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Training Material - Smart|DT

This section contains documents accompanied by videos that give a better understanding of the theory behind SMART|DT. Some sections contain training material and examples to enforce the concepts reviewed in the theory documents.    

 

The current documentation was recorded during the Aircraft Airworthiness and Sustainment Conference in 2022 (AA&S22). It is advised that the materials are reviewed in the order specified in this section.   

Contents:

1.

Agenda

Overview of the topics covered in all sections

2.

Installation

Guide for the download and installation of the software. Contains a test example problem

3.

Overview

General concept and capabilities of the software

4.1

Probability Introduction

Basic definitions, probability distributions, graphical distribution fitting and visualization of probabilistic characteristics of data

4.2

Probability Distributions

Overview of common engineering distributions (Normal, Lognormal, Weibull and Gumbel). Tabular distribution is introduced for cases where a distribution is not available

4.3

Distribution Selection

Method to select the best fitting distribution given a dataset. Contains an Excel example

4.4

Probability Graphical Methods

Overview of graphical methods to visualize probability data

5.

Fundamentals of Probabilistic Damage Tolerance Analysis (PDTA)

Considerations of PDTA and loading management in the software. Contains a loading example problem

6.

Master Curve Analysis

Introduction to the Master Curve method for the computation of the probability of failure (POF) and the creation of the .avsn file. Example problems are provided both in Excel and .smdt format

7.

Probabilistic Database

Overview of the probabilistic databases available in the software for flaw size, geometry, inspections, and material properties. Example format files are provided for flaw size, material, and geometry

8.

Inspection Fundamentals

Introduction to the probability of detection (POD) inspection method capability of the software. Contains several inspection examples

9.

Adaptive Multiple Importance Sampling (AMIS):

Introduction to the AMIS method for probability calculation. Contains example of the AMIS method using HyperGrow

10.1

Capstone Master Curve

PDTA case study developed using the Maser Curve approach. Contains example files

10.2

Capstone HyperGrow

PDTA case study developed using the HyperGrow approach. Contains example files

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