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Hygrothermal Properties of a Composite Based on Clay Soils and Diatomite

Open Journal of Civil Engineering 2024年第3期14卷 363-373页

作者： Togdjim Jonas Malloum Soultan Modjinguem F. Ronelngar Mahamat S. Abdel-Khadir Alexis M. Nanimina Michel Querry Mechanical Engineering Department Higher National Institute of Sciences and Techniques of Abch Abch Chad Technology Department University of NDjamena NDjamena Chad National center for Development Research (CNRD) NDjamena Chad Mechanical Department National Institute Superior of Sciences Appliqued Lyon France

The purpose of this paper is to make a contribution to the use of diatomite as a mineral additive in the composition of compressed earth blocks. The aim is to study the influence of diatomite on the hygrothermal behaviour of composites based on clay soils. For this reason, two clay soils with different physicochemical and mineralogical compositions were incorporated with diatomite at percentages ranging from 5% to 50% with a step of 5 to produce compressed earth blocks. After assessing the hydric and thermal characteristics of the composites, it was found that the incorporation of diatomite into the clay matrix favours the absorption of water by capillary action for all the composites. The diatomite-amended blocks subjected to the rain erosion test were less eroded than the unamended blocks. In addition, BYD composites were found to be more resistant than BTD composites, due to the high percentage of clay in T soil. The thermal conductivity of the latter decreases respectively from 0.72 to 0.29 W/m∙K for BTD composites and from 0.52 to 0.21 W/m∙K for BYD composites. This reduction proves the thermal insulating properties of diatomite. Despite the high capillary absorption capacity of these composites, they have good thermal properties, enabling them to be used in the construction of buildings for improved indoor thermal comfort.

关键词： Clay Soil Diatomite Capillary Absorption Erodibility and Thermal Conductivity

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Whole genome synthesis： from poliovirus to synthetic yeast

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Frontiers of Electrical and Electronic Engineering in China 2017年第1期5卷 105-109页

作者： Junbiao Dai Yizhi Cai Yinjing Yuan Huanming Yang Jef D. Boeke center for Synthetic Biology Engineering Research Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Biological Sciences The King's Buildings University of Edinburgh EH9 3BF United Kingdom Key Laboratory of Systems Bioengineering (Ministry of Education) SynBio Research Platform Collaborative Innovation Center of Chemical Science and Engineering (Tianjin) School of Chemical Engineering and Technology Tianjin University Tianjin 300072 China BGI-Shenzhen Shenzhen 518083 China Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology New York University Langone Medical Center New York NY 10011 USA

About thirty years ago when the human genome project （HGP） was first proposed, there was widespread disagreement on whether it was worth spending $3 billion to sequence a genome with only 3% coding sequences, which ... 详细信息

关键词： Genome synthesis Human Genome Project Genomics Poliovirus Outcomes of Education Economy Life sciences

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An improved window opening behavior model involving the division of the dummy variable’s interval level:Case study of an office building in Xi’an during summer

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Building Simulation 2023年第11期16卷 2123-2144页

作者： Yaxiu Gu Tingting Wang Qingqing Dong Zhuangzhuang Ma Tong Cui Changgui Hu Kun Liu Song Pan Qian Qi Minyan Xie Department of Building Environment and energy Engineering School of Civil EngineeringChang’an UniversityXi’an710061China State Key Laboratory of Green Building in Western China Xi’an University of Architecture&TechnologyXi’an710055China Hunan Architectural Design Institute Changsha410011China China United Engineering Corporation Limited Hangzhou310052China Beijing Key Laboratory of Green Built Environment and energy Efficient Technology Beijing University of TechnologyBeijing100124China Shaanxi Environmental Investigation and Assessment center Xi’an710054China

Window opening behavior significantly impacts indoor air quality,thermal comfort,and energy consumption.A field measurement was carried out in three typical rooms(a standard office,a meeting room and a smoking office)within an office *** window state and the physical environment were continuously recorded during the measured *** typical window opening behaviors were found in the measured samples,namely,active,moderate,and *** common logistic regression coefficient indicated that solar radiation exhibited the greatest effect on window opening behavior in the smoking office and standard ***,window opening behavior in the meeting room was the most strongly correlated with time of the day,mainly because of the meeting schedule for occupants in the meeting *** study discussed the dividing principles involved in setting the dummy variable interval level(discretizing continuous variables and dividing them into different intervals),and proposed a method to determine the optimal interval level of each *** improved model led to the increase in the prediction accuracy rate of the window being opened by 2.0%and 3.3%according to the comparison with the original model based on dummy variables and the common model based on continuous variables,*** study can provide a reference value for simulating energy consumption in office buildings in the future.

