In the process of optimizing geometric parameters of cross section of bridge crane's main girder, the influence of these uncertainties on the performance and quality of the product is often neglected in traditional optimization design due to uncertain disturbances to design variables, inevitably causing optimization scheme against constraint condition. In the paper, based on integrated finite element software Ansys and multidisciplinary optimization software Isight as well as combined response surface model, Monte-Carlo simulation method and 6σ quality design,robust optimization design is conducted on bridge crane's main girder with structural strength and static rigidity of the bridge as constraint condition. The results show that this method not only lightens the weight of the bridge by 12.5% but also reduces the sensitivity of optimization results to the fluctuation of optimization parameters, thus greatly making parameters more reliable and robust. The research provides theoretical guidance for design and optimization of bridge crane and has high practical value in engineering.%在桥式起重机主梁截面几何参数的优化过程中,由于各设计变量存在不确定性干扰,传统优化设计常忽略这些不确定性因素对于产品性能及质量的影响,往往导致优化方案违反约束条件.文中通过有限元软件Ansys与多学科优化软件 Isight 进行集成,将响应面模型、蒙特卡洛模拟法和6σ质量设计相结合,以桥架的结构强度及静刚度为约束条件,对桥式起重机主梁进行稳健优化设计.结果表明,该方法不仅能使桥架结构自重降低12.5%,并降低了优化结果对优化参数波动的敏感性,大幅提高了各参数的可靠性和稳健性,为桥式起重机的设计及优化提供理论指导,具有较高的工程实际应用价值.
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