The Prefabricated Machinery-excavation Structure (PMS) represents a pioneering solution that addresses the technical challenges for the construction of underground spaces in bustling urban environments. Unlike traditional engineering designs, the decision-making process for PMS involves the integration of multi-source information from both machinery and structure. Currently, the intricate mechanisms underlying this process remain elusive, presenting formidable technological hurdles that impede construction safety and industrial chain efficiency. In response to this issue, the present study has developed a Multi-source Automatic-adaptive Design Model (MADM) that integrates automatic modeling, automatic design, and simulation techniques. Through rigorous case studies, it has been observed that the initial excavation structure’s capacity to withstand soil pressure is directly proportional to the optimization achieved in subsequent substructures. Notably, the optimization of steel rebar in temporary components is particularly evident, achieving a 20% increase compared to other schemes. Moreover, MADM favors a combined left–right excavation approach, which advocates for a 20–83% enlargement of the roof size for the up-down combination. Its robust decision-making and optimization capabilities are further evidenced by its preference for smaller excavation faces and substructure sizes, ultimately resulting in a substantial 30% reduction in concrete and steel usage. This study provides a scientific decision-making framework for PMS machinery-structure multi-source information planning, enhancing both safety and industrial chain efficiency.

中文翻译：

---

装配式机械-开挖结构多源自动自适应设计模型


预制机械开挖结构 （PMS） 代表了一种开创性的解决方案，它解决了在繁华的城市环境中建造地下空间的技术挑战。与传统的工程设计不同，PMS 的决策过程涉及来自机械和结构的多源信息的集成。目前，这一过程背后的复杂机制仍然难以捉摸，存在巨大的技术障碍，阻碍了施工安全和产业链效率。针对这个问题，本研究开发了一种集成了自动建模、自动设计和仿真技术的多源自动自适应设计模型 （MADM）。通过严格的案例研究，可以观察到，初始开挖结构承受土压力的能力与后续子结构中实现的优化成正比。值得注意的是，临时构件中钢筋的优化尤为明显，与其他方案相比，实现了 20% 的增长。此外，MADM 赞成左右联合开挖方法，该方法主张将上下组合的屋顶尺寸扩大 20-83%。其强大的决策和优化能力进一步体现在它对较小挖掘面和下部结构尺寸的偏好上，最终使混凝土和钢材的使用量大幅减少了 30%。本研究为 PMS 机械结构多源信息规划提供了科学的决策框架，提高了安全性和产业链效率。