基于虚拟样机技术的海洋修井动力猫道结构优化
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Optimization of Marine Well Repair Power Catwalk Structure Based on Virtual Prototype Technology
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    摘要:

    为解决海洋修井动力猫道设备整体工作效率低、自重过大等问题,结合虚拟样机技术,进行海洋修井动力猫道机械结构运动学动力学仿真分析,在仿真基础上利用遗传优化算法,选取各不同组件可进行优化的结构尺寸作为优化变量,分别以最大处理载荷和最快处理速度为目标对海洋修井动力猫道实现结构优化。结果表明:在以最大处理载荷为目标的结构优化中,安全因数均大于1.5的情况下各组件减重12.5%~33.0%;在以最快处理速度为目标的结构优化中,安全因数均大于1.5的情况下各组件减重16.4%~38.0%。虚拟样机技术分析方法可为海洋平台其他设备结构轻量化设计提供参考。

    Abstract:

    In order to solve the problems of overall low work efficiency and excessive self-weight of the marine well repair power catwalk equipment, the virtual prototype technology is combined to conduct the kinematic and dynamic simulation analysis of the mechanical structure of the marine well repair power catwalk. Based on the simulation, the genetic optimization algorithm is used, the structural dimensions of different components that can be optimized are selected as the optimization variables, and the structural optimization of the marine well repair power catwalk is achieved with the goals of the maximal processing load and the fastest processing speed. The results show that: in the structural optimization with the goal of the maximal processing load, when the safety factor is greater than 1.5, the weight of each component is reduced by 12.5% to 33.0%; in the structural optimization with the goal of the fastest processing speed, when the safety factor is greater than 1.5, the weight of each component is reduced by 16.4% to 38.0%. This virtual prototype technology analysis method provides reference for the lightweight design of other equipment structures on offshore platforms.

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李进付.基于虚拟样机技术的海洋修井动力猫道结构优化[J].中国海洋平台,2024,(03):88-97

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  • 在线发布日期: 2024-06-25
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