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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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