Non-destructive neural identification of the moisture content of saline ceramic bricks

作者：Goetzke Pala Adelajda; Hola Jerzy; Sadowski Lukasz^*

来源：Construction and Building Materials, 2016, 113: 144-152.

DOI：10.1016/j.conbuildmat.2016.03.044

• Ceramic brick
• Mass moisture
• Salinity
• Non-destructive electric methods
• Artificial neural network

The use of the artificial neural network (ANN) for the non-destructive identification of the moisture content of saline ceramic bricks is presented in the following article. A database was built based on conducted laboratory tests of solid ceramic bricks using dielectric, resistive and microwave methods. The database consists of parameters determined with the above-mentioned methods and also parameters describing the type and concentration of salts in the bricks. As a result of carried out research and analysis it was proved that neural identification of the moisture content of saline ceramic bricks is possible.

• 出版日期2016-6-15