优化灰色模型在建材测试数据处理中的应用
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N941.5 TU522.11

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国家自然科学基金重点资助项目(59938170)


Application of a Modified Grey Model in the Processing of Physical Chemistry Experimental Data of Building Materials
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    摘要:

    对于建材物化测试中得到的非等时距、非负性、具有指数规律饱和发展趋势离散数据,采用非等时距Verhulst直接模型进行模拟和预测的效果十分理想、用该模型对水泥水化浆体非蒸发水质量分数和结合水质量分数的TG—DTA试验数据进行了数据预报,检验结果表明:该模型不仅预测精度高,大大缩短试验时间,节省试验费用,而且还可方便计算机编程,便于在建材物化测试数据处理中应用、

    Abstract:

    The effect of applying the non-equal interval Verhulst direct model in processing the data, which are non-equal interval, non-negative, and have index laws and saturated development trends, is greatly perfect. Two groups of TG-DTA experimental data were cited to forecast the contents of non-evaporable water and conbined water of hydrated cement paste by this gray model,and the high forecast precisions of this modified gray model were validated by the results of examples. The results show that the model can be used to process the original data that are non-equal interval, saturated and index laws. Its modeling process can be programmed by normal application software, which will make the researchers feel more comfortable and easier in experiments of building materials.

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郭丽萍,孙伟,陈波.优化灰色模型在建材测试数据处理中的应用[J].建筑材料学报,2005,(3):222-227

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  • 最后修改日期:2004-05-14
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