Optimal experimental design on the loading frequency for a probabilistic fatigue model for plain and fibre-reinforced concrete

M.J. Rivas-López, R.C. Yu, J. López-Fidalgo and G. Ruiz

Computational Statistics & Data Analysis, 2017, vol. 113, issue C, 363-374

Abstract: The objective is to improve the fatigue characterisation process based on the concept of optimal experimental design. This is carried out through a probabilistic model, previously developed, which takes into account the experimentally observed loading frequency effect on the fatigue life in plain and fibre-reinforced concrete. The Fisher Information Matrix is first obtained for the simplified fatigue model. The optimal design is found to be located at the minimum values allowed for both the maximum stress and stress ratio, whereas the two loading frequencies are the minimum and maximum values in the defined range. Next, the FIM is derived for the extended fatigue model. The previously carried out experimental plan is 65% efficient compared to the optimum. Even though it has been developed for the specific chosen fatigue model, the current procedure can be applied to any other fatigue model to significantly improve the fatigue characterisation process of any material.

Keywords: Fisher Information Matrix (FIM); D-optimality; Weibull cumulative distribution function; Loading frequency; Fatigue model (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:113:y:2017:i:c:p:363-374

DOI: 10.1016/j.csda.2016.08.014

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