A prediction model for uniaxial compressive strength of deteriorated pyroclastic rocks due to freeze–thaw cycle

İnce, İsmail; Fener, Mustafa

doi:10.1016/j.jafrearsci.2016.05.001

Cited by 70 publications

(19 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Besides, many decay models [32][33][34][35][36] were built by scholars to analyze the durability of rocks that suffered long-term freeze-thaw weathering. Mutlutürk et al [32] proposed a decay model that uses the decay constant ( ) parameters to express the disintegration rate of rock.…”

Section: Freeze-thaw Cycles Effect On Dynamic Compressive Properties mentioning

confidence: 99%

NMR Pore Structure and Dynamic Characteristics of Sandstone Caused by Ambient Freeze-Thaw Action

Zhou

Deng

et al. 2017

Shock and Vibration

View full text Add to dashboard Cite

For a deeper understanding of the freeze-thaw weathering effects on the microstructure evolution and deterioration of dynamic mechanical properties of rock, the present paper conducted the nuclear magnetic resonance (NMR) tests and impact loading experiments on sandstone under different freeze-thaw cycles. The results of NMR test show that, with the increase of freezethaw cycles, the pores expand and pores size tends to be uniform. The experimental results show that the stress-strain curves all go through four stages, namely, densification, elasticity, yielding, and failure. The densification curve is shorter, and the slope of elasticity curve decreases as the freeze-thaw cycles increase. With increasing freeze-thaw cycles, the dynamic peak stress decreases and energy absorption of sandstone increases. The dynamic failure form is an axial splitting failure, and the fragments increase and the size diminishes with increasing freeze-thaw cycles. The higher the porosity is, the more severe the degradation of dynamic characteristics is. An increase model for the relationships between the porosity or energy absorption and freeze-thaw cycles number was built to reveal the increasing trend with the freeze-thaw cycles increase; meanwhile, a decay model was built to predict the dynamic compressive strength degradation of rock after repeated freeze-thaw cycles.

show abstract

Section: Freeze-thaw Cycles Effect On Dynamic Compressive Properties mentioning

confidence: 99%

NMR Pore Structure and Dynamic Characteristics of Sandstone Caused by Ambient Freeze-Thaw Action

Zhou

Deng

et al. 2017

Shock and Vibration

View full text Add to dashboard Cite

show abstract

“…Bayram [9] developed a statistical model to estimate the reduction in the uniaxial compressive strength of limestone after freeze-thaw cycle treatment. İnce and Fener [10] investigated various rock index properties after freeze-thaw cycle treatment, including the dry density, ultrasonic velocity, point load strength, and slake-durability test indices, and proposed a statistical model to predict the uniaxial compressive strength of deteriorated pyroclastic rocks. Liu et al [11] improved an empirical equation to determine the uniaxial compressive strength of rocks subjected to freeze-thaw cycles based on a fatigue damage model.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Prediction Model of the Triaxial Compressive Strength of Rock Subjected to Freeze-Thaw Cycles Based on a Genetic Algorithm and Artificial Neural Network

et al. 2021

View full text Add to dashboard Cite

Rock compressive strength is an important mechanical parameter for the design, excavation, and stability analysis of rock mass engineering in cold regions. Accurate and rapid prediction of rock compressive strength has great engineering value in guiding the efficient construction of rock mass engineering in a cold regions. In this study, the prediction of triaxial compressive strength (TCS) for sandstone subjected to freeze-thaw cycles was proposed using a genetic algorithm (GA) and an artificial neural network (ANN). For this purpose, a database including four model inputs, namely, the longitudinal wave velocity, porosity, confining pressure, and number of freeze-thaw cycles, and one output, the TCS of the rock, was established. The structure, initial connection weights, and biases of the ANN were optimized progressively based on GA. After obtaining the optimal GA-ANN model, the performance of the GA-ANN model was compared with that of a simple ANN model. The results revealed that the proposed hybrid GA-ANN model had a higher accuracy in predicting the testing datasets than the simple ANN model: the root mean square error (RMSE), mean absolute error (MAE), and R squared ( R 2 ) were equal to 1.083, 0.893, and 0.993, respectively, for the hybrid GA-ANN model, while the corresponding values were 2.676, 2.153, and 0.952 for the simple ANN model.

show abstract

“…In the water-enriched cold environment, this initial defect is easily affected by the loss effect induced by freeze-thaw cycles and loads, causing changes in the mechanical properties and failure laws of rocks. The damage change, the mechanical behavior and deformation characteristics of the rock under different freezethaw cycles have certain differences [1][2][3][4]. The research about constitutive model can accurately reflect the stressstrain relationship of the rock under the effect of freezethaw cycles, which can provide a theoretical reference for the analysis and prediction of the rock material strength, deformation and failure characteristics under the freezing and thawing environment.…”

Section: Introductionmentioning

confidence: 99%

Uniaxial Compression Fractal Damage Constitutive Model of Rock Subjected to Freezing and Thawing

Zhou¹,

Jiang²,

Luo³

et al. 2020

Period. Polytech. Civil Eng.

View full text Add to dashboard Cite

Mechanical properties of the rock in the cold regions are often affected by freeze-thaw cycles and loads. It is of great theoretical significance and engineering value to establish a uniaxial compression damage constitutive model of the rock under freeze-thaw cycles that can reflect the relationship between macroscopic and mesoscopic structural damage. In this paper, macroscopic and mesoscopic methods are combined with statistical methods to quantitatively analyze the damage degree of rock under freeze-thaw cycles and loads. Combined with the fractal features of the macroscopic image of the section, a fractal damage constitutive model considering the residual strength of rock is established. In addition, the model is subsequently verified by the experiment. The experiment shows that the mechanical properties of rocks subjected to freeze-thaw cycles and loads are determined by freeze-thaw damage variables, load damage variables, and their coupling effects. As the number of freeze-thaw cycles increases, the uniaxial compressive strength and elastic modulus of rocks decrease, and peak strain increases. By using the fractal dimension of the compression fracture surface as a bridge considering the residual strength of the rock, the constitutive model can better reflect the compaction stage, elastic deformation stage and plastic deformation stage of the uniaxial compression process of the freeze-thaw rocks.

show abstract

A prediction model for uniaxial compressive strength of deteriorated pyroclastic rocks due to freeze–thaw cycle

Cited by 70 publications

References 22 publications

NMR Pore Structure and Dynamic Characteristics of Sandstone Caused by Ambient Freeze-Thaw Action

NMR Pore Structure and Dynamic Characteristics of Sandstone Caused by Ambient Freeze-Thaw Action

Intelligent Prediction Model of the Triaxial Compressive Strength of Rock Subjected to Freeze-Thaw Cycles Based on a Genetic Algorithm and Artificial Neural Network

Uniaxial Compression Fractal Damage Constitutive Model of Rock Subjected to Freezing and Thawing

Contact Info

Product

Resources

About