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I n t e r n a t i o n a l C o n f e r e n c e o n

Structural and Civil Engineering

Research

JET 2018

ISSN: 2319-9873

O c t o b e r 0 1 - 0 2 , 2 0 1 8

Am s t e r d a m , N e t h e r l a n d s

Civil Engineering 2018

Page 20

D

espite tremendous rise in sensor and information technologies in the last

four decades, structural health monitoring (SHM) discipline remained limited

by structure scale applications. Advanced systems, instrumentation, and labour

requirements obstructed widespread use of sensor technologies to monitor civil

infrastructure. However, advent of smartphones is radically changing sensing

notion with ubiquitous devices and citizen participation. Up to date examples

show that smartphones can be used for monitoring of structural vibrations and

produce valuable decision making tools for infrastructure authorities. This study

merges latest advances in smartphone based SHM implementations with a broad

perspective. Utilizing smartphone sensors through ordinary citizens, structural

vibration data can be acquired at no cost and can be processed to diagnose

structural characteristics, e.g. modal parameters. Smart monitoring tools and

signal processing techniques can be adopted to eliminate citizen induced

uncertainties from crowdsensed vibration data. The identified structural features

can be used to calibrate theoretical models and improve accuracy and eventually

conduct seismic performance evaluation or reliability assessment with updated

models. In summary, from early feasibility tests to necessary crowdsourcing

software platforms and from modal identification to model updating, seismic

reliability estimation with calibrated models can be done. In this study, a new

smart city concept is presented towards better and safer structural systems with

modern sensing principles.

A mobile crowdsourcing path to SHM-integrated

seismic reliability assessment

Ekin Ozer

Middle East Technical University, Northern Cyprus Campus, Turkey

Ekin Ozer, JET 2018 Volume: 7

Biography

Ekin Ozer, after completing his BSc and MSc from Bogazici

University Civil Engineering Department, has completed his

PhD from Columbia University, Department of Civil Engineering

and Engineering Mechanics. His work constituted the first

crowdsourcing examples in vibration-based structural health

monitoring field and produced numerous international journal

publications scoping sensor technologies and smart structures.

After working with Novum Structures specialized in steel and

glass components and cladding systems, currently, he is with

Middle East Technical University as an Assistant Professor

eo2327@columbia.edu