Guoshao Su
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View article: Study on phase-Transition-Like characteristics and volume expansion model of weakly consolidated sandstone under triaxial cyclic loading and unloading
Study on phase-Transition-Like characteristics and volume expansion model of weakly consolidated sandstone under triaxial cyclic loading and unloading Open
View article: Multi-directional disturbance effect of shear mechanical behaviors and fracturing mechanisms of rockmass intermittent structural plane under true triaxial shear test
Multi-directional disturbance effect of shear mechanical behaviors and fracturing mechanisms of rockmass intermittent structural plane under true triaxial shear test Open
After the excavation of deep mining tunnels and underground caverns, the stability of surrounding rock controlled by structural planes is prone to structural damage and even engineering disasters due to three-dimensional stress redistribut…
View article: Characteristics of Microseismic Generated During Shear Failure of Granite With Structural Plane of Various Connectivities
Characteristics of Microseismic Generated During Shear Failure of Granite With Structural Plane of Various Connectivities Open
The structural plane significantly changes the rock failure behavior. The connectivity of the structural plane generally varies for the rocks in different engineering practices or rock environments. In this manuscript, a series of direct s…
View article: Quantitative Risk Assessment of Tunnel Collapse in Layered Rock Mass: A Stochastic Field-Grid Mapping Approach with Composite Failure Criteria
Quantitative Risk Assessment of Tunnel Collapse in Layered Rock Mass: A Stochastic Field-Grid Mapping Approach with Composite Failure Criteria Open
View article: <scp>TRX</scp> h2–<scp>PP2AC2</scp> module serves as a convergence node for aluminum stress and leaf senescence signals, regulating cell death via <scp>ABA</scp>‐mediated <scp>ROS</scp> pathway
<span>TRX</span> h2–<span>PP2AC2</span> module serves as a convergence node for aluminum stress and leaf senescence signals, regulating cell death via <span>ABA</span>‐mediated <span>ROS</span> pathway Open
SUMMARY ROS/redox signaling plays an important role in the regulation of signal transduction and acclimation pathways activated by multiple abiotic stresses and leaf senescence. However, the regulatory events that produce ROS under differe…
View article: Shear failure behaviors and degradation mechanical model of rockmass under true triaxial multi-level loading and unloading shear tests
Shear failure behaviors and degradation mechanical model of rockmass under true triaxial multi-level loading and unloading shear tests Open
The redistribution of three-dimensional (3D) geostress during underground tunnel excavation can easily induce to shear failure along rockmass structural plane, potentially resulting in engineering disasters. However, the current understand…
View article: Improved damage constitutive modeling of post-peak random failure behavior in quasi-brittle rocks
Improved damage constitutive modeling of post-peak random failure behavior in quasi-brittle rocks Open
This paper captures the frequently encountered post-peak random failure behaviour of quasi-brittle rocks in conventional triaxial compression. The post-peak theoretical curve of the classic statistical damage constitutive model is essentia…
View article: Modeling the Rock Block Ejection Process During Rockburst Using the 2d Block Discrete Element Method
Modeling the Rock Block Ejection Process During Rockburst Using the 2d Block Discrete Element Method Open
View article: Experimental Research on Evolutionary Characteristics and Damage Identification of the Spalling Process of Granodiorite Based on Acoustic Emission
Experimental Research on Evolutionary Characteristics and Damage Identification of the Spalling Process of Granodiorite Based on Acoustic Emission Open
View article: Experimental study on the failure characteristic and mechanism of granite time-delayed rockburst under true triaxial condition
Experimental study on the failure characteristic and mechanism of granite time-delayed rockburst under true triaxial condition Open
A series of tests for time-delayed rockburst of granite under true triaxial condition was designed and carried out. By using the true triaxial rockburst test system, an acoustic emission (AE) system, a high-speed camera system, and a digit…
View article: Rock Crack Types Identification by Machine Learning on the Sound Signal
Rock Crack Types Identification by Machine Learning on the Sound Signal Open
Sound signals generated during rock failure contain useful information about crack development. A sound-signal-based identification method for crack types is proposed. In this method, the sound signals of tensile cracks, using the Brazilia…
View article: Machine learning classifier-based dynamic surrogate model for structural reliability analysis
Machine learning classifier-based dynamic surrogate model for structural reliability analysis Open
The performance functions of large-scale complex structures are often implicit and nonlinear, which leads to problems such as high computational costs and low computational accuracy in reliability calculation. In this regard, a dynamic mac…
View article: Spalling failure of deep hard rock caverns
Spalling failure of deep hard rock caverns Open
Spalling is a typical brittle failure phenomenon of hard rock in deep caverns under high geostress. In this study, key issues are systematically studied concerning the spalling failure of deep hard rock caverns. First, the prismatic rock s…
View article: Improved Permeability Calculation Method for Standstone Based on Digital Core Image Fusion Reconstruction
Improved Permeability Calculation Method for Standstone Based on Digital Core Image Fusion Reconstruction Open
View article: Efficient Permeability Prediction in Sandstone Using 3d Microscopy and Morphological Analysis
Efficient Permeability Prediction in Sandstone Using 3d Microscopy and Morphological Analysis Open
View article: A Grasshopper Optimization Algorithm-Based Response Surface Method for Non-Probabilistic Structural Reliability Analysis with an Implicit Performance Function
A Grasshopper Optimization Algorithm-Based Response Surface Method for Non-Probabilistic Structural Reliability Analysis with an Implicit Performance Function Open
