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Bridge weigh-in-motion systems are based on the measurement of strain on a bridge and the use of the measurements to estimate
the static weights of passing traffic loads. Traditionally, commercial systems employ a static algorithm and use the bridge
influence line to infer static axle weights. This paper describes the experimental testing of an algorithm based on moving
force identification theory. In this approach the bridge is dynamically modeled using the finite element method and an eigenvalue
reduction technique is employed to reduce the dimension of the system. The inverse problem of finding the applied forces from
measured responses is then formulated as a least squares problem with Tikhonov regularization. The optimal regularization
parameter is solved using the L-curve method. Finally, the static axle loads, impact factors and truck frequencies are obtained
from a complete time history of the identified moving forces. 相似文献
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