Probabilistic seismic risk assessment framework: case study Adapazari, Turkey

被引:2
|
作者
Sianko, Ilya [1 ]
Ozdemir, Zuhal [1 ]
Hajirasouliha, Iman [1 ]
Pilakoutas, Kypros [1 ]
机构
[1] Univ Sheffield, Dept Civil & Struct Engn, Sheffield, England
关键词
Seismic risk assessment; Seismic loss estimation; Vulnerability curves; Exposure model; Monte-Carlo (MC) simulations; Adapazari; Turkey; Earthquake scenario; 17; AUGUST; 1999; VULNERABILITY ASSESSMENT; BUILDING-DAMAGE; EARTHQUAKE DAMAGE; MID-RISE; HAZARD ASSESSMENT; MARMARA REGION; GROUND FAILURE; MODELS; REEXAMINATION;
D O I
10.1007/s10518-023-01674-2
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
While earthquakes can have a devastating impact on the economic growth and social welfare of earthquake prone regions, probabilistic seismic risk assessment can be employed to assess and mitigate such risks from future destructive events. In a previous study (Sianko et al. in Bull Earthq Eng 18:2523-2555, 2020), a probabilistic seismic hazard analysis (PSHA) tool based on the Monte-Carlo approach, was developed to predict the seismic hazard for high seismicity areas. In this study, a seismic risk assessment framework is developed incorporating the previously developed PSHA tool, with vulnerability functions based on various damage criteria, exposures and casualty models. Epistemic uncertainty is addressed using logic trees and distribution functions. The developed seismic risk assessment framework can estimate human and economic losses for particular return periods using an event-based stochastic procedure. The framework is applied to a case study area, the city of Adapazari in Turkey. Seismic risk assessment is carried out for different return periods to identify the most vulnerable areas of the city. The verification of the developed seismic risk framework is performed by comparing the predicted seismic losses to those observed during the 1999 Kocaeli earthquake that severely affected the city of Adapazari. The results of the study indicate that while overall predictions for extensive and complete damage states demonstrate strong correlation with the observed data, accurate risk predictions at the district level are not achievable without microzonation studies.
引用
收藏
页码:3133 / 3162
页数:30
相关论文
共 50 条
  • [41] The Space Shuttle Probabilistic Risk Assessment Framework
    Hsu, Feng
    PROCEEDINGS OF THE 2008 7TH IEEE INTERNATIONAL CONFERENCE ON CYBERNETIC INTELLIGENT SYSTEMS, 2008, : 1 - 9
  • [42] Probabilistic assessment of the seismic risk based on stiffness degradation
    Barbat, A. H.
    Vargas, Y. F.
    Pujades, L. G.
    Hurtado, J. E.
    REVISTA INTERNACIONAL DE METODOS NUMERICOS PARA CALCULO Y DISENO EN INGENIERIA, 2016, 32 (01): : 39 - 47
  • [43] Probabilistic seismic demand model for pounding risk assessment
    Tubaldi, Enrico
    Freddi, Fabio
    Barbato, Michele
    EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS, 2016, 45 (11): : 1743 - 1758
  • [44] Probabilistic seismic risk assessment for the Eastern Himalayas, China
    Li, Changlong
    Li, Zongchao
    Lyu, Hongshan
    Gao, Mengtan
    EARTHQUAKE SPECTRA, 2021, 37 (04) : 2714 - 2736
  • [45] A MODEL FOR PROBABILISTIC SEISMIC RISK ASSESSMENT OF PROCESS PLANTS
    Caputo, Antonio C.
    PROCEEDINGS OF THE ASME PRESSURE VESSELS AND PIPING CONFERENCE, 2016, VOL 8, 2017,
  • [46] PROBABILISTIC ASSESSMENT OF SEISMIC RISK FOR NUCLEAR POWER PLANTS
    CHALAPAT.CV
    WALL, IB
    TRANSACTIONS OF THE AMERICAN NUCLEAR SOCIETY, 1969, 12 (02): : 684 - &
  • [47] Geotechnical Fragility Analysis for Seismic Probabilistic Risk Assessment
    Tastan, Erdem O.
    GEO-RISK 2017: GEOTECHNICAL RISK ASSESSMENT AND MANAGEMENT, 2017, (285): : 399 - 411
  • [48] SEISMIC QUALIFICATION OF EQUIPMENT BY MEANS OF PROBABILISTIC RISK ASSESSMENT
    AZARM, MA
    FARAHZAD, P
    BOCCIO, JL
    TRANSACTIONS OF THE AMERICAN NUCLEAR SOCIETY, 1982, 43 : 468 - 470
  • [49] Probabilistic seismic landslide hazard assessment: a case study in Tianshui, Northwest China
    Wang Tao
    Liu Jia-mei
    Shi Ju-song
    Gao Meng-tan
    Wu Shu-ren
    JOURNAL OF MOUNTAIN SCIENCE, 2020, 17 (01) : 173 - 190
  • [50] Fuzzy—probabilistic seismic hazard assessment, case study: Tehran region, Iran
    Elham Boostan
    Nadia Tahernia
    Ali Shafiee
    Natural Hazards, 2015, 77 : 525 - 541