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New Calculation Software for Analytic Support Structure Optimization in Metal Additive Manufacturing
Powder based additive manufacturing systems often require support structures for overhanging geometries and thermal dissipation. On the one hand, the...
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Optimization of anchorage support parameters for soft rock tunnel based on displacement control theory
In the construction of a soft rock tunnel, it is critical to accurately estimate the pre-stressed anchor support parameters for surrounding rock...
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Support Vector Machine to Predict the Pile Settlement using Novel Optimization Algorithm
Project Immunization, like piled construction, requires considerations that make them safe during the period of operation. Pile Settlement (PS), a...
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Comparison of debris flow susceptibility assessment methods: support vector machine, particle swarm optimization, and feature selection techniques
The selection of important factors in machine learning-based susceptibility assessments is crucial to obtain reliable susceptibility results. In this...
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Optimization and energy consumption analyses of the support system of a super large deep foundation pit in the **'an Metro
The goal of this study is to promote the development of high-quality energy and emission reduction measures for super large deep foundation pits...
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Toward the reliable prediction of reservoir landslide displacement using earthworm optimization algorithm-optimized support vector regression (EOA-SVR)
Reliable prediction of reservoir displacement is essential for practical applications. Machine learning offers an attractive and accessible set of...
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Forecasting Face Support Pressure During EPB Shield Tunneling in Soft Ground Formations Using Support Vector Regression and Meta-heuristic Optimization Algorithms
One of the crucial tasks during the EPB shield tunnelling is estimating the optimum tunnel face pressure (FP), which ensures self-drilling safety,...
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Prediction of Depth-Averaged Velocity for Flow Though Submerged Vegetation Using Least Squares Support Vector Machine with Bayesian Optimization
Considering the limited accuracy of classical empirical formulas and traditional Machine Learning (ML) models for predicting the depth-averaged...
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Roof Stability Mechanism and Support Technology Optimization of Tunneling Roadway
To study the stability of roof areas in the process of rapid driving in coal roadways, the deformation law of roof areas under the interaction of...
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Prediction of Flyrock Distance in Surface Mining Using a Novel Hybrid Model of Harris Hawks Optimization with Multi-strategies-based Support Vector Regression
To weaken and control effectively the harm of flyrock in open-pit mines, this study aimed to develop a novel Harris hawks optimization with...
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Study on the Optimization of Support Parameters of Metro Station Constructed by Arch Cover Method
The arch is the main stress structure of metro station in the construction of arch cover method. The preliminary geological survey has some...
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Ground fissure susceptibility map** based on factor optimization and support vector machines
For the purpose of batter evaluating ground fissure susceptibility (GFS), this study developed a hybrid model based on factor optimization and...
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An enhanced monthly runoff forecasting using least squares support vector machine based on Harris hawks optimization and secondary decomposition
Accurate and reliable monthly runoff predictions are crucial for dispatching, allocation, and planning management of water resources. This research...
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A support vector machine model of landslide susceptibility map** based on hyperparameter optimization using the Bayesian algorithm: a case study of the highways in the southern Qinghai–Tibet Plateau
Recent advancements have seen a pervasive application of machine learning methodologies in assessing the susceptibility of geological hazards. A...
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Hybrid model of support vector regression and innovative gunner optimization algorithm for estimating ski-jump spillway scour depth
Scour hole that occurs downstream of the hydraulic structures threatens the safety and stability of the hydraulic structures. The scour around the...
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Forecasting Groundwater Levels using a Hybrid of Support Vector Regression and Particle Swarm Optimization
Forecasting the groundwater level is crucial to managing water resources supply sustainably. In this study, a simulation–optimization hybrid model...
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Support-vector regression accelerated well location optimization: algorithm, validation, and field testing
We have developed a machine-learning (ML) accelerated optimization method for challenging real-life well-location optimization (WLO) applications....
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Hybrid Metaheuristic Optimization Algorithms with Least-Squares Support Vector Machine and Boosted Regression Tree Models for Prediction of Air-Blast Due to Mine Blasting
After each blasting operation in surface mines, undesirable environmental impacts, such as air-blast (AB) and ground vibration, are inevitable....
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Stability Evaluation Method and Support Structure Optimization of Weak and Fractured Slate Tunnel
In order to solve the problems of large deformation and cracking of the fractured slate tunnel lining, a tunnel stability evaluation method that can...
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Support scheme optimization aimed at the asymmetric deformation of the supported rock in a deep tunnel
Roadways constructed in deep inclined strata often develop severe asymmetric deformations. This study seeks to understand the factors and laws...
