Assembly-based flood repair cost and time models for industrial buildings in Turkey

Name: Assembly-based flood repair cost and time models for industrial buildings in Turkey
Author: Ölmez, Hasan Numan, Deniz, Derya

İsim	Assembly-based flood repair cost and time models for industrial buildings in Turkey
Yazar	Ölmez, Hasan Numan, Deniz, Derya
Basım Tarihi:	2023-10
Basım Yeri	- Elsevier
Konu	Direct flood damage, Flood loss, Flood recovery, Industrial buildings, Repair cost, Repair time
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	0951-8320
Kayıt Numarası	e7353ade-2a89-4420-a133-ca7fc13d9572
Lokasyon	Civil Engineering
Tarih	2023-10
Notlar	TÜBİTAK
Örnek Metin	Flooding is one of the most frequent hazard events significantly affecting the industry in Turkey, leading to severe economic losses and business disruptions. To predict the direct flood losses and business downtimes on the industry, this study proposes probabilistic cost and time models of repairing direct physical flood damage to industrial buildings in Turkey. Using field notes and literature reviews, a typical industrial building was first disassembled into a list of building components vulnerable to flooding. With a focus on façade and interior building components, the flood damage potential of each component was assessed at different flood depths and velocities. Damage state relationships were established for the building components to connect their damage levels under flood actions to their individual repair work. Using the assembly-based approach, costs and times of repairing each flood-damaged component and their associated variabilities were assembled in a probabilistic approach to develop total flood repair cost and time models. The results show that typical repair costs and times for facilities subjected to significant flood depths and velocities might reach substantial levels, up to 28% of building replacement costs and 165 working days on average. The proposed models systematically incorporate existing important uncertainties, therefore, provide reliable estimates.
DOI	10.1016/j.ress.2023.109444
Cilt	238

Kaynağa git Özyeğin Üniversitesi

Aramaya Dön

Özyeğin Üniversitesi

Kaynağa git

Assembly-based flood repair cost and time models for industrial buildings in Turkey

Yazar Ölmez, Hasan Numan, Deniz, Derya

Basım Tarihi 2023-10

Basım Yeri - Elsevier

Konu Direct flood damage, Flood loss, Flood recovery, Industrial buildings, Repair cost, Repair time

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 0951-8320

Kayıt Numarası e7353ade-2a89-4420-a133-ca7fc13d9572

Lokasyon Civil Engineering

Tarih 2023-10

Notlar TÜBİTAK

Örnek Metin Flooding is one of the most frequent hazard events significantly affecting the industry in Turkey, leading to severe economic losses and business disruptions. To predict the direct flood losses and business downtimes on the industry, this study proposes probabilistic cost and time models of repairing direct physical flood damage to industrial buildings in Turkey. Using field notes and literature reviews, a typical industrial building was first disassembled into a list of building components vulnerable to flooding. With a focus on façade and interior building components, the flood damage potential of each component was assessed at different flood depths and velocities. Damage state relationships were established for the building components to connect their damage levels under flood actions to their individual repair work. Using the assembly-based approach, costs and times of repairing each flood-damaged component and their associated variabilities were assembled in a probabilistic approach to develop total flood repair cost and time models. The results show that typical repair costs and times for facilities subjected to significant flood depths and velocities might reach substantial levels, up to 28% of building replacement costs and 165 working days on average. The proposed models systematically incorporate existing important uncertainties, therefore, provide reliable estimates.

DOI 10.1016/j.ress.2023.109444

Cilt 238