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Multi-Scale Mechanics of Cementitious/Porous and Composite-Based Materials

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Advanced Materials Characterization".

Deadline for manuscript submissions: closed (20 August 2022) | Viewed by 9580

Special Issue Editor


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Guest Editor
Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong, China
Interests: experimental and multi-scale mechanics; geomechanics; tribology and contact mechanics; material characterization, geo-energy and geo-resources; natural, polymer and biopolymer-based coatings; surfaces and interfaces; polymeric-based materials; cementitious materials; impact mechanics
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Special Issue Information

Dear Colleagues,

Cementitious/porous and composite materials are encountered in a large number of structural mechanics, industrial, aerospace, civil and biomedical engineering applications and their macroscopic behavior depends, heavily, on their nano-to-micro structures. This linkage of various scales has triggered a significant amount of the research and development of micromechanical-based methods in various engineering and science disciplines. Many recent research studies using nano/micro-indentation, grain-scale methods and discrete-based computational tools have attempted to provide insights into the complex behavior of cementitious/porous and composite materials and there has been a general consensus in the international literature that the enhancement of constitutive models that can predict the behavior of these materials, necessitating further advancements in micro-mechanical based analyses, both experimentally and analytically.

This Special Issue aims at reporting recent advancements in nano-to-micro-mechanical-based analysis and characterization of cementitious, porous and composite materials, with major applications in structural mechanics and engineering, materials science and engineering, surface and interface mechanics, aerospace engineering, biomedical engineering, industrial engineering, civil engineering and astronautics. Emphasis is placed on new contributions and state-of-the-art works, using advanced experimental methods such as nano/micro-indentation, multi-scale surface and interface analysis, computational and analytically based methods in the characterization and modeling of cementitious/porous and composite materials. Works in the form of full-length papers with original new contributions, technical notes/short communications with reporting on preliminary but promising results, and state-of-the-art studies in the form of review papers are all welcome.

Major areas and topics of interest are, but not limited to, experimental and analytical studies on cementitious, porous and composite materials based on: (i) nano- and micro-indentation (ii) microstructural characterization, both at physical (micro-to-meso-scale), chemical and molecular levels (iii) interface mechanics (iv) contact mechanics experimentation and modeling (v) discrete-based analytical and computational mechanics (v) creep and relaxation behavior (vi) strain rate and temperature influences (vii) statistical-based and probabilistic-based analyses as well as the implementation of image analysis and machine learning methods in materials science and engineering (viii) advances in asphalts and concrete-based materials (ix) advances in composite materials (x) advances in ceramics at multi-scales (xi) metals/alloys (xii) functional materials.

Dr. Kostas Senetakis
Guest Editor

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Keywords

  • Nano-Indentation
  • Micro-Indentation
  • Discrete Element Method
  • Discrete-Based Mechanics
  • Asphalts
  • Cement
  • Concrete
  • Ceramics
  • Composites
  • Poromechanics
  • Elasticity
  • Plasticity
  • Computation Mechanics
  • Tribology
  • Interface Mechanics
  • Contact Mechanics
  • Creep
  • Constitutive Modeling
  • Friction
  • Wear
  • Lubrication
  • Impact Mechanics
  • Biomedical Engineering
  • Aerospace Engineering
  • Industrial Engineering
  • Civil Engineering

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Published Papers (4 papers)

