Evaluation of anchor bolt effects on the thermal performance of building insulation materials

被引:5
|
作者
Ji, Ru [1 ]
Guo, Shan [2 ]
Wei, Shen [3 ]
机构
[1] Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Beijing 100083, Peoples R China
[2] Renmin Univ China, Sch Publ Adm & Policy, Beijing 100872, Peoples R China
[3] UCL, Bartlett Sch Construct & Project Management, London WC1E 7HB, England
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Near-zero-energy buildings; Thermal conductivity; Anchor bolts; Thermal insulation materials; ENERGY PERFORMANCE; BRIDGES; DESIGN; METHODOLOGY; OPTIMIZATION; ENVELOPES; IMPACT; WASTE; PANEL;
D O I
10.1016/j.jobe.2020.101200
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
For Near-zero-energy buildings, the application of building insulation materials is widely used. Anchor bolts, as a fixing element of insulators, have been applied to increase the safety of insulators; however, due to their high thermal conductivity they can cause point thermal bridges and lead to a negative effect on the insulation function of building envelopes. Very few studies, though, have systematically explored the issuer. This study therefore proposes a prediction approach, with a 3D model developed by MATLAB, to investigate the effect of anchors on thermal performance of building envelopes with insulation layers fixed by anchors. It also provides a new indicator, namely the equivalent effective thermal conductivity of insulators which can be used in many popular building energy prediction packages. Simulation results reveal a complicated thermal impact of anchor bolts on an external building envelope, which would be affected by many parameters of different envelope contents. For example, for glass fiber insulation materials with aluminum alloy anchor bolts, the effective thermal conductivity would rise by up to 18 times, and the corresponding envelope thermal transmittance would increase by 33%. This novel model can provide an accurate and easy method to evaluate the thermal effect of anchor bolts, and it is applicable to anchors made of any material. The proposed method could be a reference in energy performance prediction for high-performance buildings.
引用
收藏
页数:8
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