AuthorsS. Gautam, N. Bhattarai, B. K. Nyaupane, R. Rimal, B. Mandal and N. B. Adhikari
TitleMotion sensing and ageing prediction of the Kupondole-Thapathali Bagmati bridge using Machine Learning and Time-series analysis
AfilliationCommunication Systems, Software Engineering
Project(s)No Simula project
StatusPublished
Publication TypePoster
Year of Publication2020
PublisherStudent Research Symposium on Earthquake
Place PublishedKathmandu, Nepal
Abstract

This project, for the first time in its nature, introduces a new research paradigm of remote motion sensing for health monitoring of civil construction in the public safety domain in Nepal. Preliminary data from a piloting study from BRB encourages us to move forward with an ageing analysis of such civil structures. Students from DoECE at IOE, Pulchowk Campus will collaborate to test network configurations and hardware types. One such configuration will be a Master/Slave configuration over Raspberry Pi Server with Bluetooth 5.0 and multiple Arduino BLE Kits. The data collected will create an opportunity to study vehicle mobility and its impact on the bridge as well as over other multiple domains which we are very open for collaborations.

URLhttps://rgdoi.net/10.13140/RG.2.2.31727.18089
DOI10.13140/RG.2.2.31727.18089
Citation KeySushantGautam_Nirdesh_Nyaupane_Rimal_Mandal_Adhikari_2020

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