DocumentCode :
2034130
Title :
A proposal to estimate seismic risk on buildings using WSN
Author :
Rodriguez Peralta, Laura M. ; Ismael-Hernandez, Eduardo
Author_Institution :
Eng. Dept., UPAEP Univ., Puebla, Mexico
fYear :
2015
fDate :
28-30 July 2015
Firstpage :
1170
Lastpage :
1177
Abstract :
This paper presents the preliminary results of a structural low-cost monitoring platform based on wireless sensor networks (WSN) to estimate the seismic risk of buildings. This platform will be able to estimate the structural vulnerability level of existing buildings and the seismic intensity level. This platform has been called as SAVER (Structural Analysis of VulnerabilitiEs of buildings through wiReless sensor networks). The expected results in SAVER project intend to give the basis for the analysis of buildings and gather instrumental data that can be useful for decision-making of institutions and users that are responsible for infrastructure and buildings. This is very important mainly in Countries prone to big earthquakes, as Mexico. Furthermore, in this project, we present the development and implementation of a new wireless sensor node. It is important to note, that this sensor node will be small size and low cost, capable of providing the necessary information to implement methods of vulnerability analysis and therefore, to estimate the seismic risk of buildings, such as hospitals or schools.
Keywords :
buildings (structures); decision making; earthquake engineering; structural engineering; wireless sensor networks; SAVER project; WSN; buildings; decision making; instrumental data; seismic intensity level; seismic risk; structural analysis; structural low-cost monitoring platform; structural vulnerability level; vulnerability analysis; wireless sensor networks; wireless sensor node; Acceleration; Buildings; Earthquakes; Maintenance engineering; Monitoring; Vibrations; Wireless sensor networks; Wireless Sensor Networks; network modeling; seismic risk; structural health; vulnerability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Science and Information Conference (SAI), 2015
Conference_Location :
London
Type :
conf
DOI :
10.1109/SAI.2015.7237293
Filename :
7237293
Link To Document :
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