Nano-Scale Tailoring of Engineered Cementitious Composites for Simultaneous Achievement of Enhanced Healing and Sensing Functionalities
| dc.contributor.author | Öztürk, Oğuzhan | |
| dc.contributor.author | Yıldırım, Gürkan | |
| dc.contributor.author | Kul, Anıl | |
| dc.contributor.author | Şahmaran, Mustafa | |
| dc.contributor.author | Keskin, Ülkü Sultan | |
| dc.date.accessioned | 2024-11-14T11:02:06Z | |
| dc.date.available | 2024-11-14T11:02:06Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | Autogenous self-healing can be a handy tool for concrete material to self-repair its own damage. On the other hand, to keep infrastructures in a serviceable state, it is also important to identify and assess any structural damage (cracks) as early as possible, before losing complete and/or sectional integrity. In this regard, efforts can be made to make concrete material work like a sensory material by making its nature electrically conductive (i.e. selfsensing) and responsive to any changes in applied strains. Engineered Cementitious Composites (ECCs) are new-generation ductile concretes capable of favouring autogenous self-healing through the formation of micron-size cracks upon straining. ECCs are also characterized by piezoresistive (self-sensing) response meaning that they exhibit strong dependence of electrical resistivity to the applied loading. Within this context, an attempt has been made here to further nourish both autogenous self-healing and self-sensing capabilities of ECCs by tailoring the matrix properties with different nanomaterials. With the purpose of improving self-healing and self-sensing attributes of ECC material, nano-silica and carbon nanotubes were simultaneously incorporated in mixture compositions, respectively. Tests were performed on sound and pre-loaded (almost-failed) prismatic ECC specimens under four-point bending loading. Both self-sensing and self-healing properties were evaluated before/after the introduction of microcracking and upon exposure to further curing. Results revealed that proposed nano-modification of ECC mixtures significantly improved the autogenous self-healing and self-sensing capabilities simultaneously. Outcomes of this study are believed to make a marked impact on true infrastructural sustainability by not only reducing the frequency of repair/maintenance applications but also making infrastructures much smarter to easily track their own damage. | en_US |
| dc.identifier.isbn | 978-2-35158-211-1 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.13091/6614 | |
| dc.language.iso | en | en_US |
| dc.relation | SynerCrete’xx18 - International Conference on Interdisciplinary Approaches for Cement-based Materials and Structural Concrete | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | Nano-Scale Tailoring | en_US |
| dc.subject | Engineered Cementitious Composites | en_US |
| dc.subject | Simultaneous Achievement | en_US |
| dc.subject | Enhanced Healing | en_US |
| dc.subject | Sensing Functionalities | en_US |
| dc.title | Nano-Scale Tailoring of Engineered Cementitious Composites for Simultaneous Achievement of Enhanced Healing and Sensing Functionalities | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.id | 0000-0003-3085-4528 | |
| gdc.author.id | 0000-0002-9517-9116 | |
| gdc.author.institutional | Öztürk, Oğuzhan | |
| gdc.author.institutional | Keskin, Ülkü Sultan | |
| gdc.coar.access | open access | |
| gdc.coar.type | text::conference output | |
| gdc.description.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, İnşaat Mühendisliği Bölümü | en_US |
| gdc.description.endpage | 1102 | en_US |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | N/A | |
| gdc.description.startpage | 1097 | en_US |
| gdc.description.volume | 2 | en_US |
| gdc.description.wosquality | N/A | |
| gdc.virtual.author | Öztürk, Oğuzhan | |
| gdc.virtual.author | Keskin, Ülkü Sultan | |
| relation.isAuthorOfPublication | f166264b-5ec5-4dce-9eca-b85e12d7d5bf | |
| relation.isAuthorOfPublication | 474671c0-534c-473c-9361-9c3f7994f3bd | |
| relation.isAuthorOfPublication.latestForDiscovery | f166264b-5ec5-4dce-9eca-b85e12d7d5bf |
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