Thông tin chung
  English
  Đề tài NC khoa học
  Bài báo, báo cáo khoa học
  Hướng dẫn Sau đại học
  Sách và giáo trình
  Các học phần và môn giảng dạy
  Giải thưởng khoa học, Phát minh, sáng chế
  Khen thưởng
  Thông tin khác
  Tài liệu tham khảo
  Hiệu chỉnh
 
Số người truy cập: 106,688,631

 Multi-variate and single-variable flood fragility and loss approaches for buildings
Tác giả hoặc Nhóm tác giả: Nofal, O., van de Lindt, J., Do, T.
Nơi đăng: Reliability Engineering and System Safety, ELSEVIER; Số: 202;Từ->đến trang: 1-16;Năm: 2020
Lĩnh vực: Kỹ thuật; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
Propagating uncertainties in flood damage models is a critical step towards a risk-informed decision methodology that is based on quantitative assessment. Flood-related data scarcity and the use of deterministic models present challenges when seeking to include uncertainties in flood damage modeling. In this paper, a singlevariable and multi-variate component-based flood fragility method is proposed. The method uses expert-based data derived from online sources that are applied within a Monte Carlo framework to divide the building into independent components and then assigns these components to five predefined damage states that describe the building damage as a whole. Using a series of Monte Carlo simulations, uncertainties in flood depth and flood duration that result in each damage level for each component were propagated. Their damage is then characterized using component fragility functions to be used to develop total building fragility and loss functions. The resulting fragilities can be used as a probabilistic vulnerability function to be assigned to a real community based on building archetype and occupancy. The ability to develop flood fragility curves for buildings without the need for empirical field data is the primary contribution of this work.
ABSTRACT
Propagating uncertainties in flood damage models is a critical step towards a risk-informed decision methodology that is based on quantitative assessment. Flood-related data scarcity and the use of deterministic models present challenges when seeking to include uncertainties in flood damage modeling. In this paper, a single variable and multi-variate component-based flood fragility method is proposed. The method uses expert-based data derived from online sources that are applied within a Monte Carlo framework to divide the building into independent components and then assigns these components to five predefined damage states that describe the building damage as a whole. Using a series of Monte Carlo simulations, uncertainties in flood depth and flood duration that result in each damage level for each component were propagated. Their damage is then characterized using component fragility functions to be used to develop total building fragility and loss functions. The resulting fragilities can be used as a probabilistic vulnerability function to be assigned to a real community based on building archetype and occupancy. The ability to develop flood fragility curves for buildings without the need for empirical field data is the primary contribution of this work.
[ 1-s2.0-s0951832019313262-main.pdf ]
© Đại học Đà Nẵng
 
 
Địa chỉ: 41 Lê Duẩn Thành phố Đà Nẵng
Điện thoại: (84) 0236 3822 041 ; Email: dhdn@ac.udn.vn