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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/4218
Title: An apt material model for drying shrinkage and specific creep of HPC using artificial neural network
Authors: Gedam B.A.
Bhandari N.M.
Upadhyay, Akhil
Published in: Structural Engineering and Mechanics
Abstract: In the present work appropriate concrete material models have been proposed to predict drying shrinkage and specific creep of High-performance concrete (HPC) using Artificial Neural Network (ANN). The ANN models are trained, tested and validated using 106 different experimental measured set of data collected from different literatures. The developed models consist of 12 input parameters which include quantities of ingredients namely ordinary Portland cement, fly ash, silica fume, ground granulated blastfurnace slag, water, and other aggregate to cement ratio, volume to surface area ratio, compressive strength at age of loading, relative humidity, age of drying commencement and age of concrete. The Feed-forward backpropagation networks with Levenberg-Marquardt training function are chosen for proposed ANN models and same implemented on MATLAB platform. The results shows that the proposed ANN models are more rational as well as computationally more efficient to predict time-dependent properties of drying shrinkage and specific creep of HPC with high level accuracy. Copyright © 2014 Techno-Press, Ltd.
Citation: Structural Engineering and Mechanics(2014), 52(1): 97-113
URI: https://doi.org/10.12989/sem.2014.52.1.097
http://repository.iitr.ac.in/handle/123456789/4218
Issue Date: 2014
Publisher: Techno Press
Keywords: Artificial neural network
Drying shrinkage
High performance concrete
Prediction models
Specific creep
ISSN: 12254568
Author Scopus IDs: 56422203500
7103395363
13608643500
Author Affiliations: Gedam, B.A., Civil Engineering Department, Indian Institute of Technology, Roorkee, Uttarakhand, 247667, India
Bhandari, N.M., Civil Engineering Department, Indian Institute of Technology, Roorkee, Uttarakhand, 247667, India
Upadhyay, A., Civil Engineering Department, Indian Institute of Technology, Roorkee, Uttarakhand, 247667, India
Corresponding Author: Gedam, B.A.; Civil Engineering Department, Indian Institute of TechnologyIndia
Appears in Collections:Journal Publications [CE]

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