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Optimization of a Modified Locati Method Using Evolutionary Algorithms

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Abstract

The existing modified Locati step-test was improved by pairing it with two evolutionary algorithms that were used to minimize the newly defined cost function that measures the deviation of the “best-fit point” trace from the selected target number of load cycles. The main advantage of the new procedure over the conventional Locati step-test is that the slopes and intercepts of the material’s or the component’s S-N curves do not need to be known in advance in order to estimate the fatigue strength at a selected number of load cycles. The presented procedure was tested on two cases with a different target number of load cycles. The results indicate that the presented procedure is adequate to the conventional Locati step-test procedure.

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Authors and Affiliations

  1. Faculty of Mechanical Engineering, University of Ljubljana, Ljubljana, Slovenia

    J. Klemenc

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  1. J. Klemenc
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Correspondence to J. Klemenc.

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Klemenc, J. Optimization of a Modified Locati Method Using Evolutionary Algorithms. Exp Tech 40, 947–958 (2016). https://doi.org/10.1007/s40799-016-0095-8

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  • DOI: https://doi.org/10.1007/s40799-016-0095-8

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