基于 AHP-GWO-BP 神经网络的生态混凝土配合比优化设计

IF 2.6 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES International Journal of Environmental Research Pub Date : 2024-03-05 DOI:10.1007/s41742-023-00562-6
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引用次数: 0

摘要

摘要 生态混凝土具有良好的透水性和透气性,不仅有利于植物生长,还能使地表水渗入地下,拦截污染物。生态混凝土的性能在很大程度上取决于原材料的性质及其相对含量。因此,掌握生态混凝土混合比例的最佳设计方法是实现良好性能的关键。在目前的研究中,还缺乏系统的智能决策模型来预测性能和优化配合比。本文在评价生态混凝土的综合性能时,考虑了生态混凝土的力学性能、透水性能、净化性能和种植性能四个因素。评价采用层次分析法(AHP)进行。引入灰狼优化器(GWO)来增强反向传播(BP)神经网络,并建立了寻找最佳生态混凝土混合比例的优化模型。讨论了两种典型生态混凝土(一种用于过滤,一种用于植物生长)的最佳混合比例。结果表明,AHP-GWO-BP 模型计算出的过滤生态混凝土最佳混合比例如下:粗骨料直径为 10-15 mm,吸附粗骨料占 49.7%,配合比为 118%,水灰比为 28.7%,硅灰混合比为 32.1%。根据给定的参数,进行了生态混凝土性能试验,粗骨料粒径为 12 毫米。结果表明,在这些参数下,抗压强度为 12.3 MPa,抗折强度为 3.35 MPa,透水系数为 14.87 cm s-1,孔隙率为 27.23%,总氮去除率为 80.56%,总磷去除率为 67.33%,pH 值为 9.16,植物干重为 9.37 g:粗骨料直径为 20-25mm,吸附粗骨料占 49.7%,其配合比为 138%,水灰比为 27.3%,硅灰配合比为 34.1%。
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Optimal Design of Ecological Concrete Mix Proportion Based on AHP-GWO-BP Neural Network

Abstract

Ecological concrete has excellent water and air permeability, which not only is conducive to plant growth but also allows surface water to infiltrate underground and intercept pollutants. The performance of ecological concrete is largely determined by the nature of the raw materials and their relative content. Therefore, mastering the optimal design method for the mix proportion of ecological concrete is crucial to achieving good performance. In the current research, there is a lack of systematic intelligent decision-making models for predicting performance and optimizing mix proportions. In this paper, four factors, namely mechanical properties, water permeability, decontamination properties, and planting properties of ecological concrete, were considered when evaluating the comprehensive performance of ecological concrete. The evaluation was conducted using the analytic hierarchy process (AHP). The gray wolf optimizer (GWO) was introduced to enhance the backpropagation (BP) neural network, and an optimization model for finding the optimal ecological concrete mix proportion was established. The optimal mix proportion of two types of typical ecological concrete, one for filtration and one for plant growth, was discussed. The results indicate that the AHP-GWO-BP model calculates the optimal mixing proportion of filtration ecological concrete as follows: The diameter of coarse aggregate is 10–15 mm, with adsorbed coarse aggregate accounting for 49.7%, a component ratio is 118%, the water–cement ratio should be 28.7%, and the silica fume mix ratio should be 32.1%. According to the given parameters, the performance test of ecological concrete is conducted, with a coarse aggregate size of 12 mm. The results showed that under these parameters, the compressive strength was 12.3 MPa, the flexural strength was 3.35 MPa, the water permeability coefficient was 14.87 cm s−1, the porosity was 27.23%, the removal rate of total nitrogen was 80.56%, the removal rate of total phosphorus was 67.33%, the pH was 9.16, and the plant dry weight was 9.37 g. The optimal mix proportion of the planting ecological concrete is as follows: The diameter of the coarse aggregate is 20–25 mm, the adsorbed coarse aggregate accounts for 49.7%, its component ratio is 138%, the water–cement ratio should be 27.3%, and the silica fume mix ratio should be 34.1%.

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来源期刊
CiteScore
5.40
自引率
0.00%
发文量
104
审稿时长
1.7 months
期刊介绍: International Journal of Environmental Research is a multidisciplinary journal concerned with all aspects of environment. In pursuit of these, environmentalist disciplines are invited to contribute their knowledge and experience. International Journal of Environmental Research publishes original research papers, research notes and reviews across the broad field of environment. These include but are not limited to environmental science, environmental engineering, environmental management and planning and environmental design, urban and regional landscape design and natural disaster management. Thus high quality research papers or reviews dealing with any aspect of environment are welcomed. Papers may be theoretical, interpretative or experimental.
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