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基于数据相关性的基坑工程风险预警分析

吴威皋, 黄忠辉, 金磊铭, 朱雁飞, 王建华

吴威皋, 黄忠辉, 金磊铭, 朱雁飞, 王建华. 基于数据相关性的基坑工程风险预警分析[J]. 岩土工程学报, 2012, 34(suppl): 233-237.
引用本文: 吴威皋, 黄忠辉, 金磊铭, 朱雁飞, 王建华. 基于数据相关性的基坑工程风险预警分析[J]. 岩土工程学报, 2012, 34(suppl): 233-237.
WU Wei-gao, HUANG Zhong-hui, JIN Lei-ming, ZHU Yan-fei, WANG Jian-hua. Risk analysis and warning in excavation engineering based on data dependency[J]. Chinese Journal of Geotechnical Engineering, 2012, 34(suppl): 233-237.
Citation: WU Wei-gao, HUANG Zhong-hui, JIN Lei-ming, ZHU Yan-fei, WANG Jian-hua. Risk analysis and warning in excavation engineering based on data dependency[J]. Chinese Journal of Geotechnical Engineering, 2012, 34(suppl): 233-237.

基于数据相关性的基坑工程风险预警分析  English Version

详细信息
    作者简介:

    吴威皋(1987– ),男,上海人,博士研究生,主要从事岩土工程数值模拟与施工动态控制的研究工作。

  • 中图分类号: TU473

Risk analysis and warning in excavation engineering based on data dependency

  • 摘要: 大型复杂地下结构基坑工程施工的监测和风险预警通常由若干个子对象组成。传统的风险预警方法根据采集的监测数据结果与规范规定的限制进行比较,只能描述结构的局部特征且易受外界条件干扰。为解决上述问题,提出了需要考虑多数据源相关性,结合现场经验以及风险分级标准,构建全新的基坑工程风险预警分析系统,对基坑安全状态进行更加全面的评估。该系统借助AutoCAD软件进行二次开发,结合基坑场地几何情况,基坑各部件施工工况,力学原理以及监测数据进行静态、动态的多参数相关性风险评估。最后结合一个工程实例展示了该系统能够判定出传统预警方法所不能识别的基坑风险,具有良好的实用价值。
    Abstract: The monitoring and risk warning system of complex underground excavation is composed of several sub-objects. Traditionally, the control values of monitoring data are determined by construction norms. However, a single control value can only reflect the local properties and safety state of excavation and be easily affected by external interference. Based on data fusion, considering field experience and expert hierarchy system, a brand-new risk warning system in excavation engineering is introduced to give a comprehensive assessment of construction safety. This system is a secondary development product of AutoCAD integrating the excavation site conditions, construction steps of each part, principles of mechanics and monitoring data to conduct static, dynamic evaluation and multi-source data fusion assessment of the current and potential risks. Moreover, a project case is presented to demonstrate that this system can detect more potential risk than the traditional information construction system and enjoy high applicable value.
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出版历程
  • 收稿日期:  2012-11-12
  • 发布日期:  2012-11-12

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