Microstructure Quantification, Characterization, and Regional Variation in the Ma Lan Loess on the Loess Plateau in China

Deng, Longsheng; Fan, Wen; Chang, Yafei; Yu, Bo; Wei, Ya-ni; Wei, Tingting

doi:10.1061/(asce)gm.1943-5622.0002075

Cited by 13 publications

(7 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After completing threshold segmentation, we extract two-dimensional microstructures such as particles and pores, and then proceed to creating the morphology of three-dimensional particles and pores. (4) Quantitative analysis [35]. Based on the results of the experiment and image reconstruction, the 3D microstructure of loess particles and the three-dimensional pore network were constructed.…”

Section: Plos Onementioning

confidence: 99%

“…particles with a particle sphericity greater than 0.7 in loess particles in other strata exceeds 50% of the total. According to the classification of particle sphericity characteristics [35], the loess particles could be mainly classified as thin-slice, long-strip, sub-prismatic granule, multiangled granule, sub-globularity, and globularity, respectively. L6 and L7 strata are mainly composed of multi-angled granule and sub-globularity particles, while remaining strata are primarily composed of sub-globularity particles.…”

Section: Plos Onementioning

confidence: 99%

See 1 more Smart Citation

Quantitative characterization of microstructure and research on spatial variation characteristics of loess of different strata in Luochuan, Shaanxi, China

Chang,

Yuan

2024

PLoS ONE

View full text Add to dashboard Cite

The complete sequence of loess strata in Luochuan has become a typical section in loess strata, and is the main focus of research for many scholars studying loess. We were based on the theory of aeolian loess and established a set of quantitative index parameters for loess microstructure through our previous research, such as equivalent diameter, sphericity, morphology ratio, orientation angle Phi, orientation angle Theta, pore Eq-Radius, throat Eq-Radius and throat channelLength. Through the quantitative characterization of various index parameters of the Luochuan loess, we found that the probability density of each index parameter meets a specific distribution well, and in terms of spatial dimension, it shows that as the depth of the strata increases, the average particle size and the mode of pore Eq-Radius, throat Eq-Radius and throat channelLength generally increase, while the mode of particle morphology ratio generally decreases. In addition, loess particles in deeper strata are less prone to vertical sedimentation and tend to deposit gently or horizontally. Most particles in different strata are distributed in a northwest or southwest direction. During the formation period of strata, the main cause for spatial differences is the material carrying force. We conducted a statistical analysis on the correlation between the macroscopic physical properties of loess and its microstructure index parameters. Specifically, we found a positive correlation between loess density and the average particle size and the mode of particle equivalent diameter, Additionally, we found a negative correlation between loess liquid limit and plastic limit, and the mode of particle morphology ratio. Furthermore, there was a negative correlation between permeability coefficient and the mode of pore Eq-Radius, throat Eq-Radius, and throat channelLength.

show abstract

Section: Plos Onementioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

Quantitative characterization of microstructure and research on spatial variation characteristics of loess of different strata in Luochuan, Shaanxi, China

Chang,

Yuan

2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…X-ray microtomography (μ-CT) has experienced rapid development in recent decades and has become increasingly popular for the characterization of 3D loess microstructure features (e.g., Deng et al, 2021;Wei et al, 2019Wei et al, , 2020Yu et al, 2020Yu et al, , 2022. A spatial resolution of approximately 1 μm proves to be adequate for the characterization of most skeleton particles and inter-particle/ aggregate pores within loess.…”

Section: Stokes' Diameter Considermentioning

confidence: 99%

“…Scanning electron microscopy (SEM) and X-ray microtomography (μ-CT) have become effective technical tools in the representation of the microscopic features of loess. Scholars have made substantial progress regarding the combination of the quantitative analysis of reconstructed 3D microstructures and the qualitative analysis of 2D SEM images (Deng et al, 2021;Wei et al, 2019Wei et al, , 2020. However, obtaining agglomerate separation by adjusting the parameters has resulted in over-separation.…”

mentioning

confidence: 99%

A new method for determining loess particle size distribution based on ‘core + clothes’ structure

Zhou

et al. 2023

Earth Surf Processes Landf

View full text Add to dashboard Cite

The particle size distribution (PSD) of loess particles and agglomerates is the key factor determining the microstructure of loess. The PSD largely determines many physical and mechanical properties such as mechanical strength, deformation characteristics and permeability of loess. In this paper, we combined image processing, geometric measurements and statistical methods to quantitatively characterize the scanning electron microscopy (SEM) images of loess. A new method based on the ‘core + clothes’ structure is proposed to determine the PSD. The developed Gaussian mixture model is applicable to describe the overall distribution of the image pixel density. Determining pixel density distribution and particle boundary allows for the measurement of various geometric parameters. The comparison analyses suggest that the sieve‐hydrometer method has a well‐developed test procedure; however, the measured particle size is limited to 0.075 mm. The laser diffraction method is simple and fast, yet only weak agglomerates can be dispersed, and very fine particles are influenced by size data conversion theory and light source parameters. X‐ray microtomography has the advantage of a non‐destructive sample preparation and intuitive process. However, the results are greatly affected by the parameter settings and segmentation algorithm, and the segmentation effect is poor for particles with a size smaller than 12 μm. The new image processing technique developed in this study improves the limitation of the measurement results via changes in the loess state (water content, stress level). Moreover, different PSDs can be determined according to the variation of functional units. This work is of great significance for the study of numerous properties related to the loess state.

show abstract

“…In the middle of the 20th century, scholars described the macroscopic mechanics by considering loess particles as rigid spheres [ 18 , 19 ]. Subsequently, scholars conducted non-quantitative research on the morphology, size, connection mode, pore type, and distribution of loess particles using various means such as optical microscopy (OM) [ 20 , 21 ], scanning electron microscope (SEM) [ 8 , 9 , [22] , [23] , [24] , [25] , [26] , [27] ], and mercury intrusion porosimetry (MIP). Chinese scholars such as Gao Guorui and Lei Xiangyi combined the microstructure characteristics with loess collapsibility, laying a foundation for subsequent studies on loess microstructure [ 10 , 11 , [28] , [29] , [30] ].…”

Section: Introductionmentioning

confidence: 99%

A study on the collapse characteristics of loess based on energy spectrum superposition method

Zhang¹,

Li²,

Lu³

et al. 2023

Heliyon

Self Cite

View full text Add to dashboard Cite

Microstructure Quantification, Characterization, and Regional Variation in the Ma Lan Loess on the Loess Plateau in China

Cited by 13 publications

References 22 publications

Quantitative characterization of microstructure and research on spatial variation characteristics of loess of different strata in Luochuan, Shaanxi, China

Quantitative characterization of microstructure and research on spatial variation characteristics of loess of different strata in Luochuan, Shaanxi, China

A new method for determining loess particle size distribution based on ‘core + clothes’ structure

A study on the collapse characteristics of loess based on energy spectrum superposition method

Contact Info

Product

Resources

About