Nonlinear predictive modeling of building rates incorporating filament compression deformations in 3D printed geopolymer concrete  

作　　者：Wei CHEN Jinlong PAN Binrong ZHU Jinsheng HAN Yamei ZHANG Yuandi QIAN Qian YU 

机构地区：[1]Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education,School of Civil Engineering,Southeast University,Nanjing 211189,China [2]College of Civil Engineering,Nanjing Forestry University,Nanjing 210037,China [3]School of Materials Science and Engineering,Jiangsu Key Laboratory of Construction Materials,Southeast University,Nanjing 211189,China [4]MCC17 Group Co.,Ltd.,Ma’anshan 243000,China

出　　处：《Frontiers of Structural and Civil Engineering》2025年第3期458-476,共19页结构与土木工程前沿(英文版)

基　　金：the National Natural Science Foundation of China(Grant No.52130210);the MCC17 Group Co.,Ltd.Fund(No.SQY2023CXY01).

摘　　要：3D printed concrete undergoes compressive deformation when printed fresh, often overlooked by traditional methods, impacting buildability prediction accuracy. In this paper, the buildability prediction model is modified by incorporating the Mohr–Coulomb damage criterion and focusing on the compressive deformation during the printing process. The prediction model combines the following key components: 1) the utilization of bilinear stress−time loading curves to simulate nonlinear stress−time loading curves during the actual printing process;2) conducting uniaxial unconfined compression tests on cylindrical fresh specimens with different aspect ratios (ranging from 0.25 to 2) to extract the stress–strain response of the material;3) the refinement of material parameters (including elastic modulus and plastic yield stress) and their variations with aspect ratio derived from the uniaxial unconfined tests. The material experimentation results indicate that the green strength exponentially decreases with increasing aspect ratio, while Young’s modulus exhibits a linear increase with the same parameter. Experimental comparisons were made during hollow drum printing tests using two different printing materials against the Mohr–Coulomb buildability prediction model. The results from these experiments demonstrate the improved accuracy of the new model in predicting failure heights (with relative error rates of 5.4% and 10.5%).

关 键 词：3D concrete printing BUILDABILITY green strength Young’s modulus nonlinear building prediction model 

分 类 号：TU528[建筑科学—建筑技术科学]