International Journal of Heat and Mass Transfer, 2010
The filtered radiative transfer equation has been solved without subgrid-scale model and compared... more The filtered radiative transfer equation has been solved without subgrid-scale model and compared to a-priori estimations from direct numerical simulation of statistically stationary homogeneous isotropic turbulence. The importance of the large eddy simulation non-resolved scales on the thermal radiation is analysed in this academic case. The influence of the mean and variance of temperature of the system on the subgrid-scale
One of the most popular methods used in the solution of radiative heat transfer problems is the d... more One of the most popular methods used in the solution of radiative heat transfer problems is the discrete ordinates method (DOM). The present paper describes two different parallelization strategies of the DOM. One of them is based on angular decomposition and the other one is based on spatial decomposition. In the first case each processor performs the calculations for the
Bone scaffolds for tissue regeneration require an optimal trade-off between biological and mechan... more Bone scaffolds for tissue regeneration require an optimal trade-off between biological and mechanical criteria. Optimal designs may be obtained using topology optimization (homogenization approach) and prototypes produced using additive manufacturing techniques. However, the process from design to manufacture remains a research challenge and will be a requirement of FDA design controls to engineering scaffolds. This work investigates how the design to manufacture chain affects the reproducibility of complex optimized design characteristics in the manufactured product. The design and prototypes are analyzed taking into account the computational assumptions and the final mechanical properties determined through mechanical tests. The scaffold is an assembly of unit-cells, and thus scale size effects on the mechanical response considering finite periodicity are investigated and compared with the predictions from the homogenization method which assumes in the limit infinitely repeated un...
The present paper is concerned with the prediction of the local flow, heat-transfer, and combusti... more The present paper is concerned with the prediction of the local flow, heat-transfer, and combustion processes inside a three-dimensional can combustor chamber of a gas turbine. A three-dimensional numerical solution technique is used to solve the governing time-averaged partial differential equations and the physical modeling for turbulence, combustion, and thermal radiation. Heat-transfer modeling is emphasized in this paper. A method
The goal of the present work is to report the numer ical simulation of a turbulent lifted methane... more The goal of the present work is to report the numer ical simulation of a turbulent lifted methane-air jet flame using a partial premix ed combustion model. This model is based on the transport of a non-reacting variable G, which represents the normal distance to the flame front. The G-equation is derived from the local kinematics rela tion between the
The 2013 International Joint Conference on Neural Networks (IJCNN), 2013
ABSTRACT This paper describes a neural network based equalizer trained by the artificial immune s... more ABSTRACT This paper describes a neural network based equalizer trained by the artificial immune system learning algorithm. The equalizer takes advantage of the characteristics of neural nets and artificial immune systems. Simulations for channel responses examples indicate the usefulness of the proposed equalizer.
Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007), 2007
This paper presents an Extended Fast Kalman filter training procedure for complex RTRL neural net... more This paper presents an Extended Fast Kalman filter training procedure for complex RTRL neural networks. Fast Kalman training methods use the framework for Extended Kalman filtering techniques which proved to be efficient but quite computationally demanding particularly when a ...
International Conference on Enterprise Information Systems, 2004
This paper investigates the application of partially recurrent artificial neural networks (ANN) i... more This paper investigates the application of partially recurrent artificial neural networks (ANN) in the flow estimation for São Francisco River that feeds the hydroelectric power plant of Sobradinho. An Elman neural network was used suitably arranged to receive samples of the flow time series data available for São Francisco River shifted by one month. For that, the neural network input
... Calado Santos a , Carlos Fernando Dias Rodrigues a , Pedro Coelho a , André Nuno Costa a , An... more ... Calado Santos a , Carlos Fernando Dias Rodrigues a , Pedro Coelho a , André Nuno Costa a , António Jorge Guiomar a c , Maria Sancha Santos a b , Maria Carmen Alpoim a b d & Ana Margarida Urbano a d e * ... 200018. Messer, RLW, Doeller, JE, Kraus, DW and Lucas, LC. ...
