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Jun Yeong Kim, Chang Geun Song, Jung Lee, Jong-Hyun Kim, Jong Wan Lee and Sun-Jeong Kim
In this paper, we propose a learning model for tracking the isolines of fluid based on the physical properties of particles in particle-based fluid simulations. Our method involves analyzing which weights, closely related to surface tracking among the va...
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Chunlin Zhong, Kangsheng Xue, Yakun Wang, Peng Luo and Xiaobo Liu
Understanding the fluid pattern is of special significance for estimating the hydraulic conductivity of fractured rock masses. The nonlinearity of fluid flow in discrete fracture networks (DFNs) originates from inertial effects and is enhanced by complex...
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Yuxuan Gao, Wei Xiong and Chenhao Wang
Dam operation is regarded as an effective way to increase water, food, and energy security for society. However, with the increasing water demand and frequent extreme droughts, numerous rivers worldwide go through periods of water scarcity and water ecos...
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Pin Wu, Lulu Ji, Wenyan Yuan, Zhitao Liu and Tiantian Tang
The push-plate kiln is a kind of kiln equipment widely used in the oxygen-free sintering of high-temperature alloy materials. Its flow field monitoring has an important application value for the manufacturing industry. However, traditional simulation met...
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Syamak Pazireh and Jeffrey J. Defoe
Body force models of fans and compressors are widely employed for predicting performance due to the reduction in computational cost associated with their use, particularly in nonuniform inflows. Such models are generally divided into a portion responsibl...
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Wen Liu, Yankui Sun and Qingge Ji
Optical coherence tomography (OCT) is an optical high-resolution imaging technique for ophthalmic diagnosis. In this paper, we take advantages of multi-scale input, multi-scale side output and dual attention mechanism and present an enhanced nested U-Net...
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Yang Zhang, Xudong Zheng and Qian Xue
This paper proposes a machine-learning based reduced-order model that can provide fast and accurate prediction of the glottal flow during voice production. The model is based on the Bernoulli equation with a viscous loss term predicted by a deep neural n...
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Yue Zhang, Yuhan Men and Pu Han
Under the conditions of high demand for energy saving and environmental protection, the thermal power unit is required to phase out the traditional extensive operation mode?a method of oxygen-enriched combustion in a furnace, considering safety first. Ac...
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Arman Haghighi, Mostafa Safdari Shadloo, Akbar Maleki and Mohammad Yaghoub Abdollahzadeh Jamalabadi
Numerous studies have proposed to correlate experimental results, however there are still significant errors in those predictions. In this study, an artificial neural network (ANN) is considered for a two-phase flow pressure drop in microchannels incorpo...
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Zhaobin Zhang, Xiao Li and Jianming He
Pág. 1 - 14
As hydraulic fracturing is a fluid-rock coupling process, the permeability of the hydraulic-stimulated fracture network in the initial stage has great effects on the propagation of the hydraulic fracture network in the following stages. In this work, the...
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Zhaobin Zhang, Xiao Li and Jianming He
As hydraulic fracturing is a fluid-rock coupling process, the permeability of the hydraulic-stimulated fracture network in the initial stage has great effects on the propagation of the hydraulic fracture network in the following stages. In this work, the...
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Xinyue Lan, Liyue Wang, Cong Wang, Gang Sun, Jinzhang Feng and Miao Zhang
In this research, we introduce a deep-learning-based framework designed for the prediction of transonic flow through a linear cascade utilizing large-scale point-cloud data. In our experimental cases, the predictions demonstrate a nearly four-fold speed ...
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Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen and Fei Ma
Machine Learning (ML) and/or Deep Learning (DL) methods can be used to predict fluid flow in porous media, as a suitable replacement for classical numerical approaches. Such data-driven approaches attempt to learn mappings between finite-dimensional Eucl...
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Hao Chen, Weikun Li, Weicheng Cui, Ping Yang and Linke Chen
Biomimetic robotic fish systems have attracted huge attention due to the advantages of flexibility and adaptability. They are typically complex systems that involve many disciplines. The design of robotic fish is a multi-objective multidisciplinary desig...
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Viviana Olivares,Jose Cembrano,Gloria Arancibia,Nicolas Reyes,Veronica Herrera,Daniel Faulkner
Pág. 473 - 497
The Caleta Coloso Duplex is a brittle strike-slip structure developed along the Atacama Fault System during the Early Cretaceous. A hydrothermal vein system existing within the duplex documents the nature of the link between fluid transport and progressi...
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Cunfei Ma, Xianxu Fang, Xiaonan Ma, Xiantai Liu, Bingkun Xu and Xinmin Ge
By combining thermal simulation experiments with core data, thin sections, scanning electron microscopy (SEM), source rock, and high-pressure mercury and gas adsorption analysis, this paper evaluates the properties and models of shale reservoirs in the u...
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Tian Wang, Zhenbo Liu, Jixing Li, Yu Liu, Xingyu Ma and Jiong Yang
Manually preparing the data for the analysis of the calculation of a pipe network of air-cooled turbine blades is inefficient. In this paper, a method to adaptively divide the blade model and extract data of the flow units is proposed. In this method, th...
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Claire Bossennec, Matthis Frey, Lukas Seib, Kristian Bär and Ingo Sass
For an accurate multiscale property modelling of fractured crystalline geothermal reservoirs, an enhanced characterisation of the geometrical features and variability of the fracture network properties is an essential prerequisite. Combining regional dig...
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Kai Xu, Gang Wang, Luyao Zhang, Liquan Wang, Feihong Yun, Wenhao Sun, Xiangyu Wang and Xi Chen
In this study, an annular jet pump optimization method is proposed based on an RBF(Radial Basis Function) neural network model and NSGA-II(Non-Dominated Sorting Genetic Algorithm) optimization algorithm to improve the hydraulic performance of the annular...
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Michelina Catauro, Simona Piccolella and Cristina Leonelli
Silica/polycaprolactone and titania/polycaprolactone hybrid organic/inorganic amorphous composites were prepared via a sol-gel method starting from a multi-element solution containing tetramethyl orthosilicate (TMOS) or titanium butoxide (TBT), polycapro...
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