Design and simulation of a green bi-variable mono-parametric SHM node and early seismic warning algorithm for wave identification and scattering

dc.contributor.author Touati, Farid
dc.contributor.author Tariq, Hasan
dc.contributor.author Crescini, Damiano
dc.contributor.author Mnaouer, Adel Ben
dc.date.accessioned 2020-01-29T08:41:15Z
dc.date.available 2020-01-29T08:41:15Z
dc.date.copyright 2018 en_US
dc.date.issued 2018
dc.description This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC) (2018), available online at: https://doi.org/10.1109/IWCMC.2018.8450277. en_US
dc.description.abstract Early seismic warning systems are key for safe future scalable infrastructures. In this work, a dual variable i.e. vibration and line of sight (LOS) based structure health monitoring (SHM) node is designed to sense tilt angle for early seismic warning and wave scattering detection. The SHM node, consisting of high-precision five bi-axis tiltmeters and five Blue-Violet laser diodes transmitter/receiver/reflector(LDTRR) assembly, has been designed and simulated in Proteus 7ISIS, MATLAB 7 and drafted in AutoCAD. In AutoCAD, a four LDTRR assembly is oriented at the bottom of building and its four co-planer reflectors have been orthogonally placed at effective radii with respect to the characteristic wavelengths of P, S, and Rayleigh whilst Love seismic waves, and one reflector is placed at the bottom of building. PV umbrella with a Li-ion battery has been used for green ergonomic shape. The time plots from real tiltmeter sensor nodes and data acquired from the proposed SHM node show similar behavior and results. The derived parameters of wavelength S, i.e. seismic parameter F,varied linearly from safe to hazardous seismic conditions. The variation from safe seismic to hazardous seismic transition of randomly simulated environment, also varied network traffic in GPS module as per defined threshold of sensor variables in Proteus ISIS Electronics Design Automation (EDA) engine. As per early warning evaluation functions (EWEF), the proposed design for early seismic warning algorithm (ESWA) can be a cost-effective analytics resource for any scalable SHM solution for observation range within 5km+ radius at low cost and 20km at moderate/high cost. © 2018 IEEE. en_US
dc.description.sponsorship Qatar National Research Fund Qatar Foundation en_US
dc.identifier.citation Touati, F., Tariq, H., Crescini, D., & Manouer, A. B. (2018). Design and simulation of a green bi-variable mono-parametric SHM node and early seismic warning algorithm for wave identification and scattering. In 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018 (pp. 1459–1464). https://doi.org/10.1109/IWCMC.2018.8450277 en_US
dc.identifier.isbn 9781538620700
dc.identifier.uri http://dx.doi.org/10.1109/IWCMC.2018.8450277
dc.identifier.uri https://hdl.handle.net/20.500.12519/59
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation Authors Affiliations: Touati, F., Department of Electrical Engineering, College of Engineering, Qatar University, Doha, Qatar; Tariq, H., Department of Electrical Engineering, College of Engineering, Qatar University, Doha, Qatar; Crescini, D., Brescia University, Brescia, Italy; Manouer, A.B., Canadian University of Dubai, Dubai, United Arab Emirates
dc.relation.ispartofseries 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018;
dc.rights Permission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.holder Copyright : 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.rights.uri https://www.ieee.org/publications/rights/rights-policies.html
dc.subject Early Warning Algorithm en_US
dc.subject Seismic Warning en_US
dc.subject Sensor Node en_US
dc.subject Tiltmeters en_US
dc.subject Utility Duct en_US
dc.subject Computer aided design en_US
dc.subject Cost effectiveness en_US
dc.subject Hazards en_US
dc.subject Lithium compounds en_US
dc.subject Lithium-ion batteries en_US
dc.subject MATLAB en_US
dc.subject Mobile computing en_US
dc.subject Reflection en_US
dc.subject Seismology en_US
dc.subject Structural health monitoring (SHM) en_US
dc.subject Wireless telecommunication systems en_US
dc.subject Blue-violet laser diodes en_US
dc.subject Design and simulation en_US
dc.subject Early warning en_US
dc.subject Electronics design automation en_US
dc.subject Scalable infrastructure en_US
dc.title Design and simulation of a green bi-variable mono-parametric SHM node and early seismic warning algorithm for wave identification and scattering en_US
dc.type Conference Paper en_US
Files
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: