Global Dataset of UHPC Mix Designs with Supplementary Cementitious Materials, Nano Additives, and Sustainable Fillers

Published: 23 September 2025| Version 2 | DOI: 10.17632/czb7ww5pkz.2
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Description

This dataset comprises 2,188 ultra-high-performance concrete (UHPC) mix designs compiled from 168 publications representing 27 countries, with a strong focus on sustainable materials. The dataset features mixtures incorporating a wide range of supplementary cementitious materials (SCMs) along with nano particles and sustainable fillers (e.g., steel slag, recycled brick powder, silica flour, and natural pozzolana). The data are organized into five major categories: (i) Detailed mix constituents, including types and quantities of all materials; (ii) Curing method includes temperature, humidity, pressure and duration(for autoclave curing); (iii) Workability includes slump and slump flow, (iv) Mechanical properties such as compressive strength at multiple ages, tensile and flexural parameters, and elastic modulus, and (v) durability including shrinkage, rapid chloride permeability, freeze-thaw resistance, porosity, and surface resistivity. In addition, the dataset also documents the testing standards adopted in each study for measuring these properties and specifies specimen dimensions used in mechanical testing. This structured and diverse compilation offers a foundational resource for data-driven research and model development, supporting both forward prediction and inverse design of high-performance, eco-efficient UHPC mixtures.

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Institutions

  • University of New South Wales Canberra at ADFA

Categories

Civil Engineering, Structural Engineering, Sustainability, Machine Learning, Cementitious Material

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