当前位置:主页 > 科技论文 > 路桥论文 >

多孔水泥混凝土路面热输出量化与温度预估模型研究

发布时间:2018-04-26 08:14

  本文选题:多孔水泥路面 + 温度行为 ; 参考:《长安大学》2016年硕士论文


【摘要】:多孔水泥混凝土路面,也称为透水路面,在国际上,该类型路面被认为是一种独特的能够有效解决重要环境问题和可持续发展的新型生态环保型路面,并得到了美国绿色建筑协会的能源与环境设计(LEED)的绿色建筑评估体系的认可,而且得到广泛应用,主要用于低流量的人行道、住宅区和公园内的道路、停车场、网球场以及常规的混凝土路面层、水工建筑物和隔音屏障等设施处。目前对于其研究主要集中在强度、抗滑、透水性以及降低噪声等方面,对于其温度场、传热机理以及与环境的能量传输行为的研究工作,有助于我们从机理上了解多孔路面的温度行为和能量行为,具有一定的理论意义和实际价值。本文通过对多孔水泥混凝土路面的温度变化规律、热量传输量化、温度预估模型建立以及影响因素等分析研究,为多孔水泥混凝土路面的设计以及更好的发挥其环境效益提供参考与理论基础。在室外进行面层试验,通过分析其温度行为以及计算其与外界的能量交换来建立能量平衡方程,利用能量平衡方程建立底面封闭状态下的温度预估模型。通过室内全层位的模拟试验,在面层温度预估模型的基础上建立全层位路面温度预估模型,进而利用全层位的温度预估模型分析影响路面温度的关键因素。在室内条件下研究多孔水泥路面在水分影响下的温度行为和能量行为。通过室内室外的数据分析研究发现,温度行为方面,多孔水泥混凝土路面的温度对外界环境的具有很强的敏感性,温度变化速率较快,内部温度梯度呈现出均匀性,底部温度明显低于普通水泥混凝土,表面与底面差值明显大于普通试件。能量行为方面,多孔水泥混凝土在同等天气条件下,吸收太阳辐射能量较多,而且对近地环境热量输出较多。在水分作用影响条件下,多孔水泥混凝土表面温度和对外热输出可以得到较大的降低,有利于其环境效益作用。太阳辐射吸收系数是路面温度的最大影响因素,辐射率可以间接影响路面温度,对流换热系数的增大可以降低路面温度,导热系数影响多孔水泥混凝土的内部温度分布,间接影响试件表面温度。多孔试件的孔隙特征和表面特征是其温度行为和能量行为与普通试件不同的最根本影响因素。
[Abstract]:Porous cement concrete pavement, also known as permeable pavement, is considered to be a new type of eco-environmental pavement which can effectively solve important environmental problems and sustainable development in the world. And has been approved by the Green Building Association of America's Energy and Environmental Design (LEED) green building assessment system, and has been widely used in low-flow sidewalks, roads in residential areas and parks, parking lots, Tennis courts and conventional concrete pavement, hydraulic structures and noise barriers and other facilities. At present, the research focuses on the strength, anti-skid, water permeability and noise reduction, as well as the research work on the temperature field, heat transfer mechanism and energy transfer behavior with the environment. It is helpful for us to understand the temperature behavior and energy behavior of porous pavement theoretically and practically. In this paper, the temperature variation law, heat transfer quantification, temperature prediction model and influencing factors of porous cement concrete pavement are analyzed and studied. It provides a reference and theoretical basis for the design of porous cement concrete pavement and better exertion of its environmental benefits. By analyzing the temperature behavior and calculating the energy exchange with the outside world, the energy balance equation is established, and the temperature prediction model under the closed state of the bottom surface is established by using the energy balance equation. Based on the surface layer temperature prediction model, a full-layer pavement temperature prediction model is established through the indoor full-layer simulation test, and then the key factors affecting the pavement temperature are analyzed by using the full-layer temperature prediction model. The temperature and energy behaviors of porous cement pavement under the influence of water were studied under indoor conditions. Through the analysis of indoor and outdoor data, it is found that the temperature of porous cement concrete pavement is highly sensitive to the external environment, the temperature change rate is faster, and the internal temperature gradient is uniform. The bottom temperature is obviously lower than the ordinary cement concrete, and the difference between the surface and the bottom surface is obviously higher than that of the ordinary specimen. In terms of energy behavior, porous cement concrete absorbs more solar radiation energy under the same weather conditions, and outputs more heat to near-Earth environment. Under the influence of water content, the surface temperature and external heat output of porous cement concrete can be greatly reduced, which is beneficial to its environmental benefit. The solar radiation absorption coefficient is the biggest influence factor of pavement temperature, the radiation rate can indirectly affect the pavement temperature, the increase of convection heat transfer coefficient can reduce the pavement temperature, and the thermal conductivity can affect the internal temperature distribution of porous cement concrete. The surface temperature of the specimen is indirectly affected. The pore and surface characteristics of porous specimens are the most fundamental factors affecting their temperature behavior and energy behavior.
【学位授予单位】:长安大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:U416.216

【相似文献】

相关期刊论文 前10条

1 孙立军;秦健;;沥青路面温度场的预估模型[J];同济大学学报(自然科学版);2006年04期

2 陈光伟;刘黎萍;苏凯;汤文;陈荣生;;基于沥青路面抗剪性能的车辙预估模型标定[J];西南交通大学学报;2013年04期

3 冯德成;郑天鸣;高畅;;沥青路面低温开裂预估模型及其适用性分析[J];公路交通科技;2007年03期

4 俞建荣;李一鸣;;轮辙试验的车辙预估模型探讨[J];中国公路学报;1992年03期

5 陈嘉祺;罗苏平;李亮;但汉成;赵炼恒;;沥青路面温度场分布规律与理论经验预估模型[J];中南大学学报(自然科学版);2013年04期

6 孔健;雷静芸;;沥青路面车辙及其预估模型分析[J];山西建筑;2008年04期

7 韦璐;;德国沥青路面温度场的预估模型及应用[J];中外公路;2011年06期

8 李晔,姚祖康,孙旭毅,刘春晨;铺面水泥混凝土抗冻标号预估模型[J];长安大学学报(自然科学版);2005年02期

9 段丹军;;沥青路面车辙预估模型验证研究[J];公路工程;2013年03期

10 姜yN;;低温条件下沥青层疲劳损坏预估模型的研究[J];天津建设科技;2012年02期

相关重要报纸文章 前1条

1 陆丰;阳光宝利研发风险预估模型[N];证券日报;2014年

相关硕士学位论文 前4条

1 李鹏;多孔水泥混凝土路面热输出量化与温度预估模型研究[D];长安大学;2016年

2 李小刚;无机结合料稳定类基层疲劳损坏预估模型研究[D];长安大学;2006年

3 谢可;季冻区沥青路面车辙预估模型方法研究[D];哈尔滨工业大学;2014年

4 付元坤;沥青路面车辙预估模型的研究[D];长安大学;2009年



本文编号:1805194

资料下载
论文发表

本文链接:https://www.wllwen.com/kejilunwen/daoluqiaoliang/1805194.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户724e7***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com