Initial proposal of a smart cement-based material to enhance the service-life of reinforcement concrete structures

Ana Martínez-Ibernón, P. Antonaci, G. Anglani
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引用次数: 0

Abstract

The sustainable development of societies can be pursued by simultaneously avoiding the depletion of materials and resources and reducing the greenhouse gases emissions, with related climatic change effects. In order to get this, the extension of structures service-life plays a significant role in saving natural resources, decreasing the overall anthropogenic carbon-footprint, and reducing building and demolition wastes. In order to achieve such prolongation of structures service-life, one of the most promising approaches is the development of Smart Structures. These are defined as structures that are able to self-sense some external stimuli such as stress or temperature variations, and internal conditions such as chloride penetration, concrete carbonatation, etc. Consequently, ongoing damage phenomena can be detected promptly, thus allowing to implement suitable countermeasures in the most efficient way. Smart Structures can also process the information and respond autonomously in real time by using smart materials technologies such as self-healing technology. In this study we propose a preliminary version of a smart material system with self-healing and sensing properties, to demonstrate its effectiveness at a proof of concept level. The effectiveness of an active, capsule-based self-healing system in blocking chloride penetration through the crack and the effectiveness of voltametric Ag sensors in detecting the presence of chlorides were investigated experimentally. High-performance cement mortar was chosen as the material to be studied, in order to ensure that optimal behaviour could be observed in non-cracked conditions.
一种智能水泥基材料的初步建议,以提高钢筋混凝土结构的使用寿命
社会的可持续发展可以通过同时避免材料和资源的消耗和减少温室气体排放以及相关的气候变化影响来实现。为了实现这一目标,延长建筑物的使用寿命在节约自然资源、减少整体人为碳足迹以及减少建筑和拆除废物方面发挥着重要作用。为了延长结构的使用寿命,发展智能结构是最有前途的方法之一。这些被定义为能够自我感知一些外部刺激(如应力或温度变化)和内部条件(如氯化物渗透、混凝土碳化等)的结构。因此,可以及时发现正在发生的损害现象,从而允许以最有效的方式实施适当的对策。智能结构还可以利用自愈技术等智能材料技术,对信息进行实时处理和自主响应。在这项研究中,我们提出了一个具有自我修复和传感特性的智能材料系统的初步版本,以证明其在概念验证层面的有效性。实验研究了一种基于活性胶囊的自愈系统在阻止氯化物通过裂纹渗透方面的有效性,以及电压银传感器在检测氯化物存在方面的有效性。选择高性能水泥砂浆作为研究材料,以确保在无开裂条件下可以观察到最佳性能。
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来源期刊
自引率
0.00%
发文量
342
审稿时长
6 weeks
期刊介绍: MATEC Web of Conferences is an Open Access publication series dedicated to archiving conference proceedings dealing with all fundamental and applied research aspects related to Materials science, Engineering and Chemistry. All engineering disciplines are covered by the aims and scope of the journal: civil, naval, mechanical, chemical, and electrical engineering as well as nanotechnology and metrology. The journal concerns also all materials in regard to their physical-chemical characterization, implementation, resistance in their environment… Other subdisciples of chemistry, such as analytical chemistry, petrochemistry, organic chemistry…, and even pharmacology, are also welcome. MATEC Web of Conferences offers a wide range of services from the organization of the submission of conference proceedings to the worldwide dissemination of the conference papers. It provides an efficient archiving solution, ensuring maximum exposure and wide indexing of scientific conference proceedings. Proceedings are published under the scientific responsibility of the conference editors.
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