Results 61 to 70 of about 458 (163)
A prediction model of the joint roughness coefficient based on Gaussian process regression
Objective Estimating the joint roughness coefficient (JRC) is essential for evaluating the mechanical properties of a rock mass. Due to the limitation of a single statistical parameter for characterizing morphology, JRC values estimation by a single ...
Kexin ZHENG +4 more
doaj +1 more source
Organic Carbon and Texture Control Moisture Dependence of Soil Shortwave Infrared Reflectance
ABSTRACT Moisture content affects soil reflectance in the optical domain (400–2500 nm), acting as a confounding factor in soil property prediction models. Soil reflectance needs to be simulated efficiently for varying levels of soil moisture, in order to aid soil property prediction efforts and inform physical land surface models.
D. Hick +3 more
wiley +1 more source
Experimental Study on Stress Wave Propagation Crossing the Jointed Specimen with Different JRCs
Most of the rock masses in the outer crust of the Earth are discontinuous. They are divided by joints, faults, fractures, etc. And those discontinuities, generally referred to as joints, greatly affect the property of the rock masses.
S.N. Hong, H.B. Li, L.F. Rong
doaj +1 more source
Environmental and Ecological Monitoring with Biodegradable Technologies
This review examines the development and application of wireless biodegradable sensors for environmental monitoring. It explores (bio)degradable materials, their degradation mechanisms in various environments, and non‐toxic fabrication techniques. Additionally, it addresses scalable production and sustainable powering solutions, emphasizing the high ...
Mohammad Javad Bathaei +7 more
wiley +1 more source
Modeling the Spatial Interplay Between Migration and Environmental Conditions
ABSTRACT The measurement and modeling of migration patterns and potential drivers are often limited by the quality of spatial data at local levels. Our aim is to address these constraints by advantaging of consolidated techniques in geospatial regression and emerging machine‐learning approaches to explore how selected contextual socio‐economic and ...
Daniela Ghio +6 more
wiley +1 more source
A new spectral analysis method for determining the joint roughness coefficient of rock joints
We propose a new spectral analysis method for accurate JRC determination. To do this, we first propose an average power index Pf to present the amplitude height of a rock joint profile, which considers both the low and high-frequency components of the ...
Karakus, M., Wang, C., Wang, L.
core +1 more source
ABSTRACT A new model for the simulation of fluid flow through rough cracks is presented. The model combines a probabilistic cut finite element method (PCutFEM) to capture the unfitted boundary condition at the fluid interface, with a stochastic random field generator to represent the crack asperities.
Brubeck Lee Freeman +5 more
wiley +1 more source
Expression and Analysis of Joint Roughness Coefficient Using Neutrosophic Number Functions [PDF]
In nature, the mechanical properties of geological bodies are very complex, and its various mechanical parameters are vague, incomplete, imprecise, and indeterminate.
Jun Ye, Jiqian Chen, Shigui Du, Rui Yong
core +1 more source
Joint Roughness Coefficient JRC and Subjectivity in its Determination [PDF]
This bachelor thesis focuses on the Joint Roughness Coefficient (JRC), a key parameter in evaluating the shear strength of rock discontinuities and, consequently, the stability of rock masses. The thesis provides an overview of the development of the JRC
Šilínková, Natálie
core
This study validates the Fuzzy Safety Model (FSM) as a tool for classifying the difficulty of vehicle cut‐in scenarios, supporting its role in Automated Lane Keeping Systems (ALKS) safety assessments. Results from a test campaign demonstrate the FSM's effectiveness in categorising preventable cases and its broader applicability in enhancing automated ...
Sandor Vass +7 more
wiley +1 more source

