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Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute
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The present book contains 14 articles that were accepted for publication in the Special Issue “Numerical Computation, Data Analysis and Software in Mathematics and Engineering” of the MDPI journal Mathematics. The topics of these articles include the aspects of the meshless method, numerical simulation, mathematical models, deep learning and data analysis. Meshless methods, such as the improved element-free Galerkin method, the dimension-splitting, interpolating, moving, least-squares method, the dimension-splitting, generalized, interpolating, element-free Galerkin method and the improved interpolating, complex variable, element-free Galerkin method, are presented. Some complicated problems, such as tge cold roll-forming process, ceramsite compound insulation block, crack propagation and heavy-haul railway tunnel with defects, are numerically analyzed. Mathematical models, such as the lattice hydrodynamic model, extended car-following model and smart helmet-based PLS-BPNN error compensation model, are proposed. The use of the deep learning approach to predict the mechanical properties of single-network hydrogel is presented, and data analysis for land leasing is discussed. This book will be interesting and useful for those working in the meshless method, numerical simulation, mathematical model, deep learning and data analysis fields.
Information technology industries --- cold-roll forming --- longitudinal strain --- cubic spline function --- cumulative chord --- elastic-plastic problem --- complex variable meshless method --- interpolating shape function --- singular weight function --- complete basis function --- mathematical model --- leased price --- total leased area --- data analysis --- residential land --- Beijing --- meshless method --- dimension splitting-interpolating moving least squares (DS-IMLS) method --- improved interpolating element-free Galerkin (IEFG) method --- potential problem --- traffic flow --- two-dimensional lattice hydrodynamic model --- driver's predictive effect --- finite element method --- alkali-activated slag ceramsite compound insulation block --- ANSYS CFX --- thermal and mechanical performances --- indoor thermal environment --- dimension splitting method --- dimension splitting generalized interpolating element-free Galerkin method --- convection-diffusion-reaction problem --- deep learning --- hydrogel network --- mechanical property --- convolutional neural network --- self-avoiding walk --- personnel health monitoring --- construction site management --- smart helmet --- infrared temperature measurement --- temperature error compensation --- BP neural network --- COVID-19 --- peridynamics --- dual-horizon --- crack propagation --- variable horizon --- multi-grid --- car-following model --- visual angle model --- electronic throttle angle --- stability analysis --- heavy haul --- railway tunnel --- basement structure --- dynamic response characteristics --- defects --- the lattice hydrodynamic model --- control signal --- strong wind --- optimal estimation of flux difference integral --- improved element-free Galerkin method --- Helmholtz equation --- penalty method --- improved moving least-squares approximation --- cold-roll forming --- longitudinal strain --- cubic spline function --- cumulative chord --- elastic-plastic problem --- complex variable meshless method --- interpolating shape function --- singular weight function --- complete basis function --- mathematical model --- leased price --- total leased area --- data analysis --- residential land --- Beijing --- meshless method --- dimension splitting-interpolating moving least squares (DS-IMLS) method --- improved interpolating element-free Galerkin (IEFG) method --- potential problem --- traffic flow --- two-dimensional lattice hydrodynamic model --- driver's predictive effect --- finite element method --- alkali-activated slag ceramsite compound insulation block --- ANSYS CFX --- thermal and mechanical performances --- indoor thermal environment --- dimension splitting method --- dimension splitting generalized interpolating element-free Galerkin method --- convection-diffusion-reaction problem --- deep learning --- hydrogel network --- mechanical property --- convolutional neural network --- self-avoiding walk --- personnel health monitoring --- construction site management --- smart helmet --- infrared temperature measurement --- temperature error compensation --- BP neural network --- COVID-19 --- peridynamics --- dual-horizon --- crack propagation --- variable horizon --- multi-grid --- car-following model --- visual angle model --- electronic throttle angle --- stability analysis --- heavy haul --- railway tunnel --- basement structure --- dynamic response characteristics --- defects --- the lattice hydrodynamic model --- control signal --- strong wind --- optimal estimation of flux difference integral --- improved element-free Galerkin method --- Helmholtz equation --- penalty method --- improved moving least-squares approximation
Book
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
