Fundamental Period of Steel Braced RC Structures

This dataset comprises 17,280 unique building models, with each model characterized by different building parameters and corresponding eigenvalue modal analysis results for both Concentrically Braced Frames (CBFs) and Eccentrically Braced Frames (EBFs). Building parameters taken into consideration include, but are not limited to, the type and installation position of bracing, the number of storeys, the dimensions of bays in X and Y directions, the depth of the beam, the width of the column, the type of bracing, and the properties of the materials used.

Additionally, the data is presented in a tabular CSV format, which allows for easy access and manipulation of the data. Each row in the CSV file represents a unique building model, with the corresponding parameters and fundamental vibrational period specified in the columns. This format facilitates easy navigation, understanding, and application of the data.

In conclusion, this dataset serves as an extensive tool for future research in structural engineering, particularly in the area of seismic behaviour. It paves the way for a more nuanced understanding of steel-braced reinforced concrete structures and aids in the development of sophisticated predictive models. Its significant potential for reuse in diverse contexts, from refining design methodologies to developing machine learning models, underlines its broader value to the academic and professional community.

本数据集包含17280个独特建筑模型，每个模型均配有不同的建筑参数，以及中心支撑框架（Concentrically Braced Frames, CBFs）与偏心支撑框架（Eccentrically Braced Frames, EBFs）对应的特征值模态分析结果。本次考量的建筑参数涵盖但不限于：支撑的类型与安装位置、楼层数、X与Y方向的跨度尺寸、梁高、柱宽、支撑类型以及所用材料的性能参数。
此外，本数据集采用表格型逗号分隔值（CSV）格式存储，便于数据的获取与处理。CSV文件的每一行对应一个独特建筑模型，各列则分别记录对应的参数与基本自振周期。该格式便于数据的查阅、理解与应用。
综上，本数据集可作为结构工程领域未来研究的重要工具，尤其在抗震性能研究方向。它有助于更细致地理解钢支撑钢筋混凝土结构，并助力复杂预测模型的开发。该数据集可在多种场景下复用，从优化设计方法到开发机器学习模型，其广泛的应用潜力凸显了其对学术与专业群体的重要价值。