Experimental study and discrete element method modeling of compression and permeability behaviors of weakly anisotropic sandstones

Yu, Jin; Yao, Wensheng; Kang, Di; Liu, Xueying; Zhu, Yuefei

doi:10.1016/j.ijrmms.2020.104437

Cited by 117 publications

(46 citation statements)

References 43 publications

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“…Grey wolf optimizer (GWO) [28] is a new metaheuristic algorithm that imitates the hunting behavior of wolf pack; GWO has the advantages of simple principle, few adjustment parameters, strong global search ability, and so on. In the study of combinatorial optimization problems, it has been proven to have significant advantages and has been widely applied in various fields [29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence

Qiao

Tan

Zhang

et al. 2021

Advances in Civil Engineering

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This paper proposes a novel grey wolf optimization-extreme learning machine model, namely, the GWO-ELM model, to train and predict the ground subsidence by combining the extreme learning machine with the grey wolf optimization algorithm. Taking an excavation project of a foundation pit of Kunming in China as an example, after analyzing the settlement monitoring data of cross sections JC55 and JC56, the representative monitoring sites JC55-2 and JC56-1 were selected as the training monitoring samples of the GWO-ELM model. And three kinds of GWO-ELM models such as considering the influence of time series, influence of settlement factors, and after optimization were established to predict the ground settlement near the foundation pit. The predictive results are that their average relative error and average absolute error are ranked from large to small as GWO-ELM model based on time series, GWO-ELM model based on settlement factors, and optimized GWO-ELM model for the three kinds of GWO-ELM models at monitoring points JC55-2 and JC56-1. Accordingly, the optimized GWO-ELM model has the strongest predictive ability.

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Section: Introductionmentioning

confidence: 99%

Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence

Qiao

Tan

Zhang

et al. 2021

Advances in Civil Engineering

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“…Wang et al [29] analyzed the reinforcement measures of the damaged rock mass through test data and studied the mechanical properties of a reinforced rock mass. Yu et al [30] studied the influence of osmotic pressure on the mechanical properties of sandstone with different bedding dip angles and established the corresponding constitutive model. Yang et al [31] studied the reinforcement method of unloading the rock mass.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Properties of Sandstones under Initial Unloading Damage

Zhang

Wang

et al. 2021

Advances in Civil Engineering

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To study the influence of initial unloading damage on the mechanical properties of sandstone, the repeated loading test of unloading damaged sandstone was carried out considering 8 initial unloading quantities of 100%, 93.33%, 86.67%, 80%, 73.33%, 66.67%, 40%, and 0%. The results were compared with those of the triaxial compression test of intact samples. The results show that the peak strength of intact samples is higher than that of unloading damaged samples, and the difference is more obvious when the unloading quantity is more than 80%. During the unloading process, the strain increasing rate of rock samples is obvious, and the lateral dilatation is significant, and the deformation modulus and compressive strength of the rock sample deteriorate obviously. From the energy point of view, the greater the unloading damage, the smaller the stored elastic strain energy, which leads to the decrease of peak strength. At present, the unloading fracture inside the rock sample has developed, and the failure mode of the sample gradually changes from compression shear failure to tensile shear failure. In the process of engineering rock mass excavation, the unloading area and unloading damage amount of the rock mass is a dynamic adjustment process. To ensure the safety of the engineering rock mass, it is suggested to determine reasonable reinforcement time, reinforcement area, and reinforcement measures.

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“…The research on the seepage characteristics and solute transport processes in fractured rock masses have always been a hot topic in the field of underground engineerings, such as the extraction of shale and unconventional natural gas, the geological storage of CO2, the development of geothermal energy, and the disposal of nuclear waste (Babadagli et al 2015;Chen et al 2014;Ranjith and Darlington 2007;Rutqvist 2015;Yu et al 2020;Zou et al 2017). The permeability of the rock matrix is extremely low, and the seepage channels in fractured rock masses are mainly composed of fracture networks, however, due to the complexity of the fracture network, single fracture seepage as the basic unit of fracture network should be the focus of research.…”

Section: / 28 1 Introductionmentioning

confidence: 99%

The effect of contact areas on seepage behavior in 3D rough fractures under normal stress

Liu

et al. 2021

Preprint

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The investigation of fluid flow in fractured rocks is a key issue in underground engineering. Reservoir sandstones as a case study, three specimens with different roughness using the Brazilian splitting were scanned to get the geometric morphology and aperture distribution, and the fractal dimension was introduced to characterize the fracture roughness. The flow experiments through the rough fractures subjected to different normal stresses were conducted to analyze the influence of the fractal dimension and the contact ratio on the nonlinear flow behavior, proving that the Forchheimer equation could better describe the flow nonlinearity. A modified Bandis model based on the experiments was proposed to calculate the max normal displacement of fracture under different normal stresses. Besides, a new model to forecast the nonlinear coefficient B was developed depending on the fractal dimension and the contact ratio, and a semi-empirical equation was employed to describe the critical Reynolds number. The influence of contact on the seepage path is simulated by COMSOL.

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Experimental study and discrete element method modeling of compression and permeability behaviors of weakly anisotropic sandstones

Cited by 117 publications

References 43 publications

Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence

Settlement Prediction of Foundation Pit Excavation Based on the GWO-ELM Model considering Different States of Influence

Mechanical Properties of Sandstones under Initial Unloading Damage

The effect of contact areas on seepage behavior in 3D rough fractures under normal stress

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