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Application of Neural Networks for Estimation of Concrete Strength
Publisher: American Society of Civil Engineers
Abstract: The uniaxial compressive strength of concrete is the most widely used criterion in producing concrete. Although testing of the uniaxial compressive strength of concrete specimens is done routinely, it is performed on the ...
Application of Probabilistic Neural Networks for Prediction of Concrete Strength
Publisher: American Society of Civil Engineers
Abstract: The compressive strength of concrete is a commonly used criterion in producing concrete. However, the tests on the compressive strength are complicated and time consuming. More importantly, it is too late to make improvements ...
Closure to “Application of Neural Networks for Estimation of Concrete Strength” by Jong-In Kim, Doo Kie Kim, Maria Q. Feng, and Frank Yazdani
Publisher: American Society of Civil Engineers
Baseline Models for Bridge Performance Monitoring
Publisher: American Society of Civil Engineers
Abstract: A baseline model is essential for long-term structural performance monitoring and evaluation. This study represents the first effort in applying a neural network-based system identification technique to establish and update ...
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