Mathematical Modeling of Complex Granular Systems

Topic Information

Dear Colleagues,

Granular materials are ubiquitous in natural and engineering systems, and the physics and mechanics of them are crucial for understanding some aspects of geophysical flows, natural hazards (such as landslides and pyroclastic flows), food processing, chemical engineering, and pharmaceutical engineering. Granular materials can behave like a solid, a liquid, or a gas in different circumstances, which increases the difficulty in capturing their macroscopic behavior. Above all, granular materials are athermal, dissipative, and non-equilibrium. The thermal, mechanical behavior of granular assemblies and the phase transition when the system is subjected to different loading conditions, such as vibration, shaking, or shearing, bring huge difficulties in describing the general behavior of such a system. Additionally, there is still a long way to go to link the behavior of relatively simple mono- or bi- dispersed granular systems with regular particle shapes to the behavior of real natural or engineering system, such as different geomaterials, concrete, powders, etc., and to provide a proper mathematical model for simulating the macroscopic behavior of complex granular systems. This multidisciplinary topic presents a platform where academic and industry researchers can present methodologies, techniques, applications, experiments, and theoretical derivations that aim to increase our understanding of complex granular systems and their emergent behaviors, such as granular rheology, self-organizing criticality, granular segregation and percolation theory, and help link the behavior of granular system to more complex geomaterials. The focus of this Topic is both on modelling and simulation techniques but also on their practical application on various scenarios, and as such papers are welcome on a variety of topics including modelling, simulation, analysis, experimentation, and specific properties as defined above. Papers submitted on new and emerging topics within the general discipline are also encouraged.

Best regards,

Prof. Dr. Herbert Huppert
Dr. Teng Man
Dr. Xudong Zhang
Dr. Yiding Bao
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Entropy entropy	2.1	4.9	1999	22.4 Days	CHF 2600	Submit
Materials materials	3.1	5.8	2008	15.5 Days	CHF 2600	Submit
Symmetry symmetry	2.2	5.4	2009	16.8 Days	CHF 2400	Submit
Mathematics mathematics	2.3	4.0	2013	17.1 Days	CHF 2600	Submit
Fractal and Fractional fractalfract	3.6	4.6	2017	20.9 Days	CHF 2700	Submit

MDPI Topics is cooperating with Preprints.org and has built a direct connection between MDPI journals and Preprints.org. Authors are encouraged to enjoy the benefits by posting a preprint at Preprints.org prior to publication:

1. Immediately share your ideas ahead of publication and establish your research priority;
2. Protect your idea from being stolen with this time-stamped preprint article;
3. Enhance the exposure and impact of your research;
4. Receive feedback from your peers in advance;
5. Have it indexed in Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers (6 papers)

Order results

Content type Publication Date

Result details

Normal Extended Compact

Journals

All Entropy Materials Symmetry Mathematics Fractal Fract

Show export options expand_more Show export options expand_less

Select all

Export citation of selected articles as:

Plain Text BibTeX BibTeX (without abstracts) Endnote Endnote (without abstracts) Tab-delimited RIS

Error

Oops... you haven't selected anything for export.

Ok

clear

18 pages, 417 KiB  

Open AccessArticle

The Connections Between Attribute-Induced and Object-Induced Decision Rules in Incomplete Formal Contexts

by Hongwei Wang, Huilai Zhi, Yinan Li, Daxin Zhu and Jianbing Xiahou

Symmetry 2024, 16(10), 1403; https://doi.org/10.3390/sym16101403 - 21 Oct 2024

Viewed by 900

Abstract

For a given incomplete context, object-induced approximate concepts have been defined, and this type of approximate concept can induce a type of decision rule. Based on the duality principle, another set of approximate concepts can be defined from the perspective of attributes, i.e., [...] Read more.

For a given incomplete context, object-induced approximate concepts have been defined, and this type of approximate concept can induce a type of decision rule. Based on the duality principle, another set of approximate concepts can be defined from the perspective of attributes, i.e., attribute-induced approximate concepts. Although object induced approximate concepts and attribute induced approximate concepts are symmetrical by duality principle, their induced decision rules exhibit different properties and the connections between attribute induced decision rules and object induced decision rules in incomplete formal contexts are not clear. To this end, a type of attribute-induced approximate concept and a method of extracting attribute-induced decision rules are presented. More importantly, it is revealed that given a type of decision rules, there must be corresponding decision rules of the other type, and both of them can provide some useful information, but they are not equivalent to each other. In other words, each type of decision rule can provide some unique and irreplaceable information. Full article

(This article belongs to the Topic Mathematical Modeling of Complex Granular Systems)

►▼ Show Figures

Figure 1

17 pages, 4703 KiB  

Open AccessArticle

The Role of a New Stabilizer in Enhancing the Mechanical Performance of Construction Residue Soils

by Xin Chen, Jing Yu, Feng Yu, Jingjing Pan and Shuaikang Li

Materials 2024, 17(17), 4293; https://doi.org/10.3390/ma17174293 - 30 Aug 2024

Viewed by 567

Abstract

Urban construction generates significant amounts of construction residue soil. This paper introduces a novel soil stabilizer based on industrial waste to improve its utilization. This stabilizer is primarily composed of blast furnace slag (BFS), steel slag (SS), phosphogypsum (PG), and other additives, which [...] Read more.