关键词： office building window opening behavior influencing factors logistic regression model dummy variables optimal interval level

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Research progress on chemical conditioning and deep dehydration of typical sludge

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西部人居环境学刊 2016年第S1期 38-43页

作者： HuaiLi Zheng Yingpeng Gu Qianying Shou Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment Ministry of EducationChongqing University National Centre for International Research of Low-carbon and Green buildings Chongqing University Chongqing Engineering Research center of Water Treatment Coagulant

In order to make sludge reduced,stabilized,harmless and resource-oriented,choosing reasonable chemical and equipment is an important partof sludge *** review mainly introduces the characteristics of chemical conditioning agent,methods and mechanism of sludge *** commonly used sludge dewatering equipment and its characteristics are also summarized in this *** last,it points out some existing problems and future research directions in this field.

关键词： Sludge Chemical conditioning Sludge dewatering

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Quantifying Disaster Physical Damage Using Remote Sensing Data——A Technical Work Flow and Case Study of the 2014 Ludian Earthquake in China

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International Journal of Disaster Risk Science 2017年第4期8卷 471-488页

作者： Yida Fan Qi Wen Wei Wang Ping Wang Lingling Li Peng Zhang Information center Ministry of Civil Affairs National Disaster Reduction center of China Ministry of Civil Affairs

Disaster damage assessment is an important basis for the objective assessment of the social impacts of disasters and for the planning of recovery and reconstruction. It is also an important research field with regard to disaster mitigation and risk management. Quantitative assessment of physical damage refers to the determination of the physical damage state of the exposed elements in a disaster area, reflecting the aggregate quantities of damages. It plays a key role in the comprehensive damage assessment of major natural hazard-induced disasters. The National Disaster Reduction center of China has established a technical work flow for the quantitative assessment of disaster physical damage using remote sensing *** article presents a quantitative assessment index system and method that can be integrated with high-resolution remote sensing data, basic geographical data, and field survey data. Following the 2014 Ludian Earthquake in Yunnan Province, China, this work flow was used to assess the damage to buildings, roads, and agricultural and forest resources, and the assessment results were incorporated into the Disaster Damage Comprehensive Assessment Report of the 2014 Ludian Earthquake for the State Council of China. This article also outlines some possible improvements that can be addressed in future work.

关键词： China Disaster damage assessment Ludian Earthquake Quantitative physical damage assessment Remote sensing in damage assessment

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Machine learning for pore-water pressure time-series prediction:Application of recurrent neural networks

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Geoscience Frontiers 2021年第1期12卷 453-467页

作者： Xin Wei Lulu Zhang Hao-Qing Yang Limin Zhang Yang-Ping Yao State Key Laboratory of Ocean Engineering Department of Civil EngineeringShanghai Jiao Tong University800 Dongchuan RoadShanghai 200240China Collaborative Innovation center for Advanced Ship and Deep-Sea Exploration(CISSE) Shanghai 200240China Shanghai Key Laboratory for Digital Maintenance of buildings and Infrastructure Shanghai 200240China Department of Civil and Environmental Engineering The Hong Kong University of Science and TechnologyHong KongChina Department of Civil Engineering School of Transportation Science and EngineeringBeihang University37 Xueyuan RoadHaidian DistrictBeijing 100191China

Knowledge of pore-water pressure(PWP)variation is fundamental for slope stability.A precise prediction of PWP is difficult due to complex physical mechanisms and in situ natural *** explore the applicability and advantages of recurrent neural networks(RNNs)on PWP prediction,three variants of RNNs,i.e.,standard RNN,long short-term memory(LSTM)and gated recurrent unit(GRU)are adopted and compared with a traditional static artificial neural network(ANN),i.e.,multi-layer perceptron(MLP).Measurements of rainfall and PWP of representative piezometers from a fully instrumented natural slope in Hong Kong are used to establish the prediction *** coefficient of determination(R^2)and root mean square error(RMSE)are used for model *** influence of input time series length on the model performance is *** results reveal that MLP can provide acceptable performance but is not *** uncertainty bounds of RMSE of the MLP model range from 0.24 kPa to 1.12 k Pa for the selected two *** standard RNN can perform better but the robustness is slightly affected when there are significant time lags between PWP changes and *** GRU and LSTM models can provide more precise and robust predictions than the standard *** effects of the hidden layer structure and the dropout technique are *** single-layer GRU is accurate enough for PWP prediction,whereas a double-layer GRU brings extra time cost with little accuracy *** dropout technique is essential to overfitting prevention and improvement of accuracy.

关键词： Pore-water pressure Slope Multi-layer perceptron Recurrent neural networks Long short-term memory Gated recurrent unit

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An Assessment for energy Management in Retail Stores

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Journal of energy and Power Engineering 2018年第5期12卷 231-243页

作者： Zheng Ma Joy Dalmacio Billanes Bo Norregaard Jorgensen center for Healthcare Informatics and Technology University of Southern Denmark Odense 5230 Denmark center for energy Informatics University of Southern Denmark Odense 5230 Denmark

Retail stores are responsible for large energy consumption, which requires more intensified action to improve energy efficiency. Effective energy management can improve energy efficiency in retail stores. However, it is a challenge to implement energy management in retail stores due to different stakeholders’ roles and diverse store features. Literally, technical and management aspects of energy management have received much attention in research. However, limited studies systemically investigate internal and external factors and stakeholders’ involvement in the energy management of retail buildings. With multi-cases in the Philippines, this paper examines the energy profiles in retail stores and develops an assessment for energy management in retail stores. The assessment includes store features, internal and external stakeholders, climate, electricity price and grid condition, energy consumption, and management. The assessment can assist retail stores to develop their energy management plans with their store profile.