The Special Issue “Assessment and Nonlinear Modeling of Wave, Tidal, and Wind Energy Converters and Turbines” contributes original research to stimulate the continuing progress of the offshore renewable energy (ORE) field, with a focus on state-of-the-art numerical approaches developed for the design and analysis of ORE devices. Particularly, this collection provides new methodologies, analytical/numerical tools, and theoretical methods that deal with engineering problems in the ORE field of wave, wind, and current structures. This Special Issue covers a wide range of multidisciplinary aspects, such as the 1) study of generalized interaction wake model systems with elm variation for offshore wind farms; 2) a flower pollination method based on global maximum power point tracking strategy for point-absorbing type wave energy converters; 3) performance optimization of a Kirsten–Boeing turbine using a metamodel based on neural networks coupled with CFD; 4) proposal of a novel semi-submersible floating wind turbine platform composed of inclined columns and multi-segmented mooring lines; 5) reduction of tower fatigue through blade back twist and active pitch-to-stall control strategy for a semi-submersible floating offshore wind turbine; 6) assessment of primary energy conversion of a closed-circuit OWC wave energy converter; 7) development and validation of a wave-to-wire model for two types of OWC wave energy converters; 8) assessment of a hydrokinetic energy converter based on vortex-induced angular oscillations of a cylinder; 9) application of wave-turbulence decomposition methods on a tidal energy site assessment; 10) parametric study for an oscillating water column wave energy conversion system installed on a breakwater; 11) optimal dimensions of a semisubmersible floating platform for a 10 MW wind turbine; 12) fatigue life assessment for power cables floating in offshore wind turbines.
History of engineering & technology --- off-shore wind farms (OSWFs) --- wake model --- wind turbine (WT) --- Extreme Learning Machine (ELM) --- wind power (WP) --- large-eddy simulation (LES) --- point-absorbing --- wave energy converter (WEC) --- maximum power point tracking (MPPT) --- flower pollination algorithm (FPA) --- power take-off (PTO) --- hill-climbing method --- Kirsten–Boeing --- vertical axis turbine --- optimization --- neural nets --- Tensorflow --- ANSYS CFX --- metamodeling --- FOWT --- multi-segmented mooring line --- inclined columns --- semi-submersible --- AFWT --- floating offshore wind turbine (FOWT) --- pitch-to-stall --- blade back twist --- tower fore–aft moments --- negative damping --- blade flapwise moment --- tower axial fatigue life --- wave energy --- oscillating water column --- tank testing --- valves --- air compressibility --- air turbine --- wave-to-wire model --- energy harnessing --- energy converter --- flow-induced oscillations --- vortex-induced vibration --- flow–structure interaction --- hydrodynamics --- vortex shedding --- cylinder wake --- tidal energy --- site assessment --- wave-current interaction --- turbulence --- integral length scales --- wave-turbulence decomposition --- OWC --- wave power converting system --- parametric study --- caisson breakwater application --- floating offshore wind turbines --- frequency domain model --- semisubmersible platform --- 10 MW wind turbines --- large floating platform --- platform optimization --- wind energy --- floating offshore wind turbine --- dynamic analysis --- fatigue life assessment --- flexible power cables --- off-shore wind farms (OSWFs) --- wake model --- wind turbine (WT) --- Extreme Learning Machine (ELM) --- wind power (WP) --- large-eddy simulation (LES) --- point-absorbing --- wave energy converter (WEC) --- maximum power point tracking (MPPT) --- flower pollination algorithm (FPA) --- power take-off (PTO) --- hill-climbing method --- Kirsten–Boeing --- vertical axis turbine --- optimization --- neural nets --- Tensorflow --- ANSYS CFX --- metamodeling --- FOWT --- multi-segmented mooring line --- inclined columns --- semi-submersible --- AFWT --- floating offshore wind turbine (FOWT) --- pitch-to-stall --- blade back twist --- tower fore–aft moments --- negative damping --- blade flapwise moment --- tower axial fatigue life --- wave energy --- oscillating water column --- tank testing --- valves --- air compressibility --- air turbine --- wave-to-wire model --- energy harnessing --- energy converter --- flow-induced oscillations --- vortex-induced vibration --- flow–structure interaction --- hydrodynamics --- vortex shedding --- cylinder wake --- tidal energy --- site assessment --- wave-current interaction --- turbulence --- integral length scales --- wave-turbulence decomposition --- OWC --- wave power converting system --- parametric study --- caisson breakwater application --- floating offshore wind turbines --- frequency domain model --- semisubmersible platform --- 10 MW wind turbines --- large floating platform --- platform optimization --- wind energy --- floating offshore wind turbine --- dynamic analysis --- fatigue life assessment --- flexible power cables
Book
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
