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Optimization of steel penstock in a bored tunnel

机译：钻孔隧道钢压力管的优化

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摘要

This paper presents the optimization of steel penstock, designed to be built in a bored tunnel. The optimization was performed by the non-linear programming (NLP) approach. For this purpose, the NLP optimization model was developed. The model comprises the mass objective function, which is subjected to design and dimensioning constraints. The dimensioning constraints were defined according to C.E.C.T. recommendations. The penstock was designed without stiffener rings and without collaboration of the surrounding rock. Numerical example of the penstock optimization, planned to be made for the hydropower plant Kozjak in Slovenia, demonstrates the efficiency of the introduced optimization approach.
机译：本文介绍了设计用于钻孔隧道的钢制压力管的优化方案。通过非线性编程（NLP）方法执行优化。为此，开发了NLP优化模型。该模型包括质量目标函数，该函数受设计和尺寸约束。尺寸限制是根据C.E.C.T.建议。压力管的设计没有加强环，也没有围岩的配合。计划为斯洛文尼亚的Kozjak水力发电厂进行压力管道优化的数值示例证明了引入的优化方法的效率。

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