针对传统隧道支护体系力学效能低、机械化作业匹配性差、包络性设计碳排高、设计过程信息化智能化程度弱等问题，围绕隧道高性能主动支护体系及智能设计，结合理论分析、现场实测、装备研发与平台开发开展系统性研究。研究取得以下成果： 1）提出基于支护体系时空效应的信息化、智能化设计方法，构建以预应力锚杆、早高强喷射混凝土为核心的岩-锚-喷协同承载高性能主动支护体系； 2）根据施工期隧道围岩评价、工序写实、支护变形监测等多元信息快速采集与融合应用，提出多元信息一体化智能感知方法，研发多元信息集成化智能感知装备； 3）提出以大数据分析与物理模型融合驱动为核心的高性能主动支护体系智能设计方法，研发铁路隧道数智化平台，实现了铁路隧道高性能主动支护体系设计与施工全流程信息化与智能化。

Traditional tunnel support systems present several disadvantages, including low mechanical efficiency, poor compatibility with mechanized construction, high carbon emissions from envelope design, and insufficient informatization and intelligence. To overcome these challenges, a comprehensive study is conducted on high-performance active support systems and their intelligent design by integrating theoretical analysis, field measurements, equipment research and development, and platform development. The following results are obtained: (1) A method for informationized and intelligent design based on the spatiotemporal effects of the support system is proposed, and a high-performance active support system featuring rock-anchor-shotcrete collaborative bearing is constructed with prestressed anchors and early- and high-strength shotcrete as core components. (2) An integrated intelligent perception method is proposed for rapidly collecting and integrating multi-source information, such as tunnel surrounding rock assessments during construction, process recordings, and support deformation monitoring, and an integrated intelligent perception device for this information is developed. (3) A novel intelligent design method for high-performance active support systems is proposed, driven by the fusion of big data analysis and physical models, and an intelligent digital platform for railway tunnels is developed. This platform facilitates the informatization and intelligence of the entire design and construction process for high-performance active support systems in railway tunnels.