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Different ground motion simulation methods provide varying levels of goodness of fit between observed and synthetic data.
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This paper has shown a numerical motion simulation method which can be employed to study on parametric rolling of ships in a seaway.
Compared with other ground-motion simulation methods, such as the deterministic or hybrid approach, the advantages of the stochastic method are its independence of small earthquake selection and good performance at both low and high frequencies (Motazedian and Atkinson 2005).
The aim of this study was to validate a CT-based motion simulation software method that has already been validated for other joints [ 16, 19], in the context of FAI, and to evaluate the method's applicability for the diagnostic work-up of FAI in a prospective cohort follow-up study of FAI patients.
In this paper, the improvement for the breaststroke, creation of swimming motion, and experimental and simulation methods are explained.
Thus, we achieved satisfactory results in the use of HVSR for site correction to improve the ground motion simulation using the stochastic method.
They applied the two methods to the motion simulation of polymer, DNA, or other macromolecules in water.
This paper presents on-going challenges in the present paradigm shift of earthquake-induced ground motion prediction from empirical to physics-based simulation methods.
Motion simulation results of a three-glider fleet motion controlled by this method has been achieved in our early work (more details see Refs. [22, 33]).
Two-dimensional simulation results indicate that the present multiscale method is effective for modeling of motion of nanoparticles in the dense suspension and provides more rational results for self-organization of nanoparticles than previous simulation methods.
Supplementary text 1.1: Simulation methods.
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