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Journals / Teknik Dergi / 2014 / Cilt: 25 - Sayı: 124

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Türkiye Kar Verilerinin İstatistiksel Analiziyle Türk Standartlarındaki Zemin Kar Yüklerinin Değerlendirilmesi

Mustafa DURMAZ
Ayşe DALOĞLU
Pages
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Publication Date
2014-05-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It is concluded that TS 498 is unsafe for Eastern Black Sea and Eastern Anatolia regions and Gumbel distribution used in TS 7046 does not represent half of the snow data

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Evaluation of Ground Snow Loads in Turkish Codes Via Statistical Analysis of Turkey Snow Data In Turkey many roofs exposed to snow loads exceeding the design snow loads are damaged or collapsed.
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Key Findings & Data:In this study, the ground snow loads in Turkish codes are evaluated via statistical analysis of Turkey snow data obtained from 92 Turkish State Meteorological Service stations.
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Conclusion & Impact:It is concluded that TS 498 is unsafe for Eastern Black Sea and Eastern Anatolia regions and Gumbel distribution used in TS 7046 does not represent half of the snow data
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Çatı kar yükü · zemin kar yükü · istatistiki analiz

Abstract

Evaluation of Ground Snow Loads in Turkish Codes Via Statistical Analysis of Turkey Snow Data In Turkey many roofs exposed to snow loads exceeding the design snow loads are damaged or collapsed. Roof snow load specified for structural design in Turkish codes is calculated as the product of a ground snow load multiplied by the conversion factors that depend on the roof properties. In this study, the ground snow loads in Turkish codes are evaluated via statistical analysis of Turkey snow data obtained from 92 Turkish State Meteorological Service stations. The probability plot correlation coefficient test for Gumbel, lognormal and Weibull distributions are used to determine the best fit of the probability distribution considering the snow data. 50-year design ground snow loads and snow depths of the stations determined by using the selected distributions are compared to those proposed in Turkish codes. It is concluded that TS 498 is unsafe for Eastern Black Sea and Eastern Anatolia regions and Gumbel distribution used in TS 7046 does not represent half of the snow data

Özet

Türkiye’de pek çok çatı tasarım kar yükünden fazla kar yüküne maruz kalarak çökmekte veya hasar görmektedir. Türk standartlarına göre çatı kar yükü, zemin kar yükü ile çatı özelliklerine bağlı olan dönüşüm katsayılarının çarpılması ile hesaplanır. Bu çalışmada Devlet Meteoroloji İşleri’ne ait 92 istasyonun kar derinliği ve kar-su eşdeğeri verilerinin istatistiksel analizi yapılarak Türk standartlarında önerilen zemin kar yükleri değerlendirilmektedir. Kar verileri için en uygun dağılım Gumbel, lognormal ve Weibull dağılımları arasından Olasılık Çizgisi Korelasyon Katsayısı testi ile seçilmiştir. Seçilen dağılımlarla belirlenen 50 yıllık zemin kar yükleri ve kar derinlikleri ile Türk standartlarında önerilen değerler karşılaştırılmıştır. TS 498’in Doğu Karadeniz ve Doğu Anadolu bölgeleri için emniyetsiz olduğu ve TS 7046’da önerilen Gumbel dağılımının kar verilerinin yarısına uymadığı sonucuna varılmıştır

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Cite This Article

DURMAZ, M., DALOĞLU, A. (2014). -. Teknik Dergi, Cilt: 25 - Sayı: 124. https://ajindex.com/articles/51351

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References (17)

  1. http://clubs.calvin.edu/chimes/article.php?id=6700 http://news.bbc.co.uk/2/hi/europe/4659030.stm
  2. Topçu, A., “Kar Yükü ve Çöken Çatılar”, Eskişehir Osmangazi Üniversitesi Yapı Mekaniği Semineri, 2006.
  3. Ellingwood, B. and Redfield, R., Ground Snow Loads for Structural Design, Journal of Structural Engineering, 109, 4, 950-964, 1983.
  4. Rusten, A., Sack, R. L., Molnau, M., Snow Load Analysis for Structures, Journal of the Structural Division, 106, St1, 11-21, 1980. O’Rourke, M. J., Redfield, R., Bradsky, P.V., Uniform Snow Loads on Structures, Journal of the Structural Division, 108, St12, 2781-2798, 1982.
  5. Sack, R. L., Designing Structures for Snow Loads, Journal of Structural Engineering, 115, 2, 303-315, 1989.
  6. Durmaz, M., Daloğlu A., “Kar Verilerinin İstatistiksel Analizi ve Doğu Karadeniz Bölgesinin Zemin Kar Yükü Haritasının Oluşturulması”, İMO Teknik Dergi, 16, 3, 3619-3642, 2005.
  7. Ellingwood, B., O’Rourke, M. J., Probabilistic Models of Snow Loads on Structures, Structural Safety, 2, 4, 291-299, 1985.
  8. Boyd, D. W., Maxımum Snow Depths and Snow Loads on Roofs in Canada, Proceedings of the 29th Annual Meeting Western Snow Conference, Ottawa, Canada, 1961.
  9. Thom, H., Distribution of Maximum Annual Water Equivalent of Snow on the Ground, Monthly Weather Review, 94, 4, 265-271, 1966.
  10. Tobiasson, W., Redfield, R., Snow Loads for the United States, CRREL Report, Hanover, N. H., 1983.
  11. Ellingwood, B. and Redfield, R., Probability Models for Annual Extreme Water- equivalent Ground Snow, Monthly Weather Review, 112, 6, 1153-1159, 1984.
  12. Newark, M. J., Welsh, E., Morris, R. J., Dnes, W. V., Revised Ground Snow Loads for the 1990
  13. National Building Code of Canada, Canadian Journal of Civil Engineering, 16, 3, 267-278, 1989.
  14. Del Corso, R., Formichi, P., Stiefel, U., Recent European Research Advances Snow Loading and Their Possible Implementation in the Eurocodes, Prograssive Structural Engineering Material, 2, 5, 483-494, 2000.
  15. Durmaz, M., Daloğlu, A., Özgen P., “Production of the Ground Snow Load Map For Turkey Using GIS Techniques”, Proceedings of The 5th International Conference on Geographic Information Systems, Istanbul, Turkey, 559-566, 2008.
  16. Durmaz, M., and Daloğlu A., Frequency analysis of ground snow data and production of the snow load map using geographic information system for the Eastern Black Sea region of Turkey, Journal of Structural Engineering, 132, 7, 1166-1177, 2006.
  17. Ellingwood, B., Statistical Tests of Environmental Load Data, Journal of Structural Enginee