Because of building higher story and larger buildings, and because current concrete, a basic construction material, needs higher strength rather than normal strength, the use of high-strength concrete becomes more widely spread. High-strength concrete shows very high temperature increase due to inside heat of hydration different from normal-strength concrete, and because mass concrete under low temperature shows temperature stress due to temperature difference between inner and outer parts, it is known or reported that there is a significant difference between the compressive strength of srtucture and that of specimen for management, and between the compressivestrength of circular specimen made by standard underwater curing and structure concrete Therefore, in this research, an adiabatic curing box was manufactured which can provide hydration heat hysteresis of high strength mass concrete members and similar hydration heat hysteresis, using insulating materials, as a easy and exact method to manage compressive strength of rnass concrete member under low temperature, and the features of concrete member and those of specimen for management were compared.

This paper presents the prediction method of concrete strength according to curing methods for the quality control. Database and an artificial neural network were constructed and then the prediction program of concrete strength were developed.

In this study trying to develop a monitoring system for temperature and humidity measurement of quality control methods suitable for curing concrete nuclear power plant structures. This experiment is divided part of data logger, sensors, control program in a accordance with standar of quality control Nuclear power plant hot weather/the middle of summer. This measuring method is expected to development quality control nuclear power plant