An improved 3D microstructure reconstruction approach for porous media

Li, Kai-Qi; Liu, Yong; Yin, Zhen‐Yu

doi:10.1016/j.actamat.2022.118472

Cited by 34 publications

(9 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Minkowski functionals are morphological descriptors that describe the geometrical properties of objects in higher dimensions. , They are often used to quantify the properties of complex structures, such as porous materials. Each phase in d -dimensional space can be characterized using d + 1 independent parameters.…”

Section: Evaluation Of the Performance Of Reconstruction Algorithmsmentioning

confidence: 99%

Minireview on Porous Media and Microstructure Reconstruction Using Machine Learning Techniques: Recent Advances and Outlook

Mirzaee,

Kamrava,

Tahmasebi

2023

Energy Fuels

View full text Add to dashboard Cite

To accurately model and analyze various phenomena in porous media, it is necessary to have three-dimensional (3D) microstructure samples that genuinely represent the key characteristics of the material being studied. Although modern imaging methods such as X-ray computer tomography have enabled the extraction of 3D images of pore space, obtaining 3D microstructure images remains a costly and time-consuming process. Therefore, it is becoming more crucial to use image reconstruction techniques to create new realizations of microstructures. Machine learning (ML) techniques have been increasingly used to generate porous microstructures in recent years. This article reviews some of the most promising studies that have introduced such ML-based reconstruction techniques. We categorize the existing approaches into different types while highlighting their key characteristics, advantages, and disadvantages. Furthermore, this paper provides information on various methods for evaluating the performance of the reconstruction algorithms. We also discuss the current research status of ML-assisted porous media reconstruction in energy-related applications, namely, energy storage systems and digital rock reconstruction. Despite their success and rapid progress over the past decade, ML-based approaches, particularly generative deep neural networks, still suffer from issues that impede their further applications. The paper elaborates on some of the most important limitations and current challenges of these approaches while indicating potential research areas for future studies.

show abstract

Section: Evaluation Of the Performance Of Reconstruction Algorithmsmentioning

confidence: 99%

Minireview on Porous Media and Microstructure Reconstruction Using Machine Learning Techniques: Recent Advances and Outlook

Mirzaee,

Kamrava,

Tahmasebi

2023

Energy Fuels

View full text Add to dashboard Cite

show abstract

“…Microstructure studies provide complementary knowledge about the mechanical properties of the tested materials [73][74][75]. The microstructure of the 100% metakaolin-based binder (Figure 6a) is characterized by a compact and amorphous structure.…”

Section: Mechanical Properties and Structure Observationmentioning

confidence: 99%

“…Microstructure studies provide complementary knowledge about the mechanical properties of the tested materials [73][74][75].…”

Section: Mechanical Properties and Structure Observationmentioning

confidence: 99%

Application of Industrial Waste Materials by Alkaline Activation for Use as Geopolymer Binders

Setlak,

Mikuła,

Łach

2023

Materials

View full text Add to dashboard Cite

The purpose of this study is to synthesize geopolymer binders as an environmentally friendly alternative to conventional cement using available local raw materials. Waste materials such as chalcedonite (Ch), amphibolite (A), fly ash from lignite combustion (PB), and diatomite dust (D) calcined at 900 °C were used to produce geopolymer binders. Metakaolin (M) was used as an additional modifier for binders based on waste materials. The base materials were subjected to fluorescence X-ray fluorescence (XRF) analysis and X-ray diffractometry (XRD) to determine chemical and phase composition. A laser particle size analysis was also performed. The various mixtures of raw materials were activated with a 10 M solution of NaOH and sodium water glass and then annealed for 24 h at 60 °C. The produced geopolymer binders were conditioned for 28 days under laboratory conditions and then subjected to microstructural analysis (SEM) and flexural and compressive strength tests. The best compressive strength results were obtained by the Ch + PB samples—more than 57 MPa, while the lowest results were obtained by the Ch + D+A + M samples—more than 20 MPa. On the other hand, as a result of the flexural strength tests, the highest flexural results were obtained by D + A + M + PB binders—more than 12 MPa, and the lowest values were obtained by binders based on Ch + D+A + M—about 4.8 MPa.

show abstract

“…Sci. 2024, 14,1974 2 of 14 on the mechanical properties and other aspects of recycled concrete [18][19][20][21][22][23][24][25].The production of recycled concrete using waste concrete coarse aggregate as variables of substitution rate and water cement ratio shows that the higher the substitution rate, the more unfavorable the mechanical and working properties of recycled concrete. The higher the strength of the original waste concrete, the better the mechanical properties of recycled concrete.…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Preparation and Characteristics of Concrete Modified by Construction Waste

Zhang,

Zhu,

Zhou

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

With the advancement of urbanization construction, the proportion of construction waste to the total urban waste continues to increase, especially waste concrete. The treatment and reuse of waste concrete is a major trend that poses enormous pressure on environmental protection. This article focuses on the problems in the preparation of recycled aggregates from waste concrete, which has important practical value. This article presents a new type of recycled concrete prepared through surface modification of recycled coarse aggregate and design experiments to change the replacement rate of coarse aggregate. The physical properties of recycled coarse aggregate, workability of fresh concrete, and mechanical properties of recycled concrete are analyzed. The research results indicate the following: (1) Through surface modification, recycled concrete can improve the workability of fresh concrete at a fixed water cement ratio, which can meet the requirements of mixing, transportation, and pouring of fresh concrete. (2) By modifying the surface of recycled aggregates, the strong water absorption performance of recycled aggregates caused by old mortar and surface defects has been reduced. And the modification effect of recycled aggregate improves the hydration process of recycled concrete, making the surface structure dense and further enhancing the strength of recycled concrete. (3) The compressive strength of recycled concrete specifications from construction waste shows a decreasing trend with the increase in coat aggregate replacement rate. The final ratio is as follows: modular dose of 12%, modification time of 90 min, and 20% recycled aggregate content.

show abstract

An improved 3D microstructure reconstruction approach for porous media

Cited by 34 publications

References 59 publications

Minireview on Porous Media and Microstructure Reconstruction Using Machine Learning Techniques: Recent Advances and Outlook

Minireview on Porous Media and Microstructure Reconstruction Using Machine Learning Techniques: Recent Advances and Outlook

Application of Industrial Waste Materials by Alkaline Activation for Use as Geopolymer Binders

Experimental Study on Preparation and Characteristics of Concrete Modified by Construction Waste

Contact Info

Product

Resources

About