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Uncertainty Quantification Code Written in MATLAB

Author(s)
Suratemeekul, Napat
Kumkam, Noppawit
Sleesongsom, Suwin
Date Issued
January 1, 2024
Type
Conference Paper
DOI
10.1007/978-3-031-72287-5_7
Abstract
This research presents examples of MATLAB code for a classroom of uncertainty quantification. The codes are developed for educational purposes and newcomers or researchers. Demonstration codes are presented in form of a general design conditions. Examples are chosen from mechanical components, which are simply understood. The mechanical components are shafts, connecting rod, rear shaft housing, and bolt etc. The quantification techniques are in the group of probabilistic such as Monte Carlo Simulation (MCS) and Latin Hypercube Sampling (LHS). These examples can help the newcomers to understand the difficulty in uncertainty quantify and extend to calculate reliability value and probability of failure. Example computer codes are included in all parts.
Citation
Communications in Computer and Information Science, 2199 CCIS, 117-135, 2024
Subjects

Education

Latin Hypercube Sampl...

MATLAB

Monte Carlo Simulatio...

Reliability

Uncertainty Quantify

Metrics
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