Toward Risk Assessment of Explosion Hazard: Experimental Determination of Flame Fractal Dimension

Daisuke Takeda; Woo Kyung Kim; Yukari Wada; Kazunori Kuwana; Toshio Mogi; Ritsu Dobashi

doi:10.4028/www.scientific.net/AMR.320.151

Paper Titles

Density-Controlled Growth of Well-Aligned ZnO Nanowires Using Hydrothermal Method
p.130

Synthesis of ZnO Polycrystalline Flakes Using Sol-Gel Method
p.135

Synthesis and Characterization of SiO₂/ZnO Core-Shell Spheres
p.140

Research on the Mathematical Description of Style Image of Machining Centers
p.146

Toward Risk Assessment of Explosion Hazard: Experimental Determination of Flame Fractal Dimension
p.151

Investigation on Sub-Rapid Solidification Behavior of Semi-Solid Magnesium Alloy Metal
p.156

An Investigation about the Effect of Depth of Cut on Surface Integrity in Creep Feed Grinding of INC 792-5A
p.163

Fabrication and Electrical Properties of P(VDF-TrFE)/Bi_3.5Nd_0.5Ti₃O₁₂ Bi-Layer Composite Ferroelectric Thin Films
p.170

Study on Low Application Temperature Process of Three Layer Polyethylene Coating
p.176

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 320Toward Risk Assessment of Explosion Hazard:...

Toward Risk Assessment of Explosion Hazard: Experimental Determination of Flame Fractal Dimension

Abstract:

Quantitative risk analysis is a method to evaluate risk and to identify areas for risk reduction. The final goal of our study is to propose an effective method for risk assessment of explosion hazard. To achieve the goal, a phenomenon that influences the consequences of explosion is first identified: self-turbulization and resulting acceleration of expanding flame during explosion. The fractal dimension is then identified as the key parameter that characterizes the phenomenon. Since the previous method to determine fractal dimension relies on large-scale explosion experiment, it has not been easy to determine fractal dimension. This paper demonstrates the possibility of determining fractal dimension by analyzing flame images of small-scale experiment, which might significantly reduce the cost of risk assessment of explosion hazard.