Open-Access Experiment Dataset for Fatigue Damage Accumulation and Life Prediction Models

Abstract

This work addresses the lack of focus on verification and comparison of existing fatigue damage accumulation and life prediction models on the basis of large and well-documented experiment datasets. Sixty-four constant amplitude, 54 two-level block loading, and 27 three-level block loading valid experiments were performed in order to generate an open-access, high-quality dataset that can be used as a benchmark for existing models. In the future, more experiments of various specimen geometries and loading conditions will be added. The obtained dataset was used for a study comparing five (non)linear fatigue damage and life prediction models. It is shown how the performance of several (non)linear damage models is strongly dependent on the considered material dataset and loading sequence. Therefore, it is important to verify models with a broad set of independent datasets, as many existing models show significant bias to certain datasets.

An Overview of Estimations for the High-Cycle Fatigue Strength of Conventionally Manufactured Steels Based on Other Mechanical Properties

“…Similar observations and recommendations were stated in a review on nonlinear fatigue damage accumulation models [85]. As a follow-up to that review, a comprehensive and reliable database comprising high-quality data of fatigue block loading experiments was developed [86] and published as an open-access repository [87]. The development of such open-access dataset with fatigue test data and related mechanical properties is considered crucial to make a significant step forward in verifying and comparing fatigue strength predictions.…”