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A fast simulation method for debris cloud is developed at last, which is able to get detailed characteristic data of debris in short time.
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Current QRA methods for debris flow hazards are based primarily on empirical vulnerability functions that relate hazard intensity (depth, velocity, etc.) to expected levels of loss for a given asset of concern, i.e. most of current methods are dedicated to loss-intensity relations.
Recently, various map-based approaches have been proposed using multi-attribute criteria and assessment methods for debris-flow susceptibilities.
A review of methods for debris-flow hazard assessment, including those by Dai and Lee (2002), Lin et al. (2002), Ayalew et al. (2004), Lee and Pradhan (2007), Blahut et al. (2010), Yune et al. (2010), and Lee et al. (2012), permits a comparative analysis of the influential attributes and hazard assessment methods of debris flows.
This paper presents a simple predictive method for the debris launch velocity from a concrete storage magazine subjected to internal blast load, with particular focus on the effect of initial vent openings.
A variable fidelity robust optimization method for pulsed laser orbital debris removal (LODR) under uncertainty is proposed.
The results showed that MRW was an effective method for the removal of oxidation debris which reduced the reaction time from 4 h to 20 min and alkali consumption by 75%.
The proposed probabilistic model provides an effective method for predicting the variation of debris trajectories in a three-dimensional (3D) space, which is imperative when performing regional building envelope impact risk assessments in which a large amount of debris sources and targets must be considered in the simulation.
Reliable prediction models for debris dispersion are essential for risk assessment methods.
We also introduce a convenient cleaning method for diluting and ejecting the ablated debris from microchannel.
This finding leads to the supposition that this denture cleanser can be an effective complementary method for biofilm removal once it allows the debris to be more easily removed from the denture surface.
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