Structural damage identification using improved Jaya algorithm based on sparse regularization and Bayesian inference

Structural damage identification using improved Jaya algorithm based on sparse regularization and Bayesian inference

Structural damage identification can be considered as an optimization problem, by defining an appropriate objective function relevant to structural parameters to be identified with optimization techniques. This paper proposes a new heuristic algorithm, named improved Jaya (I-Jaya) algorithm, for str...

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Bibliographic Details
Main Authors: Ding, Z., Li, Jun, Hao, Hong
Format: Journal Article
Language:English
Published: ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD 2019
Subjects:
Science & Technology
Technology
Engineering, Mechanical
Engineering
Improved Jaya algorithm
Bayesian interference
Sparse regularization
Structural damage identification
Uncertainty
Measurement noise
VARYING ENVIRONMENTAL-CONDITIONS
BEE COLONY ALGORITHM
UNCERTAINTIES
FREQUENCY
PARAMETER
DIAGNOSIS
Online Access:http://purl.org/au-research/grants/arc/FL180100196
http://hdl.handle.net/20.500.11937/91515

Internet

http://purl.org/au-research/grants/arc/FL180100196
http://hdl.handle.net/20.500.11937/91515

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