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Damage Identification using Inverse Methods
MI Friswell
Department of Aerospace Engineering
Research output
:
Contribution to journal
›
Article (Academic Journal)
›
peer-review
315
Citations (Scopus)
Overview
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Dive into the research topics of 'Damage Identification using Inverse Methods'. Together they form a unique fingerprint.
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Engineering
Damage Detection
33%
Damage Location
33%
Environmental Impact
33%
Health Monitoring
33%
Inverse Method
100%
Large Number
33%
Localisation
33%
Losses
33%
Modeling Error
33%
Models
66%
Regularization
33%
Small Number
33%
Physics
Detection
33%
Environmental Effect
33%
Independent Variables
100%
Knowledge
33%
Mathematical Model
33%
Model
66%
Position (Location)
100%
Vibration
33%
Computer Science
Detection
33%
Environmental Effect
33%
Identification
100%
Inverse Problem
33%
Modeling Error
33%
Models
66%
Regularization
33%
Economics, Econometrics and Finance
Knowledge
33%
Location
66%
Loss
33%