The Experts below are selected from a list of 128508 Experts worldwide ranked by ideXlab platform
Facundo Bre - One of the best experts on this subject based on the ideXlab platform.
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prediction of wind Pressure Coefficients on building surfaces using artificial neural networks
Energy and Buildings, 2018Co-Authors: Facundo Bre, Juan M Gimenez, Victor D FachinottiAbstract:Abstract Knowing the Pressure Coefficient on building surfaces is important for the evaluation of wind loads and natural ventilation. The main objective of this paper is to present and to validate a computational modeling approach to accurately predict the mean wind Pressure Coefficient on the surfaces of flat-, gable- and hip-roofed rectangular buildings. This approach makes use of artificial neural network (ANN) to estimate the surface-average Pressure Coefficient for each wall and roof according to the building geometry and the wind angle. Three separate ANN models were developed, one for each roof type, and trained using an experimental database. Applied to a wide variety of buildings, the current ANN models were proved to be considerably more accurate than the commonly used parametric equations for the estimation of Pressure Coefficients. The proposed ANN-based methodology is as general and versatile as to be easily expanded to buildings with different shapes as well as to be coupled to building performance simulation and airflow network programs.
S. K. A. Au - One of the best experts on this subject based on the ideXlab platform.
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effect of lateral earth Pressure Coefficient on Pressure controlled compaction grouting in triaxial condition
Soils and Foundations, 2010Co-Authors: Shanyong Wang, Dave Chan, S. K. A. AuAbstract:The design, fabrication, and assembly of a new laboratory apparatus for the investigation of the behavior of compaction grouting in triaxial condition are presented in this paper. Using this laboratory apparatus, Pressure-controlled compaction grouting tests were carried out in specimens of completely decomposed granite (CDG) in Hong Kong. Precisely controlled injection water into a specially designed latex balloon in the specimen was to simulate a compaction grouting process. In these tests, the effective confining Pressure, lateral earth Pressure Coefficient (K), excess pore water Pressure, back Pressure, void ratio change, and vertical deformation of the specimen were measured. The main focus was to investigate the development of injection Pressure, void ratio, and excess pore water Pressure due to compaction grouting and subsequent consolidation of soils. In addition, both the compaction efficiency and the average strength enhancement ratio are defined to evaluate the effect of compaction grouting.
Victor D Fachinotti - One of the best experts on this subject based on the ideXlab platform.
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prediction of wind Pressure Coefficients on building surfaces using artificial neural networks
Energy and Buildings, 2018Co-Authors: Facundo Bre, Juan M Gimenez, Victor D FachinottiAbstract:Abstract Knowing the Pressure Coefficient on building surfaces is important for the evaluation of wind loads and natural ventilation. The main objective of this paper is to present and to validate a computational modeling approach to accurately predict the mean wind Pressure Coefficient on the surfaces of flat-, gable- and hip-roofed rectangular buildings. This approach makes use of artificial neural network (ANN) to estimate the surface-average Pressure Coefficient for each wall and roof according to the building geometry and the wind angle. Three separate ANN models were developed, one for each roof type, and trained using an experimental database. Applied to a wide variety of buildings, the current ANN models were proved to be considerably more accurate than the commonly used parametric equations for the estimation of Pressure Coefficients. The proposed ANN-based methodology is as general and versatile as to be easily expanded to buildings with different shapes as well as to be coupled to building performance simulation and airflow network programs.
Juan M Gimenez - One of the best experts on this subject based on the ideXlab platform.
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prediction of wind Pressure Coefficients on building surfaces using artificial neural networks
Energy and Buildings, 2018Co-Authors: Facundo Bre, Juan M Gimenez, Victor D FachinottiAbstract:Abstract Knowing the Pressure Coefficient on building surfaces is important for the evaluation of wind loads and natural ventilation. The main objective of this paper is to present and to validate a computational modeling approach to accurately predict the mean wind Pressure Coefficient on the surfaces of flat-, gable- and hip-roofed rectangular buildings. This approach makes use of artificial neural network (ANN) to estimate the surface-average Pressure Coefficient for each wall and roof according to the building geometry and the wind angle. Three separate ANN models were developed, one for each roof type, and trained using an experimental database. Applied to a wide variety of buildings, the current ANN models were proved to be considerably more accurate than the commonly used parametric equations for the estimation of Pressure Coefficients. The proposed ANN-based methodology is as general and versatile as to be easily expanded to buildings with different shapes as well as to be coupled to building performance simulation and airflow network programs.
Shanyong Wang - One of the best experts on this subject based on the ideXlab platform.
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effect of lateral earth Pressure Coefficient on Pressure controlled compaction grouting in triaxial condition
Soils and Foundations, 2010Co-Authors: Shanyong Wang, Dave Chan, S. K. A. AuAbstract:The design, fabrication, and assembly of a new laboratory apparatus for the investigation of the behavior of compaction grouting in triaxial condition are presented in this paper. Using this laboratory apparatus, Pressure-controlled compaction grouting tests were carried out in specimens of completely decomposed granite (CDG) in Hong Kong. Precisely controlled injection water into a specially designed latex balloon in the specimen was to simulate a compaction grouting process. In these tests, the effective confining Pressure, lateral earth Pressure Coefficient (K), excess pore water Pressure, back Pressure, void ratio change, and vertical deformation of the specimen were measured. The main focus was to investigate the development of injection Pressure, void ratio, and excess pore water Pressure due to compaction grouting and subsequent consolidation of soils. In addition, both the compaction efficiency and the average strength enhancement ratio are defined to evaluate the effect of compaction grouting.
