Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/63702
Title: Reliability of updating civil engineering dynamic systems using vibration data
Authors: Diong, Kim Jun
Keywords: DRNTU::Engineering::Civil engineering
Issue Date: 2015
Abstract: The evaluation of structural reliability is essential for both of the design and operation stage of the dynamic system. During the design stage, attention has to be paid to the uncertain factors that influence the safety issues of system. Hence, besides the uncertain excitation undergone by the structure needs to be considered, the structural model uncertainties due to modeling errors should also be taken into account. Consequently, the structural system robust reliability has been computed. During the operation stage, the system condition may alter progressively that causes a great reduction of its reliability. Therefore, reassessment of the reliability of the system plays a significant role in providing the estimate of updated reliability to determine possible unsafe structures after it has been constructed by observing its dynamic response. The main objective of this report is to update the structural system robust reliability using dynamic vibration data given proposed method with the assistance of Monte Carlo Simulation and Bayesian model updating based on Gibbs sampling algorithm. Application of the methodology to an example of 4-DOF shear building model is used to express the efficiency of proposed method.
URI: http://hdl.handle.net/10356/63702
Schools: School of Civil and Environmental Engineering 
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 
Reliability of Updating Civil Engineering Dynamic Systems Using Vibration Data (Final Report).pdf
  Restricted Access
3.32 MBAdobe PDFView/Open

Page view(s)

331
Updated on Jun 16, 2024

Download(s)

10
Updated on Jun 16, 2024

Google ScholarTM

Check

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