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Prediction of the effectiveness of rolling dynamic compaction using artificial neural networks and cone penetration test data
soil mechanics rolling dynamic compaction artificial neural networks cone penetration test ground improvement
2018/12/25
Rolling Dynamic Compaction (RDC)，which is a ground improvement technique involving non-circular modules drawn behind a tractor，has provided the construction industry with an improved ground compaction...
The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks
Burkulma Ag yapisi egitilmesi Yapay sinir aglari Elastik kolonlar
2009/10/13
The Buckling Analysis of Axially Loaded Columns with Artificial Neural Networks。
Verification of filter efficiency of horizontal roughing filter by Weglin's design criteria and Artificial Neural Network
filter efficiency horizontal roughing filter Weglin's design criteria Artificial Neural Network
2010/9/20
The general objective of this study is to estimate the performance of the Horizontal Roughing Filter (HRF) by using Weglin's design criteria based on 1/3–2/3 filter theory. The main objective of the p...
Non-destructive evaluation of ceramic candle filters using artificial neural networks
Neural Network Structural Identification Non-destructive Finite Element Methods
2009/2/18
Ceramic candle filters play an important role in coal-based turbine system for a modern power plant. However, after exposure to the high pressure and high temperature in the gas turbine chamber, the e...