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Effect of recycling hospital ash on the compressive properties of concrete: statistical assessment and predicting model

机译：回收医院灰对混凝土抗压性能的影响：统计评估和预测模型

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摘要

The compressive strength of mixtures made with bottom and fly hospital ash are compared statistically with those of microsilica and conventional concretes in order to evaluate the effectiveness of reusing hospital incinerator ash. Results showed that the concrete cubes recipe and temperature influence the compressive strength values. Generally, the use of microsilica or fly ash, as cement replacement, of 5% by mass increases the compressive strength of concrete at temperatures up to 800℃. Bottom ash did not achieve any increase in strength when used as cement replacement at all percentages. Finally, artificial neural network (ANN) analysis was conducted to study the practicability of using the ANN theoretical model as a prediction tool. The results showed that a one hidden layer back propagation algorithm could produce reasonable outputs that coincide with the experimental results after proper training.
机译：将粉煤灰和医院用粉煤灰制成的混合物的压缩强度与微硅粉和常规混凝土的抗压强度进行统计比较，以评估再利用医院焚烧炉灰的有效性。结果表明，混凝土立方体的配方和温度会影响抗压强度值。通常，使用微硅粉煤灰或粉煤灰作为水泥的替代品（质量分数为5％）可提高混凝土在800℃以下的抗压强度。当用作所有百分比的水泥替代品时，底灰的强度没有增加。最后，进行了人工神经网络（ANN）分析，以研究将神经网络理论模型用作预测工具的实用性。结果表明，经过适当训练后，一个隐藏层反向传播算法可以产生与实验结果相符的合理输出。

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