A Research on Evaluating General Design of Ultra-long Tunnel Based on Pareto-optimal Weight

Abstract

In tunnel engineering, the choice of general design scheme critically impacts safety, economy, and sustainability. To optimize this for ultra-long tunnels, a Pareto optimal weight-based evaluation system was developed. It encompasses design elements, construction conditions, operation risks, and economic impacts. A multi-expert decision matrix using binary language structure was built, and a three-objective Pareto model determined optimal weights. Evaluation cloud maps were generated to compare schemes, revealing the K scheme as optimal for the Tianshan Shengli Tunnel. This system offers a scientific method for tunnel design decisions, improving decision-making efficiency and quality, with significance for complex engineering problems. The application of this system helps to improve the efficiency and quality of engineering decision-making and promotes the development and innovation of tunnel engineering technology.