Non-destructive Methods for Reinforcement Mapping in Concrete Members: Databases

Repository Description

This repository presents an extensive collection of published studies compiling non-destructive test (NDT) results on the identification of reinforcement properties embedded with reinforced concrete members. The NDT methods include the covermeter (CM) and ground-penetrating radar (GPR). The datasets collectively comprise 3,463 test results from 26 published studies. Covermeter results are organised into two separate datasets for rebar diameter measurements and concrete cover depth measurements. The datasets are distributed as follows:

CM (Rebar Diameter): 835 tests from 10 studies.

CM (Cover Depth): 1,844 tests from 15 studies.

GPR: 784 tests from 15 studies.

Across each NDT, the measured outputs include the estimated rebar spacing, number of bars, rebar diameter, concrete cover depth, and effective depth.

Database Structure

Each database contains a mixture of numerical and categorical variables, with the following characteristics:

CM (Rebar Diameter): 17 independent variables and 3 dependent variables.

CM (Cover Depth): 18 independent variables and 3 dependent variables.

GPR: 18 independent variables and 4 dependent variables.

These variables cover the material age, location, geometry, NDT parameters, and specimen design. Of the total datasets, 681 CM rebar diameter measurements, 1,284 CM cover depth measurements, and 574 GPR measurements were conducted on in-situ on in-situ structures, while the remainder were performed on laboratory-cast specimens. The datasets include numerical results from reported directly in the relevant publication, with no interpretation performed on radar or scan maps. Numerical data from visualized results (e.g., scatter plots) were extracted using an open-source computer vision-assisted software for high precision.

Project and Documentation

These databases were compiled as part of the EU-funded ReCreate project. The ReCreate project researches the process of reusing precast concrete elements through four real-life deconstruction and reuse pilots in Europe. The project aims to assess and improve the technical feasibility of a circular life cycle for structural precast elements across the entire value chain from disassembly, quality control, design for reuse and reconstruction.

A manuscript applying this dataset to empirical and machine learning models is under review and will be linked here upon publication.

For detailed descriptions of nomenclature, abbreviations, and assumptions, refer to the Database Guide PDF included in this repository.

仓库说明

本仓库收录了一系列已发表研究的成果，汇编了用于识别钢筋混凝土构件内埋置钢筋性能的无损检测（non-destructive test, NDT）结果。本次涉及的无损检测方法涵盖钢筋扫描仪（covermeter, CM）与探地雷达（ground-penetrating radar, GPR）。本数据集合集共包含来自26项已发表研究的3463条检测结果。其中，钢筋扫描仪检测结果被划分为两个独立数据集，分别用于钢筋直径测量与混凝土保护层厚度测量，具体分布如下：
- 钢筋扫描仪（钢筋直径）：来自10项研究的835条检测结果
- 钢筋扫描仪（保护层厚度）：来自15项研究的1844条检测结果
- 探地雷达：来自15项研究的784条检测结果

各类无损检测的实测输出项涵盖估算钢筋间距、钢筋根数、钢筋直径、混凝土保护层厚度以及有效截面高度。

数据库结构

每个数据库均混合包含数值型与分类型变量，具体特征如下：
- 钢筋扫描仪（钢筋直径）数据集：17个自变量与3个因变量
- 钢筋扫描仪（保护层厚度）数据集：18个自变量与3个因变量
- 探地雷达数据集：18个自变量与4个因变量

上述变量涵盖材料龄期、检测位置、构件几何参数、无损检测参数以及试件设计信息。在全部数据集中，681条钢筋扫描仪钢筋直径检测结果、1284条钢筋扫描仪保护层厚度检测结果以及574条探地雷达检测结果均取自原位现场结构，其余检测结果则来自实验室浇筑的试件。本数据集包含相关文献中直接报告的数值结果，未对雷达扫描图或检测扫描图进行任何人工解读。对于可视化结果（如散点图）中的数值数据，我们采用开源计算机视觉辅助软件进行高精度提取。

项目与文档说明

本数据集是欧盟资助的ReCreate项目的研究成果之一。ReCreate项目通过欧洲境内的4个实际拆除与再利用试点项目，研究预制混凝土构件的再利用流程。该项目旨在评估并优化结构预制构件全价值链的循环生命周期技术可行性，覆盖从拆除、质量控制、再利用设计到重建的全流程。

一篇将本数据集应用于实证模型与机器学习模型的学术论文正在审稿中，正式发表后将在此处附上链接。

如需了解术语命名、缩写词与假设前提的详细说明，请参阅本仓库中包含的Database Guide PDF文档。