Optimizing High-Rise Building Layouts to Enhance Urban Wind Flow and Passive Ventilation
سال انتشار: 1405
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 115
فایل این مقاله در 22 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJEE-17-2_003
تاریخ نمایه سازی: 15 دی 1404
چکیده مقاله:
This paper investigates the effect of high-rise building layout on desirable wind flow patterns. To investigate these factors in Isfahan city, first, three existing high-rise residential complexes were simulated using ANSYS Fluent software to analyze the airflow patterns under local wind conditions (average speed: ۲.۵ m/s). Then, ۱۵ parametric layout models were developed in three elongation directions (east-west, northwest-southeast, north-south), each with three spacing scenarios based on the ratio of passage width to building height of ۱:۳, ۱:۲, and ۱:۱, which included a total of ۴۵ CFD simulations. The results showed that the location and spacing of high-rise buildings significantly affect the velocity, pressure, and volume of passing and stagnant air when encountering obstacles. In particular, if the distance between buildings is greater than the width of the windward front, the wake area formed behind the buildings becomes shorter. The length of this trailing area is directly related to the total length of the building blocks, and the reduction in wind speed and the level of air stagnation behind the buildings are directly affected by the density and compactness of the design. The least effective design occurs when the buildings are arranged so that they overlap and collectively act as a single, impenetrable barrier to wind flow. The most effective design depends on various factors such as site area, land use, and adjacent buildings.
کلیدواژه ها:
نویسندگان
M. Karimimoshaver
Department of Architecture, Faculty of Art and Architecture, Bu-Ali Sina University, Hamedan, Iran
F. Derakhshan
Department of Architecture, Faculty of Art and Architecture, Bu-Ali Sina University, Hamedan, Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :