A Methodology for Fast and Accurate Analytical Fragility Analysis of Linear Structural Systems during Wind Storms: ALFA

Cihan Çiftçi

Makale detayları

A Methodology for Fast and Accurate Analytical Fragility Analysis of Linear Structural Systems during Wind Storms: ALFA

Yazarlar:

Cihan Çiftçi

Yayıncı:

Erciyes University

Ana Başlıklar:

İnşaat Yapım Mühendisliği | Kırılma Mekaniği

Dergi:

Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi Vol.39 Issue 3, pp.508-520

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001308825

pISSN:

1012-2354

Anahtar kelimeler:

Özet:

 Wind-storms are extremely destructive natural disasters that cause structural damage, and consequently severe personal injuries and casualties. To reduce these injuries and casualties, risk assessment of existing structures and improvement of building design regulations have become important. To assess the risk of structural systems during wind storms, analytical fragility analysis is a recently developed method by providing conditional failure probabilities for the structural systems. However, the analytical fragility analysis requires extensive computational time and effort which makes it infeasible for large scale structures. This proposed paper develops a new methodology Analytical Linear Fragility Analysis: ALFA to simplify and to expedite the analytical fragility analysis for linear structural systems without compromising accuracy. ALFA is exemplified by obtaining the fragility curves of 70 different multi-degree of freedom MDOF linear mass-column systems subjected to varying wind loading conditions. The fragility curves of the same mass-column systems were also obtained using Monte-Carlo MC based brute-force methodology, which is a commonly used computationally expensive method in literature, and results are compared. This comparison yields the conclusion that ALFA is 240 times faster than the brute-force one, without losing accuracy. Moreover, ALFA can be utilized for improvement of performance-based design specifications and for the preliminary risk assessment of nonlinear structural systems.

 Wind-storms are extremely destructive natural disasters that cause structural damage, and consequently severe personal injuries and casualties. To reduce these injuries and casualties, risk assessment of existing structures and improvement of building design regulations have become important. To assess the risk of structural systems during wind storms, analytical fragility analysis is a recently developed method by providing conditional failure probabilities for the structural systems. However, the analytical fragility analysis requires extensive computational time and effort which makes it infeasible for large scale structures. This proposed paper develops a new methodology Analytical Linear Fragility Analysis: ALFA to simplify and to expedite the analytical fragility analysis for linear structural systems without compromising accuracy. ALFA is exemplified by obtaining the fragility curves of 70 different multi-degree of freedom MDOF linear mass-column systems subjected to varying wind loading conditions. The fragility curves of the same mass-column systems were also obtained using Monte-Carlo MC based brute-force methodology, which is a commonly used computationally expensive method in literature, and results are compared. This comparison yields the conclusion that ALFA is 240 times faster than the brute-force one, without losing accuracy. Moreover, ALFA can be utilized for improvement of performance-based design specifications and for the preliminary risk assessment of nonlinear structural systems.

 Wind-storms are extremely destructive natural disasters that cause structural damage, and consequently severe personal injuries and casualties. To reduce these injuries and casualties, risk assessment of existing structures and improvement of building design regulations have become important. To assess the risk of structural systems during wind storms, analytical fragility analysis is a recently developed method by providing conditional failure probabilities for the structural systems. However, the analytical fragility analysis requires extensive computational time and effort which makes it infeasible for large scale structures. This proposed paper develops a new methodology Analytical Linear Fragility Analysis: ALFA to simplify and to expedite the analytical fragility analysis for linear structural systems without compromising accuracy. ALFA is exemplified by obtaining the fragility curves of 70 different multi-degree of freedom MDOF linear mass-column systems subjected to varying wind loading conditions. The fragility curves of the same mass-column systems were also obtained using Monte-Carlo MC based brute-force methodology, which is a commonly used computationally expensive method in literature, and results are compared. This comparison yields the conclusion that ALFA is 240 times faster than the brute-force one, without losing accuracy. Moreover, ALFA can be utilized for improvement of performance-based design specifications and for the preliminary risk assessment of nonlinear structural systems.

 Rüzgar fırtınaları, yapısal hasara ve sonuç olarak ciddi kişisel yaralanmalara ve kayıplara neden olan son derece yıkıcı doğal afetlerdir. Bu yaralanma ve can kayıplarını azaltmak için mevcut yapıların risk değerlendirmesi ve bina tasarım yönetmeliklerinin iyileştirilmesi önem kazanmıştır. Rüzgar fırtınaları sırasında yapısal sistemlerin riskini değerlendirmek için, analitik kırılganlık analizi, yapısal sistemler için koşullu arıza olasılıkları sağlayarak son zamanlarda geliştirilen bir yöntemdir. Bununla birlikte, analitik kırılganlık analizi, büyük ölçekli yapılar için uygulanamaz hale getiren kapsamlı hesaplama zamanı ve çabası gerektirir. Önerilen bu makale, doğruluktan ödün vermeden doğrusal yapısal sistemler için analitik kırılganlık analizini basitleştirmek ve hızlandırmak için yeni bir metodoloji Analitik Lineer Kırılganlık Analizi: ALFA geliştirmektedir. ALFA, değişen rüzgar yükü koşullarına maruz kalan 70 farklı çok serbestlik dereceli MDOF lineer kütle kolon sisteminin kırılganlık eğrilerinin elde edilmesiyle örneklenmiştir. Literatürde hesaplama açısından pahalı bir yöntem olan Monte-Carlo MC tabanlı kaba kuvvet metodolojisi kullanılarak aynı kütle-kolon sistemlerinin kırılganlık eğrileri de elde edilmiş ve sonuçlar karşılaştırılmıştır. Bu karşılaştırma, ALFAnın kesinliği kaybetmeden kaba kuvvetten 240 kat daha hızlı olduğu sonucunu verir. Ayrıca ALFA, performansa dayalı tasarım özelliklerinin iyileştirilmesi ve doğrusal olmayan yapısal sistemlerin ön risk değerlendirmesi için kullanılabilir.

Makale detayları

A Methodology for Fast and Accurate Analytical Fragility Analysis of Linear Structural Systems during Wind Storms: ALFA

Yazarlar:

Cihan Çiftçi

Yayıncı:

Erciyes University

Ana Başlıklar:

İnşaat Yapım Mühendisliği | Kırılma Mekaniği

Dergi:

Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi Vol.39 Issue 3, pp.508-520

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001308825

pISSN:

1012-2354

Fragility Curve

Monte-Carlo Simulation

Wind Force

Structural Reliability

Structural DynamicsKırılganlık Eğrisi

Monte-Carlo Simülasyonu

Rüzgar Yükü

yapısal güvenilirlik

Yapısal Dinamik

Sayı

Makale detayları

Yazarlar: Cihan Çiftçi

Yayıncı: Erciyes University

Ana Başlıklar: İnşaat Yapım Mühendisliği | Kırılma Mekaniği

Dergi: Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi Vol.39 Issue 3, pp.508-520

Belge Tipi: Makale

Yayın Tarihi: 12/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001308825

pISSN: 1012-2354

Sayı

Yazarlar:

Cihan Çiftçi

Yayıncı:

Erciyes University

Ana Başlıklar:

İnşaat Yapım Mühendisliği | Kırılma Mekaniği

Dergi:

Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi Vol.39 Issue 3, pp.508-520

Belge Tipi:

Makale

Yayın Tarihi:

12/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001308825

pISSN:

1012-2354