Experimental multiaxial fatigue tests realized with newly developed geometry specimens

Abstract

In the literature there are many experimental results of multiaxial fatigue testing, usually generated by the combination of two or more cyclical loads. The cases in which samples are randomly stressed are rarer. Moreover, to generate particular stress states, the use of specific machinery for fatigue tests is usually required. For these reasons, the authors have created a particular geometry of specimens, which, when solicited by a single input of a random type, guarantees the creation of specific multiaxial stress states without using complex and costly instruments. The experimental tests were finally used for the validation of the multiaxial reduction method developed and currently utilized in the authors' design phase, though potentially used to verify all the other methodologies present in the literature.

Thermoelasticity and ArUco marker-based model validation of polymer structure: application to the San Giorgio’s bridge inspection robot

“…In general, the level of validation is directly tied to the intended use of the model and then, the supporting testing experiments are defined [3], [4]. While indirect validation uses experimental results that cannot be controlled by the user (e.g., from the literature or from previous researches), a direct approach performs experiments on the quantities of interest [5], with the aim of reproduce, through the experiments, actual behaviour of simulated model [4], [6].…”

Collection of experimental data for multiaxial fatigue criteria verification

“…Because brittle materials are not usually used in the components subjected to cyclic loading, our presented database will only be composed of ductile materials, because we wanted to investigate a narrow field of technical applicability. We have deliberately omitted data generated with applied loads at different frequencies, and those that come from spectral tests . It is important to note that only accurate data should be processed with fatigue solution methods so as to not add errors already present in the methods themselves.…”

“…We have deliberately omitted data generated with applied loads at different frequencies, and those that come from spectral tests. 28 It is important to note that only accurate data should be processed with fatigue solution methods so as to not add errors already present in the methods themselves.…”