کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6426970 1634468 2013 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Snow load models for probabilistic optimization of steel frames
ترجمه فارسی عنوان
مدل های برف بار برای بهینه سازی احتمالی فریم های فولادی
کلمات کلیدی
مدل باران برف، فریم های فولادی، طراحی احتمالی، بهینه سازی احتمالی، عوامل ایمنی،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علوم زمین و سیاره ای (عمومی)
چکیده انگلیسی


- Three snow load models for climates with snow in regular seasons are considered.
- Probabilistic design of frames of low-rise industrial buildings is performed.
- Safety factors related to snow, wind and permanent loads are optimized.
- A novel optimization of safety factors varying with roof weight category is shown.

Three probabilistic snow load models based on the Poisson spike process and the block maxima method are derived from the second moment probabilistic description of monthly extreme values of snow load. For comparison of the models, the upper tail asymptotic approximations of their cumulative probability distribution functions of yearly maxima are obtained. The performance of the models is checked by the probabilistic design and verification of representative portal frames of low-rise industrial buildings exposed to snow and wind loads using the first-order reliability method (FORM). The statistical parameters of monthly maxima of climatic loads related to measurements at six locations in Germany are employed. The considered snow load has a pattern of a seasonal occurrence of snowfall. The Poisson spike process model is then applied to the probabilistic optimization of safety factors for the standardized design of frames. A novel optimization of variable safety factors is proposed to differentiate design for frames with light to heavy weight roofs. It is shown that this differentiation significantly reduces scatter of the reliability level around the target value.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Cold Regions Science and Technology - Volume 94, October 2013, Pages 13-20
نویسندگان
, ,