Reliability Comparison of Schmidt Rebound Hammer as a Non-Destructive Test with Compressive Strength Tests for different Concrete Mix
نویسندگان
چکیده
منابع مشابه
Comparative evaluation of Schmidt hammer test procedures for prediction of rocks strength
Uniaxial compressive and Brazilian tensile strengths (UCS and BTS) of rocks are considered important properties in the design of most the geotechnical projects that interact with rock such as slope stability and underground excavation. Measuring UCS and BTS using standard laboratory tests are time consuming, tedious and expensive. Moreover, it requires a large number of well-prepared rock cores...
متن کاملImproving Non-Destructive Concrete Strength Tests Using Support Vector Machines
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...
متن کاملApplication of Soft Computing Methods for the Estimation of Roadheader Performance from Schmidt Hammer Rebound Values
Estimation of roadheader performance is one of the main topics in determining the economics of underground excavation projects. The poor performance estimation of roadheader scan leads to costly contractual claims. In this paper, the application of soft computing methods for data analysis called adaptive neuro-fuzzy inference system- subtractive clustering method (ANFIS-SCM) and artificial neu...
متن کاملImproving 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...
متن کاملIntergration of neural networks with NDE for concrete strength prediction
The application of neuro-fuzzy inference system to predict the compressive strengths of concrete is presented in this study. To investigate the influence of various parameters which affect the compressive strength, 2000 data samples were used for the analysis. Adaptive neuro-fuzzy inference system (ANFIS) was introduced for training and testing the data obtained from technical literatures. To r...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2019
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1378/3/032096