Stochastic structural dynamic model updating and reliability prediction of a building using vibration data
Evaluation the accuracy of updating structural model can provide an analytical way to effectively apply in structural health monitoring of existing structures. Laplace’s approximation and Gibbs sampling methods are two existing updating techniques upon to the frame base of Bayesian statistic; the co...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/53842 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Evaluation the accuracy of updating structural model can provide an analytical way to effectively apply in structural health monitoring of existing structures. Laplace’s approximation and Gibbs sampling methods are two existing updating techniques upon to the frame base of Bayesian statistic; the comparison in efficiency between these two techniques will be handled in this research. The objective is to clarify the effectiveness of using Laplace’s approximation and Gibbs sampling method in each particular case with different number of given data and iterative time. The process is also illustrated by applying it to the example of single degree of undamped dynamic structural model. |
|---|