论文标题
多保真方法耦合参数降低空间和非侵入式POD，并应用于乘客船体的结构优化
A multi-fidelity approach coupling parameter space reduction and non-intrusive POD with application to structural optimization of passenger ship hulls
论文作者
论文摘要
如今，造船业正面临着对环境影响较小的解决方案的根本性变化。这可以通过低排放引擎，具有较低波浪阻力和噪声的优化形状设计以及减少制造过程中使用的金属原材料来实现。这项工作着重于最后一个方面，通过为现代旅客船体提供完整的结构优化管道，该管道利用了高级模型订购技术来降低输入参数和感兴趣的输出的维度。我们引入了一种新型方法，该方法将通过活性子空间的参数空间缩小融合到使用插值方法的正交分解中。这是在多保真设置中完成的。我们在中期部分的简化模型和乘客船的完整模型上测试整个框架，分别由20和16个参数控制。我们提出了全面的误差分析，并显示了方法的功能和实用性，尤其是在初步设计阶段，在处理高维参数化的同时，找到了新的未考虑设计。
Nowadays, the shipbuilding industry is facing a radical change towards solutions with a smaller environmental impact. This can be achieved with low emissions engines, optimized shape designs with lower wave resistance and noise generation, and by reducing the metal raw materials used during the manufacturing. This work focuses on the last aspect by presenting a complete structural optimization pipeline for modern passenger ship hulls which exploits advanced model order reduction techniques to reduce the dimensionality of both input parameters and outputs of interest. We introduce a novel approach which incorporates parameter space reduction through active subspaces into the proper orthogonal decomposition with interpolation method. This is done in a multi-fidelity setting. We test the whole framework on a simplified model of a midship section and on the full model of a passenger ship, controlled by 20 and 16 parameters, respectively. We present a comprehensive error analysis and show the capabilities and usefulness of the methods especially during the preliminary design phase, finding new unconsidered designs while handling high dimensional parameterizations.
