دورية أكاديمية

Optimization principle and application of forced ventilation in railway tunnels based on improved TOPSIS theory and CFD simulations

التفاصيل البيبلوغرافية
العنوان: Optimization principle and application of forced ventilation in railway tunnels based on improved TOPSIS theory and CFD simulations
المؤلفون: Bo Wu, Huihao Chen, Wei Huang
المصدر: Advances in Mechanical Engineering, Vol 13 (2021)
بيانات النشر: SAGE Publishing, 2021.
سنة النشر: 2021
المجموعة: LCC:Mechanical engineering and machinery
مصطلحات موضوعية: Mechanical engineering and machinery, TJ1-1570
الوصف: The optimization of forced ventilation in tunnel construction becomes the key problem to improve the construction environment and energy saving. The influence of main factors on the flow field is considered for orthogonal experimental design and optimization, which includes the distance between the air duct outlet and the tunnel face, the bench length, the bench height, and the position of the air duct. Thus, the TOPSIS theory was adopted for the optimization method and improvement, and a series of CFD simulations were applied to analyze optimal solutions. The results show that the improved TOPSIS theory with entropy weight method and analytic hierarchy process could effectively solve the optimization problem of forced ventilation in tunnel construction. Based on this optimization principle, a case was analyzed, and the optimized ventilation parameters are obtained to improve ventilation efficiency and save energy. In the optimization scheme, the flow field in the tunnel is stable and the wind is strong enough to ventilate. Besides, there is none huge vortex, which might disrupt the stable flow field and reduce energy efficiency. It could improve the ventilation efficiency and stability, save time and cost, and bring considerable economic and social benefits to the tunnel construction.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1687-8140
16878140
Relation: https://doaj.org/toc/1687-8140
DOI: 10.1177/16878140211017613
URL الوصول: https://doaj.org/article/5b38c790f5484d2eaf227f97d31981b3
رقم الأكسشن: edsdoj.5b38c790f5484d2eaf227f97d31981b3
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16878140
DOI:10.1177/16878140211017613