The present book contains 14 articles that were accepted for publication in the Special Issue “Numerical Computation, Data Analysis and Software in Mathematics and Engineering” of the MDPI journal Mathematics. The topics of these articles include the aspects of the meshless method, numerical simulation, mathematical models, deep learning and data analysis. Meshless methods, such as the improved element-free Galerkin method, the dimension-splitting, interpolating, moving, least-squares method, the dimension-splitting, generalized, interpolating, element-free Galerkin method and the improved interpolating, complex variable, element-free Galerkin method, are presented. Some complicated problems, such as tge cold roll-forming process, ceramsite compound insulation block, crack propagation and heavy-haul railway tunnel with defects, are numerically analyzed. Mathematical models, such as the lattice hydrodynamic model, extended car-following model and smart helmet-based PLS-BPNN error compensation model, are proposed. The use of the deep learning approach to predict the mechanical properties of single-network hydrogel is presented, and data analysis for land leasing is discussed. This book will be interesting and useful for those working in the meshless method, numerical simulation, mathematical model, deep learning and data analysis fields.
Information technology industries --- cold-roll forming --- longitudinal strain --- cubic spline function --- cumulative chord --- elastic–plastic problem --- complex variable meshless method --- interpolating shape function --- singular weight function --- complete basis function --- mathematical model --- leased price --- total leased area --- data analysis --- residential land --- Beijing --- meshless method --- dimension splitting–interpolating moving least squares (DS-IMLS) method --- improved interpolating element-free Galerkin (IEFG) method --- potential problem --- traffic flow --- two-dimensional lattice hydrodynamic model --- driver’s predictive effect --- finite element method --- alkali-activated slag ceramsite compound insulation block --- ANSYS CFX --- thermal and mechanical performances --- indoor thermal environment --- dimension splitting method --- dimension splitting generalized interpolating element-free Galerkin method --- convection–diffusion–reaction problem --- deep learning --- hydrogel network --- mechanical property --- convolutional neural network --- self-avoiding walk --- personnel health monitoring --- construction site management --- smart helmet --- infrared temperature measurement --- temperature error compensation --- BP neural network --- COVID-19 --- peridynamics --- dual-horizon --- crack propagation --- variable horizon --- multi-grid --- car-following model --- visual angle model --- electronic throttle angle --- stability analysis --- heavy haul --- railway tunnel --- basement structure --- dynamic response characteristics --- defects --- the lattice hydrodynamic model --- control signal --- strong wind --- optimal estimation of flux difference integral --- improved element-free Galerkin method --- Helmholtz equation --- penalty method --- improved moving least-squares approximation --- n/a --- elastic-plastic problem --- dimension splitting-interpolating moving least squares (DS-IMLS) method --- driver's predictive effect --- convection-diffusion-reaction problem
Book
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
The Special Issue “Assessment and Nonlinear Modeling of Wave, Tidal, and Wind Energy Converters and Turbines” contributes original research to stimulate the continuing progress of the offshore renewable energy (ORE) field, with a focus on state-of-the-art numerical approaches developed for the design and analysis of ORE devices. Particularly, this collection provides new methodologies, analytical/numerical tools, and theoretical methods that deal with engineering problems in the ORE field of wave, wind, and current structures. This Special Issue covers a wide range of multidisciplinary aspects, such as the 1) study of generalized interaction wake model systems with elm variation for offshore wind farms; 2) a flower pollination method based on global maximum power point tracking strategy for point-absorbing type wave energy converters; 3) performance optimization of a Kirsten–Boeing turbine using a metamodel based on neural networks coupled with CFD; 4) proposal of a novel semi-submersible floating wind turbine platform composed of inclined columns and multi-segmented mooring lines; 5) reduction of tower fatigue through blade back twist and active pitch-to-stall control strategy for a semi-submersible floating offshore wind turbine; 6) assessment of primary energy conversion of a closed-circuit OWC wave energy converter; 7) development and validation of a wave-to-wire model for two types of OWC wave energy converters; 8) assessment of a hydrokinetic energy converter based on vortex-induced angular oscillations of a cylinder; 9) application of wave-turbulence decomposition methods on a tidal energy site assessment; 10) parametric study for an oscillating water column wave energy conversion system installed on a breakwater; 11) optimal dimensions of a semisubmersible floating platform for a 10 MW wind turbine; 12) fatigue life assessment for power cables floating in offshore wind turbines.
