نوع المادة: كتاب

الموضوعات

wake; bluff body; square cylinder; DDES; URANS; turbulence model; large eddy simulation; Taylor–Green vortex; numerical dissipation; modified equation analysis; truncation error; MUSCL; dynamic Smagorinsky subgrid-scale model; kinetic energy dissipation; computational fluid dynamics (CFD); microfluidics; numerical methods; gasdynamics; shock-channel; microelectromechanical systems (MEMS); discontinuous Galerkin finite element method (DG–FEM); fluid mechanics; characteristics-based scheme; multi-directional; Riemann solver; Godunov method; bifurcation; wind tunnel; neural networks; modeling; unsteady aerodynamic characteristics; high angles of attack; hypersonic; wake; chemistry; slender-body; angle of attack; detection; after-body; S-duct diffuser; flow distortion; flow control; vortex generators; aeroelasticity; reduced-order model; flutter; wind gust responses; computational fluid dynamics; convolution integral; sharp-edge gust; reduced order aerodynamic model; geometry; meshing; aerodynamics; CPACS; MDO; VLM; Euler; CFD; variable fidelity; multi-fidelity; aerodynamic performance; formation; VLM; RANS; hybrid reduced-order model; quasi-analytical; aeroelasticity; flexible wings; subsonic; wing–propeller aerodynamic interaction; p-factor; installed propeller; overset grid approach

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038976103

ملف خارجي

نوع المادة: كتاب

الموضوعات

breaking waves; turbulence invariants; laboratory experiments; flow-through system; tidal inlets; residence time; coastal lagoon; MIKE 3 FM (HD &; TR); MIKE 21 FM (HD); dense jet; current flow; velocity; trajectory; turbulence; dissipation; rivers; meanders; turbulence; secondary motion; prediction; bedrock canyon; ADCP; eddy viscosity; bed shear stress; spatial analysis; smoothed particle hydrodynamics models; physical modelling; plunging breaking waves; vorticity; turbulent jet; wave–current interaction; spectral dissipation; bottom friction; numerical model; hydrodynamic model; spectral model; wave attenuation; energy dissipation; drag coefficient; flexible vegetation; Spartina maritima; vegetation patch; wake region; submerged ratio; SVF; channel confluences; junction angle; flow deflection zone; flow retardation zone; flow separation zone; numerical modelling; PANORMUS; jets; waves; turbulence; mixing; diffusion; advection; river mouth; flow mixing; nonlinear shallow water equations; macrovortices; sub-grid turbulence; seabed friction; flow resistance; roughness; gravel-bed rivers; casting technique; CFD; Kelvin–Helmholtz; billow; lobe; cleft; gravity current; surface waves; inclined negatively buoyant jets; regular waves; dilution; sea discharges; rivers; maritime areas; turbulent processes

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038975946

ملف خارجي

نوع المادة: كتاب

الموضوعات

data scarce basins; runoff series; data forward prediction; ensemble empirical mode decomposition (EEMD); stopping criteria; method of tracking energy differences (MTED); deep learning; convolutional neural networks; superpixel; urban water bodies; high-resolution remote-sensing images; monthly streamflow forecasting; artificial neural network; ensemble technique; phase space reconstruction; empirical wavelet transform; hybrid neural network; flood forecasting; self-organizing map; bat algorithm; particle swarm optimization; flood routing; Muskingum model; machine learning methods; St. Venant equations; rating curve method; nonlinear Muskingum model; hydrograph predictions; flood routing; Muskingum model; hydrologic models; improved bat algorithm; Wilson flood; Karahan flood; flood susceptibility modeling; ANFIS; cultural algorithm; bees algorithm; invasive weed optimization; Haraz watershed; ANN-based models; flood inundation map; self-organizing map (SOM); recurrent nonlinear autoregressive with exogenous inputs (RNARX); ensemble technique; artificial neural networks; uncertainty; streamflow predictions; sensitivity; flood forecasting; extreme learning machine (ELM); backtracking search optimization algorithm (BSA); the upper Yangtze River; deep learning; LSTM network; water level forecast; the Three Gorges Dam; Dongting Lake; Muskingum model; wolf pack algorithm; parameters; optimization; flood routing; flash-flood; precipitation-runoff; forecasting; lag analysis; random forest; machine learning; flood prediction; flood forecasting; hydrologic model; rainfall–runoff, hybrid &; ensemble machine learning; artificial neural network; support vector machine; natural hazards &; disasters; adaptive neuro-fuzzy inference system (ANFIS); decision tree; survey; classification and regression trees (CART), data science; big data; artificial intelligence; soft computing; extreme event management; time series prediction; LSTM; rainfall-runoff; flood events; flood forecasting; data assimilation; particle filter algorithm; micro-model; Lower Yellow River; ANN; hydrometeorology; flood forecasting; real-time; postprocessing; machine learning; early flood warning systems; hydroinformatics; database; flood forecast; Google Maps

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038975489

ملف خارجي