Curing methods are one of the most important factors in determining the quality and compactness of cover concrete.The effect of curing methods on the water absorption and sorptivity coefficient of cover concrete with ...Curing methods are one of the most important factors in determining the quality and compactness of cover concrete.The effect of curing methods on the water absorption and sorptivity coefficient of cover concrete with the substitution ratio of fly ash(FA)and ground granulated blast slag(GGBS)for cement between 30 wt%and 40 wt%was studied by capillary water absorption test.The vacuum saturation test and mercury intrusion test were employed to characterize these differences in the pore structure of cover concrete under different curing methods.With further analysis of the compactness of microstructure by SEM,the mechanism of the impact of curing methods on the permeability of cover concrete was revealed.The results obtained indicate that the effect of curing methods on the water absorption,sorptivity coefficient and porosity of cover concrete shows the trend of natural curing>cover curing>water curing>standard curing.It is also shown that reasonable curing is advantageous to reduce the porosity and permeability of cover concrete.In natural curing conditions,the appearance of porosity increasing and pore structure coarsening is more critical for covering concrete with mineral admixtures than for pure cement concrete.Therefore,the permeability of cover concrete with mineral admixtures is more sensitive to the early-age curing methods.展开更多
With the rapid development of cloud computing and other related services,higher requirements are put forward for network transmission and delay.Due to the inherent distributed characteristics of traditional networks,m...With the rapid development of cloud computing and other related services,higher requirements are put forward for network transmission and delay.Due to the inherent distributed characteristics of traditional networks,machine learning technology is diffcult to be applied and deployed in network control.The emergence of SDN technology provides new opportunities and challenges for the application of machine learning technology in network management.A load balancing algorithm of Internet of things controller based on data center SDN architecture is proposed.The Bayesian network is used to predict the degree of load congestion,combining reinforcement learning algorithm to make optimal action decision,self-adjusting parameter weight to adjust the controller load congestion,to achieve load balance,improve network security and stability.展开更多
基金The authors would like to acknowledge the financial support provided by the National Key R&D Program of China(Grant number2018YFB1600100)this study is also funded by Shandong Transportation Science and Technology Plan(grant number 2018B44).
文摘Curing methods are one of the most important factors in determining the quality and compactness of cover concrete.The effect of curing methods on the water absorption and sorptivity coefficient of cover concrete with the substitution ratio of fly ash(FA)and ground granulated blast slag(GGBS)for cement between 30 wt%and 40 wt%was studied by capillary water absorption test.The vacuum saturation test and mercury intrusion test were employed to characterize these differences in the pore structure of cover concrete under different curing methods.With further analysis of the compactness of microstructure by SEM,the mechanism of the impact of curing methods on the permeability of cover concrete was revealed.The results obtained indicate that the effect of curing methods on the water absorption,sorptivity coefficient and porosity of cover concrete shows the trend of natural curing>cover curing>water curing>standard curing.It is also shown that reasonable curing is advantageous to reduce the porosity and permeability of cover concrete.In natural curing conditions,the appearance of porosity increasing and pore structure coarsening is more critical for covering concrete with mineral admixtures than for pure cement concrete.Therefore,the permeability of cover concrete with mineral admixtures is more sensitive to the early-age curing methods.
基金Supported by the National Natural Science Foundation of China(61875164)Shaanxi Provincial Key Research and Development Project(2020GY-059)Special Scientific Research Program of Shaanxi Education Department in 2017(17JK0702)
文摘With the rapid development of cloud computing and other related services,higher requirements are put forward for network transmission and delay.Due to the inherent distributed characteristics of traditional networks,machine learning technology is diffcult to be applied and deployed in network control.The emergence of SDN technology provides new opportunities and challenges for the application of machine learning technology in network management.A load balancing algorithm of Internet of things controller based on data center SDN architecture is proposed.The Bayesian network is used to predict the degree of load congestion,combining reinforcement learning algorithm to make optimal action decision,self-adjusting parameter weight to adjust the controller load congestion,to achieve load balance,improve network security and stability.