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Research

18 pages, 5105 KiB  
Article
2D Digital Reconstruction of Asphalt Concrete Microstructure for Numerical Modeling Purposes
by Marek Klimczak, Irena Jaworska and Marcin Tekieli
Materials 2022, 15(16), 5553; https://doi.org/10.3390/ma15165553 - 12 Aug 2022
Cited by 4 | Viewed by 1304
Abstract
In this paper, we deal with the issue of asphalt concrete microstructure recognition for further numerical analysis. An efficient reconstruction of the underlying microstructure makes the composite analysis more reliable. We propose for this purpose a methodology based on the image processing and [...] Read more.
In this paper, we deal with the issue of asphalt concrete microstructure recognition for further numerical analysis. An efficient reconstruction of the underlying microstructure makes the composite analysis more reliable. We propose for this purpose a methodology based on the image processing and focus on a two-dimensional case (it can be easily used as a part of the 3D geometry reconstruction, however). Initially obtained geometry of the inclusions is further simplified to reduce the cost of the finite element mesh generation. Three straightforward geometry simplification algorithms are used to perform this process in a controlled way. Subsequently, we present the solutions of two problems, i.e., heat flow and elasticity (plane strain), in order to illustrate the effectiveness of the whole elaborated methodology. The numerical results were obtained using the finite element method. Consequently, an error analysis is demonstrated in order to refer the overkill mesh solutions to the ones presented in this study. The main finding of this paper is the efficient methodology dedicated to a digital reconstruction of the asphalt concrete microstructure by the image processing. It can be also extended to other materials exhibiting similar microstructure. Full article
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19 pages, 10364 KiB  
Article
Fracture and Damage Evolution of Multiple-Fractured Rock-like Material Subjected to Compression
by Taoying Liu, Mengyuan Cui, Qing Li, Shan Yang, Zhanfu Yu, Yeshan Sheng, Ping Cao and Keping Zhou
Materials 2022, 15(12), 4326; https://doi.org/10.3390/ma15124326 - 18 Jun 2022
Cited by 5 | Viewed by 1983
Abstract
Multiple compression tests on rock-like samples of pre-existing cracks with different geometries were conducted to investigate the strength properties and crack propagation behavior considering multi-crack interactions. The progressive failure process of the specimens was segmented into four categories and seven coalescence modes were [...] Read more.
Multiple compression tests on rock-like samples of pre-existing cracks with different geometries were conducted to investigate the strength properties and crack propagation behavior considering multi-crack interactions. The progressive failure process of the specimens was segmented into four categories and seven coalescence modes were identified due to different crack propagation mechanisms. Ultimately, a mechanical model of the multi-crack rock mass was proposed to investigate the gradual fracture and damage evolution traits of the multi-crack rock on the basis of exploring the law of the compression-shear wing crack initiation and propagation. A comparison between theory and experimental results indicated that the peak strength of the specimens with multiple fractures decreased initially and subsequently increased with the increase in the fissure inclination angles; the peak strength of specimens decreased with the increase in the density of fissure distribution. Full article
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17 pages, 3025 KiB  
Article
Application of Nanoindentation in the Characterization of a Porous Material with a Clastic Texture
by Sathwik S. Kasyap and Kostas Senetakis
Materials 2021, 14(16), 4579; https://doi.org/10.3390/ma14164579 - 15 Aug 2021
Cited by 13 | Viewed by 3259
Abstract
In materials science and engineering, a significant amount of research has been carried out using indentation techniques in order to characterize the mechanical properties and microstructure of a broad range of natural and engineered materials. However, there are many unresearched or partly researched [...] Read more.
In materials science and engineering, a significant amount of research has been carried out using indentation techniques in order to characterize the mechanical properties and microstructure of a broad range of natural and engineered materials. However, there are many unresearched or partly researched areas, such as, for example, the investigation of the shape of the indentation load–displacement curve, the associated mechanism in porous materials with clastic texture, and the influence of the texture on the constitutive behavior of the materials. In the present study, nanoindentation is employed in the analysis of the mechanical behavior of a benchmark material composed of plaster of Paris, which represents a brand of highly porous-clastic materials with a complex structure; such materials may find many applications in medicine, production industry, and energy sectors. The focus of the study is directed at the examination of the influence of the porous structure on the load–displacement response in loading and unloading phases based on nanoindentation experiments, as well as the variation with repeating the indentation in already indented locations. Events such as pop-in in the loading phase and bowing out and elbowing in the unloading phase of a given nanoindentation test are studied. Modulus, hardness, and the elastic stiffness values were additionally examined. The repeated indentation tests provided validations of various mechanisms in the loading and unloading phases of the indentation tests. The results from this study provide some fundamental insights into the interpretation of the nanoindentation behavior and the viscoelastic nature of porous-clastic materials. Some insights on the influence of indentation spacing to depth ratio were also obtained, providing scope for further studies. Full article
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20 pages, 3938 KiB  
Article
Application of Principal Component Analysis Approach to Predict Shear Strength of Reinforced Concrete Beams with Stirrups
by Seungbum Koo, Dongik Shin and Changhyuk Kim
Materials 2021, 14(13), 3471; https://doi.org/10.3390/ma14133471 - 22 Jun 2021
Cited by 19 | Viewed by 2057
Abstract
The reinforced concrete (RC) member’s shear strength estimation has been experimentally studied in most cases due to its nonlinear behavior. Many empirical equations have been derived from the experimental data; however, even those adopted in the construction codes do not thoroughly and accurately [...] Read more.
The reinforced concrete (RC) member’s shear strength estimation has been experimentally studied in most cases due to its nonlinear behavior. Many empirical equations have been derived from the experimental data; however, even those adopted in the construction codes do not thoroughly and accurately describe their shear behavior. Theoretically explained equations, on the other hand, are aligned with the experiment; however, they are complicated to use in practice. As shear behavior research is data-driven, the machine learning technique is applicable. Herein, an artificial neural network (ANN) algorithm is trained with 776 experiment results collected from available publications. The raw data is preprocessed by principal component analysis (PCA) before the application of the ANN technique. The predictions of the trained algorithm using ANN with PCA are compared to those of formulae adopted in a few existing building codes. Finally, a parametric study is conducted, and the significance of each variable to the strength of RC members is analyzed. Full article
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