Our findings confirmed that the model developed as a part of this study was effective at guiding the random search algorithm towards beam cross-section geometries that provided a good fit to the target eigenfrequencies. The proposed solutions cumulatively deviated by 8.18 Hz on average over the three target eigenfrequencies, resulting in 2.39% MAPE. The identified cross-section geometries, once extruded with a 30 twist and analysed using FEA, exhibited eigenfrequencies very close to the specified target. The three examples in figure 5 show that the search produced cross-sections that differ in geometry, size and vertex count to attain a beam geometry that best matches the target eigenfrequencies. The samples were manually selected from different frequency ranges to provide insight into the pertinent cross-section geometries.
Mechanics Materials Gere Solution Manual 7Th
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