Published 2016 | Version v1
Journal article

Safety envelope for load tolerance of structural element design based on multi-stage testing

  • 1. University of Florida, Gainesville, FL (United States)

Description

Structural elements, such as stiffened panels and lap joints, are basic components of aircraft structures. For aircraft structural design, designers select predesigned elements satisfying the design load requirement based on their load-carrying capabilities. Therefore, estimation of safety envelope of structural elements for load tolerances would be a good investment for design purpose. In this article, a method of estimating safety envelope is presented using probabilistic classification, which can estimate a specific level of failure probability under both aleatory and epistemic uncertainties. An important contribution of this article is that the calculation uncertainty is reflected in building a safety envelope using Gaussian process, and the effect of element test data on reducing the calculation uncertainty is incorporated by updating the Gaussian process model with the element test data. It is shown that even one element test can significantly reduce the calculation uncertainty due to lacking knowledge of actual physics, so that conservativeness in a safety envelope is significantly reduced. The proposed approach was demonstrated with a cantilever beam example, which represents a structural element. The example shows that calculation uncertainty provides about 93% conservativeness against the uncertainty due to a few element tests. As a result, it is shown that even a single element test can increase the load tolerance modeled with the safety envelope by 20%.

Availability note (English)

Available from https://www.osti.gov/pages/servlets/purl/1435460; https://www.osti.gov/pages/biblio/1435460; DOE Accepted Manuscript full text, or the publishers Best Available Version will be available free of charge after the embargo period

Additional details

Publishing Information

Journal Title
Advances in Mechanical Engineering
Journal Volume
8
Journal Issue
9
Journal Page Range
p. 1-11
ISSN
1687-8140

INIS

Country of Publication
United Kingdom
Country of Input or Organization
United States
INIS RN
50032973
Subject category
S42: ENGINEERING;
Descriptors DEI
DESIGN; GAUSSIAN PROCESSES; PROBABILISTIC ESTIMATION; SAFETY; TESTING
Descriptors DEC
CALCULATION METHODS

Optional Information

Contract/Grant/Project number
NA0002378
Funding organization
USDOE National Nuclear Security Administration (NNSA) (United States)
Secondary number(s)
OSTIID--1435460