An Experimental Study on the Evaluation of Unit-Water Content According to Concrete Aggregate Variables though FDR Sensor
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Youn, Ji Won | - |
dc.contributor.author | Yu, Seung hwan | - |
dc.contributor.author | Yang, Hyun Min | - |
dc.contributor.author | Lee, Han Seung | - |
dc.contributor.author | Park, Tae Joon | - |
dc.date.accessioned | 2025-04-09T02:33:20Z | - |
dc.date.available | 2025-04-09T02:33:20Z | - |
dc.date.issued | 2021-10-17 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/124731 | - |
dc.description.abstract | The unit-water content that affects the workability, shrinkage cracking, and durability of concrete is an important factor. Methods for measuring the unit-water content include a high frequency heating method, a capacitance method, a unit volume mass method, and a simple method. However, these methods have the disadvantage of poor measurement method, time required, and precision. To solve this problem, a relatively simple and fast measurement method was adopted to compensate for the shortcomings through a Frequency Domain Reflection (FDR) sensor, and the unit-water content was used. In addition, the measurement data was analyzed by deep learning to evaluate the unit-water content of concrete. | - |
dc.title | An Experimental Study on the Evaluation of Unit-Water Content According to Concrete Aggregate Variables though FDR Sensor | - |
dc.type | Conference | - |
dc.citation.conferenceName | DuraBI 2021 | - |
dc.citation.conferencePlace | 대한민국 | - |
dc.citation.conferenceDate | 2021-10-15 ~ 2021-10-17 | - |
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