In this paper, we present an open-source end-to-end Python tool for ground motion record selection and scaling for non-linear dynamic analysis of structures. The tool, named haselREC (HAzard-based SELection of RECords), has been formulated to be executed after performing a probabilistic seismic hazard and disaggregation analysis with OpenQuake, an open-source hazard and risk calculation engine developed by the Global Earthquake Model (GEM) Foundation. In addition to common intensity measures, such as peak ground acceleration and spectral acceleration, haselREC can perform ground motion record selection using average spectral acceleration, which can be advantageous when assessing multiple structures and to account for uncertainty on the conditioning response period. Moreover, haselREC can be directly linked to the web services of the European Strong Motion database for automatic download and scaling of records. The Python tool was designed to be modular, which facilitates its integration in third party scripts for automated record selection and scaling in hazard analysis studies. Here, we describe the main features of the software package in detail and provide an application example for the regional assessment of existing bridge structures.

在本文中，我们提出了一个开源的端到端 Python 工具，用于地面运动记录选择和缩放，用于结构的非线性动态分析。该工具名为 haselREC（基于危害的记录选择），已制定为在使用 OpenQuake 执行概率地震危害和分解分析后执行，OpenQuake 是由全球地震模型 (GEM) 开发的开源危害和风险计算引擎基础。除了常见的强度测量，如峰值地面加速度和谱加速度，haselREC 可以使用平均谱加速度执行地震动记录选择，这在评估多个结构时是有利的，并解释了调节响应周期的不确定性。而且，haselREC 可以直接链接到欧洲强运动数据库的网络服务，以自动下载和缩放记录。Python 工具设计为模块化的，这有助于将其集成到第三方脚本中，以便在危害分析研究中进行自动记录选择和缩放。在这里，我们详细描述了该软件包的主要功能，并为现有桥梁结构的区域评估提供了一个应用示例。