| 基于神经网络的深基坑支护结构变形预测研究 |
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| 引用本文： | 时红莲,梁本亮,曾照明,唐朝晖.基于神经网络的深基坑支护结构变形预测研究[J].河南科学,2005,23(1):56-59. |
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| 作者姓名： | 时红莲 梁本亮 曾照明 唐朝晖 |
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| 作者单位： | 中国地质大学工程学院,湖北,武汉,430074;同济大学土木工程学院,上海,200092;山东水利工程总公司,山东,济南,250013 |
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| 摘 要： | 基坑工程由于受多种因素的影响,目前已成为岩土工程中的重点和难点。在基坑工程施工中,需要根据现场实际情况、周围环境、建筑安全等级等对变形进行严格控制。通过现场量测的深基坑围护结构变形信息资料,对实测数据进行整理和分析,利用神经网络对支护结构的变形做出预测,以保证基坑安全施工。
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| 关 键 词： | 深基坑 支护结构 BP神经网络 变形预测 |
| 文章编号： | 1004-3918(2005)01-0056-04 |
| 修稿时间： | 2004年10月25 |
Research on deformation forecasting of deep foundation pit supporting structure based on neural networks |
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| SHI Hong-lian,LIANG Ben-liang,ZENG Zhao-ming,TANG Zhao-hui.Research on deformation forecasting of deep foundation pit supporting structure based on neural networks[J].Henan Science,2005,23(1):56-59. |
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| Authors: | SHI Hong-lian LIANG Ben-liang ZENG Zhao-ming TANG Zhao-hui |
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| Institution: | SHI Hong-lian~1,LIANG Ben-liang~2,ZENG Zhao-ming~3,TANG Zhao-hui~1 |
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| Abstract: | Deep foundation pit was affected by several factors, has becoming the focus of the geotectonic engineering. The deformation must be controlled rigorous according to the surrounding environment condition and safety level of the building. After analyzed the data of the deformation information of the field-test, utilized the neural network to make prediction about the deformation of supporting structure and guaranteed the deep foundation pit safety. |
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| Keywords: | deep foundation pit supporting structure BP neural network deformation forecasting |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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