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Two sequences (constant amplitude to block loads, or vice versa) with varying cutoff points during the sequencing are studied.
According to the NVIDIA CUDA Occupancy calculator, the occupancy of the multiprocessor is 100% and the maximum number of active blocks per multiprocessor is 4. First of all, each block loads 1024 pixels in the GPU shared memory, each thread loads four data.
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Tests were performed in two and four block loading under constant amplitude.
The block loading was repeated after certain time duration.
Different multiaxial multi-block loading and random block loading spectra were used to conduct variable amplitude fatigue tests on 2024-T4 alloynum alloy.
The block loading consisted of four sub-blocks and a total of 135 numbers of cycles.
The stress-time history was converted into block loading consisting of many sub-blocks.
The main focus is on designing a controller to perform desired block loading fatigue tests.
Block loading sequences with variations in the amplitude and the load ratio are computed.
This equation was verified for a block loading and found to accurately predict the delamination length.
Subsequently, the low-high block loading fatigue tests were performed on the specimens.
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