Urban construction generates significant amounts of construction residue soil. This paper introduces a novel soil stabilizer based on industrial waste to improve its utilization. This stabilizer is primarily composed of blast furnace slag (BFS), steel slag (SS), phosphogypsum (PG), and other additives, which enhance soil strength through physical and chemical processes. This study investigated the mechanical properties of construction residue soil cured with this stabilizer, focusing on the effects of organic matter content (O_o), stabilizer dosage (O_c), and curing age (T) on unconfined compressive strength (UCS). Additionally, water stability and wet–dry cycle tests of the stabilized soil were conducted to assess long-term performance. According to the findings, the UCS increased with the higher stabilizer dosage and longer curing periods but reduced with the higher organic matter content. A stabilizer content of 15–20% is recommended for optimal stabilization efficacy and cost-efficiency in engineering applications. The samples lost their strength when immersed in water. However, adding more stabilizers to the soil can effectively enhance its water stability. Under wet–dry cycle conditions, the UCS initially increased and then decreased, remaining lower than that of samples cured under standard conditions. The findings can provide valuable data for the practical application in construction residual soil stabilization. Full article

(This article belongs to the Topic Mathematical Modeling of Complex Granular Systems)

►▼ Show Figures

Figure 1

attachment

Supplementary material:
Supplementary File 1 (ZIP, 1455 KiB)

27 pages, 14368 KiB  

Open AccessArticle

Parametric Modelling of the Crystalline Microstructure of the MCM41-Type Mesoporous Silica Modified with Derivatives of Alkyls

by Jarosław Stocki, Marcin Kuśmierz, Weronika Sofińska-Chmiel, Marek Stankevič, Marcin Puchała, Marek A. Kojdecki, Robert Gąska and Henryk Grajek

Materials 2024, 17(13), 3065; https://doi.org/10.3390/ma17133065 - 21 Jun 2024

Viewed by 649

Abstract

A siliceous material in which a framework order was established with a surfactant with sixteen carbon atoms in alkyl chains, MCM-41-C16, was synthesised, surface-modified, and tested regarding the selected physical properties. The pristine material was extracted in an acidic aqueous alcohol and then [...] Read more.

A siliceous material in which a framework order was established with a surfactant with sixteen carbon atoms in alkyl chains, MCM-41-C16, was synthesised, surface-modified, and tested regarding the selected physical properties. The pristine material was extracted in an acidic aqueous alcohol and then lined with different surface groups. The properties of four adsorbents were investigated using XRD, X-ray photoelectron spectroscopy, and N2 physisorption techniques. The unit–cell constant was determined from X-ray diffractograms, being in fixed relation to the edge length of the hexagonal frame. The specific surface areas of mesopores and whole crystallites were determined from low-temperature N2-physisorption isotherms. The novelty of this work is a mathematical model of a crystalline microstructure explaining the sizes and shapes of crystalline grains in relation to adsorption features, proposed and successfully tested with the aforementioned experimental data. The roughness of the surface is different from one that is necessary to explain the experimental characteristics quantitatively. Full article

(This article belongs to the Topic Mathematical Modeling of Complex Granular Systems)

►▼ Show Figures

Figure 1

15 pages, 1712 KiB  

Open AccessArticle

Mathematical Modeling of Pavement Gyratory Compaction: A Perspective on Granular-Fluid Assemblies

by Teng Man

Mathematics 2023, 11(9), 2096; https://doi.org/10.3390/math11092096 - 28 Apr 2023

Cited by 1 | Viewed by 1531

Abstract

The compaction of asphalt mixture is crucial to the performance of the pavement. However, the mix design (i.e., porosity, aggregate size distribution, binder content), which is based on compaction results, remains largely empirical. It is difficult to relate the aggregate size distribution and [...] Read more.

The compaction of asphalt mixture is crucial to the performance of the pavement. However, the mix design (i.e., porosity, aggregate size distribution, binder content), which is based on compaction results, remains largely empirical. It is difficult to relate the aggregate size distribution and the asphalt binder properties to the compaction curve in both the field and laboratory compaction of asphalt mixtures. In this paper, the author proposes a simple mathematical model from the perspective of granular physics to predict the compaction of asphalt mixtures. In this model, the compaction process is divided into two mechanisms: (i) viscoplastic deformation of an ordered granular-fluid assembly, and (ii) the transition from an ordered system to a disordered system due to particle rearrangement. This model could take into account both the viscous properties of the asphalt binder and the grain size distributions of the aggregates, where the viscous deformation is calculated with a proposed governing equation and the particle rearrangement effect is solved using simple DEM simulations. This model is calibrated based on the Superpave gyratory compaction tests in the pavement lab, and the R-squares of model predictions are all above 0.95. The model results are compared with experimental data to show that it can provide good predictions for the experiments, suggesting its potential for enhancing the design of asphalt mixtures. Full article

