DSpace Collection:http://localhost:8080/xmlui/handle/123456789/24882026-06-23T06:33:52Z2026-06-23T06:33:52ZPrediction of Strengths of Remixed ConcreteBidkar, K LJadhao, P. D.http://localhost:8080/xmlui/handle/123456789/24892020-01-27T08:51:42Z2019-06-12T00:00:00ZTitle: Prediction of Strengths of Remixed Concrete
Authors: Bidkar, K L; Jadhao, P. D.
Abstract: This paper deals with the methodology, related to
application of neural network analysis for reuse of partially set old
concrete by adding fresh concrete to form usable mix by
considering their time lags and blend ratios. When we relate the
strength of the freshly prepared concretes the preset concrete
obviously gives the reduction in strength. This problem will be
overcome by adding a specific quantity of fresh mass to the
partially set old concrete mass. The paper focuses on the
utilization of neural network (N.N.) for predicting the 28-day
strengths of concrete. The complex nonlinear relationship
between the responses (factors that influence concrete
strength-blend ratio, time lag, strength at initial setting time and
final setting time) and the output (concrete strength) can be built
by applying N.N. High degree of accuracy is achieved by the
model for prediction of strengths.2019-06-12T00:00:00Z