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On the impact of prior perception on bridge health diagnosis
C. Cappello
, F. Bruschetta
, D. Zonta
, S. Maestranzi
, R. Zandonini
, M. Pozzi
,
B. Glisic
, D. Inaudi
, D. Posenato
Civil & Environmental Engineering
Keller Center for Innovation in Engineering Education
Princeton Materials Institute
Research output
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Keyphrases
Cable
100%
Bridge Health
100%
Bayesian Logic
100%
Interrogation System
100%
Health Diagnosis
100%
Monitoring System
50%
Prior Beliefs
50%
Optical Fiber Sensor
50%
Monitoring Data
50%
Sensor Data
50%
Change of Measure
50%
Rational Agents
50%
Sensor Response
50%
Load Redistribution
50%
Cable-stayed Bridge
50%
Structural Conditions
50%
Composite Steel-concrete Deck
50%
Mechanical Behavior
50%
Perceptions of Engineering
50%
Engineering
Optical Fiber
100%
Engineering
100%
Monitoring Data
100%
Monitoring System
100%
Sensor Data
100%
Composite Steel
100%
Sensor Response
100%
Cable Stayed Bridges
100%
Mechanical Property
100%
Case Study
100%