利用人工神经网络研究影响混凝土碳化深度进度的参数

IF 1.1 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY
P. Akpınar, I. D. Uwanuakwa
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引用次数: 16

摘要

碳化是一个有害的混凝土耐久性问题,它可能会改变混凝土的微观结构,并导致钢筋腐蚀。先前的研究集中在使用人工神经网络(ANN)预测混凝土碳化深度,并最大限度地减少破坏性和精细土木工程实验室测试的需要。本研究旨在通过采用替代标度共轭梯度(SCG)函数的包括18个输入参数的ANN架构,提高碳酸化模拟和预测的准确性。在确保相关系数高达0.98的有希望的值后,研究了所提出的输入参数对碳酸化深度进展的影响。观察到该参数分析的结果成功地符合传统土木工程经验。因此,所采用的人工神经网络模型可以作为一种有效的工具来详细研究和深入了解混凝土中的碳化问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of the parameters influencing progress of concrete carbonation depth by using artificial neural networks
Carbonation is a deleterious concrete durability problem which may alter concrete microstructure and yield initiation of corrosion in reinforcing steel bars. Previous studies focused on the use of Artificial Neural Networks (ANN) for the prediction of concrete carbonation depth and to minimize the need for destructive and elaborated civil engineering laboratory tests. This study aims to provide improved accuracy of simulation and prediction of carbonation with an ANN architecture including eighteen input parameters employing alternative Scaled Conjugate Gradient (SCG) function. After ensuring a promising value of the coefficient of correlation as high as 0.98, the influence of proposed input parameters on the progress of carbonation depth was studied. The results of this parametric analysis were observed to successfully comply with the conventional civil engineering experience. Hence, the employed ANN model can be used as an efficient tool to study in detail and to provide insights into the carbonation problem in concrete.
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来源期刊
Materiales de Construccion
Materiales de Construccion 工程技术-材料科学:综合
CiteScore
3.20
自引率
9.50%
发文量
38
审稿时长
>12 weeks
期刊介绍: Materiales de Construcción is a quarterly, scientific Journal published in English, intended for researchers, plant technicians and other professionals engaged in the area of Construction, Materials Science and Technology. Scientific articles focus mainly on: - Physics and chemistry of the formation of cement and other binders. - Cement and concrete. Components (aggregate, admixtures, additions and similar). Behaviour and properties. - Durability and corrosion of other construction materials. - Restoration and conservation of the materials in heritage monuments. - Weathering and the deterioration of construction materials. - Use of industrial waste and by-products in construction. - Manufacture and properties of other construction materials, such as: gypsum/plaster, lime%2
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