Non-probabilistic reliability analysis has great developmental potential in the field of structural reliability analysis, as it is often difficult to obtain enough samples to construct an accurate probability distribution function of rando…
View article: Experimental Investigation on Influence of Acidic Dry-Wet Cycles on Karst Limestone Deterioration and Damage
Experimental Investigation on Influence of Acidic Dry-Wet Cycles on Karst Limestone Deterioration and Damage Open
This study is aimed at the problem of limestone deterioration and damage caused by the combination of acid rain and the dry-wet cycle in Guilin. Samples of limestone were taken to study the influence of acidic dry-wet cycles on limestone d…
View article: Strength Degradation Characteristics of the Steel-Concrete Interface Under Cyclic Shear
Strength Degradation Characteristics of the Steel-Concrete Interface Under Cyclic Shear Open
The shear capacity of the steel-concrete interface (SCI) of concrete-filled steel tubular piles (CFSTs) degrades due to the cyclic shear action of external loading and unloading and can result in a reduction in the bearing capacity. To exp…
View article: A Novel Support-Vector-Machine-Based Grasshopper Optimization Algorithm for Structural Reliability Analysis
A Novel Support-Vector-Machine-Based Grasshopper Optimization Algorithm for Structural Reliability Analysis Open
Aiming at the characteristics of high computational cost, implicit expression and high nonlinearity of performance functions corresponding to large and complex structures, this paper proposes a support-vector-machine- (SVM) based grasshopp…
View article: An Intelligent Optimization Back-Analysis Method for Geomechanical Parameters in Underground Engineering
An Intelligent Optimization Back-Analysis Method for Geomechanical Parameters in Underground Engineering Open
The geomechanical parameters in underground engineering are usually difficult to determine, which can pose great obstacles in underground engineering. A novel displacement back-analysis method is proposed to determine the geomechanical par…
View article: Quantitative Risk Analysis of Tunnel Instability in Layered Rock Mass Considering the Spatial Variability of Elastic Modulus
Quantitative Risk Analysis of Tunnel Instability in Layered Rock Mass Considering the Spatial Variability of Elastic Modulus Open
Layered rock mass is a typical excavation disturbance sensitive rock mass, which is prone to the large deformation and collapse of soft rock mass under tunnel unloading. This in turn causes the construction safety risk and delays the proje…
View article: Study on supporting time of tunnel lining in thin-layered rock mass
Study on supporting time of tunnel lining in thin-layered rock mass Open
The thin-layered rock mass of Baokang tunnel has the characteristics of large deformation and failure of soft rock under the excavation unloading. More seriously, a serious question is that the lining cracking is prominent. The cause of th…
View article: Failure characteristics of surrounding rocks along the radial direction of underground excavations: An experimental study
Failure characteristics of surrounding rocks along the radial direction of underground excavations: An experimental study Open
For the in situ surrounding rocks of underground excavations, the radial stress corresponding to the minimum principal stress σ3 varies with increasing distance away from the excavated boundary. To characterize the rock failure along the r…
View article: A Novel Intelligent Method for Predicting the Penetration Rate of the Tunnel Boring Machine in Rocks
A Novel Intelligent Method for Predicting the Penetration Rate of the Tunnel Boring Machine in Rocks Open
In the construction of rock tunnels, the penetration rate of the tunnel boring machine (TBM) is influenced by many factors (e.g., geomechanical parameters), some of which are highly uncertain. It is difficult to establish a precise model f…
View article: Rockburst characteristics of several hard brittle rocks: A true triaxial experimental study
Rockburst characteristics of several hard brittle rocks: A true triaxial experimental study Open
Rockburst is a typical rock failure which frequently threatens both human life and construction equipment during highly stressed underground excavation. Rock lithology is a control factor of rockburst. In this paper, rockburst tests were c…
View article: Uncertain Prediction for Slope Displacement Time-Series Using Gaussian Process Machine Learning
Uncertain Prediction for Slope Displacement Time-Series Using Gaussian Process Machine Learning Open
The Gaussian process regression (GPR) model, which is a powerful machine learning tool for probabilistic prediction, is introduced into slope displacement prediction. Using this model, the displacements of the slope of the permanent ship l…
View article: Gaussian Process‐Based Response Surface Method for Slope Reliability Analysis
Gaussian Process‐Based Response Surface Method for Slope Reliability Analysis Open
A new response surface method (RSM) for slope reliability analysis was proposed based on Gaussian process (GP) machine learning technology. The method involves the approximation of limit state function by the trained GP model and estimatio…
View article: Experimental Study of Influence of Support Failures on Rockbursts under True‐Triaxial Condition
Experimental Study of Influence of Support Failures on Rockbursts under True‐Triaxial Condition Open
Supports can effectively reinforce the surrounding rock after excavation in underground engineering. However, a support failure may cause an extremely intense rockburst. Hence, the influences of support failures, including support forces, …
View article: DEA optimization for operating tunnel back analysis
DEA optimization for operating tunnel back analysis Open
운영 중 터널의 역해석을 통한 안정성 평가는 다루기 어려운 개념이다. 특히, 해저터널처럼 라이닝이 상대적으로 두껍게 시공된 경우에 발생하는 내공변위가 작기 때문에, 일반적으로 터널 역해석에 사용되는 변위 기반의 터널 역해석에는 한계가 있을 것으로 판단된다. 여기서는 FLAC3D 프로그램에 내장된 FISH 언어를 사용해서, 다양한 역해석 알고리즘 중에 차분진화 알고리즘의 구축을 통한 터널 역해석에 대한 적용성을 확인하였다. 또…
View article: Coastline Identification from Remote-sensing Image Using Informative Vector Machine Learning
Coastline Identification from Remote-sensing Image Using Informative Vector Machine Learning Open
For a more rapid and accurate coastline identification method, this paper presents a method of coastline identification on remote-sensing image using Informative Vector Machine and then the coastline of Beihai Silver Beach in Guangxi has b…