(This article belongs to the Topic Mathematical Modeling of Complex Granular Systems)
(This article belongs to the Section Engineering Mathematics)

►▼ Show Figures

Figure 1

22 pages, 5813 KiB  

Open AccessArticle

The Study on Mathematical Simulation and Analysis of the Molecular Discrete System of the Sulfurated Eucommia Ulmoides Gum

by Simeng Yan, Naisheng Guo, Xin Jin, Zhaoyang Chu and Sitong Yan

Mathematics 2023, 11(4), 964; https://doi.org/10.3390/math11040964 - 13 Feb 2023

Cited by 2 | Viewed by 1284

Abstract

In recent years, sulfurized eucommia ulmoides gum (SEUG) has been used and developed in many fields due to its good properties. The cross-linking degree is crucial to the performance of SEUG. In order to explore the effect of the cross-linking degree on SEUG [...] Read more.

In recent years, sulfurized eucommia ulmoides gum (SEUG) has been used and developed in many fields due to its good properties. The cross-linking degree is crucial to the performance of SEUG. In order to explore the effect of the cross-linking degree on SEUG in depth, this paper combines macroscopic and microscopic techniques, and molecular discrete system models of EUG and SEUG with different cross-linking degrees are calculated by molecular dynamics simulation, and the density and solubility parameters of EUG, glass transition temperature, radial distribution function and mechanical property parameters of SEUG are derived. The results show that (1) the suitable minimum degree of polymerization of EUG is N = 30; (2) the degree of cross-linking has a significant effect on the intramolecular radial distribution of SEUG, but it has a small effect on the intermolecular radial distribution of SEUG; (3) the degree of cross-linking of SEUG should be controlled to be between 40% and 80% because the mechanical properties of SEUG, namely the bulk modulus, shear modulus, elastic modulus, Poisson’s ratio, Corsi pressure, are the best ones. Therefore, the conclusions of this study provide a theoretical basis for engineering practices. Full article

(This article belongs to the Topic Mathematical Modeling of Complex Granular Systems)
(This article belongs to the Section Engineering Mathematics)

►▼ Show Figures

Figure 1

25 pages, 9540 KiB  

Open AccessArticle

Analysis of Formation Mechanism of Slightly Inclined Bedding Mudstone Landslide in Coal Mining Subsidence Area Based on Finite–Discrete Element Method

by Jiaxin Zhong, Zhengjun Mao, Wankui Ni, Jia Zhang, Gaoyang Liu, Jinge Zhang and Mimi Geng

Mathematics 2022, 10(21), 3995; https://doi.org/10.3390/math10213995 - 27 Oct 2022

Cited by 5 | Viewed by 1815

Abstract

In this paper, the formation mechanism of a slightly inclined bedding mudstone landslide in the overlying mountain of the coal mining subsidence area of the Tanshan Coal Mine in Ningxia, China, is studied. By means of geotechnical investigation, indoor geotechnical tests, theoretical analysis [...] Read more.

In this paper, the formation mechanism of a slightly inclined bedding mudstone landslide in the overlying mountain of the coal mining subsidence area of the Tanshan Coal Mine in Ningxia, China, is studied. By means of geotechnical investigation, indoor geotechnical tests, theoretical analysis and other technical means, we find the geological environment background of the study area and obtain the physical and mechanical property indexes of the mining landslide in the Tanshan Coal Mine. By combining the numerical simulation of discrete elements and finite elements, the macro deformation and failure law of the mining mudstone landslide and the displacement and stress nephogram of the failure process are discussed. The results show that the slightly inclined bedding mudstone landslide in the Tanshan Coal Mine is 850 m long from east to west, 500 m wide from north to south and 10,875,000 m³ in volume. It is composed of Jurassic mudstone and is a traction landslide caused by the coal mining subsidence area. The formation of the landslide is affected by internal factors and inducing factors. The internal factors are mainly geotechnical types and engineering geological properties, and the inducing factors are mainly coal mining activities and rainfall. By analyzing and summarizing the calculation process of the slope model prior to the landslide in 2D-Block and GeoStudio numerical simulation software, the sliding process of the slightly inclined bedding mudstone landslide in the Tanshan Coal Mine is divided into four stages: slope creep, slope deformation, landslide movement and landslide accumulation. GeoStudio software is used to calculate the stability of the Tanshan Coal Mine landslide under natural and rainfall conditions. The landslide is in a stable state under natural conditions and is basically stable under rainfall conditions. By comparing the calculation results of the limit equilibrium method and the finite element limit equilibrium method, we find that the calculated stability coefficient is more accurate when the appropriate constitutive model is selected. The research results have important reference significance for the prevention and control of the gently inclined bedding mudstone landslide of the overlying mountain in the coal mining subsidence area of the Loess Plateau. Full article

(This article belongs to the Topic Mathematical Modeling of Complex Granular Systems)
(This article belongs to the Section Engineering Mathematics)

►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less

Select all

Export citation of selected articles as:

Plain Text BibTeX BibTeX (without abstracts) Endnote Endnote (without abstracts) Tab-delimited RIS

 

Error

Oops... you haven't selected anything for export.

Ok

clear

Displaying articles 1-6