Title:
Simplified Methods for Crack Risk Analyses of Early Age Concrete Part 2: Restraint Factors for Typical Case Wall-on-Slab
Author(s):
Majid Al-Gburi, Jan –Erik Jonasson, S. T. Yousif, Martin Nilsson
Publication:
NCR
Volume:
46
Issue:
3
Appears on pages(s):
39-56
Keywords:
Restraint curves, early age concrete, wall-on-slab, artificial neural network
DOI:
Date:
12/15/2012
Abstract:
Existing restraint curves have been applied to the method of artificial neural networks (ANN) to model restraint in the wall for the typical structure wall-on-slab. It has been proven that ANN is capable of modeling the restraint with good accuracy. The usage of the neural network has been demonstrated to give a clear picture of the relative importance of the input parameters. Further, it is shown that the results from the neural network can be represented by a series of basic weight and response functions. Thus, the results can easily be made available to any engineer without use of complicated software.
Norwegian Concrete Association, International Partner Access
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