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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 34
DEVELOPMENTS IN NEURAL NETWORKS AND EVOLUTIONARY COMPUTING FOR CIVIL AND STRUCTURAL ENGINEERING Edited by: B.H.V. Topping
Paper I.1
Integrity Testing of Concrete Surfaces using Artificial Neural Networks R. Begum, D. Chamberlain and A. Hirson
Construction Robotics Unit, City University, London, UK R. Begum, D. Chamberlain, A. Hirson, "Integrity Testing of Concrete Surfaces using Artificial Neural Networks", in B.H.V. Topping, (Editor), "Developments in Neural Networks and Evolutionary Computing for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 1-6, 1995. doi:10.4203/ccp.34.1.1
Abstract
Reinforced concrete decay has become an important issue,
demanding improvements in inspection methods and
procedures. Deploying non-destructive testing (NDT)
methods by a robot system is seen as a practical contribution.
The impact-echo method is one of the NDT methods that is
being investigated for inclusion in this. Finite element
modelling has been used to simulate defective components
subjected to impact-echo systems. The outputs of this are
interpreted by a neural network, which is trained using a range
of case studies. Preliminary results are encouraging.
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