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由于隧道工程设计与施工存在诸多的不确定性,由此造成的建设成本浪费巨大。本文针对传统优化算法不能求导、容易陷于局部最优等问题,引入一种鲁棒性强的智能优化算法—和声算法,建立山岭隧道施工锚固参数的优化算法。首先基于正交设计和三维数值模拟,建立锚固参数与隧道支护成本关系函数,在确定稳定性约束的边界条件下,采用和声搜索智能优化算法对其优化,寻找较为优越的支护方案。实例分析结果表明,基于和声搜索算法的支护成本优化方法是可行的,可获得很好的收敛速度和优化精度,通过和声搜索算法优化锚固参数可将隧道施工方案选择提高到定量的水平。
As there are many uncertainties in the design and construction of tunnel engineering, the construction cost caused by this is a huge waste. Aiming at the problem that the traditional optimization algorithm can not derive and is easily trapped in local optimization, this paper introduces a robust robust intelligent optimization algorithm called harmony algorithm to establish an optimal algorithm for anchoring parameters of mountain tunnel construction. Firstly, based on the orthogonal design and the three-dimensional numerical simulation, the relationship between the anchoring parameters and the tunneling support cost is established. Under the boundary conditions of the stability constraints, the optimization algorithm is optimized by using the harmony search intelligent optimization algorithm to find a superior support scheme. The results of example analysis show that the proposed method based on harmony search algorithm is feasible and can obtain good convergence speed and optimization accuracy. Choosing anchoring parameters through harmonic search algorithm can increase the choice of tunnel construction scheme to a quantitative level .