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Shear stress-slip curves were developed for degraded CFRP-steel composite using the experimentally measured strain data.
The measured strain data are used to quantify the bridging tractions associated with each specimen thickness and consequently the energy release rate (ERR) due to the bridging.
The measured strain data had a good parallelism and reproducibility.
This study investigates dynamic structural displacements estimation using displacement strain relationship and measured strain data.
GDFs are calculated from measured strain data collected during traffic events at the Powder Mill Bridge in Barre, Massachusetts.
The measured strain data was then used to calculate prestress losses in the first six months after casting (prior to casting of the in-situ concrete bridge deck).
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The first set of Neural Networks (NN) were trained using random data as inputs, measured strain values were introduced as input into the already trained neural network to access the training algorithm and quantify the accuracy of the static load prediction produced by the trained NN.
Kang, et al. [102], investigated the dynamic structural displacements estimation using the displacement strain relationship and measured the strain data using fiber Bragg grating.
Ideally, one would compare the performance of different material models using a complete set of data on regional material properties, experimentally measured strains, and strains from an FE model derived from a single individual.
Bone strain data collected ex vivo shows that the telemetry unit can measure strain with an accuracy comparable to a more expensive benchtop data acquisition system.
A low pass filter (LPF) is used on the raw strain data, and the cutoff frequency was determined using a data logger (which was used throughout the experiment to measure strain) [17].
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