Bayesian Optimised Collection Strategies for Fatigue Strength Testing
Abstract
A statistical framework is presented enabling optimal sampling and analysis of constant life fatigue data. Protocols using Bayesian maximum entropy sampling are built based on conventional staircase and stress step methods, reducing the requirement of prior knowledge for data collection. The Bayesian Staircase method shows improved parameter estimation efficiency, and the Bayesian Stress Step method shows equal accuracy to the standard method at larger step size allowing experimentalists to lessen concerns of loading history. Statistical methods for determining model suitability are shown, highlighting the influence of protocol. Experimental validation is performed, showing the applicability of the methods in laboratory testing.
Keywords
Cite
@article{arxiv.2107.02685,
title = {Bayesian Optimised Collection Strategies for Fatigue Strength Testing},
author = {Christopher M Magazzeni and Rory Rose and Chris Gearhart and Jicheng Gong and Angus J Wilkinson},
journal= {arXiv preprint arXiv:2107.02685},
year = {2022}
}
Comments
27 pages, 12 figures + 1 SI figure