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Non-destructive neural identification of the bond between concrete layers in existing elements

机译:现有元素中混凝土层之间粘结的无损神经识别

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摘要

The paper presents the results regarding the identification of the value of the pull-off adhesion between a concrete added layer with a constant thickness and a substrate concrete layer in existing elements. A method of identification, which is based solely on the use of artificial neural networks (ANNs) and two non-destructive acoustic methods: impact-echo and impulse response on the surface of the added layer, was developed. The methodology of identifying the pull-off adhesion between a concrete added layer and a substrate layer in existing elements was developed and presented in the paper and is useful in construction practice. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文介绍了有关鉴定现有元素中恒定厚度的混凝土添加层和基底混凝土层之间的剥离粘合力值的结果。开发了一种识别方法,该方法仅基于人工神经网络(ANN)和两种非破坏性声学方法:添加层表面的冲击回波和脉冲响应。在本文中开发并提出了在现有元素中识别混凝土添加层与基材层之间的剥离粘附力的方法,该方法可用于建筑实践。 (C)2016 Elsevier Ltd.保留所有权利。

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