Study on Optimizing the Cold-Adapted Form of Large Space Public Buildings
Introduction Aiming at the adaptability of large-space public buildings in severe cold regions of China, this paper studies the design of site environment and form.
Simulations of Environmental Factors Through the numerical simulation method of human-computer collaborative site environment factors, it makes a comprehensive quantitative analysis of the wind environment, light environment, thermal environment and other factors in the built area, and predicts the correlation between buildings and environment.
Climate Adaptation Conditions Climate is the most important factor affecting building shape of environmental conditions. The most influential climatic factors are sunshine, temperature, wind, rain and snow. The feedback from buildings to these environmental factors takes on different forms according to different regions. This study mainly considers the cold adaptation factors of cold regions.
Topological Optimization of Architectural Form Combined with engineering practice, through the application of multi-objective optimization algorithm and parameter coupling analysis, the interactive feedback and multi-directional link between building parameters and environmental performance numerical simulation analysis can be realized. Finally, several comparison schemes are formed. The architect provides a visual dynamic model, which realizes the scientific judgment and optimal decision-making in the design process.
Conclusion Based on digital technology, a method of “simulation-calculation-optimization” for shape and topology optimization of large-space buildings in cold regions is proposed, and a systematic method of shape optimization of large-space buildings with goal orientation is constructed.
KeywordsLarge space Architectural form Cold adaptation Topological optimization Environmental factors
This research was supported by the Key Program of the National Natural Science Foundation of China (No. 51738006) and the Program of Science and Technology of Ministry of Housing and Urban-Rural Development (No. 2017-K1-007). The research was also supported by the Basic Scientific Research Project of Institutions of Higher Learning in Liaoning Province (No. LJZ2017024).
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