The research of evacuation in some emergencies, e.g. fire, is of great benefit to reducing the injuries of persons. In this paper, a cellular automaton evacuation model based on mobile robot's behaviors is presented. Each person is treated as an intelligent mobile robot, and motor schemas, including move-to-goal, avoid-obstacle, swirl-obstacle and nervous-motion, drive persons to interact with their environment. The motor schemas are combined with cellular automaton theory, and an evacuation model is built. Evacuation simulation of persons with different move velocities shows that the pre-sented model can predict accurately the evacuation phenomena in some emergencies.
A kinetic modeling of pollutant formation in hydrocarbon flames is presented through analysis of hierar- chical structures. Based on the newly released GRI-Mech 3.0, it was mainly taken from Dean and Bozzelli (DB) and Wang mechanism respectively for the nitrogen chemistry, the for- mation and growth of polycyclic aromatic hydrocarbons (PAH). The modeling was improved by considering C4 and Howard’s PAH chemistry. The mechanism consists of 121 species in 731 reactions. Two premixed flame structures are predicted, and the computed results are compared with the experimental ones. It is shown that the mechanism predicts reasonably well the concentration profiles of major, key in- termediate and minor species.
