Enhancing the sensitivity of electrostatically actuated resonant switch for earthquake detection

Abdallah H. Ramini*, Mohammad I. Younis

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Enhancing the sensitivity of an electrostatically actuated resonant switch (EARS) for earthquake detection is investigated. The resonator is proposed to operate close to instability bands of frequency-response curves, where it is forced to pull-in if operated within these bands. By careful tuning, the resonator can be made to enter the instability zone upon the detection of the earthquake signal, thereby pulling-in as a switch. Such a switching action can be functionalized for alarming purposes or can be used to activate a network of sensors for seismic activity recording. By placing such a resonator on a printed circuit board of a natural frequency close to that of the earthquake's frequency, significant improvement on the detection limit of this switch is achieved. In this work, nonlinear Single-Degree-Of-Freedom (SDOF) and 2-Degree-Of-Freedom (2-DOF) models are used to simulate the performance of the switch concept.

Original languageEnglish (US)
Title of host publicationASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011
Pages235-243
Number of pages9
DOIs
StatePublished - 2011
Externally publishedYes
EventASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011 - Washington, DC, United States
Duration: Aug 28 2011Aug 31 2011

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume7

Other

OtherASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011
Country/TerritoryUnited States
CityWashington, DC
Period08/28/1108/31/11

ASJC Scopus subject areas

  • Modeling and Simulation
  • Mechanical Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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