Empowering knowledge graphs with hybrid retrieval-augmented generation for the intelligent mix scheme of mass concrete

To achieve precise multi-objective mix design of dam concrete-targeting strength, durability, and crack resistance-this study proposes a Dam Concrete Mix Proportioning intelligent generation System (DCMPS) based on a Retrieval-Augmented Generation (RAG) framework. Firstly, a total of 1723 mix propor...

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Bibliographic Details
Main Authors:	Yuqing Shang, Zhijiang Ke, Peng Lin, Qianhui Ren, Wenshan Zhang, Xiongwu Wang, Xiaotao Li, Fuyuan Gong, Shiqi Wang, Baofa Wang, Zhengkui Xu, Minglun Sun, Shunli Tan
Format:	Article
Language:	English
Published:	Elsevier 2025-12-01
Series:	Case Studies in Construction Materials
Subjects:	Mixture design Knowledge graph Large language model Retrieval-augmented generation Semantic retrieval
Online Access:	http://www.sciencedirect.com/science/article/pii/S2214509525007776
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Empowering knowledge graphs with hybrid retrieval-augmented generation for the intelligent mix scheme of mass concrete

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