Abstract
AbstractFor the optimal planning of Wöhler tests, DIN 50100 offers tables with different methods, such as the load level method, the pearl-string method and staircase method, to identify the required minimum sample size. Based on this norm, the sampling planning by means of the load level method was optimized in this work. Analytical formulas were developed with statistical methods. These formulas enable a fast estimation of the sample size for arbitrary use cases. Another optimization was the implementation of varying standard deviation within the area of fatigue strength in the load level method corresponding to DIN 50100. This optimization decreases the sample size compared to a constant standard deviation. Both optimizations were implemented via a MATLAB® based tool which also contains the methods of DIN 50100.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
