A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Structural health monitoring of progressive damage
Structural health monitoring requires tracking the progression of damage in a structure over time. In this paper, we propose a model for progressive damage that utilizes a hidden Markov model where multiple states represent the severity and type of damage. Sensor observations are generated according to a process conditional on each state. An efficient algorithm for sequential inference of damage from collected data is proposed and tested using experimental data from a structural frame. Copyright © 2015 John Wiley & Sons, Ltd.
Structural health monitoring of progressive damage
Structural health monitoring requires tracking the progression of damage in a structure over time. In this paper, we propose a model for progressive damage that utilizes a hidden Markov model where multiple states represent the severity and type of damage. Sensor observations are generated according to a process conditional on each state. An efficient algorithm for sequential inference of damage from collected data is proposed and tested using experimental data from a structural frame. Copyright © 2015 John Wiley & Sons, Ltd.
Structural health monitoring of progressive damage
Mollineaux, M. (author) / Rajagopal, R. (author)
Earthquake Engineering & Structural Dynamics ; 44 ; 583-600
2015-04-10
18 pages
Article (Journal)
Electronic Resource
English
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