Research on a Network Algorithm for Crack Detection in Concrete Structures

Abstract

With the development of the national construction industry, the requirements for
building materials are getting higher and higher. Among them, concrete, as the main
building material, not only requires strong firmness, but also has the characteristics of
condensability, high flow and high durability. And pay attention to the cost of
construction and the convenience of maintenance. Concrete is mainly composed of
cement, sand, aggregate and mixed water additives. The quality of the materials used to
configure the concrete is unqualified, which may cause cracks in the structure. The
gravel particle size is too small, the gradation is poor and the porosity is large. This
will increase the amount of cement and mixing water, affect the strength of the
concrete and increase the shrinkage of the concrete. If you use ultra-fine sand that
exceeds the regulations, the consequences will be more serious. The high content of
mica in sand and gravel will weaken the bond between cement and aggregate and
reduce the strength of concrete. The use of seawater or spring water containing alkali to
mix concrete, or the use of additives containing alkali may have an impact on the alkali
aggregate reaction. It is extremely important to detect cracks, which is helpful to
realize its rapid control