Query：
学者姓名：李悦
Refining：
Year
Type
Indexed by
Source
Complex
Co-Author
Language
Clean All
Abstract ：
Magnesium-silicon-based cement (MSC) is a novel construction material composed of light-burned magnesium oxide powder and various siliceous raw materials, offering significant low-carbon advantages. However, the types and elemental compositions of raw materials introduce substantial uncertainty into the mechanical properties of MSC, making it challenging for traditional experimental methods to predict its performance accurately. Machine learning (ML) techniques hold considerable benefits in dealing with complex relationships. This study aimed to use ML techniques to establish a predictive model for the compressive strength of MSC and explore the impact of different feature parameters on the compressive strength of MSC through an interpretable model. The results demonstrated that the Extreme Gradient Boosting (XGB) model excelled in prediction accuracy. Among all feature parameters, curing age was the most crucial factor influencing the compressive strength of MSC. Element content analysis indicated that there was a nonlinear relationship between the compressive strength of MSC and the proportions of silicon (P_Si) and magnesium (P_Mg). The ideal optimal Mg/Si ratio was approximately 0.76. Furthermore, the analysis of interactions between elements showed that nearly balanced contents of Mg and Si produced a positive interaction effect which contributed to improving the mechanical properties of MSC. Al, Ca, and Fe exhibited significant variations in their influence on the Mg-Si interaction across different content ranges, presenting clear regional dependencies and element-specific effects.
Keyword ：
Machine learning Machine learning Feature parameter analysis Feature parameter analysis Mechanism of elemental influence Mechanism of elemental influence Magnesium-silicon-based cement Magnesium-silicon-based cement Mechanical performance prediction Mechanical performance prediction
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Luo, Xiao , Li, Yue , Liu, Yunze et al. Research on the prediction of mechanical properties of magnesium-silicon-based cement and the mechanism of element interaction based on machine learning [J]. | CONSTRUCTION AND BUILDING MATERIALS , 2025 , 463 . |
| MLA | Luo, Xiao et al. "Research on the prediction of mechanical properties of magnesium-silicon-based cement and the mechanism of element interaction based on machine learning" . | CONSTRUCTION AND BUILDING MATERIALS 463 (2025) . |
| APA | Luo, Xiao , Li, Yue , Liu, Yunze , Mu, Jinlei , Quan, Junhao . Research on the prediction of mechanical properties of magnesium-silicon-based cement and the mechanism of element interaction based on machine learning . | CONSTRUCTION AND BUILDING MATERIALS , 2025 , 463 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
Concrete pumping technology is widely used in reservoirs, dams, harbours and other hydraulic structures. To investigate the effects of pumping on the flowability, mechanical strength and frost resistance of hydraulic concrete, long-distance pumping tests were carried out on self-compacting concrete (SCC). This paper investigated the influence of high-pressure pumping on the workability, mechanical strength and frost resistance of SCC by analysing the changes in various properties of SCC before and after long distance pumping. The flowability of the fresh concrete decreased after long-distance pumping. Compared to before pumping, the slump of the four groups of SCC decreased by an average of 3.93% and the slump-flow decreased by an average of 23.09%. The homogeneity and stability of the fresh SCC improved significantly after pumping. After pumping, the V-funnel time of SCC was reduced by an average of 82.32% and the segregation rate was reduced by an average of 125.76%. Additionally, there was a slight increase in mechanical strength indicated by an average increase of 5.87% in cubic compressive strength, 8.99% in axial compressive strength, 7.78% in tensile splitting strength, and 5.22% in modulus of elasticity. Notably, the frost resistance of the SCC showed significant improvement after pumping. Under non freeze-thaw conditions, the compressive strength of SCC after pumping increased by an average of 5.87%. After 200 freeze-thaw cycles, the compressive strength (after pumping) increased by an average of 12.46%. An air void analyser was then used to test the air-void parameters to analyse the effect of long-distance pumping action on the air voids parameters. The study further established the correlation between air-void structure characteristics and freeze-thaw resistance. Under freeze-thaw conditions, the compressive strength showed a linear correlation with air content and spacing factor. The process of pumping can enhance the air-void structure of SCC, leading to improved frost resistance. Therefore, in the design of concrete frost resistance, pumping can be considered as an influencing factor to improve the frost resistance of concrete.
