31 – 41
DOI: 10.17764/1098-4321.60.1.31
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Abstract

Method 519.7, Annex D of MIL-STD-810G, Environmental Engineering Considerations and Laboratory Tests, Change Notice 1 (MIL-STD-810G/CN1) outlines a prediction methodology for establishing a sine-on-random (SoR) structured spectrum that is intended to be representative of gunfire for use in cases in which there is an absence of field data. From that spectrum, the ramp modulated pulse (RMP) technique is proposed as a methodology to synthesize a time history with temporal characteristics that more realistically represent the temporal characteristics of gunfire than that of a SoR time history synthesized via classical SoR generation techniques. This paper provides an alternate technique to the RMP methodology presented in Method 519. The alternate technique is based on normalized exponentially weighted (NEW) time history generated via classical time domain techniques for a SoR vibration test. An outline of the NEW technique and an associated example are provided.

Copyright: © 2017 Institute of Environmental Sciences and Technology 2017

Contributor Notes

ABOUT THE AUTHOR

1 Conducted under contract to the US Army Redstone Test Center

Michael Hale earned a BSEE from Auburn University in 1983 and his MSE and PhD from The University of Alabama in Huntsville (UAH) Electrical and Computer Engineering Department in 1992 and 1998. Hale is currently employed as a principal research engineer with Trideum Corporation. Prior to retirement from 32 years of Federal service, he was employed as a senior electronics engineer and experimental developer in the Environmental & Component Test Directorate of the Army's Redstone Test Center (RTC), US Army Test and Evaluation Command (ATEC).

Contact author: Michael Hale, michael.t.hale20.ctr@mail.mil

The Institute of Environmental Sciences and Technology (IEST), founded in 1953, is a multidisciplinary, international technical society whose members are internationally recognized for their contributions to the environmental sciences in the areas of contamination control in electronics manufacturing and pharmaceutical processes; design, test, and evaluation of commercial and military equipment; and product reliability issues associated with commercial and military systems. IEST is an ANSI-accredited standards-developing organization. For more information about the many benefits of IEST membership, visit www.iest.org.

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