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Research Article

A method for designing filament-wound composite frame structures using a data-driven evolutionary optimisation algorithm EvoDN2

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Article: 2272975 | Received 10 Jul 2023, Accepted 09 Oct 2023, Published online: 28 Oct 2023

Figures & data

Table 1. Analysed geometries.

Table 2. Geometry A – settings of training parameters.

Figure 1. Geometry A – Displacement (top left), strength coefficient (top right), and volume (centre bottom) evaluation during optimisation (F1, F2, F3).

Figure 1. Geometry A – Displacement (top left), strength coefficient (top right), and volume (centre bottom) evaluation during optimisation (F1, F2, F3).

Figure 2. Geometry A – The thicknesses change during the optimisation process.

Figure 2. Geometry A – The thicknesses change during the optimisation process.

Figure 3. Geometry A – Final optimised geometry (left) and Geometry B – representation of the original geometry (right).

Figure 3. Geometry A – Final optimised geometry (left) and Geometry B – representation of the original geometry (right).

Table 3. Geometry A – Optimised structure parameters.

Figure 4. Geometry B – Displacement (top left), strength coefficient (top right), and volume (centre bottom) evaluation during optimisation (F1, F2, F3).

Figure 4. Geometry B – Displacement (top left), strength coefficient (top right), and volume (centre bottom) evaluation during optimisation (F1, F2, F3).

Figure 5. Geometry B –Thicknesses change during the optimisation process.

Figure 5. Geometry B –Thicknesses change during the optimisation process.

Table 4. Geometry B – Optimised structure parameters.

Figure 6. Geometry C – Displacement (top left), strength coefficient (top right), and volume (centre bottom) evaluation during optimisation (F1, F2, F3).

Figure 6. Geometry C – Displacement (top left), strength coefficient (top right), and volume (centre bottom) evaluation during optimisation (F1, F2, F3).

Table 5. Geometry C – Optimised structure parameters.