| 基于神经网络的混凝土断裂参数灰色软测量 |
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| 引用本文： | 李勇,邵诚. 基于神经网络的混凝土断裂参数灰色软测量[J]. 测试技术学报, 2005, 19(2): 146-151 |
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| 作者姓名： | 李勇 邵诚 |
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| 作者单位： | 大连理工大学,先进控制技术研究所,辽宁,大连,116024;大连理工大学,先进控制技术研究所,辽宁,大连,116024 |
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| 基金项目： | 国家科技攻关计划资助项目（2001BA204B01）;辽宁省科技攻关计划资助项目 |
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| 摘 要： | 断裂能和断裂区长度作为骨料的重要参数无法通过常规方法进行检测，基于神经网络提出了一种新的软测量方法，采用灰关联分析作为软测量建模中辅助变量选择的工具，对土木工程中常用的混凝土弯曲梁的断裂能和断裂区长度进行预测，结果表明，该方法具有较高精度，可满足实际需要。
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| 关 键 词： | 径向基 局部逼近 软测量 灰关联分析 断裂能性 |
| 文章编号： | 1671-7449（2005）02-0146-06 |
| 收稿时间： | 2004-10-20 |
| 修稿时间： | 2004-10-20 |
Grey Soft Sensor of Concrete Fracture Parameters Based on Neural Network |
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| LI Yong,Shao Cheng. Grey Soft Sensor of Concrete Fracture Parameters Based on Neural Network[J]. Journal of Test and Measurement Techol, 2005, 19(2): 146-151 |
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| Authors: | LI Yong Shao Cheng |
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| Abstract: | Fracture energy and crack length, as two imperative parameters of aggregates, can't be measured by usual methods. Based on neural network, a novel design of soft-sensor is presented, in which grey relation analysis as an assistant tool of secondary variables selection in the modeling course of soft-sensor is used to predict the fracture energy and crack length of concrete bending beams. Finally, the result shows that the design possesses high accuracy and can meet the practical demands. |
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| Keywords: | radiate basis functions partial approximation soft sensor grey relation analysis fracture energy |
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