Next Generation Liquefaction (NGL) Partner Dataset

The Next-Generation Liquefaction (NGL) project was launched to (1) substantially improve the quality, transparency, and accessibility of case history data related to ground failure; (2) provide a coordinated framework for supporting studies to augment case history data for conditions important for applications but poorly represented in empirical databases; and (3) provide an open, collaborative process for model development in which developer teams have access to common resources and share ideas and results during model development, so as to reduce the potential for mistakes and to mutually benefit from best practices. This approach is motivated in part by the success of the Next-Generation of Attenuation (NGA) models for ground motion prediction, which has followed this approach and has had substantial global buy-in and broad application. This project documents how users can access the NGL relational database (doi.org/10.21222/C2J040) using DesignSafe. The database is mirrored to DesignSafe, and users can query the database using Python scripts in Jupyter notebooks. These notebooks have been published in separate projects within DesignSafe to enable version control, and each of those projects is linked to this one through the "Associated Projects" feature. We anticipate that users will utilize these published notebooks as a starting point for developing their own notebooks for accessing the data.

下一代液化（Next-Generation Liquefaction, NGL）项目启动的初衷在于：其一，大幅提升与地面破坏相关的典型案例历史数据的质量、透明度与可获取性；其二，构建协同框架，支撑针对工程应用中至关重要但在经验数据库中代表性严重不足的工况补充案例历史数据的相关研究；其三，搭建开放协作的模型开发流程，使开发团队可在模型研发阶段共享通用资源、交流思路与成果，以此降低失误风险，并通过最佳实践实现互利共赢。该研发思路的提出，部分借鉴了地震动预测用下一代衰减（Next-Generation of Attenuation, NGA）模型的成功经验——此类模型即采用了同类研发路径，现已获得全球广泛认可并得到大规模应用。本项目详细说明了用户如何通过DesignSafe平台访问NGL关系型数据库（doi.org/10.21222/C2J040）。该数据库已镜像部署至DesignSafe平台，用户可通过Jupyter笔记本（Jupyter notebooks）中的Python脚本对数据库进行查询。上述Jupyter笔记本已在DesignSafe平台的独立项目中发布，以实现版本控制；所有相关项目均通过关联项目（"Associated Projects"）功能与本项目建立关联。我们期望用户能够以这些已发布的笔记本为基础，开发适配自身数据访问需求的自定义笔记本。