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Special Issue "Experimental Tests and Numerical Analysis of Construction Materials"

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Dear Colleagues,

Construction materials are crucial to safely maintaining structures and buildings. In recent years, significant advances in the field of construction materials have been made. We invite you to contribute high-quality research or review papers to this Special Issue of Materials on ‘Experimental Tests and Numerical Analysis on Construction Materials’, with an emphasis on innovative, novel and emerging materials, as well as traditional construction materials. We welcome the submission of papers that attend to areas including, but not limited to, soil, geomaterials, cements, concretes, steels, grouting materials, and novel and emerging construction materials. Papers will be accepted for this Special Issue once they have undergone a rigorous peer-review procedure.

Prof. Dr. Daehyeon Kim
Guest Editor

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Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Keywords

experimental research
load test
numerical analysis
construction materials
concretes
cements
geomaterials
grouting materials
steels
rock and rock-like materials
civil structures
infrastructures
foundation engineering

Published Papers (2 papers)

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Research

Open AccessArticle

Prediction of Dynamic Behavior of Large-Scale Ground Using 1 g Shaking Table Test and Numerical Analysis

Yong Jin

Sugeun Jeong

and

Daehyeon Kim

Materials 2023, 16(18), 6093; https://doi.org/10.3390/ma16186093 - 06 Sep 2023

Viewed by 234

Abstract

Earthquake disasters can threaten human life and cause property damage. The dynamic analysis of the ground performance of the seismic field is essential. In this study, numerical analysis is used to predict the dynamic behavior and response analysis of large-scale models under different seismic waves. Firstly, the accuracy of numerical analysis is verified by a 1 g shaking table test under the same size. Then, according to the similarity law, numerical analysis is used to obtain the dynamic behavior of the model at different scales. The results show that the 1 g shaking table test results are in good agreement with the numerical analysis results and that the numerical analysis can predict the dynamic behavior of the scale model. The 1 g shaking table test provides a valuable method for evaluating the numerical analysis, which captures the complex behavior and resolves uncertainties, ultimately leading to more robust and reliable analyses. Full article

(This article belongs to the Special Issue Experimental Tests and Numerical Analysis of Construction Materials)

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Open AccessEditor’s ChoiceArticle

Two-Dimensional Microstructure-Based Model for Evaluating the Permeability Coefficient of Heterogeneous Construction Materials

and

Materials 2023, 16(17), 5892; https://doi.org/10.3390/ma16175892 - 28 Aug 2023

Viewed by 333

Abstract

The permeability coefficient of construction materials plays a crucial role in engineering quality and durability. In this study, a microstructure model based on real aggregate shape and digital image technology is proposed to predict the permeability coefficient of concrete. A two-dimensional, three-component finite element model of cement concrete was established considering the interfacial transition zone (ITZ) between aggregate and mortar. The permeability coefficient prediction model was developed by the finite element method. The accuracy of the model was verified by experimental data, and the influence of the water−cement ratio on the permeability coefficient of concrete was analyzed. The results show that this method has good prediction accuracy with a relative error of 1.73%. According to the verified model, the influences of aggregate content, aggregate characteristics, aggregate location, ITZ thickness, and other factors on the permeability of concrete were explored. The higher the water−cement ratio, the higher the permeability coefficient. With the increase in aggregate content, the permeability coefficient decreases. Aggregate permeability has a significant influence on the effective permeability coefficient of concrete within a certain range. The greater the roundness of aggregate, the greater the permeability of concrete. On the contrary, the larger aggregate size causes lower permeability. The permeability coefficient of concrete with segregation is lower than that with uniform distribution. At the same time, the permeability increases with the increase of ITZ thickness. Full article

(This article belongs to the Special Issue Experimental Tests and Numerical Analysis of Construction Materials)

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Special Issue "Experimental Tests and Numerical Analysis of Construction Materials"

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