A multi-phase mechanical model of biochar–cement composites at the mesoscale

IF 8.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Muduo Li, Xiaohong Zhu, Yuying Zhang, Daniel C. W. Tsang
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引用次数: 0

Abstract

This study presents a five-phase mesoscale modeling framework specifically developed to investigate crack propagation and mechanical properties of biochar–cement composites. The multi-phase model includes porous biochar particles with precise geometric construction, sand aggregates, cement matrix, and interfacial transition zone adjunct to both the biochar particles and sand aggregates. The 3D porous biochar library was first proposed and established in this study, which could provide an external interface for describing different pore shapes, wall thicknesses, and pore areas. All the simulation results were experimentally validated using a digital image correlation. Through precise geometric modeling, the unique failure modes and timing of biochar particles within the mortar were identified. This is analogous to the “strong column–weak beam” concept, accounting for the enhanced ductility observed in the biochar–cement composites under compression test. This work can advance the geometric modeling of porous aggregates broadly and elucidate their mesoscopic failure mechanisms in cementitious materials, thus providing new insights for developing high-ductility and lightweight cement composites.

Abstract Image

中尺度生物炭-水泥复合材料的多相力学模型
本研究提出了一个五相中尺度建模框架,专门用于研究生物炭-水泥复合材料的裂纹扩展和力学性能。多相模型包括具有精确几何结构的多孔生物炭颗粒、砂集料、水泥基体以及生物炭颗粒和砂集料的界面过渡区。本研究首次提出并建立了三维多孔生物炭库,为描述不同的孔隙形状、壁厚和孔隙面积提供了外部接口。所有模拟结果都通过数字图像相关实验进行了验证。通过精确的几何建模,确定了砂浆中生物炭颗粒的独特破坏模式和时间。这类似于 "强柱-弱梁 "的概念,是生物炭-水泥复合材料在压缩试验中延展性增强的原因。这项工作可广泛推进多孔集料的几何建模,并阐明其在水泥基材料中的中观破坏机制,从而为开发高延展性和轻质水泥复合材料提供新的见解。
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来源期刊
CiteScore
17.60
自引率
19.80%
发文量
146
审稿时长
1 months
期刊介绍: Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.
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