[HTML][HTML] Prediction of compressive strength of rice husk ash concrete: A comparison of different metaheuristic algorithms for optimizing support vector regression
Y Huang, Y Lei, X Luo, C Fu - Case Studies in Construction Materials, 2023 - Elsevier
Concrete made from rice husk ash (RHA) is stronger and more durable than normal
concrete. It can also help reduce greenhouse gas emissions. A feasible prediction model to …
concrete. It can also help reduce greenhouse gas emissions. A feasible prediction model to …
Estimating dynamic compressive strength of rock subjected to freeze-thaw weathering by data-driven models and non-destructive rock properties
The dynamic compressive strength (DCS) of frozen-thawed rock influences the stability of
rock mass in cold regions, especially when rock masses are possibly disturbed by dynamic …
rock mass in cold regions, especially when rock masses are possibly disturbed by dynamic …
Assessment of uniaxial strength of rocks: A critical comparison between evolutionary and swarm optimized relevance vector machine models
The present study compares the evolutionary and swarm-optimized relevance vector
machine (RVM) models to find the optimal model for computing rocks' uniaxial compressive …
machine (RVM) models to find the optimal model for computing rocks' uniaxial compressive …
[HTML][HTML] Predicting dynamic compressive strength of frozen-thawed rocks by characteristic impedance and data-driven methods
In cold regions, the dynamic compressive strength (DCS) of rock damaged by freeze-thaw
weathering significantly influences the stability of rock engineering. Nevertheless, testing the …
weathering significantly influences the stability of rock engineering. Nevertheless, testing the …
Prediction of uniaxial strength of rocks using relevance vector machine improved with dual kernels and metaheuristic algorithms
The uniaxial compressive strength (UCS) is an essential parameter to study rock
characteristics, determined by direct and indirect methods. However, the direct methods of …
characteristics, determined by direct and indirect methods. However, the direct methods of …
Prediction of tool wear in milling process based on BP neural network optimized by firefly algorithm
YN Cheng, YB Jin, XY Gai, R Guan… - Proceedings of the …, 2024 - journals.sagepub.com
Long-time discontinuous contact is easy to cause tool wear during milling. To decrease the
impact of severe wear on workpiece quality and processing efficiency, cutting tools should …
impact of severe wear on workpiece quality and processing efficiency, cutting tools should …
Hybrid Machine-Learning-Based Prediction Model for the Peak Dilation Angle of Rock Discontinuities
S Xie, R Yao, Y Yan, H Lin, P Zhang, Y Chen - Materials, 2023 - mdpi.com
The peak dilation angle is an important mechanical feature of rock discontinuities, which is
significant in assessing the mechanical behaviour of rock masses. Previous studies have …
significant in assessing the mechanical behaviour of rock masses. Previous studies have …
[PDF][PDF] Uniaxial Compressive Strength Prediction for Rock Material in Deep Mine Using Boosting-Based Machine Learning Methods and Optimization Algorithms.
J Zhao, D Li, J Jiang, P Luo - CMES-Computer Modeling in …, 2024 - cdn.techscience.cn
Traditional laboratory tests for measuring rock uniaxial compressive strength (UCS) are
tedious and timeconsuming. There is a pressing need for more effective methods to …
tedious and timeconsuming. There is a pressing need for more effective methods to …
Comprehensive study on the Python-based regression machine learning models for prediction of uniaxial compressive strength using multiple parameters in …
S Kochukrishnan, P Krishnamurthy, N Kaliappan - Scientific Reports, 2024 - nature.com
The strength of rock under uniaxial compression, commonly known as Uniaxial
Compressive Strength (UCS), plays a crucial role in various geomechanical applications …
Compressive Strength (UCS), plays a crucial role in various geomechanical applications …
Triaxial compression strength prediction of fissured rocks in deep-buried coal mines based on an improved back propagation neural network model
Y Wang, B Tang, W Tao, A Yuan, T Li, Z Liu, F Zhang… - Processes, 2023 - mdpi.com
In deep coal mine strata, characterized by high ground stress and extensive fracturing,
predicting the strength of fractured rock masses is crucial for stability analysis of the …
predicting the strength of fractured rock masses is crucial for stability analysis of the …