Micromechanical modelling of self-healing cementitious materials

The Materials for Life (M4L) project team have developed multi‐scale self-healing systems for cementitious materials using a range of interdisciplinary technologies. The three-year EPSRC funded project, which began in July 2013, was a collaboration between Cardiff University, University of Cambridge and University of Bath. The project investigated individual healing techniques, combined these techniques in the laboratory and now used these techniques in the field at the full-scale. The research has included experimental and numerical modeling work. This dataset comprises the raw data generated whist modeling self-healing cementitious materials, in particular related to the micro-mechanical modeling approach. Raw material properties and composition of modeled concrete are given alongside key model parameters, such as, Young's modulus, volume fraction, Poisson's ratio, uniaxial strain, tensile strength, healing efficiency healing strength and model directional micro-cracking parameters. The raw data used to describe the response of the micromechanical model are given in the dataset. These include, the model response with standard material properties for both unconfined stress, confined stress in the y-y and z-z direction and the micro-cracking parameters. The raw data for the parametric study of model performance is given alongside the experimental data and model generated data for three examples of healing in concrete.

‘Materials for Life（简称M4L）’项目团队依托多学科交叉技术，开发了面向胶凝材料的多尺度自修复体系。本项目由英国工程与自然科学研究理事会（Engineering and Physical Sciences Research Council, EPSRC）资助，为期三年，于2013年7月启动，由卡迪夫大学、剑桥大学与巴斯大学联合开展。项目先后开展了单一自修复技术的研究，在实验室中完成了多种技术的集成验证，并最终将其推广至全尺寸现场应用。本研究涵盖实验与数值模拟两类工作。
本数据集包含自修复胶凝材料建模过程中产生的原始数据，尤其聚焦于细观力学建模方法相关内容。数据集提供了待建模混凝土的原材料属性与组分信息，同时附带核心模型参数，包括杨氏模量（Young's modulus）、体积分数、泊松比（Poisson's ratio）、单轴应变、抗拉强度、修复效率、修复强度以及模型定向微裂纹参数。
数据集还包含用于描述细观力学模型响应的原始数据，涵盖采用标准材料属性得到的模型响应（包括无约束应力、y-y与z-z方向约束应力）以及微裂纹参数。此外，数据集附带了模型性能参数化研究的原始数据，同时包含三个混凝土自修复案例的实验数据与模型生成数据。