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The averages of the J-integral values are used to determine the normalized Stress Intensity Factors which are then benchmarked with existing analytical solutions in special cases.
Benchmarked with existing methods such as Tophat and others, OSA improves mapping speed 4 10 fold, with better sensitivity and fewer false positives.
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The efficacy of the proposed method is verified by applying the algorithm on the fourth order inverted pendulum system simulated on Matlab/Truetime simulator and the performance is benchmarked with the existing CAN error management protocol.
We have compared and benchmarked the system with existing methods.
By comparing the results obtained for all the benchmark problems studied with existing ones, it is demonstrated that the present formulation is capable of predicting large displacements and rotations, as well as the postbuckling paths of space frames.
We have also benchmarked our identified ghost cities with existing rankings, the Baidu searching engine and night-time light images.
Our results also agree well with existing benchmark data obtained by other methods.
Numerical results are presented contrasting the three expansion methods and comparing them with existing benchmark results.
The numerical results obtained using the Lagrangian approaches for the benchmark test are compared with existing experimental and numerical results.
We demonstrate the efficiency of our algorithm, comparing its performance on several "benchmark" large-scale graphs with existing methods.
Several numerical examples are presented to investigate the accuracy, convergence of accuracy and computational efficiency of studied mesh-free formulation for boundary value problems with existing benchmark solutions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com