关键词： energy consumption energy management impact factors retail stores stakeholder involvement store features.

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Electrospun perovskite nano-network for flexible, near-room temperature, environmentally friendly and ultrastable light regulation

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Journal of Materials Science & Technology 2022年第35期130卷 35-43页

作者： Yongliang Li Haoxuan Sun Zhen Li Min Wang Linqi Guo Liangliang Min Fengren Cao Yeqiang Tan Liang Li State Key Laboratory of Bio-Fibers and Eco-Textiles&Institute of Marine Biobased Materials&Collage of Materials Science and Engineering Qingdao UniversityQingdao 266071China School of Physical Science and Technology Jiangsu Key Laboratory of Thin FilmsCenter for Energy Conversion Materials&Physics(CECMP)Soochow UniversitySuzhou 215006China

Light regulation devices are essential for signal modulation, information encryption and energy-saving smart windows. Recently, due to their excellent stimuli-responsive properties, lead halide perovskites have shown great potential. However, the high transition temperature, irreversibility of the phase transition and toxicity of heavy metals make perovskite materials unsuitable for devices related to human activity. Herein, for the first time, a flexible perovskite nano-network is proposed and its application as a smart window is demonstrated. The perovskite-sodium alginate(SA) nano-network showed a 31.6 ℃(20% RH) transition temperature and stability over 1200 cycles. The hydrophobic surface and the “eggbox” structure formed by SA make that the lead leakage is only 2.569 ppb, which is much higher than the drinking water standard. This work provides a successful demonstration for energy-efcient buildings and inspires future nontoxic perovskite-based devices through heavy metal control.

关键词： Sodium alginate Perovskite Phase transition Thermochromism Light regulation

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热泵在中国实现2060年碳中和目标中的作用被低估径（英文）

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Engineering 2023年第4期 13-18页

作者：闫鸿志张川邵昭 Markus Kraft 王如竹 Institution of Refrigeration and Cryogenics MOE Engineering Research Center of Solar Energy Shanghai Jiao Tong University Institute of energy Peking University Andlinger center for energy and the Environment Princeton University Department of Chemical Engineering and Biotechnology University of Cambridge

1. The crucial role of heating decarbonization in achieving carbon neutrality in China by 2060The decarbonization of heating, in both buildings and industries, presents a major challenge and opportunity for China if the nation is going to meet its 2060 commitment to carbon ***, as shown in Fig. 1(a)[1], the buildings and industrial sectors share the largest proportion (more than 70%) of end-use energy demand in China. In the buildings sector, heating accounts for half of the energy demand [2]; in the industrial sector,

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构建准层状自空穴掺杂SnSe取向薄膜获得优异热电功率因子和输出功率密度（英文）

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Science Bulletin 2023年第22期 2769-2778+2669页

作者：薛宇利王晴高志钱鑫王江龙闫国英陈明敬赵立东王淑芳李志亮 Hebei Key Laboratory of Optic-Electronic Information and Materials Key Laboratory of High-Precision Computation and Application of Quantum Field Theory of Hebei Province College of Physics Science and Technology Hebei University School of Materials Science and Engineering Beihang University Engineering Research center of Zero-Carbon energy buildings and Measurement Techniques Ministry of Education Hebei University

热电技术可以实现热能与电能的相互转换,其开发利用对于缓解能源危机具有重要意义.近10年来,SnSe因其潜在的高能量转换效率、绿色环保和低成本特性而备受关注.但SnSe的固有载流子浓度低(约1017cm-3),导致其功率因子偏低,从而限制了SnSe...

热电技术可以实现热能与电能的相互转换,其开发利用对于缓解能源危机具有重要意义.近10年来,SnSe因其潜在的高能量转换效率、绿色环保和低成本特性而备受关注.但SnSe的固有载流子浓度低(约1017cm-3),导致其功率因子偏低,从而限制了SnSe基器件的输出功率密度.因此,探索新的载流子浓度优化策略对于SnSe的应用至关重要.此外,与三维块体相比,二维薄膜更易和现代半导体工艺相兼容,在热电微纳米器件的构筑和应用方面具有独特优势.本文报道了一种利用非原位硒化技术,通过电荷转移和自空穴掺杂效应来优化a轴取向SnSe基薄膜的载流子浓度.当硒化时间为20 min时,薄膜载流子浓度可提高至1018cm-3数量级,形成了准层状的自空穴掺杂SnSe基薄膜,其功率因子在600 K时达到了5.9 μW cm-1K-2.由硒化处理的SnSe基取向薄膜构筑的热电发电机在50和90 K的温差下分别具有约83、838 μW cm-2的超高功率密度.非原位硒化技术可以有效提高SnSe基薄膜的载流子浓度,为其他热电材料性能优化提供了一种新策略.

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