History of engineering & technology --- off-shore wind farms (OSWFs) --- wake model --- wind turbine (WT) --- Extreme Learning Machine (ELM) --- wind power (WP) --- large-eddy simulation (LES) --- point-absorbing --- wave energy converter (WEC) --- maximum power point tracking (MPPT) --- flower pollination algorithm (FPA) --- power take-off (PTO) --- hill-climbing method --- Kirsten–Boeing --- vertical axis turbine --- optimization --- neural nets --- Tensorflow --- ANSYS CFX --- metamodeling --- FOWT --- multi-segmented mooring line --- inclined columns --- semi-submersible --- AFWT --- floating offshore wind turbine (FOWT) --- pitch-to-stall --- blade back twist --- tower fore–aft moments --- negative damping --- blade flapwise moment --- tower axial fatigue life --- wave energy --- oscillating water column --- tank testing --- valves --- air compressibility --- air turbine --- wave-to-wire model --- energy harnessing --- energy converter --- flow-induced oscillations --- vortex-induced vibration --- flow–structure interaction --- hydrodynamics --- vortex shedding --- cylinder wake --- tidal energy --- site assessment --- wave-current interaction --- turbulence --- integral length scales --- wave-turbulence decomposition --- OWC --- wave power converting system --- parametric study --- caisson breakwater application --- floating offshore wind turbines --- frequency domain model --- semisubmersible platform --- 10 MW wind turbines --- large floating platform --- platform optimization --- wind energy --- floating offshore wind turbine --- dynamic analysis --- fatigue life assessment --- flexible power cables
Book
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
The present book contains 14 articles that were accepted for publication in the Special Issue “Numerical Computation, Data Analysis and Software in Mathematics and Engineering” of the MDPI journal Mathematics. The topics of these articles include the aspects of the meshless method, numerical simulation, mathematical models, deep learning and data analysis. Meshless methods, such as the improved element-free Galerkin method, the dimension-splitting, interpolating, moving, least-squares method, the dimension-splitting, generalized, interpolating, element-free Galerkin method and the improved interpolating, complex variable, element-free Galerkin method, are presented. Some complicated problems, such as tge cold roll-forming process, ceramsite compound insulation block, crack propagation and heavy-haul railway tunnel with defects, are numerically analyzed. Mathematical models, such as the lattice hydrodynamic model, extended car-following model and smart helmet-based PLS-BPNN error compensation model, are proposed. The use of the deep learning approach to predict the mechanical properties of single-network hydrogel is presented, and data analysis for land leasing is discussed. This book will be interesting and useful for those working in the meshless method, numerical simulation, mathematical model, deep learning and data analysis fields.
