Research of Cast-in-place Concrete Nondsetuctive Test of the Compositive Building of Science and Technology of Northeastern University

Concrete structure durability is a very complicated problem influenced by many variable factors.Concrete durability affects the whole safety of structure, so it is very necessary to carry on the health monitoring of the durability to the structure. This paper uses the partial method (testing particular piece of structure depend on Nondestructive Test) to carry on healthy monitoring to the northeast university. This paper established correlativity between concrete structure strength and sample strength and provided initial parameter for health monitoring of future.Along with appliance and spread of High Strenght Concrete and commercial pumping concrete, traditional curve for ascertaining concrete strength by rebound method is not right. So we studied methods to ascertain concrete compressive strength of commercial concrete structure bodies by rebound、 ultrasonic and ultrasonic—rebound method. Fist, by testing rebound value, velocity of sound and compressive strength on each of cubic specimens cured under the curing condition, we have established a regressive equation about relationship "Nondestructive parameter—strength" of the specimens.Next , inconsideration of fact that strength of specimens do not represent perfectly the ones of concrete structures because of difference of curing conditions and molding methods , we did the samples under the same curing condition to the structure to do amending and eliminate the difference . The paper contacted factual detecting instance , researched the samples under the sdme curing condition to the structure and educed a regressive equation that accords with factual engineering.The achievement in the study might be an important basis for establishing local curves to ascertain concrete strength by Nondestructive methods.We did several times of situ detecting to the pillars and walls of the structure, memorizing the changes of detecting results in the same location at different times. Using the detecting data of structure bodies and applying GM (1,1) model , we