Paper
7 April 1999 Monte Carlo simulation of the R/1 automated damage test
Author Affiliations +
Abstract
In this paper, a Monte Carlo computer analysis of the R/1 automated damage test procedure currently in use at LLNL is presented. This study was undertaken to quantify the intrinsic sampling errors of the R/1 ADT method for various types of optical materials, particularly KDP and fused silica, and to provide a recommended minimum number of test sites. A gaussian/normal distribution of 10 J/cm2 average fluence was used as a damage distribution model. The standard deviation of the distribution was varied to control its shape. Distributions were simulated which correspond to the damage distribution of KDP and fused silica. A measure of the variability in test results was obtained by random sampling of these distributions and construction of the cumulative failure probability 'S' curves. The random samplings were performed in runs of 100 'tests' with the number of samples per test ranging from 2 to 500. For distributions with (mu) /(sigma) equals 5-10, the study found an intrinsic error of 3 to 5 percent in the maximum deviation from the distribution average when using 100 sites test. The computations also showed substantial variation in the form of the CFD for any given test.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael J. Runkel "Monte Carlo simulation of the R/1 automated damage test", Proc. SPIE 3578, Laser-Induced Damage in Optical Materials: 1998, (7 April 1999); https://doi.org/10.1117/12.344457
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Monte Carlo methods

Failure analysis

Silica

Rhodium

Data modeling

National Ignition Facility

Optical testing

Back to Top