A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
RBFN‐based temperature compensation method for impedance monitoring in prestressed tendon anchorage
In this study, a temperature compensation method based on radial basis function network (RBFN) is developed to monitor damage‐induced impedance signatures in prestressed tendon anchorages under temperature variation. First, an impedance monitoring technique via a piezoelectric interface device is outlined for prestress‐loss detection in the tendon anchorage system. Second, an RBFN‐based algorithm is designed to filter out the temperature‐induced variation in impedance signatures for damage monitoring. Finally, the feasibility of the proposed algorithm is verified for the prestress‐loss monitoring in the test structure under the temperature‐varying condition. A series of impedance measurements are conducted for the temperature‐varying and prestress force‐varying conditions. The RBFN‐based algorithm is used to train a set of baseline impedance signatures for varying temperatures, and also to quantify damage‐induced impedance signatures of the test structure. The effect of the size of RBFN training patterns on the accuracy of the proposed temperature compensation algorithm is also evaluated.
RBFN‐based temperature compensation method for impedance monitoring in prestressed tendon anchorage
In this study, a temperature compensation method based on radial basis function network (RBFN) is developed to monitor damage‐induced impedance signatures in prestressed tendon anchorages under temperature variation. First, an impedance monitoring technique via a piezoelectric interface device is outlined for prestress‐loss detection in the tendon anchorage system. Second, an RBFN‐based algorithm is designed to filter out the temperature‐induced variation in impedance signatures for damage monitoring. Finally, the feasibility of the proposed algorithm is verified for the prestress‐loss monitoring in the test structure under the temperature‐varying condition. A series of impedance measurements are conducted for the temperature‐varying and prestress force‐varying conditions. The RBFN‐based algorithm is used to train a set of baseline impedance signatures for varying temperatures, and also to quantify damage‐induced impedance signatures of the test structure. The effect of the size of RBFN training patterns on the accuracy of the proposed temperature compensation algorithm is also evaluated.
RBFN‐based temperature compensation method for impedance monitoring in prestressed tendon anchorage
Huynh, Thanh‐Canh (author) / Kim, Jeong‐Tae (author)
2018-06-01
17 pages
Article (Journal)
Electronic Resource
English
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