Adapting Artificial Intelligence to Improve In Situ Concrete Compressive Strength Estimations in Rebound Hammer Tests
نویسندگان
چکیده
منابع مشابه
Improving Non - Destructive Test Results Using Artificial Neural Networks
In the construction industry, non-destructive testing (NDT) methods are gaining more popularity for their ability to examine the in-situ component properties without damaging the structure. One of the most common NDTs for measuring the concrete compressive strength on site is the Rebound Hammer Test. Using the rebound value obtained from the test hammer, the concrete compressive strength can be...
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Non-destructive testing (NDT) methods are important alternatives when destructive tests are not feasible to examine the in situ concrete properties without damaging the structure. The rebound hammer test and the ultrasonic pulse velocity test are two popular NDT methods to examine the properties of concrete. The rebound of the hammer depends on the hardness of the test specimen and ultrasonic p...
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cement is an essential ingredient in the concrete buildings. for production of cement considerable amount of fossil fuel and electrical energy is consumed. on the other hand for generating one tone of portland cement, nearly one ton of carbon dioxide is released. it shows that 7 percent of the total released carbon dioxide in the world relates to the cement industry. considering ecological issu...
Development of Artificial Neural Networks for Predicting Concrete Compressive Strength
This research work focuses on development of Artificial Neural Networks (ANNs) in prediction of compressive strength of concrete after 28 days. To predict the compressive strength of concrete six input parameters that are cement, water, silica fume, super plasticizer, fine aggregate and coarse aggregate are identified. A total of 639 different data sets of concrete was collected from the techni...
متن کاملAssessment of characteristic compressive strength in structures by the rebound hammer test accordingly to EN 13791 : 2007
The European Standard EN 13791 provides methodologies for estimating concrete compressive strength in structures. This standard covers the testing of cores as well as the use of indirect methods, such as the rebound hammer, USPV and pull-out tests. This communication refers to a study carried out in a building where the methodologies presented in EN 13791 has been applied to estimate the in-sit...
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ژورنال
عنوان ژورنال: Frontiers in Materials
سال: 2020
ISSN: 2296-8016
DOI: 10.3389/fmats.2020.568870