EFFECTIVE ALGORITHM FOR STRUCTURAL OPTIMIZATION SUBJECTED TO FATIGUE DAMAGE AND RANDOM EXCITATION
The aim of the paper is to present the computationally timeconsuming task of simulating the process of randomly oscillating thin-shell structures to realize an optimal design with limitations in terms of fatigue damage. The most important aim here is to design an effective optimization algorithm and...
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| Format: | Article |
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Silesian University of Technology
2018-06-01
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| Series: | Scientific Journal of Silesian University of Technology. Series Transport |
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| Online Access: | http://sjsutst.polsl.pl/archives/2018/vol99/149_SJSUTST98_2018_Saga_Vasko_Sagova_Handrik.pdf |
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| _version_ | 1850055353950011392 |
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| author | Milan SÁGA Milan VAŠKO Zuzana SÁGOVÁ Marian HANDRIK |
| author_facet | Milan SÁGA Milan VAŠKO Zuzana SÁGOVÁ Marian HANDRIK |
| author_sort | Milan SÁGA |
| collection | DOAJ |
| description | The aim of the paper is to present the computationally timeconsuming task of simulating the process of randomly oscillating thin-shell structures to realize an optimal design with limitations in terms of fatigue damage. The most important aim here is to design an effective optimization algorithm and choose an appropriate approach for the evaluation of multiaxial fatigue damage in the context of the random and non-proportional character of stress in the structure when considering the standard finite element model. The authors propose their own optimization algorithm, which is described in the present study and, on the basis of tests, has proven to be suitable for the aforementioned technical problems. The proposition of algorithms for calculating the accumulation of fatigue damage in non-proportional and multiaxial stresses (especially in terms of the application of rainflow analysis by decomposition of the equivalent stress, as determined by the appropriate “fatigue” criterion) is very important in such computational processes. The entire computational process was implemented in MATLAB with the “Discret_Opt_Fat” main control program. The article presents the theoretical basis for the presented complex problem solution, its algorithmization and the technical application. |
| format | Article |
| id | doaj-art-c428681bf67f41fd8b2d8bf6ee3bc15b |
| institution | DOAJ |
| issn | 0209-3324 2450-1549 |
| language | English |
| publishDate | 2018-06-01 |
| publisher | Silesian University of Technology |
| record_format | Article |
| series | Scientific Journal of Silesian University of Technology. Series Transport |
| spelling | doaj-art-c428681bf67f41fd8b2d8bf6ee3bc15b2025-08-20T02:51:59ZengSilesian University of TechnologyScientific Journal of Silesian University of Technology. Series Transport0209-33242450-15492018-06-019914916110.20858/sjsutst.2018.99.14EFFECTIVE ALGORITHM FOR STRUCTURAL OPTIMIZATION SUBJECTED TO FATIGUE DAMAGE AND RANDOM EXCITATIONMilan SÁGAMilan VAŠKOZuzana SÁGOVÁMarian HANDRIKThe aim of the paper is to present the computationally timeconsuming task of simulating the process of randomly oscillating thin-shell structures to realize an optimal design with limitations in terms of fatigue damage. The most important aim here is to design an effective optimization algorithm and choose an appropriate approach for the evaluation of multiaxial fatigue damage in the context of the random and non-proportional character of stress in the structure when considering the standard finite element model. The authors propose their own optimization algorithm, which is described in the present study and, on the basis of tests, has proven to be suitable for the aforementioned technical problems. The proposition of algorithms for calculating the accumulation of fatigue damage in non-proportional and multiaxial stresses (especially in terms of the application of rainflow analysis by decomposition of the equivalent stress, as determined by the appropriate “fatigue” criterion) is very important in such computational processes. The entire computational process was implemented in MATLAB with the “Discret_Opt_Fat” main control program. The article presents the theoretical basis for the presented complex problem solution, its algorithmization and the technical application.http://sjsutst.polsl.pl/archives/2018/vol99/149_SJSUTST98_2018_Saga_Vasko_Sagova_Handrik.pdffinite element analysisstructural optimizationoptimization algorithmmultiaxial rainflow countingfatigue damage |
| spellingShingle | Milan SÁGA Milan VAŠKO Zuzana SÁGOVÁ Marian HANDRIK EFFECTIVE ALGORITHM FOR STRUCTURAL OPTIMIZATION SUBJECTED TO FATIGUE DAMAGE AND RANDOM EXCITATION Scientific Journal of Silesian University of Technology. Series Transport finite element analysis structural optimization optimization algorithm multiaxial rainflow counting fatigue damage |
| title | EFFECTIVE ALGORITHM FOR STRUCTURAL OPTIMIZATION SUBJECTED TO FATIGUE DAMAGE AND RANDOM EXCITATION |
| title_full | EFFECTIVE ALGORITHM FOR STRUCTURAL OPTIMIZATION SUBJECTED TO FATIGUE DAMAGE AND RANDOM EXCITATION |
| title_fullStr | EFFECTIVE ALGORITHM FOR STRUCTURAL OPTIMIZATION SUBJECTED TO FATIGUE DAMAGE AND RANDOM EXCITATION |
| title_full_unstemmed | EFFECTIVE ALGORITHM FOR STRUCTURAL OPTIMIZATION SUBJECTED TO FATIGUE DAMAGE AND RANDOM EXCITATION |
| title_short | EFFECTIVE ALGORITHM FOR STRUCTURAL OPTIMIZATION SUBJECTED TO FATIGUE DAMAGE AND RANDOM EXCITATION |
| title_sort | effective algorithm for structural optimization subjected to fatigue damage and random excitation |
| topic | finite element analysis structural optimization optimization algorithm multiaxial rainflow counting fatigue damage |
| url | http://sjsutst.polsl.pl/archives/2018/vol99/149_SJSUTST98_2018_Saga_Vasko_Sagova_Handrik.pdf |
| work_keys_str_mv | AT milansaga effectivealgorithmforstructuraloptimizationsubjectedtofatiguedamageandrandomexcitation AT milanvasko effectivealgorithmforstructuraloptimizationsubjectedtofatiguedamageandrandomexcitation AT zuzanasagova effectivealgorithmforstructuraloptimizationsubjectedtofatiguedamageandrandomexcitation AT marianhandrik effectivealgorithmforstructuraloptimizationsubjectedtofatiguedamageandrandomexcitation |