经典和量子方法用于概率模型的火灾发生在炭石等级的煤炭
Aditya Kumar Thakur1, Rahul Dev Garg2, Kamal Jain2
1Department of Civil Engineering, Indian Institute of Technology Roorkee, Haridwar, Uttrakhand, 247667, India. aditya_kt@ce.iitr.ac.in.
Scientific reports
|September 30, 2025
概括
这项研究使用经典和量子框架量化了炭酸煤点火概率,超出了固定的值,以考虑热和能量变化. 结果建立了一个概率模型来预测点火行为,提高燃烧的安全性和效率.
科学领域:
- 燃烧科学 燃烧科学
- 热力学是一种热力学.
- 材料科学 材料科学 材料科学
背景情况:
- 像炭酸煤这样的物质的自燃可能发生在温度和能量偏离固定点燃点时.
- 现有的模型通常将点火视为决定性值,忽视固有的热和能量变化.
研究的目的:
- 开发一个定量,概率的框架来分析炭酸煤点火概率.
- 在古典和量子热力学原理下研究点火行为.
- 建立一个"点火线"概念,用于概率性点火预测.
主要方法:
- 使用特定热量关系和黑体辐射来推导能量-温度分布.
- 应用概率定理和分布方程来计算点火概率.
- 在测量领域验证量子热力学能量-温度不确定性关系.
- 在不同温度和能量下对点火概率的定量分析.
主要成果:
- 炭酸煤的点火概率随着温度和能量输入而显著增加.
- 计算的点火概率在769.15°C和789.86 J/g时超过50%.
- 建立了一个'点火线'方程来表示概率点火行为.
- 量子概率原理被整合在不确定的微热条件下分析点火.
结论:
- 一个概率框架有效地描述了煤炭点火行为,考虑到热量和能量变化.
- 这种方法提高了采矿和储存中的燃烧效率,安全性和防火.
- 量子原理的整合为在波动条件下的火灾发生机制提供了更深入的见解.
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