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Welcome to the NAFEMS Online-Seminar "Engineering Excellence: Simulation for Fatigue Strength and Durability".

The assessment of the fatigue strength in mechanical components subject to variable loads is crucial for the safe use of machines and systems. Safety, reliability and cost-effectiveness are a key importance for ensuring that the products are appropriately dimensioned and their durability is determined.

In addition to stress analysis by using the finite element method (FEM), the multibody simulation (MBS) makes a significant contribution for estimating the durability when developing and designing components and structures under repetitive loads. The MBS simulation focuses on determining the time-variant loads in a system. These loads are often inadequately defined or not known at all, in this case they can be can be found out with MBS simulations.

Today, the use of simulation methods for designing according to fatigue strength is essential for many application areas. Materials, whether brittle, ductile or with time-dependent behavior, react differently to cyclic loads. In order to evaluate the strength behavior of a material under time-dependent loading, it is important to know which stresses lead to damage, how this damage looks like and how it superimposed. This requires both theoretical approaches damage and fracture mechanics as well experimental tests and statistical analyses. The developed methods are widely used in standards, regulations, guidelines, recommendations and numerous software products. The FKM guideline (7th edition / 2020 - German / English), for example, deals with both static and fatigue strength assessment. However, the available damage accumulation, damage models and the material properties are often developed inconsistently and are not sufficiently available.

Artificial intelligence (AI) has also played an increasingly important role in the field of durability and fatigue strength in the recent years, through predicting material behavior, optimizing designs, damage detection, lifetime prediction and material development as well for more realistic load assumptions. This enables improved efficiency and reliable products.

The objectives for the seminar are:


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