院报 ›› 2019, Vol. 36 ›› Issue (7): 112-117.DOI: 10.11988/ckyyb.20180789

• 岩土工程 • 上一篇    下一篇

基于AHP-FUZZY法的水下爆破影响区域危险性评价

贾钦基1, 吴立1, 彭亚雄2, 朱彬彬1, 李春军3   

  1. 1.中国地质大学武汉 工程学院,武汉 430074;
    2.湖南科技大学 岩土工程稳定控制与健康监测湖南省重点实验室,湖南 湘潭 411201;
    3.长江重庆航道工程局,重庆 400011
  • 收稿日期:2018-07-26 出版日期:2019-07-01 发布日期:2019-07-18
  • 通讯作者: 吴 立(1963-),男,湖南株洲人,教授,博士,博士生导师,从事地下及爆破工程技术研究。E-mail:lwu@cug.edu.cn
  • 作者简介:贾钦基(1996-),男,湖南益阳人,硕士研究生,从事隧道及爆破工程技术研究。E-mail:13387374488@163.com
  • 基金资助:
    国家自然科学基金项目(41672260)

Regional Risk Assessment of Underwater Blasting Using AHP-FUZZY Method

JIA Qin-ji 1, WU Li1, PENG Ya-xiong2, ZHU Bin-bin1, LI Chun-jun3   

  1. 1.Faculty of Engineering, China University of Geosciences, Wuhan 430074, China;
    2.Hunan ProvincialKey Laboratory of Stability Control and Health Monitoring for Geotechnical Engineering, Hunan Universityof Science and Technology, Xiangtan 411201, China;
    3.Changjiang Chongqing Waterway EngineeringBureau, Chongqing 400011, China
  • Received:2018-07-26 Online:2019-07-01 Published:2019-07-18

摘要: 水下爆破工程存在毗邻环境复杂多样、爆炸过程难以观测等问题,常导致水下爆破影响区域危险性难以预先定量评估而造成房屋或道路开裂、滑坡等工程事故。依托长江上游九龙坡—朝天门河段水下炸礁工程,采用层次分析法(AHP)和模糊数学(FUZZY)相结合的综合评价方法对水下爆破影响区域危险等级进行评价。参考已有工程实例及研究成果,以水下爆破施工中爆炸、传播和振动响应3个阶段为基础,将水下爆破影响区域危险性等级评价指标归纳为地质特征、爆破参数、传播特性和安全控制4个指标,构建了完整的评价模型。最后,将实际工程的模型应用结果与现场监测数据进行对比分析,结果显示该方法实际操作性较强,对水下爆破影响区域危险性的评价效果较好。研究成果为工程防护施工提供了重要参考。

关键词: 水下爆破, 危险性评价, 层次分析法, 模糊数学, 评价指标

Abstract: Due to complicated and diverse circumstances and the difficulty in observing blasting process, underwater blasting project is prone to cause landslides and cracks in buildings and roads as quantitative assessment of regional risk in advance is thus challenging. With the underwater reef demolishing project in the Jiulongpo-Chaotianmen segment of upstream Changjiang River as a research background, we assessed the risk levels of blasting-affected regions using a comprehensive method integrating analytic hierarchy process (AHP) and fuzzy mathematics. In line with the three stages of blasting, namely, blasting stage, propagation stage, and vibration resonance stage, we established an assessment model with geological features, blasting parameters, propagation features, and safety control as four assessment indicators. Comparison between the results of model application and on-site monitoring verified that the assessment method is strongly practical with good effect in the assessment of risk level of underwater blasting.

Key words: underwater blasting, risk assessment, analytic hierarchy process, fuzzy mathematics, evaluation indexes

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