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Battery Train Fire Risk on a Steel Warehouse Structure DOI:  https://doi.org/10.30564/jaeser.v4i3.3327 Abstract Lithium ion battery fire hazard has been well-documented in a variety of applications. Recently, battery train technology has been introduced as a clean energy concept for railway. In the case of heavy locomotives such as trains, the massive collection of battery stacks required to meet energy demands may pose a significant hazard. The objective of this paper is to review the risk evaluation processes for train fires and investigate the propagation of lithium ion battery fire to a neighboring steel warehouse structure at a rail repair shop through a case study. The methodology of the analyses conducted include a Monte Carlo-based dynamic modeling of fire propagation potentials, an expert-based fire impact analysis, and a finite element (FE) nonlinear fire analysis on the structural frame. The case study is presented as a demonstration of a holistic fire risk analysis for ...

3D Simulation of Battery Fire on a Large Steel Frame Structure due to Depleted Battery Piles DOI:  https://doi.org/10.30564/jaeser.v5i3.4985 Abstract Lithium ion batteries (LIB) can rupture and result in thermal runaway and battery fires. In the process of transporting lithium ion batteries using trains, the massive collection of batteries can cause train fire and pose significant danger to the public. This is especially critical when the fire occurs amid a heavily populated metropolitan environment. This paper reports the 3D analysis of a warehouse with possible train fire due to LIB rupture and the fire propagation at a rail yard. Six critical fire cases with the battery train in close vicinity to the warehouse were considered. The six fire cases are the worst-case scenarios of a Monte Carlo simulation of different fire cases that may occur to an actual steel storage facility at the Capital Railyard, Raleigh, North Carolina. A 3D finite element (FE) frame model was constructed fo...