Seismic Loss Estimation Using Experimental Fragility and Vulnerability Functions: Case Study of Buzau County, Romania

2022 ◽  
Vol 23 (1) ◽  
pp. 05021016
Author(s):  
Florin Pavel ◽  
Andreea Dutu ◽  
Ehsan Noroozinejad Farsangi
Keyword(s):  
Loss Estimation ◽  
Seismic Loss ◽  
Vulnerability Functions

Seismic loss estimation tool as rapid survey for prioritizing buildings for disaster preparedness: case study to hospital buildings

2018 ◽  
Vol 95 (3) ◽  
pp. 769-781
Author(s):  
Radhikesh Prasad Nanda ◽  
Nilendu Krishna Paul ◽  
Ningthoujam Monika Chanu
Keyword(s):  
Disaster Preparedness ◽  
Loss Estimation ◽  
Seismic Loss

Performance group weighting factors for rapid seismic loss estimation of buildings of different usage

2020 ◽  
Vol 36 (3) ◽  
pp. 1141-1165 ◽  
Author(s):  
Shreedhar Khakurel ◽  
Rajesh P Dhakal ◽  
Trevor Z Yeow ◽  
Sandip K Saha
Keyword(s):  
Loss Estimation ◽  
Specific Information ◽  
Design Practice ◽  
Structural Components ◽  
Weighting Factors ◽  
Performance Group ◽  
Probabilistic Distribution ◽  
Seismic Loss ◽  
Distribution Parameters

Despite significant progress made recently on simplifying the loss estimation procedures, they are not easy to use in engineering design practice. One of the reasons for this is insufficient information regarding the inevitable variations in the type and density of structural and non-structural components present in various building usages. This study aims to establish building usage groups with similar proportions of structural and non-structural components and compute the corresponding weighting factors. The methodology adopted in this study can be used in other regions; however, herein concluded values and building usage groups are based on New Zealand–specific information. The method involves extracting component construction/installation costs from construction handbooks for a range of different building usages, assembling components into three performance groups (structural, drift-sensitive non-structural, and acceleration-sensitive non-structural), then grouping the building types based on similar structural and non-structural component costs. Four different building usage groups are identified, and probabilistic distribution parameters of the performance group weighting factors for each group are proposed. A case study demonstrating the application of these weighting factors in seismic loss estimation is provided.

SURVEY OF DWELLING BUILDINGS FOR SEISMIC LOSS ASSESSMENT AT URBAN SCALE: THE CASE STUDY OF 18 VILLAGES IN VAL D'AGRI, ITALY

2014 ◽  
Vol 13 (2) ◽  
pp. 471-486 ◽  
Author(s):  
Angelo Masi ◽  
Leonardo Chiauzzi ◽  
Carmelinda Samela ◽  
Luigi Tosco ◽  
Marco Vona
Keyword(s):  
Loss Assessment ◽  
Seismic Loss ◽  
Seismic Loss Assessment

scholarly journals Probabilistic Seismic Direct Loss Estimation for Ports, Case study: Pars Asaluyeh port

2020 ◽  
Vol 3 (4) ◽  
pp. 9-17
Author(s):  
Seyed Farshid Montazeri ◽  
Rouhollah Amirabadi ◽  
◽  
Keyword(s):  
Loss Estimation ◽  
Direct Loss

Current status and perspectives on seismic monitoring of structures and rapid seismic loss estimation in Romania

2021 ◽  
Author(s):  
Alexandru Tiganescu ◽  
Dragos Toma-Danila ◽  
Bogdan Grecu ◽  
Iolanda-Gabriela Craifaleanu ◽  
Stefan Florin Balan ◽  
...  
Keyword(s):  
Seismic Monitoring ◽  
Loss Estimation ◽  
Current Status ◽  
Seismic Loss
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