Self-Healing Fiber Composites With a Self-Pressurized Healing System

Author(s):  
Yong Zhu ◽  
Xiao Ji Ye ◽  
Min Zhi Rong ◽  
Ming Qiu Zhang
Materials ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4139
Author(s):  
Yanju Wang ◽  
Zhiyang Lin ◽  
Can Tang ◽  
Wenfeng Hao

The amounts of the components in a microcapsule self-healing system significantly impact the basic performance and self-healing performance of concrete. In this paper, an orthogonal experimental design is used to investigate the healing performance of microcapsule self-healing concrete under different pre-damage loads. The strength recovery performance and sound speed recovery performance under extensive damage are analyzed. The optimum factor combination of the microcapsule self-healing concrete is obtained. Scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) are carried out on the concrete samples before and after healing to determine the healing mechanism. The results show that the healing effect of self-healing concrete decreases with an increase in the pre-damage load, and the sound speed recovery rate increases with an increase in the damage degree. The influence of the sodium silicate content on the compressive strength and compressive strength recovery rate of the self-healing concrete increases, followed by a decrease. The optimum combination of factors of the microcapsule self-healing system is 3% microcapsules, 30% sodium silicate, and 15% sodium fluosilicate. The results can be used for the design and preparation of self-healing concrete.


Author(s):  
H R Williams ◽  
R S Trask ◽  
I P Bond

Design and certification of novel self-healing aerospace structures was explored by reviewing the suitability of conventional deterministic certification approaches. A sandwich structure with a vascular network self-healing system was used as a case study. A novel probabilistic approach using a Monte Carlo method to generate an overall probability of structural failure yields notable new insights into design of self-healing systems, including a drive for a faster healing time of less than two flight hours. In the case study considered, a mature self-healing system could be expected to reduce the probability of structural failure (compared to a conventional damage-tolerant construction) by almost an order of magnitude. In a risk-based framework this could be traded against simplified maintenance activity (to save cost) and/or increased allowable stress (to allow a lighter structure). The first estimate of the increase in design allowable stresses permitted by a self-healing system is around 8 per cent, with a self-healing system much lighter than previously envisaged. It is thought these methods and conclusions could have wider application to self-healing and conventional high-performance composite structures.


2008 ◽  
Vol 18 (13) ◽  
pp. 1898-1904 ◽  
Author(s):  
Mary M. Caruso ◽  
Benjamin J. Blaiszik ◽  
Scott R. White ◽  
Nancy R. Sottos ◽  
Jeffrey S. Moore

2016 ◽  
Vol 101 ◽  
pp. 62-68
Author(s):  
Oluwafemi Sedoten Kuponu ◽  
Visakan Kadirkamanathan ◽  
Bishakh Bhattacharya ◽  
Simon Alexander Pope

The ability of a material to recover its nominal properties through self-healing is gaininginterest in the research community. However, current approaches remain predominantly passive incounteracting the effect of damage. As a result, healing only begins when the material has occurreddamage and typically there is a mismatch between the healing and damage rate. For applications suchas aircraft, where there is a thin line between functionality and non-functionality, these limitations maybe inherently restrictive. A self-healing system that combines a prognosis unit to predict and estimatethe failure rate and an active self-healing system that matches the healing rate to the estimated failurerate using a feedback loop, has the potential to overcome these limitations. In this paper we proposesuch a system and present results for its application to composite materials.


2020 ◽  
Vol 515 ◽  
pp. 146018 ◽  
Author(s):  
Min Su Kim ◽  
Jung Wook Kim ◽  
Junyeong Yun ◽  
Yu Ra Jeong ◽  
Sang Woo Jin ◽  
...  

2020 ◽  
Vol 189 ◽  
pp. 108535 ◽  
Author(s):  
HongLin Hu ◽  
Lu Zhang ◽  
RuiLian Yu ◽  
LiYe Yuan ◽  
YunHua Yang ◽  
...  
Keyword(s):  

Author(s):  
Daniel Perez Duarte ◽  
Joao Carlos Guaraldo ◽  
Henrique Kagan ◽  
Bruno Hideki Nakata ◽  
Paulo Cesar Pranskevicius ◽  
...  

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