Reusing precast concrete for a circular economy

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Published February 25, 2025 | Version v1
Dataset Open

Non-destructive Estimation of Concrete Compressive Strength: Databases

Authors/Creators

  • 1. ROR icon Eindhoven University of Technology
  • 2. ROR icon Netherlands Organisation for Applied Scientific Research

Description

Repository Description

This repository presents an extensive collection of published studies correlating non-destructive test (NDT) results with concrete compressive strength. The included NDT methods are:

  • Ultrasonic Pulse Velocity (UPV)
  • Rebound Hammer (RH)
  • SonReb (combined UPV and RH)

The dataset comprises 16,531 test results from 115 published studies, distributed as follows:

  • UPV: 6,103 tests from 90 studies
  • RH: 10,428 tests from 87 studies
  • SonReb: 3,299 tests from 53 studies

In each database, the final response variable is the concrete compressive strength, normalized to a 150×300 mm reference cylinder.

Database Structure

Each database contains approximately equal proportions of numerical and categorical variables:

  • UPV: 20 input variables
  • RH: 18 input variables
  • SonReb: 25 input variables

These variables cover material age, location, composition, NDT parameters, and testing procedures. Of the total dataset, 1,328 UPV tests, 3,042 RH tests, and 544 SonReb tests were conducted on in-situ structures, while the remainder were performed on laboratory-cast specimens. The datasets span material ages from the 1930s to freshly cast specimens, excluding tests on concrete less than one day old. Numerical data from visualized results in publications 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.

Files

Complete RH Database.csv

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Additional details

Funding

European Commission
ReCreate - Reusing precast concrete for a circular economy 958200

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