Processed dataset for Data-Driven Prediction of Drift Capacity for Reinforced Concrete Shear Walls Using Tree-Based Machine Learning Models

Name: Processed dataset for Data-Driven Prediction of Drift Capacity for Reinforced Concrete Shear Walls Using Tree-Based Machine Learning Models
Creator: Zenodo
Published: 2026-09-24T12:16:32+08:00

Zenodo2026-09-24 更新2026-10-01 收录

数据链接：

https://zenodo.org/doi/10.5281/zenodo.22938142 数据链接链接失效反馈

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资源简介：

This record contains the processed dataset of 208 cyclically tested reinforced concrete shear wall specimens (106 rectangular and 102 I-shaped) used in the associated manuscript. The workbook provides source identifiers, retained specimen properties, model input variables, observed drift capacity, and the fixed development (166 specimens) and independent hold-out test (42 specimens) assignment. The dataset was derived from the ACI 445B Shear Wall Database, Version 1.0 (https://doi.org/10.7277/EESD-J453). The accompanying README describes the workbook, units, provenance and limitations. Analysis code is not included.

提供机构：

Zenodo

创建时间：

2026-09-24