MULTIAXIAL HIGH-CYCLE FATIGUE IN MODERN ENGINEERING: PERSPECTIVES AND CONTRIBUTIONS

Nikolay Tonchev, Antoaneta Kirova

Abstract


The process of modeling quality indicators from mechanical and simulation tests aiming to establish the fulfillment of specific technical requirements is linked to resource efficiency. Imposing such a modern approach in the design process increases the efficiency of the used materials' expected capacity. The proposed design enhances material strength while reducing structural weight, leading to lower fuel consumption and a corresponding decrease in greenhouse gas emissions. Its successful implementation relies on continuous research to identify innovative solutions and advanced computational approaches that expand existing knowledge and best practices. This paper presents a comprehensive review of multiaxial and multicycle fatigue, a critical factor in the design of essential components exposed to complex loading conditions. The purpose is to review and examine the current state of this type of testing, modeling approaches, experimental techniques, and current real-world applications in the fields of aerospace and automotive design. The aim is to draw the attention of engineers, researchers, and industry professionals working with high-performance materials and structures that study complex stresses.


Keywords


High-cyclic fatigue, Resource efficiency, Neural modeling, Machine learning, Fatigue modeling.

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References


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DOI: http://dx.doi.org/10.12709/mest.13.13.02.16

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