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Parametric design and Finite Element Analysis of metallic tanks transporting dangerous goods

机译:金属罐运输危险品的参数化设计与有限元分析

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Metallic tanks are widely used for the transportation of dangerous goods. Manufacturers utilize standards in conjunction with European legislation concerning the international carriage (ADR and RID) to specify the minimum design and construction requirements. The analysis of the tank’s attachment to the vehicle is not covered by analytical calculation methods, and only the Finite Element stress analysis can be used prior to manufacture. New ADR amendments demand that the certification authorities conduct stringent examinations that the manufacturer has the ability to perform high quality weldings. Applying the structural strength concept implemented in the International Institute of Welding (IIW) guidelines into the calculation is a protracted task. Aiming at speeding up the procedure, a parametric design and an efficient FE analysis is developed for a LGBF tank. Utilizing parametric design offers sufficient overview of the whole structure, while a supplementary surface model is generated to reduce pre-processing time. The tank is subjected to prescribed load cases, while the meshing directives of the structural hot spot stress concept (SHSSC) according to the IIW recommendations are incorporated in the procedure, in order to assess both the static and fatigue strength of the weld details. Using a multi-compartment LGBF tank as a case study, it is shown that the proposed detailed and automated analysis succeeds in reducing the time and effort needed, as well as in allocating the critical spots, substantially increasing the calculation accuracy.
机译:金属罐广泛用于危险货物的运输。制造商结合欧洲有关国际运输的法律(ADR和RID)使用标准来指定最低设计和构造要求。分析计算方法未涵盖对坦克与车辆的附着情况的分析,并且只能在制造之前使用有限元应力分析。新的ADR修订要求认证机构对制造商具有进行高质量焊接的能力进行严格的检查。将国际焊接学会(IIW)指南中实施的结构强度概念应用到计算中是一项长期的任务。为了加快过程,为LGBF储罐开发了参数设计和有效的有限元分析。利用参数设计可以对整个结构有足够的了解,同时可以生成补充表面模型以减少预处理时间。储罐承受规定的载荷工况,同时根据IIW建议采用结构热点应力概念(SHSSC)的啮合指令,以评估焊缝细节的静态强度和疲劳强度。使用多室LGBF储罐作为案例研究,结果表明,所提出的详细而自动化的分析成功地减少了所需的时间和精力,并成功分配了关键点,从而大大提高了计算精度。

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