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experimental performance Measures of Recycled Insulation Concrete Blocks from Construction and Demolition Waste

Journal of Renewable Materials 2022年第6期10卷 1675-1691页

作者： Doudou Liu Liang Qiao Guozhong Li School of Management Science and Engineering Shandong University of Finance and EconomicsJinan250014China National Engineering Laboratory for Reducing Emissions from Coal Combustion Engineering Research Center of Environmental Thermal Technology of Ministry of EducationShandong Key Laboratory of Energy Carbon Reduction and Resource UtilizationResearch Center for Sustainable DevelopmentSchool of Energy and Power EngineeringShandong UniversityJinan250061China Housing and Urban-Rural Development Institute of Shandong Province Jinan250004China School of Materials Science and Engineering University of JinanJinan250001China

Construction and demolition(C&D)waste has seriously affected the ecological *** utilization of C&D waste resources can greatly alleviate this problem,and it is an important way to help achieve the goal of zero carbon in *** this study,insulation concrete blocks were developed with recycled aggregates,cement,fly ash as main raw materials,expanded polystyrene(EPS)insulation boards as block insulation filling material,and selfdeveloped construction waste composite activator,interface enhancer,surface modifier and other *** experimental research and performance test analysis,the best mix ratio of the product and the mechanism of each additive were *** experimental results showed that the insulation concrete block prepared under the conditions of recycled aggregates sand ratio of 45%,active activator Na_(2)SO_(4)content of 0.15%and fly ash content of 30%has the best performance and meets the relevant standards.

关键词： C&D waste recycled insulation concrete blocks experimental performance

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Intelligent prediction on performance of high-temperature heat pump systems using different refrigerants

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Journal of Central South University 2018年第11期25卷 2754-2765页

作者： YU Xiao-hui ZHANG Yu-feng ZHANG Yan HE Zhong-lu DONG Sheng-ming MA Xue-lian YAO Sheng School of Environmental Science and Engineering Tianjin University School of Architecture Tianjin University

Two new binary near-azeotropic mixtures named M1 and M2 were developed as the refrigerants of the high-temperature heat pump(HTHP).The experimental research was used to analyze and compare the performance of M1 and M2-based in the HTHP in different running *** results demonstrated the feasibility and reliability of M1 and M2 as new high-temperature ***,the exploration and analyses of the support vector machine(SVM)and back propagation(BP)neural network models were made to find a practical way to predict the performance of HTHP *** results showed that SVM-Linear,SVM-RBF and BP models shared the similar ability to predict the heat capacity and power input with high ***-RBF demonstrated better stability for coefficient of performance ***,the proposed SVM model was used to assess the potential of the M1 and *** results indicated that the HTHP system using M1 could produce heat at the temperature of 130°C with good performance.

关键词： high-temperature heat pump experimental performance support vector machine back propagation neural network performance prediction

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