International Journal of Heat and Mass Transfer, 2010
The filtered radiative transfer equation has been solved without subgrid-scale model and compared... more The filtered radiative transfer equation has been solved without subgrid-scale model and compared to a-priori estimations from direct numerical simulation of statistically stationary homogeneous isotropic turbulence. The importance of the large eddy simulation non-resolved scales on the thermal radiation is analysed in this academic case. The influence of the mean and variance of temperature of the system on the subgrid-scale
One of the most popular methods used in the solution of radiative heat transfer problems is the d... more One of the most popular methods used in the solution of radiative heat transfer problems is the discrete ordinates method (DOM). The present paper describes two different parallelization strategies of the DOM. One of them is based on angular decomposition and the other one is based on spatial decomposition. In the first case each processor performs the calculations for the
Bone scaffolds for tissue regeneration require an optimal trade-off between biological and mechan... more Bone scaffolds for tissue regeneration require an optimal trade-off between biological and mechanical criteria. Optimal designs may be obtained using topology optimization (homogenization approach) and prototypes produced using additive manufacturing techniques. However, the process from design to manufacture remains a research challenge and will be a requirement of FDA design controls to engineering scaffolds. This work investigates how the design to manufacture chain affects the reproducibility of complex optimized design characteristics in the manufactured product. The design and prototypes are analyzed taking into account the computational assumptions and the final mechanical properties determined through mechanical tests. The scaffold is an assembly of unit-cells, and thus scale size effects on the mechanical response considering finite periodicity are investigated and compared with the predictions from the homogenization method which assumes in the limit infinitely repeated un...
The present paper is concerned with the prediction of the local flow, heat-transfer, and combusti... more The present paper is concerned with the prediction of the local flow, heat-transfer, and combustion processes inside a three-dimensional can combustor chamber of a gas turbine. A three-dimensional numerical solution technique is used to solve the governing time-averaged partial differential equations and the physical modeling for turbulence, combustion, and thermal radiation. Heat-transfer modeling is emphasized in this paper. A method
The goal of the present work is to report the numer ical simulation of a turbulent lifted methane... more The goal of the present work is to report the numer ical simulation of a turbulent lifted methane-air jet flame using a partial premix ed combustion model. This model is based on the transport of a non-reacting variable G, which represents the normal distance to the flame front. The G-equation is derived from the local kinematics rela tion between the
The 2013 International Joint Conference on Neural Networks (IJCNN), 2013
ABSTRACT This paper describes a neural network based equalizer trained by the artificial immune s... more ABSTRACT This paper describes a neural network based equalizer trained by the artificial immune system learning algorithm. The equalizer takes advantage of the characteristics of neural nets and artificial immune systems. Simulations for channel responses examples indicate the usefulness of the proposed equalizer.
Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007), 2007
This paper presents an Extended Fast Kalman filter training procedure for complex RTRL neural net... more This paper presents an Extended Fast Kalman filter training procedure for complex RTRL neural networks. Fast Kalman training methods use the framework for Extended Kalman filtering techniques which proved to be efficient but quite computationally demanding particularly when a ...
International Conference on Enterprise Information Systems, 2004
This paper investigates the application of partially recurrent artificial neural networks (ANN) i... more This paper investigates the application of partially recurrent artificial neural networks (ANN) in the flow estimation for São Francisco River that feeds the hydroelectric power plant of Sobradinho. An Elman neural network was used suitably arranged to receive samples of the flow time series data available for São Francisco River shifted by one month. For that, the neural network input
... Calado Santos a , Carlos Fernando Dias Rodrigues a , Pedro Coelho a , André Nuno Costa a , An... more ... Calado Santos a , Carlos Fernando Dias Rodrigues a , Pedro Coelho a , André Nuno Costa a , António Jorge Guiomar a c , Maria Sancha Santos a b , Maria Carmen Alpoim a b d & Ana Margarida Urbano a d e * ... 200018. Messer, RLW, Doeller, JE, Kraus, DW and Lucas, LC. ...
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Papers by Pedro Coelho