Characterization of a traveling object with an underground cluster of accelerometers

O. Drori, Eyal Levenberg

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper tackled the problem of characterizing an object moving along a surface by means of a buried cluster of accelerometers. Sought characteristics include: path and speed of movement, number and spatial configuration of contact areas, and relative weight distribution across loaded zones. The suggested solution technique was based on solving an inverse problem. For this purpose the passing event was first simulated in a quasi-static mechanical model, and the unknowns were obtained from best matching measured and computed accelerations. The basic solution technique was demonstrated for synthetic acceleration traces generated under ideal conditions. A slightly modified solution technique was proposed for dealing with realistic/field data. Overall, the idea and solution approach are deemed workable, well suited for wireless implementation, and worthy of further development attention.
Original languageEnglish
Title of host publicationTransforming the Future of Infrastructure through Smarter Information : Proceedings of the International Conference on Smart Infrastructure and Construction
PublisherICE Publishing
Publication date2016
Pages349-356
ISBN (Print)978-0-7277-6127-9
DOIs
Publication statusPublished - 2016
Externally publishedYes
EventInternational Conference on Smart Infrastructure and Construction - Robinson College, Cambridge, United Kingdom
Duration: 27 Jun 201629 Jun 2016

Conference

ConferenceInternational Conference on Smart Infrastructure and Construction
LocationRobinson College
CountryUnited Kingdom
CityCambridge
Period27/06/201629/06/2016

Cite this

Drori, O., & Levenberg, E. (2016). Characterization of a traveling object with an underground cluster of accelerometers. In Transforming the Future of Infrastructure through Smarter Information: Proceedings of the International Conference on Smart Infrastructure and Construction (pp. 349-356). ICE Publishing. https://doi.org/10.1680/tfitsi.61279.349