Issue |
E3S Web Conf.
Volume 85, 2019
EENVIRO 2018 – Sustainable Solutions for Energy and Environment
|
|
---|---|---|
Article Number | 08010 | |
Number of page(s) | 10 | |
Section | Other Topics in Built Environment | |
DOI | https://doi.org/10.1051/e3sconf/20198508010 | |
Published online | 22 February 2019 |
State of art regarding to quantify the consequences associated with building response to an earthquake shaking
1
Technical University of Civil Engineering Bucharest, 122-124 Lacul Tei Bvd., Bucharest, Romania
2
Al-Mustaqbal University College, Babylon, Iraq
* Corresponding author: alimajdi67@gmail.com
Earthquake loss estimation (ELE) refers to the analysis and study of the possible effects of an earthquake in a region or population and quantifies the consequences of the earthquake. The objective of this study is to provide an insight into earthquake loss estimation for the most common approaches by seeking to survey the current methodologies for quantifying the earthquakes' negative effects. Naturally, peoples search about desirable approaches to estimate of earthquakes costs and losses which are not predetermined to subsist as usual. Other issues related to those approaches are endeavor to achieve the state of art to quantify the earthquakes consequences, the aspects of a building's response to earthquake. The aspects that will be characterized in this research are: 1) Input data like building information (Structure system, location, occupation, etc.), earthquake hazard; 2) Analysis methods; 3) Output data. ELE methods are categorized in different ways depending on one or more parameter. ELE approaches into two groups (1-a shocked building stock in a specific city or settlement, 2-specific building or structure). The varying and common use have been observed when selecting the approaches of this research. The methods and tools that used in the exploration include QLARM, SELENA, ELER, HAZUS, SLAT and FEMA P-58.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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