【摘要】 针对高温管道检测过程中扫查架面临的瞬态热冲击与结构可靠性问题，提出了一种基于多目标遗传算法的热-力耦合协同优化设计方法。通过ANSYS Workbench建立了扫查架的参数化有限元模型，并采用瞬态热-结构顺序耦合仿真，模拟现场高温管道检测时的极端热冲击条件。在此基础上，应用多目标遗传算法对支撑架高度和隔热包覆层厚度进行优化，得到了Pareto最优解集。与原设计方案对比结果表明，最优方案能有效平衡热-力性能冲突，在支撑架高度H=175 mm、隔热包覆层厚度t=4.0 mm条件下，扫查架最大变形量降低42%、等效应力降低18%，抱箍温度降低18.49%，所有指标均满足约束要求。更多还原

【Abstract】 To address the transient thermal shock and structural reliability issues faced by inspection carriages during high-temperature pipeline inspections, this paper proposes a thermomechanical coupled cooperative optimization design method based on a multi-objective genetic algorithm. A parametric finite element model of the inspection frame is established using ANSYS Workbench, and transient thermal-structural sequential coupled simulations are performed to simulate the extreme thermal shock conditions encountered during high-temperature pipeline inspections in the field. Based on this, a multi-objective genetic algorithm is applied to optimize the height of the inspection frame and the thickness of the thermal insulation layer, yielding a set of Pareto optimal solutions. Comparison with the original design scheme indicates that the optimized solution effectively balances thermal-mechanical performance conflicts. Under the optimal conditions of support frame heightH =175 mm and insulation cladding thicknesst =4. 0 mm, the maximum deformation of the inspection frame is reduced by42%, the equivalent stress is reduced by 18%, and the clamp temperature is reduced by 18. 49%, with all indicators meeting the specified constraints.更多还原