刘强 讲师(高校)
  • 入职时间:2023-10-09
  • 学历:博士研究生毕业
  • 学位:工学博士学位
  • 性别:
  • 在职信息:在岗
  • 主要任职:助理教授
  • 毕业院校:哈尔滨工业大学
  • 所在单位:城市轨道交通学院(智慧城市与交通学院)
  • 学科:防灾减灾工程及防护工程
    地质工程
论文成果
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  • 影响因子:8.1
  • 发表刊物:Reliability Engineering & System Safety
  • 关键字:Landslide vulnerability; Probabilistic intensity; Transportation safety; Uncertainty quantification
  • 摘要:Considering the uncertainty in vulnerability curves, this study employs a probabilistic technique to improve the current landslide vulnerability on roads. The uncertainty in current vulnerability was first elaborated, and slope failure and the damage caused to roads were investigated. To minimize uncertainty, subsequently, the probabilistic landslide intensity was proposed, and hired to calibrate the empirical landslide intensity. Finally, an improved vulnerability curve was developed and compared with the empirical vulnerability, in terms of the fluctuation band and residual value. Results show that the uncertainty of the improved vulnerability is significantly reduced compared with the empirical vulnerability model. In detail, the uncertainty reduction in landslide vulnerability is reflected not only in the decrease of the residual range, from 0.6 to 0.3, but in the narrowing of the fluctuation band. It provides a route for enhancing the accuracy of landslide vulnerability from a probabilistic view.
  • 第一作者:Qiang Liu et al
  • 论文类型:SCI
  • 卷号:244
  • ISSN号:109918
  • 是否译文:
  • 发表时间:2024-04-06
  • 收录刊物:SCI

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