• 文献标题:   Prediction Model and Mechanism for Drying Shrinkage of High-Strength Lightweight Concrete with Graphene Oxide
  • 文献类型:   Article
  • 作  者:   HONG XJ, LEE JC, NG JL, ABDULKAREEM M, YUSOF ZM, LI QS, HE Q
  • 作者关键词:   drying shrinkage, modified prediction model, pore structure, microstructure, highstrength lightweight concrete, shale ceramsite, graphene oxide
  • 出版物名称:   NANOMATERIALS
  • ISSN:  
  • 通讯作者地址:  
  • 被引频次:   0
  • DOI:   10.3390/nano13081405
  • 出版年:   2023

▎ 摘  要

The excellent performance of graphene oxide (GO) in terms of mechanical properties and durability has stimulated its application potential in high-strength lightweight concrete (HSLWC). However, more attention needs to be paid to the long-term drying shrinkage of HSLWC. This work aims to investigate the compressive strength and drying shrinkage behavior of HSLWC incorporating low GO content (0.00-0.05%), focusing on the prediction and mechanism of drying shrinkage. Results indicate the following: (1) GO can acceptably reduce slump and significantly increase specific strength by 18.6%. (2) Drying shrinkage increased by 8.6% with the addition of GO. A modified ACI209 model with a GO content factor was demonstrated to have high accuracy based on the comparison of typical prediction models. (3) GO not only refines the pores but also forms flower-like crystals, which results in the increased drying shrinkage of HSLWC. These findings provide support for the prevention of cracking in HSLWC.