کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4921026 1429216 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of coal mine goaf self-heating with fluid dynamics in porous media
ترجمه فارسی عنوان
پیش بینی گرمایش ذغال سنگ معدن ذغال سنگ با استفاده از پوسته مایع در رسانه های متخلخل
کلمات کلیدی
معدن زغال سنگ، خود حرارت، تخلخل گاو، توزیع دما، رسانه های متخلخل،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
چکیده انگلیسی


- A new porous fluid dynamics model for fluid flow and heat transfer in both working face and goaf was developed.
- This model identified asymmetric airflow patterns in typical U-type ventilation coal mine goaf.
- The heat transfer simulation and self-heating prediction in goaf was demonstrated.

Coal mine goaf self-heating due to exothermic coal oxidation has been recognized as a major threat to coal mine safety. To evaluate the risk of the coal mine goaf self-heating hazard, both gas distribution characteristics in goaf and heat transfer mechanisms in porous media must be studied. However, due to the difficulty of determining goaf permeability and the complexity of the overlaying strata caving characteristics, it is a considerable challenge to determine the thermal-fluid field coupling. Based on the volumetric average method in porous media, this work develops three numerical models for solving fluid dynamics and heat transfer in both longwall face and goaf. The Brinkman-Forchheimer-extended Darcy model is introduced to describe inertia and frictional forces in fluid phase exerted by solid phase. Temperature profile is highly dependent on and affects coal oxidation rate; therefore, governing equations for energy and oxygen mass equilibrium must be coupled. A two-dimensional goaf permeability distribution model is established based on different caving conditions in goafs. Three scenarios are simulated and validated by field and experimental data, and it is observed that these models are capable of predicting gas flow pattern and temperature distribution.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fire Safety Journal - Volume 87, January 2017, Pages 49-56
نویسندگان
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