东南大学全球首发混凝土材料垂类大模型，已应用于南京北站建设

Group 1 - The core viewpoint of the article highlights the launch of the "Concrete True Knowledge" model, a significant advancement in concrete material science, which was unveiled at the first meeting of the National Key Laboratory of Major Infrastructure Engineering Materials in 2026 [1][3] - This model, developed by the National Key Laboratory of Major Infrastructure Engineering Materials in collaboration with Southeast University and Alibaba Cloud, is the first of its kind in China, integrating artificial intelligence with concrete material science [3] - The model aims to revolutionize the traditional paradigms of engineering material research and application, positioning China at the forefront of intelligent engineering materials, and providing a "Chinese solution" for the digital and low-carbon transformation of global infrastructure [3] Group 2 - The "Concrete True Knowledge" model offers expert-level, traceable intelligent Q&A capabilities, addressing complex issues in concrete material research, design, and engineering applications [3] - It incorporates four knowledge processing tools: intelligent data extraction, multi-dimensional data comparison, literature review generation, and knowledge graph construction, significantly reducing the time required for literature research and data analysis from days or months to minutes [3] - The model features an open intelligent platform that includes three core intelligent bodies for performance prediction, mix design, and crack risk assessment, creating an end-to-end closed loop for complex problems reliant on experience [3][5] Group 3 - The model has already been applied in the construction of Nanjing North Station, assisting in the design of low-carbon concrete materials and predicting the hydration and strength development of concrete based on real-time environmental conditions [5] - It represents a shift towards a data-driven "fourth paradigm" in concrete material research, providing benchmark solutions to critical challenges in data, algorithms, and models within the engineering materials sector [5] - The implementation of this model is expected to accelerate the low-carbon transformation and high-quality development of the building materials industry [5]