Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/67422
Title: ST-17AB : Optimal sensor placement for nonlinear dynamic model updating and response prediction of civil engineering structures subjected to future uncertain dynamic loadings
Authors: Udhaya Kumar, Saravanan
Keywords: DRNTU::Engineering
Issue Date: 2016
Abstract: This project is undertaken to ascertain the precise points where sensors, to collect system vibration data, can be placed on a structure so that the greatest and most reliable yield of information can be extracted. A statistical methodology is adopted to compute inevitable uncertainty present in the model parameters as well as any uncertainty arising due to model assumptions. This is done by estimating a range of values approximately close to the ‘true’ value using Bayesian statistical procedure. Information entropy theory dictates that a measure of these uncertainties can predict the most optimal location for the sensor. Thus, information entropy is calibrated for a heuristic model to determine a minimal error from a unique combination across a set of sensor placement combinations. The calibration is used to handle small uncertainty in the initial inputs fed into the dynamic model. The amended model can then be used accurately to make reasonable predictions of the behaviour of the system when it is subjected to a future uncertain dynamic loading. Moreover, the project intends to explore if output errors are reduced for placing more than one sensor at its optimal location
URI: http://hdl.handle.net/10356/67422
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:CEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Final Year Report Saravanan.pdf
  Restricted Access
1.96 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.