The effects of variability on damage identification with inductive learning
This work discusses the effects of inherent variabilities on the damage identification problem. The goal of damage identification is to detect structural damage before it reaches a level which will detrimentally affect the structure’s performance. Inductive learning is one tool which has been propos...
Main Author: | Snyder, Thomas D. |
---|---|
Other Authors: | Mechanical Engineering |
Format: | Others |
Language: | en |
Published: |
Virginia Tech
2014
|
Subjects: | |
Online Access: | http://hdl.handle.net/10919/42160 http://scholar.lib.vt.edu/theses/available/etd-04182009-041440/ |
Similar Items
-
Damage identification using inductive learning
by: Tappert, Peter M.
Published: (2014) -
Effects of earthquakes on partially-filled water tanks
by: Koyama, Junji
Published: (2014) -
The Auditory Affective Verbal Learning test: peripheral arousal correlates and implications for the lateralized priming of dichotic prosody identification
by: Snyder, Katharine A.
Published: (2014) -
Impact damage evaluation of high performance polymeric composite material systems
by: Peters, Diane S.
Published: (2014) -
The specificity of bacteriophages for different strains of Esch. coli and Esch. communior
by: Boyd, John Otto
Published: (2015)