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Global optimization (GO) is one of the key numerical tools in computational physics.
Quasi-Monte Carlo (QMC) methods are important numerical tools in computational finance.
This leads to the more and more frequent use of performance-based numerical tools in fire protection engineering, especially for the life safety design.
Results from the tests are also given so that they can be used to validate numerical models and promote the use of numerical tools in aircraft design and certification process.
However, the lack of key material properties for Si/LixSi, especially the Li diffusivity in Si, has prevented the efficient use of such numerical tools in the design of lithium-ion batteries with Si anodes.
Then, the output can be later analyzed and studied by the analytical and numerical tools in the software package Mathematica.
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The work deals with the development of an effective numerical tool in the form of pseudospectral method for wave propagation analysis in anisotropic and inhomogeneous structures.
The JH-1 model in AUTODYN is shown to be a powerful numerical tool in the design and analysis of ceramic armor systems.
The aim is to develop a numerical tool in order to study the behavior of prestressed Hollow Core (HC) slabs in the event of fire.
The differential quadrature method (DQM) as an efficient and accurate numerical tool in conjunction with a direct iterative method is adopted to obtain the nonlinear vibration frequencies of nanobeams subjected to different boundary conditions.
These examples show that the weak parts in large multi-component structural systems are properly identified and that the methods developed may become an important numerical tool in designing steel structures.
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