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Reliability-based design optimization of crane bridges using Kriging-based surrogate models

机译：基于Kriging的代理模型的起重机桥梁设计优化

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摘要

Cranes as indispensable and important hoisting machines of modern manufacturing and logistics systems have been wildly used in factories, mines, and custom ports. For crane designs, the crane bridge is one of the most critical systems, as its mechanical skeleton bearing and transferring the operational load and the weight of the crane itself thus must be designed with sufficient reliability in order to ensure safe crane services. Due to extremely expensive computational costs, current crane bridge design has been primarily focused either on deterministic design based on conventional design formula with empirical parameters from designers' experiences or on reliability-based design by employing finite-element analysis. To remove this barrier, the paper presents the study of using an advanced surrogate modeling technique for the reliability-based design of the crane bridge system to address the computational challenges and thus enhance design efficiency. The Kriging surrogate models are first developed for the performance functions for the crane system design and used for the reliability-based design optimization. Comparison studies with existing crane design methods indicated that employing the surrogate models could substantially improve the design efficiency while maintaining good accuracy.
机译：起重机作为现代制造和物流系统的不可或缺和重要的吊装机已经野蛮地用于工厂，矿山和自定义港口。对于起重机设计，起重机桥是最关键的系统之一，因为它的机械骨架轴承和转移运行负载和起重机的重量必须具有足够的可靠性，以确保安全起重机服务。由于极高的计算成本，目前的起重机桥梁设计主要集中于基于传统设计公式的确定性设计，通过设计人员经验或基于可靠性的基于可靠性的设计，通过采用有限元分析。为了删除这一屏障，本文介绍了使用先进的代理建模技术，为起重机桥系统的可靠性设计，以解决计算挑战，从而提高设计效率。首先开发Kriging代理模型用于起重机系统设计的性能功能，并用于基于可靠性的设计优化。使用现有起重机设计方法的比较研究表明，采用代理模型可以显着提高设计效率，同时保持良好的精度。

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