Simplified models for flood flow simulation

2011 ◽  
pp. 1-31
Author(s):  
Flavio C.B. Mascarenhas ◽  
Marcelo G. Miguez
Keyword(s):  
Flow Simulation ◽  
Simplified Models ◽  
Flood Flow

scholarly journals Simulation of flood flow in a river system using artificial neural networks

2005 ◽  
Vol 9 (4) ◽  
pp. 313-321 ◽  
Author(s):  
R. R. Shrestha ◽  
S. Theobald ◽  
F. Nestmann
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Flow Simulation ◽  
Simulation Models ◽  
River System ◽  
Training Data ◽  
Data Sets ◽  
Network Training ◽  
Artificial Neural ◽  
Flood Flow

Abstract. Artificial neural networks (ANNs) provide a quick and flexible means of developing flood flow simulation models. An important criterion for the wider applicability of the ANNs is the ability to generalise the events outside the range of training data sets. With respect to flood flow simulation, the ability to extrapolate beyond the range of calibrated data sets is of crucial importance. This study explores methods for improving generalisation of the ANNs using three different flood events data sets from the Neckar River in Germany. An ANN-based model is formulated to simulate flows at certain locations in the river reach, based on the flows at upstream locations. Network training data sets consist of time series of flows from observation stations. Simulated flows from a one-dimensional hydrodynamic numerical model are integrated for network training and validation, at a river section where no measurements are available. Network structures with different activation functions are considered for improving generalisation. The training algorithm involved backpropagation with the Levenberg-Marquardt approximation. The ability of the trained networks to extrapolate is assessed using flow data beyond the range of the training data sets. The results of this study indicate that the ANN in a suitable configuration can extend forecasting capability to a certain extent beyond the range of calibrated data sets.

Finger Seal Design Based on Fluid-Solid Interaction Model

2013 ◽  
Author(s):  
Joury M. Temis ◽  
Alexey V. Selivanov ◽  
Ivan J. Dzeva
Keyword(s):  
Mathematical Simulation ◽  
Gas Flow ◽  
Preliminary Investigation ◽  
Flow Simulation ◽  
Interaction Model ◽  
Mass Model ◽  
Simplified Models ◽  
Seal Design ◽  
High Efficient ◽  
Fluid Solid Interaction

Multidisciplinary mathematical simulation technique is developed for static and dynamic analyses of a high-efficient finger seal. It comprises gas flow simulation and stress-deformed analysis of compliant fingers based on simplified models and seal performance evaluation by two-way fluid-solid interaction coupling. Computation time for developed fast models is significantly less than for time-consuming traditional numerical 3D approaches meanwhile the accuracy of the simplified models is sufficient for preliminary investigation of finger seal design features. The developed models allow to introduce the simple iterative algorithm to solve the inverse problem of mathematical simulation and to design the finger seal, satisfying the specified requirements for the radial displacements of the fingers. Initial dynamic analysis is performed on the basis of equivalent one-mass model allowing to estimate finger response to the rotor deflections.

Flood flow simulation using CMAX radar rainfall estimates in orographic basins

2013 ◽  
Vol 21 (3) ◽  
pp. 596-604 ◽  
Author(s):  
Sukmin Yoon ◽  
Changsam Jeong ◽  
Taesam Lee
Keyword(s):  
Flow Simulation ◽  
Radar Rainfall ◽  
Flood Flow ◽  
Rainfall Estimates

COMBINED HYDRODYNAMIC–NEURAL NETWORK MODEL FOR FLOOD FLOW SIMULATION

2004 ◽  
pp. 1489-1496
Author(s):  
RAJESH RAJ SHRESTHA ◽  
STEPHAN THEOBALD ◽  
FRANZ NESTMANN
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Flow Simulation ◽  
Flood Flow

FLOOD FLOW SIMULATION IN LOW LAND AREAS BY TWO-DIMENSIONAL MODEL

1989 ◽  
Vol 33 ◽  
pp. 343-348
Author(s):  
Arvind Kumar GARG ◽  
Yoshiaki IWASA ◽  
Kazuya INOUE ◽  
Kiyoshi MATSUMOTO
Keyword(s):  
Flow Simulation ◽  
Two Dimensional ◽  
Dimensional Model ◽  
Two Dimensional Model ◽  
Flood Flow

Cold Flow Simulation in Underground Coal Gasification (UCG) Cavities

2014 ◽  
Vol 1 (1) ◽  
pp. 15-24 ◽  
Author(s):  
Dipankar Chatterjee ◽  
◽  
Satish Gupta ◽  
Chebolu Aravind ◽  
Rakesh Roshan
Keyword(s):  
Coal Gasification ◽  
Flow Simulation ◽  
Underground Coal Gasification ◽  
Cold Flow
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