Abstract
This study consists of two phases. In Phase I study,
the natural cooling characteristics of cement matrix
coating and non-coating specimen was detected after the
accelerating aging test completed using the Infrared
thermography, and found of that cooling curve fitting may
present the relationship of material aging. In Phase II
study, temperature accelerated aging test of plastering
cement mortar specimens was carried out. Therefore, the
infrared thermal imaging detection analysis of cement
mortar specimens with aging and non-aging was separately
heated. The verification was carried out by using a three
layer back-propagation neural network numerical models
with cooling curve characteristic values obtained from the
test. The results can use to establish the correlation
between infrared thermal imaging detection and existing
aging results.