cold-roll forming --- longitudinal strain --- cubic spline function --- cumulative chord --- elastic–plastic problem --- complex variable meshless method --- interpolating shape function --- singular weight function --- complete basis function --- mathematical model --- leased price --- total leased area --- data analysis --- residential land --- Beijing --- meshless method --- dimension splitting–interpolating moving least squares (DS-IMLS) method --- improved interpolating element-free Galerkin (IEFG) method --- potential problem --- traffic flow --- two-dimensional lattice hydrodynamic model --- driver’s predictive effect --- finite element method --- alkali-activated slag ceramsite compound insulation block --- ANSYS CFX --- thermal and mechanical performances --- indoor thermal environment --- dimension splitting method --- dimension splitting generalized interpolating element-free Galerkin method --- convection–diffusion–reaction problem --- deep learning --- hydrogel network --- mechanical property --- convolutional neural network --- self-avoiding walk --- personnel health monitoring --- construction site management --- smart helmet --- infrared temperature measurement --- temperature error compensation --- BP neural network --- COVID-19 --- peridynamics --- dual-horizon --- crack propagation --- variable horizon --- multi-grid --- car-following model --- visual angle model --- electronic throttle angle --- stability analysis --- heavy haul --- railway tunnel --- basement structure --- dynamic response characteristics --- defects --- the lattice hydrodynamic model --- control signal --- strong wind --- optimal estimation of flux difference integral --- improved element-free Galerkin method --- Helmholtz equation --- penalty method --- improved moving least-squares approximation --- n/a --- elastic-plastic problem --- dimension splitting-interpolating moving least squares (DS-IMLS) method --- driver's predictive effect --- convection-diffusion-reaction problem
Book
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
The Special Issue “Assessment and Nonlinear Modeling of Wave, Tidal, and Wind Energy Converters and Turbines” contributes original research to stimulate the continuing progress of the offshore renewable energy (ORE) field, with a focus on state-of-the-art numerical approaches developed for the design and analysis of ORE devices. Particularly, this collection provides new methodologies, analytical/numerical tools, and theoretical methods that deal with engineering problems in the ORE field of wave, wind, and current structures. This Special Issue covers a wide range of multidisciplinary aspects, such as the 1) study of generalized interaction wake model systems with elm variation for offshore wind farms; 2) a flower pollination method based on global maximum power point tracking strategy for point-absorbing type wave energy converters; 3) performance optimization of a Kirsten–Boeing turbine using a metamodel based on neural networks coupled with CFD; 4) proposal of a novel semi-submersible floating wind turbine platform composed of inclined columns and multi-segmented mooring lines; 5) reduction of tower fatigue through blade back twist and active pitch-to-stall control strategy for a semi-submersible floating offshore wind turbine; 6) assessment of primary energy conversion of a closed-circuit OWC wave energy converter; 7) development and validation of a wave-to-wire model for two types of OWC wave energy converters; 8) assessment of a hydrokinetic energy converter based on vortex-induced angular oscillations of a cylinder; 9) application of wave-turbulence decomposition methods on a tidal energy site assessment; 10) parametric study for an oscillating water column wave energy conversion system installed on a breakwater; 11) optimal dimensions of a semisubmersible floating platform for a 10 MW wind turbine; 12) fatigue life assessment for power cables floating in offshore wind turbines.
off-shore wind farms (OSWFs) --- wake model --- wind turbine (WT) --- Extreme Learning Machine (ELM) --- wind power (WP) --- large-eddy simulation (LES) --- point-absorbing --- wave energy converter (WEC) --- maximum power point tracking (MPPT) --- flower pollination algorithm (FPA) --- power take-off (PTO) --- hill-climbing method --- Kirsten–Boeing --- vertical axis turbine --- optimization --- neural nets --- Tensorflow --- ANSYS CFX --- metamodeling --- FOWT --- multi-segmented mooring line --- inclined columns --- semi-submersible --- AFWT --- floating offshore wind turbine (FOWT) --- pitch-to-stall --- blade back twist --- tower fore–aft moments --- negative damping --- blade flapwise moment --- tower axial fatigue life --- wave energy --- oscillating water column --- tank testing --- valves --- air compressibility --- air turbine --- wave-to-wire model --- energy harnessing --- energy converter --- flow-induced oscillations --- vortex-induced vibration --- flow–structure interaction --- hydrodynamics --- vortex shedding --- cylinder wake --- tidal energy --- site assessment --- wave-current interaction --- turbulence --- integral length scales --- wave-turbulence decomposition --- OWC --- wave power converting system --- parametric study --- caisson breakwater application --- floating offshore wind turbines --- frequency domain model --- semisubmersible platform --- 10 MW wind turbines --- large floating platform --- platform optimization --- wind energy --- floating offshore wind turbine --- dynamic analysis --- fatigue life assessment --- flexible power cables
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