Dataset for State-of-the-Art Review on Probabilistic Seismic Risk Assessment of Reinforced Concrete Buildings

This dataset supports a state-of-the-art review on probabilistic seismic risk assessment (PSRA) and fragility analysis of reinforced concrete (RC) buildings. A total of 300 research articles were initially identified from multiple databases, including Google Scholar (n = 206), ScienceDirect (n = 50), MDPI (n = 31), and Springer Nature Link (n = 13). A structured screening process was applied, including title screening, abstract screening, and full-text assessment. After title screening, 255 studies remained, followed by 230 studies after abstract screening. Subsequently, 175 articles were retained for detailed evaluation. From these, 130 studies were selected as the final dataset based on predefined inclusion criteria. The dataset includes structured information such as bibliographic details, screening decisions, structural system characteristics, seismic analysis methods, hazard modeling approaches, performance evaluation metrics, and the use of fragility curves or probabilistic risk assessment techniques. This dataset provides a comprehensive and organized basis for analyzing trends, methodologies, and research gaps in seismic risk assessment of reinforced concrete buildings.本数据集可为钢筋混凝土（RC）建筑的概率地震风险评估（PSRA）及易损性分析领域的前沿综述提供支撑。 研究团队最初从多个数据库中共检索到300篇学术文献，其中谷歌学术（Google Scholar，n=206）、ScienceDirect（n=50）、MDPI（n=31）及Springer Nature Link（n=13）。随后采用结构化筛选流程开展处理，依次进行标题筛选、摘要筛选与全文评估。 经标题筛选后剩余255篇文献，摘要筛选后保留230篇，继而选取175篇文章进行详细评审；最终依据预设纳入标准，从中筛选出130项研究作为本数据集的最终收录内容。 本数据集涵盖结构化信息，包括文献著录详情、筛选决策记录、结构体系特征、地震分析方法、灾害建模方法、性能评估指标，以及易损性曲线或概率风险评估技术的应用情况等。 本数据集可为钢筋混凝土建筑地震风险评估领域的研究趋势、方法体系及研究空白分析，提供全面且系统化的支撑依据。