Damage Investigation

The dataset represents one of the most complete datasets and in-depth investigations publicly available of an instrumented building subjected to a design-level earthquake. This dataset contains detailed damage data from a ductile reinforced concrete building with prestressed precast hollow-core floors. The building investigated was located in Wellington, New Zealand. The damage investigation was conducted in 2019. Such detailed damage data makes this dataset a valuable resource to researchers investigating different aspects and parameters related to the seismic performance of ductile reinforced concrete moment-framed structures. Specifically, the dataset could be used to validate non-linear dynamic numerical models of reinforced concrete moment frames, improve assessment criteria for buildings within this archetype, correlate structural demands derived from both instruments and numerical models to observed damage levels, artificial intelligence training database for concrete damage related algorithms, and further data interrogation of laser scans.本数据集是目前公开可获取的、针对经受设计基准地震的仪器化建筑开展的最完整数据集之一，亦是相关深度调研的核心成果之一。本数据集包含一座延性钢筋混凝土(ductile reinforced concrete)预应力预制空心板楼盖建筑的详细损伤数据。该调研建筑位于新西兰惠灵顿，损伤调研工作于2019年完成。 这类详实的损伤数据使得本数据集成为研究延性钢筋混凝土弯矩框架结构(moment-framed structures)抗震性能相关多维度与参数的科研人员的宝贵资源。具体而言，本数据集可用于以下场景：验证钢筋混凝土弯矩框架的非线性动力数值模型、优化该类建筑原型的抗震评估准则、将仪器监测与数值模型得到的结构需求与观测到的损伤程度相关联、作为混凝土损伤相关算法的人工智能训练数据库，以及开展激光扫描数据的进一步解析。

搜集汇总

背景与挑战

背景概述

该数据集是2016年新西兰凯库拉地震后，对一栋位于惠灵顿的仪器化延性钢筋混凝土建筑进行的详细损伤调查，包含强震记录、裂缝图、3D激光扫描和高分辨率照片等数据。数据集具有高度完整性，可用于验证钢筋混凝土框架的非线性动态数值模型、改进建筑评估标准，并作为人工智能算法训练的资源。