Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/23181
Title: Experimental Characterization of Steel and Concrete as Construction Materials: State-of-the-Art Methods and Advances Beyond Standardized Testing
Authors: Topalović, Marko
Milovanović, Vladimir
Dunić, Vladimir
Zivkovic, Miroslav
Vulovic, Snezana
Journal: Materials
Issue Date: 2026
Abstract: Construction materials like steel and concrete have been used for thousands of years; however, their industrial-scale production began relatively recently in the 19th century. These materials are still being improved as the drive to build taller buildings, longer bridges, larger dams, and similar engineering marvels keeps pushing boundaries and re-quirements to previously unimaginable values. Yet, testing and characterization of con-struction materials that make all that progress possible are overshadowed in scientific lit-erature by more trendy materials such as graphene, composites, nanomaterials, smart ma-terials, and biomaterials. The objective of this review was to identify, collect, and system-atically analyze recent papers in which the researchers performed experimental testing on construction materials to document how state-of-the-art experimental practice extends be-yond what standardized protocols prescribe. This paper covers Uniaxial Tensile Testing (UT), Compact Tension C(T), Uniaxial Compression (UC), and Single Edge Notched Bending SEN(B), as they are the most commonly used and best-suited techniques for con-struction material analysis. State-of-the-art papers featuring these techniques were sys-tematically gathered using AI-assisted literature discovery tools, and their contributions beyond ISO and ASTM standards were identified and summarized. Using this review, material scientists and engineers can quickly discover the most influential and relevant papers with the actual experimental data and can apply the testing procedures described in these papers in their laboratories so they can compare their results with the previously published measurements and make an engineering decision based on appropriate com-parisons.
URI: https://scidar.kg.ac.rs/handle/123456789/23181
Type: article
DOI: https://doi.org/10.3390/ma19122498
ISSN: 1996-1944
Appears in Collections:Institute for Information Technologies, Kragujevac

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