Search Results

1 - 10 of 29,388 items :

Clear All
Appropriate CFD Turbulence Model for Improving Indoor Air Quality of Ventilated Spaces

References [1] Hancock, T. (2002). Built Environment (Encyclopedia of Public Health). Retrieved June 19, 2014 from [2] Rota R., Canossa L. & Nano G. (2001). Ventilation design of industrial premises through CFD modelling. Canadian Journal of Chemical Engineering. 79(1), 80-86. [3] Kaji H., Akabayashi S.I. & Sakaguchi J. (2009). CFD analysis for detached house: Study on the ventilation efficiency on constantly ventilated house part 1. Journal of Environmental

Open access
Mathematical Modelling for Micropiles Embedded in Salt Rock

References [1]. Radan, G. (2014). Micropiles axially loaded in karst terrain. Mathematical Modelling in Civil Engineering, Special Issue, Y.R.C. 2014, from . [2]. Seo, H. & Prezzi, M. (2008). Use of Micropiles for Foundations of Transportation Structures Final Report . Joint Transportation Research Program: Purdue University. [3]. Radan, G. (2015). Methods of foundation and stabilization of terrains with micropiles . Unpublished Doctoral Thesis

Open access
Preliminary Wrf-Arw Model Analysis of Global Solar Irradiation Forecasting

. (1998). A Description of the Fifth-Generation Penn State/NCAR Mesoscale Model (MM5), NCAR Tech. Note, NCAR/TN-398+STR, USA,. [5] Zamora R.J., Dutton E.G., Trainer M., McKeen S.A., Wilczak J.M., Hou Y.T. (2005). Mon. Weather Rev . 133, (pp. 783-792). [6] Zamora R.J., Solomon S., Dutton E.G., Bao J.W., Trainer M., Portmann R.W., White A.B., Nelson D.W., McNider R.T. (2003). J. Geophys.Res . 108 (D2), 4050. [7] Lorenz E., RemundJ., Muller S.C., Traunmuller W., Steinmaurer G., Pozo D., Ruiz-Arias J.A., Fanego V.L., Ramirez

Open access
Direct Strut-and-Tie Model for Reinforced Concrete Bridge Pier Cap

References [1] Schlaich, J., Schäfer, K. and Jennewein, M. (2008). Toward a Consistent Design of Structural Concrete. PCI Journal , 82 (1), 74–150. [2] Karl-Heinz-Reineck. (2002). Example for Design of Structural Concrete with Strut-and-Tie Model. ACI-SP-208 . [3] ACI Committee 318. (2008). Building Code Requirements for Structural Concrete (ACI 318-08). American Concrete Institute (Vol. 2007). . [4] Alshegeir, A. and Ramirez, J. (1992). Computer Graphics in Detailing Strut-Tie Models

Open access


The article presents a case study on soil-structure interaction modelling for Wind turbines. After a brief presentation on the history of wind turbines and their potential in Romania, the authors take on the task of modelling the soil-structure interaction for the raft and piles. Three models are chosen: in the first model the piles are fixed at foundation depth; in the second, elastic supports are modelled on the raft and the piles and in the third model both elastic supports and fixed supports are modelled. Several comparisons are made between the three cases referring to displacements, efforts and necessary reinforcement. Based on these comparisons, the most important conclusion drawn is that the modelling of the soil-structure interaction has an important effect on the final reinforcement of the raft and the piles, considering that the difference between the models reaches almost 18%, which in the case of really large foundations can draw the line between economic and non-economic design.

Open access
Prediction of Scour Depth Around Bridge Piers Using Evolutionary Neural Network

). Evaluating scour at bridges , hydraulic Engineering circular 18, Federal Highway administration, 2, 1-4. [6] Melville B. W. and Chiew Y. M. (1999). Time scale for local scour depth at bridge piers. J. Hydr. Eng ., 125(1), 59-65. DOI: 10.1061/(ASCE)0733-9429(1999)125:1(59) [7] Lee, T. L., Jeng, D. S., Zhang, G. H. and Hong, J. H. (2007). Neural network modeling for estimation of scour depth around bridge piers, Journal of Hyrodynamics , 19(3), 378-386. DOI: 10.1016/S1001-6058(07)60073-0 [8] Bateni, S.M., Borghei, S.M. and Jeng, D.S. (2007). Neural

Open access
Numerical Study on Temporal Domain Discretizing for Hydrogeological Modeling Practices

References [1] Ostrowski, M., Bach, M., Gamerith, V. & De Simone, S. (2010). Analysis of the time-step dependency of parameters in conceptual hydrological models. Institut Wasserbau und Wasserwirtschaft, Technische Universität Darmstadt, Germany [2] Mitchell, G. & Diaper, C. (2006). Simulating the urban water and contaminant cycle. Environmental Modelling & Software. 21, 129-134. DOI:10.1016/j.envsoft.2005.03.003. [3] Mohrlok, U., Wolf, L. & Klinger, J. (2007). Quantification of infiltration processes

Open access
Genetic Programming Technique Applied for Flash-Flood Modelling Using Radar Rainfall Estimates

References [1] Solomatine, D. P. & Ostfeld, A. (2008), Data-driven modelling: Some past experiences and new approaches. Journal of Hydroinformatics. 10(1), 3-22. DOI: 10.2166/hydro.2008.015; [2] Hsu, K., Vijai Gupta, H., & Sorooshian, S. (1995), Artificial neural network modeling of the rainfall-runoff process. Water Resources Research. 31(10), 2517-2530. DOI: 10.1029/95WR01955; [3] Abrahart, R. J. & See, L. M. (2007), Neural network modelling of non-linear hydrological relationships. Hydrology and Earth System

Open access

approximation of inertial manifolds; The Lotka-Volterra model, Bul. Şt., Universitatea din Piteşti, Seria Mat. Inf.12, 109-120. [9]. Nartea, C. (2009). Approximate inertial manifolds and absorbing domains for Lotka-Volterra model, Proceedings of the International Conference Trends and Challenges in Applied Mathematics, 23 May 2009 (104-108), Bucharest, Romania: Matrix ROM. [10].

Open access

-0699(2000)5:2(124) [3] Hsu, K., Vijai Gupta, H., & Sorooshian, S. (1995), Artificial neural network modeling of the rainfall-runoff process. Water Resources Research. 31(10), 2517-2530. DOI: 10.1029/95WR01955 [4] Minns, A. W. & Hall, M. J. (1996). Artificial neural networks as rainfall-runoff models. Hydrological Sciences Journal, 41(3), 399-417. [5] Dawson, C. W. & Wilby, R. (1998), An artificial neural network approach to rainfall-runoff modelling. Hydrological Sciences Journal. 43(1), 47-66. DOI: 10.1080/02626669809492102 [6

Open access