참고문헌
- Architectural Institution of Japan (2017). Guidebook of Recommendations for Loads on Buildings 2 Wind-induced Response and Load Estimation/Practical Guide of CFD for Wind Resistant Design.
- Du, Y., Mak, C. M. and Li, Y. (2019). A Multi-stage Optimization of Pedestrian level Wind Environment and Thermal Comfort with lift-up Design in Ideal Urban Canyons, Sustainable Cities and Society, 46, 101424. https://doi.org/10.1016/j.scs.2019.101424
- Elshaer, A., Bitsuamlak, G. and Damatty, A. E. (2017). Enhancing Wind Performance of Tall Buildings using Corner Aerodynamic Optimization, Engineering Structures,136, 133-148. https://doi.org/10.1016/j.engstruct.2017.01.019
- Fujiwara, K., Asawa, T. and Tsuchiya, N. (2018). Optimizationof Tree Arrangement for Landscape Design: Proposal regarding Tree Arrangement Priority Maps for Heat Mitigation, 10th International Conference on Urban Climate in New York, Aug.
- Guo, X., Li, W. and Iorio, F. (2016). Convolutional Neural Networks for Steady Flow Approximation, KDD '16, August 13-17, San Francisco, CA, USA.
- Harbola S. and Coors V. (2019). One dimensional convolutional neural network architectures for wind prediction, Energy Conversion and Management, 195, 70-75. https://doi.org/10.1016/j.enconman.2019.05.007
- Huang C. j. and Kuo P. H. (2018). A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems, Energies 2018, 11, 2777. https://doi.org/10.3390/en11102777
- Kawamoto, S., Miyamoto, K., Tsuchiya, N. and Ohtake, K. (1998). Estimation of Wind Loading by Computational Fluid Dynamics Part 2: High-rise Building Case, Summaries of Technical Papers of Annual Meeting 1998 (Transaction of AIJ), pp. 297-298 (in Japanese).
- Miyamoto, K., Kawamoto, S. and Tsuchiya, N. (1998). Estimation of Wind Loading by Computational Fluid Dynamics (Part 1) Low-rise Building Case, Summaries of Technical Papers of Annual Meeting 1998 (Transaction of AIJ), pp. 295-296 (in Japanese).
-
Murakami, S., Mochida, A. and Hayashi, Y. (1990). Examining the k-
${\varepsilon}$ Model by Means of a Wind Tunnel Test and Large-Eddy Simulation of the Turbulence Structure Around a Cube, Journal of Wind Engineering and Industrial Aerodynamics, 35, 87-100. https://doi.org/10.1016/0167-6105(90)90211-T - Nakamura, S., Kinoshita, T., Fujii, E., Nakamura, N.,Mizushima, Y., Kashima, K, Ikeda, S., Suzuki, T. and Tojo, T. (2017). Section Determination System for Steel Structures Using Decremental Line Search and Automatic member grouping, J. Struct. Constr. Eng., AIJ, 82(740), 1609-1619 (in Japanese). https://doi.org/10.3130/aijs.82.1609
- Ngo, L. C., Bello-Ochende, T. and Meyer, J. P. (2015). Three-Dimensional Analysis and Numerical Optimization of Combined Natural Convection and Radiation Heat Loss in Solar Cavity Receiver with Plate Fins Insert, Energy conversion and management, 101, 757-766. https://doi.org/10.1016/j.enconman.2015.05.061
- Red Cedar Technology (2008). SHERPA - An Efficient and Robust Optimization / Search Algorithm, WP-1023 (Rev. 05.08).
-
Shih, T. H., Liou, W. W., Shabbir, A., Yang, Z. and Zhu, J. (1995). New k-
${\varepsilon}$ Eddy Viscosity Models for High-Reynolds Number Turbulent Flows, Computers and Fluids, 24(3), 227-238. https://doi.org/10.1016/0045-7930(94)00032-T - Tanaka, H., Tamura, Y., Ohtake, K., Nakai, M. and Kim, Y.C. (2012). Experimental Investigation of Aerodynamic Forces and Wind Pressures Acting on Tall Buildings with Various Unconventional Configurations, Journal of Wind Engineering and Industrial Aerodynamics, 107-108, 179-191. https://doi.org/10.1016/j.jweia.2012.04.014
- Tanaka, H., Tamura, Y., Ohtake, K., Nakai, M., Kim, Y.C. andBandi, E. K. (2013). Aerodynamic and Flow Characteristics of Tall Buildings with Various Unconventional Con-figurations, Int. Journal of High-Rise Buildings, 2(3), 213-228. https://doi.org/10.21022/IJHRB.2013.2.3.213
- Tanaka, H., Konno, N., Ohtake, K. and Tsuchiya, N. (2014). Prediction Accuracy of Wind Forces Acting on High-rise Buildings in Urban Areas by Large Eddy Simulation, Proceedings of the 6th International Symposium on Com-putational Wind Engineering in Hamburg.
- Tominaga, Y., Mochida, A, Yoshie, R., Kataoka, H., Nozu, T., Yoshikawa, M. and Shirasawa, T. (2008). AIJ Guidelinesfor Practical Applications of CFD to Pedestrian Wind Environment around Buildings, Journal of Wind En-gineering and Industrial Aerodynamics, 96(10-11), 1749-1761. https://doi.org/10.1016/j.jweia.2008.02.058
- Umetani, T. and Bickel, B. (2018). Learning Three-Dimensional flow for Interactive aerodynamic design, ACM Trans. Graph, 37(4), Article 89.
- Yakhot, V., Orszag, S. A., Thangam, S., Gatski, T. B. and Speziale, C. G. (1992). Development of turbulence modelsfor shear flows by a double expansion technique, Physics of Fluids, A4, 510-1520.
- Zhou J., Liu h., Xu Y. and Jiang W. (2018), A Hybrid Framework for Short Term Multi-Step Wind Speed Forecasting Based on Variational Model Decomposition and Convolutional Neural Network, Energies 2018, 11, 2292.