scholarly journals Multifunctional, sustainable, and biological non-ureolytic self-healing systems for cement-based materials

Engineering ◽  
2022 ◽  
Author(s):  
Mohammad Fahimizadeh ◽  
Pooria Pasbakhsh ◽  
Lee Sui Mae ◽  
Joash Ban Lee Tan ◽  
R.K. Singh Raman
Keyword(s):  
Self Healing ◽  
Cement Based Materials

scholarly journals Bacterial self healing cement based materials: Mechanism at nanoscale

AIP Advances ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 105312 ◽  
Author(s):  
Shunan Lu ◽  
Minghui Chen ◽  
Yudong Dang ◽  
Ling Cao ◽  
Jialuo He ◽  
...  
Keyword(s):  
Self Healing ◽  
Cement Based Materials

scholarly journals Experimental Characterization of the Self-Healing Capacity of Cement Based Materials: An Overview

Proceedings ◽  
2018 ◽  
Vol 2 (8) ◽  
pp. 454 ◽  
Author(s):  
Liberato Ferrara ◽  
Estefania Cuenca Asensio ◽  
Francesco Lo Monte ◽  
Marta Roig Flores ◽  
Mercedes Sanchez Moreno ◽  
...  
Keyword(s):  
The Self ◽  
Self Healing ◽  
Experimental Characterization ◽  
Cement Based Materials

scholarly journals Meta-Analysis and Machine Learning Models to Optimize the Efficiency of Self-Healing Capacity of Cementitious Material

Materials ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4437
Author(s):  
Shashank Gupta ◽  
Salam Al-Obaidi ◽  
Liberato Ferrara
Keyword(s):  
Meta Analysis ◽  
Cementitious Materials ◽  
Initial Crack ◽  
Supplementary Cementitious Materials ◽  
Structural Performance ◽  
Self Healing ◽  
Design Strategies ◽  
Healing Efficiency ◽  
Cement Based Materials ◽  
Artificial Neural Network Ann

Concrete and cement-based materials inherently possess an autogenous self-healing capacity. Despite the huge amount of literature on the topic, self-healing concepts still fail to consistently enter design strategies able to effectively quantify their benefits on structural performance. This study aims to develop quantitative relationships through statistical models and artificial neural network (ANN) by establishing a correlation between the mix proportions, exposure type and time, and width of the initial crack against suitably defined self-healing indices (SHI), quantifying the recovery of material performance. Furthermore, it is intended to pave the way towards consistent incorporation of self-healing concepts into durability-based design approaches for reinforced concrete structures, aimed at quantifying, with reliable confidence, the benefits in terms of slower degradation of the structural performance and extension of the service lifespan. It has been observed that the exposure type, crack width and presence of healing stimulators such as crystalline admixtures has the most significant effect on enhancing SHI and hence self-healing efficiency. However, other parameters, such as the amount of fibers and Supplementary Cementitious Materials have less impact on the autogenous self-healing. The study proposes, through suitably built design charts and ANN analysis, a straightforward input–output model to quickly predict and evaluate, and hence “design”, the self-healing efficiency of cement-based materials.

Low alkali sulpho-aluminate cement encapsulated microbial spores for self-healing cement-based materials

2020 ◽  
Vol 163 ◽  
pp. 107756 ◽  
Author(s):  
Tianwen Zheng ◽  
Yilin Su ◽  
Chunxiang Qian ◽  
Hengyi Zhou
Keyword(s):  
Self Healing ◽  
Cement Based Materials ◽  
Aluminate Cement

Investigation of migration and self-healing ability of ion chelator in cement-based materials by a novel method

2020 ◽  
Vol 262 ◽  
pp. 120917
Author(s):  
Ruiyang Wang ◽  
Jianying Yu ◽  
Shunjie Gu ◽  
Peng He ◽  
Xiaobin Han ◽  
...  
Keyword(s):  
Self Healing ◽  
Cement Based Materials ◽  
Novel Method

Influence of bacterial concentration on crack self-healing of cement-based materials

2020 ◽  
Vol 244 ◽  
pp. 118372 ◽  
Author(s):  
Hui Rong ◽  
Guanqi Wei ◽  
Guowei Ma ◽  
Ying Zhang ◽  
Xinguo Zheng ◽  
...  
Keyword(s):  
Self Healing ◽  
Bacterial Concentration ◽  
Cement Based Materials
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