five

Defining Appropriate Fragility Functions for Oregon Lifelines

收藏
DataCite Commons2025-06-02 更新2025-04-16 收录
下载链接:
https://www.designsafe-ci.org/data/browser/public/designsafe.storage.published/PRJ-3199
下载链接
链接失效反馈
官方服务:
资源简介:
This project contains the research report on fragility function database developed for Oregon lifelines (transportation systems, electric power systems, water and wastewater systems) for hazards specific to Oregon (earthquake, tsunami, landslide, liquefaction, winter storm, etc.). The research study was solicited by the Cascadia Lifelines Program (CLiP, https://cascadia.oregonstate.edu/), which is a research cooperative of Oregon- based lifeline providers. Objectives of the study included the following: (i) identify available and missing fragility functions suitable for Oregon lifelines, (ii) evaluate the quality of the collected fragility functions, and (iii) provide recommendations where refinement is needed for future fragility function development studies. Based on an extensive literature review and expert solicitation, a fragility function database was structured using a hierarchy of infrastructure systems (electric power systems, water and wastewater systems, and transportation systems), hazards (earthquake, tsunami, etc.), and fragility function attributes (fragility development method, probabilistic distribution, damage states, and other relevant metadata like infrastructure description, regional applicability, and source reference). The resulting database includes fragility functions from publicly available sources, such as HAZUS (FEMA 2010), INCORE (van de Lindt, 2019), SYNER-G (SYNER-G, 2013), the Portland Bureau of Environmental Science (BES, 2018), and other published literature. The database and related web-based user interface may prove useful to Lifeline Engineering researchers and utility managers to assess risk and make informed decision about their facilities.
提供机构:
Designsafe-CI
创建时间:
2022-04-13
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作