Study on the concrete carbonation depth based on genetic neural network

The influence factor of concrete carbonation is complex and changeable, thus the dates´ discrete degree is bigger through the tests or engineering observation. It also leads to the precision of statistical analysis unsatisfactorily. This paper proposes a kind of method of the genetic neural network to calculate the concrete carbonation depth. The results show that the model of concrete carbonation depth changes with time by using the genetic neural network does not need to precise mathematical and physical model, and more precise result will be got.