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The full long-term method is considered the most accurate approach, but it requires tremendous computational effort for complicated structures, especially when nonlinearities must be considered.
It was found that some methods have the potential to save tremendous computational effort for certain types of limit state functions.
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However, since the neural model presented in this work has accuracy and requires no tremendous computational efforts and less background information about the thermoluminescence and dosimeter, it can be very useful for the layered single crystals.
The splitting of the three-dimensional beam problem into two- and one-dimensional parts, called dimensional reduction, results in a tremendous savings of computational effort relative to the cost of three-dimensional finite element analysis, the only alternative for realistic beams.
Generation of pushover curve from analysis for reinforced concrete structure involves tremendous amount of computational efforts as the input data for analysis itself is quite exhaustive.
This significantly reduces the computational effort.
This approach, however, requires high computational effort.
The main drawback is the computational effort.
Detailed micro-modelling requires much computational effort.
The computational effort involved is negligible.
Iterative reconstruction algorithms pose tremendous computational challenges for 3D Electron Tomography (ET).
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