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A data-enhanced approach for early-age drying induced moisture transport analysis on in-situ casted textile fibre reinforced concrete
Journal of Building Engineering ( IF 6.7 ) Pub Date : 2024-06-22 , DOI: 10.1016/j.jobe.2024.110027
Hasika Dharmasooriya , Yuguo Yu , Chamila Gunasekara , Dilan J. Robert , Sujeeva Setunge

With the addition of textile fibres that alters pore structure, the novel Textile Fibre Reinforced Concrete (TFRC) exhibits great potential in reducing drying shrinkage and enhancing long-term durability. To advance material design, this study aims at developing a coupled experimental-numerical framework with a data-enhanced approach to identify the essential material properties that govern the moisture transportation in TFRC. The scope of analysis covers the TFRC manufactured with various fibre types and different fibre volumes, where the time-dependent effect associated with early age is investigated. An inverse analysis framework, coupling Particle Swarm Optimisation (PSO) and extended support vector regression (XSVR), is developed and validated against experimentation by monitoring moisture distribution. Results reveals that the incorporation of textile fibres leads to a substantial reduction in the moisture diffusivity of TFRC, as opposed to conventional concrete of identical w/b and aggregate content. Notably, TFRC mixtures with 0.4 % Nylon twist and PTT600 fibres showed a 95 % reduction in moisture diffusivity compared to the conventional concrete. This discovery illustrates the capability of textile fibres, when optimally introduced, to mitigate moisture loss from cementitious materials, reducing drying shrinkage of concrete building. The proposed approach is demonstrated to be able to robustly quantify the early-age moisture transportation in TFRC, which is of potential to guide future concrete design of using textile fibre reinforcement towards controlling early-age shrinkage in building industry.

中文翻译:


现场浇注纺织纤维混凝土早期干燥诱导水分传输分析的数据增强方法



通过添加改变孔隙结构的纺织纤维,新型纺织纤维增强混凝土(TFRC)在减少干燥收缩和提高长期耐久性方面表现出巨大潜力。为了推进材料设计,本研究旨在开发一个耦合的实验数值框架,采用数据增强方法来确定控制 TFRC 中水分传输的基本材料特性。分析范围涵盖使用各种纤维类型和不同纤维体积制造的 TFRC,其中研究了与早龄相关的时间依赖性效应。通过监测湿度分布,开发并验证了结合粒子群优化 (PSO) 和扩展支持向量回归 (XSVR) 的逆分析框架。结果表明,与相同水灰比和骨料含量的传统混凝土相比,纺织纤维的加入导致 TFRC 的水分扩散率大幅降低。值得注意的是,与传统混凝土相比,含有 0.4% 尼龙加捻和 PTT600 纤维的 TFRC 混合物的水分扩散率降低了 95%。这一发现说明了纺织纤维在最佳引入时能够减少水泥材料的水分损失,从而减少混凝土建筑的干燥收缩。所提出的方法被证明能够稳健地量化 TFRC 中的早期水分传输,这有可能指导未来使用纺织纤维增强的混凝土设计来控制建筑行业的早期收缩。
更新日期:2024-06-22
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