Pore microstructure and mechanical behaviour of frozen soils subjected to variable temperature

Jiang, Ningshan; Li, Hongwei; Liu, Ya; Li, Hui; Wen, Dongyao

doi:10.1016/j.coldregions.2022.103740

Cited by 14 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Probability entropy is a quantitative parameter that re ects the orderliness of pores (particles), with a value between 0 and 1. The closer the value is to 1, the more disorderly the arrangement of pores (particles), and the lower the degree of orderliness, and vice versa (Jiang et al, 2023). The probability entropy of the samples at 0~200 °C was relatively large, all above 0.97, indicating that the arrangement of soil particles was relatively disorderly and there was no obvious orientation.…”

Section: Development Process Of Micro-pores Under Dry-wet Cyclementioning

confidence: 97%

Study on the effect of microwave irradiation improvement on the long-term stability of expansive soil

Zhang,

Hu,

et al. 2024

Preprint

View full text Add to dashboard Cite

In dry-wet cycles, the clay minerals of expansive soil repeatedly hydrate and dehydrate, causing its expansion and contraction, resulting in many cracks, which will bring harm to human engineering construction. Microwave, as an efficient material improvement method, has been used in clay mineral synthesis and material manufacturing. Our previous studies have proved that microwave technology can improve the performance of soil, but the long-term stability of expansive soil by microwave has not been studied. In this paper, microwave technology is used to improve the performance of expansive soil, and the effect of microwave on the damage law and long-term stability of expansive soil under dry-wet cycles is studied. The soil was heated to 200°C, 300°C, 400°C and 500°C respectively by microwave irradiation, and dry-wet cycle tests were carried out. According to the data of SEM, unconfined compressive strength and free expansion rate, the damage law and long-term stability of expansive soil were analyzed. The results show that, compared with original samples, the compressive strength can be increased by 27 times and the expansion rate can be reduced to 0 by microwave heating to 500°C. In addition, microwave irradiation changes the way of fracture development. The change of fracture development pattern leads to the improvement of water resistance and strength of expansive soil, and thus the long-term stability of expansive soil is improved. The researches result of this paper can provide a reference for stability evaluation and design of expansive soil slope engineering.

show abstract

Section: Development Process Of Micro-pores Under Dry-wet Cyclementioning

confidence: 97%

Study on the effect of microwave irradiation improvement on the long-term stability of expansive soil

Zhang,

Hu,

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…It shows that the directionality of the pore system in the first and third stages is strong, and the directionality of the pore system in the second stage is weakened. The corresponding directional characteristics of soil particles are strengthened, i.e., part of the surface contact between soil particles is converted into point contact, which is not conducive to the strength properties [53].…”

Section: (4) Porositymentioning

confidence: 99%

Prediction of the Unconfined Compressive Strength of Salinized Frozen Soil Based on Machine Learning

Zhao,

Bing

2024

Buildings

View full text Add to dashboard Cite

Unconfined compressive strength (UCS) is an important parameter of rock and soil mechanical behavior in foundation engineering design and construction. In this study, salinized frozen soil is selected as the research object, and soil GDS tests, ultrasonic tests, and scanning electron microscopy (SEM) tests are conducted. Based on the classification method of the model parameters, 2 macroscopic parameters, 38 mesoscopic parameters, and 19 microscopic parameters are selected. A machine learning model is used to predict the strength of soil considering the three-level characteristic parameters. Four accuracy evaluation indicators are used to evaluate six machine learning models. The results show that the radial basis function (RBF) has the best UCS predictive performance for both the training and testing stages. In terms of acceptable accuracy and stability loss, through the analysis of the gray correlation and rough set of the three-level parameters, the total amount and proportion of parameters are optimized so that there are 2, 16, and 16 macro, meso, and micro parameters in a sequence, respectively. In the simulation of the aforementioned six machine learning models with the optimized parameters, the RBF still performs optimally. In addition, after parameter optimization, the sensitivity proportion of the third-level parameters is more reasonable. The RBF model with optimized parameters proved to be a more effective method for predicting soil UCS. This study improves the prediction ability of the UCS by classifying and optimizing the model parameters and provides a useful reference for future research on salty soil strength parameters in seasonally frozen regions.

show abstract

Modelling the frost cracking behavior in clayey soils: A peridynamic approach

Zheng,

Wang,

et al. 2024

Computers and Geotechnics

View full text Add to dashboard Cite

Pore microstructure and mechanical behaviour of frozen soils subjected to variable temperature

Cited by 14 publications

References 20 publications

Study on the effect of microwave irradiation improvement on the long-term stability of expansive soil

Study on the effect of microwave irradiation improvement on the long-term stability of expansive soil

Prediction of the Unconfined Compressive Strength of Salinized Frozen Soil Based on Machine Learning

Modelling the frost cracking behavior in clayey soils: A peridynamic approach

Contact Info

Product

Resources

About