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- 저자 : Guangming Meng (검색결과 2 건)
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Influence of graphene oxide on the heat resistance of high strength concrete
Guangming Meng,Yuwu Sui,Shu Liu,Qingbo Tian,Xinling Cui,Yuejian Wu 한양대학교 청정에너지연구소 2022 Journal of Ceramic Processing Research Vol.23 No.6
The effect of Graphene Oxide (GO) on the thermal properties of high-strength concrete has been less studied. The mechanicalproperties, compactness, mineral composition and microstructure of the high-strength concrete with GO addition wereexamined by heat treatments at different temperatures. The results showed that the enhancement of the residual flexuralstrength with GO addition was greater than that of the residual compressive strength; GO addition had a significant effecton the mechanical properties of concrete treated at less than 500 ℃; Differential Scanning Calorimeter (DSC) test showed thatthe high-strength concrete with GO addition required more heats for its decomposition after 500 ℃; The internal pores/cracksof the high strength concrete with GO addition were reduced after the heat treatment at a high-temperature because theproducing of new crystals can improve the residual properties of the high-strength concrete.
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Zhiliang Liu,Liang Li,Guangming Yu,Jun Hu,Houlai Lin,Chunli Li,Shibao Lu,Kaiqi Meng,Jun Lei 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.2
A method of calculating the failure probability of the tunnel system combining finite element numerical simulation with multiple response surface method (MRSM) and Monte-Carlo simulation (MCS) is presented. The applicability of the proposed methodology is verified through a subway interval soft rock tunnel in Qingdao, China. The sensitivity of Monte-Carlo sampling number and coefficients of variation for rock masses on the failure probability of tunnel system is conducted. The primary failure modes in tunnel system are identified by reanalyzing the failure samples. The simulation results demonstrate that the failure probability of a tunnel system within soft upper and hard lower surrounding rock mass is mainly attributed to the soft upper part of the surrounding rock. The coefficients of variation of the elastic modulus E1 and the internal friction angle ϕ1 of the pebble layer (soft upper part) have significant effect on the failure probability. The failure probability of tunnel system increases as the coefficients of variation of E1 and ϕ1 increase. Two primary failure modes are found to contribute to the tunnel system reliability. The effect of rock bolt length L and pipe-roof thickness H on tunnel system reliability and two primary failure modes as well are investigated. The simulation results indicate that both the enhancements in L and H tend to be more effective than the enhancement in either L or H if a small target failure probability of tunnel system is expected. The supporting structures design can be performed based on the potential sets of (L, H) satisfying target failure probability.
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