Keyword ：
Frost resistance Frost resistance Long-distance pumping Long-distance pumping Mechanical strength Mechanical strength Flowability Flowability Structure characteristics of air voids Structure characteristics of air voids
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Hao, Ji , Meng, Yuhao , Cui, Yan et al. The influence of long-distance pumping on the workability, mechanical strength, and frost resistance of SCC [J]. | ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING , 2024 , 24 (2) . |
| MLA | Hao, Ji et al. "The influence of long-distance pumping on the workability, mechanical strength, and frost resistance of SCC" . | ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING 24 . 2 (2024) . |
| APA | Hao, Ji , Meng, Yuhao , Cui, Yan , Mu, Jinlei , Li, Yue , Sui, Chune . The influence of long-distance pumping on the workability, mechanical strength, and frost resistance of SCC . | ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING , 2024 , 24 (2) . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
为探究碳中和目标下减排措施对粤港澳大湾区臭氧(O3)形成的潜在影响,我们重点研究了粤港澳大湾区城区和郊区的O3浓度和敏感性变化.本文基于中国未来排放动态评估模型(Dynamic Projection model for Emissions in China,简称DPEC)提供的"双碳"目标下的排放情景数据,采用WRF-SMOKE-CMAQ空气质量模式,分别模拟了我国2020年、2030 年和2060年这三个关键节点年份的O3浓度,并利用内嵌于CMAQ的DDM(Decoupled Direct Method)模块计算了各地O3对NOx和VOC的一阶敏感系数SO3_NOx和SO3_VOC,以揭示O3对这两种主要前体物排放的响应敏感程度.研究表明:(1)对于O3浓度的变化,从不同季节来看,与2020年相比,粤港澳大湾区地区2030年和2060年冬季O3浓度均呈上升趋势.从不同城市来看,与其他城市相比,深圳的O3浓度一直处于明显的上升趋势.(2)对于O3敏感性的变化,SO3_NOx整体呈上升趋势,且负值区域逐渐减少,正值区域逐渐扩大.2030年SO3_NOx负值绝对值下降,NOx滴定作用减弱.2060年,粤港澳大湾区大部分地区SO3_NOx转化为正值.对SO3_VOC来说,未来情景中研究区域全年均为正值且整体呈下降趋势.
Keyword ：
臭氧敏感性 臭氧敏感性 CMAQ-DDM CMAQ-DDM 未来趋势 未来趋势 粤港澳大湾区 粤港澳大湾区
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 郝江虹 , 李悦 , 赵莹 et al. 碳中和背景下粤港澳大湾区臭氧浓度及敏感性变化 [J]. | 资源与生态学报（英文版） , 2024 , 15 (1) : 204-213 . |
| MLA | 郝江虹 et al. "碳中和背景下粤港澳大湾区臭氧浓度及敏感性变化" . | 资源与生态学报（英文版） 15 . 1 (2024) : 204-213 . |
| APA | 郝江虹 , 李悦 , 赵莹 , 程沁毓 , 赵秀勇 , 陈东升 . 碳中和背景下粤港澳大湾区臭氧浓度及敏感性变化 . | 资源与生态学报（英文版） , 2024 , 15 (1) , 204-213 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
采用波导法测定硅酸镁水泥的电磁性能,分析镁硅比和养护温度的影响,并基于微观测试结果进行机理分析.结果表明:提高养护温度可以显著增强硅酸镁水泥的早期强度;硅酸镁水泥的复介电常数实部随着镁硅比和养护温度的提高逐渐增大;提高养护温度使硅酸镁水泥的复介电常数虚部和损耗角正切值增大;与镁硅比相比,养护温度对硅酸镁水泥的透射率、反射率和吸收率的影响更为明显.微观测试结果显示含水量和孔结构对硅酸镁水泥的电磁性能有重要影响.
Keyword ：
镁硅比 镁硅比 硅酸镁水泥 硅酸镁水泥 养护温度 养护温度 电磁性能 电磁性能
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 李悦 , 李洪文 , 金彩云 et al. 镁硅比和养护温度对硅酸镁水泥电磁性能的影响 [J]. | 建筑材料学报 , 2024 , 27 (2) : 139-145 . |
| MLA | 李悦 et al. "镁硅比和养护温度对硅酸镁水泥电磁性能的影响" . | 建筑材料学报 27 . 2 (2024) : 139-145 . |
| APA | 李悦 , 李洪文 , 金彩云 , 林辉 , 罗晓 . 镁硅比和养护温度对硅酸镁水泥电磁性能的影响 . | 建筑材料学报 , 2024 , 27 (2) , 139-145 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
为探究碳中和目标下减排措施对粤港澳大湾区臭氧（O_3）形成的潜在影响，我们重点研究了粤港澳大湾区城区和郊区的O_3浓度和敏感性变化。本文基于中国未来排放动态评估模型（Dynamic Projection model for Emissions in China，简称DPEC）提供的“双碳”目标下的排放情景数据，采用WRF-SMOKE-CMAQ空气质量模式，分别模拟了我国2020年、2030年和2060年这三个关键节点年份的O_3浓度，并利用内嵌于CMAQ的DDM(Decoupled Direct Method）模块计算了各地O_3对NO_x和VOC的一阶敏感系数■，以揭示O_3对这两种主要前体物排放的响应敏感程度。研究表明：(1)对于O_3浓度的变化，从不同季节来看，与2020年相比，粤港澳大湾区地区2030年和2060年冬季O_3浓度均呈上升趋势。从不同城市来看，与其他城市相比，深圳的O_3浓度一直处于明显的上升趋势。(2)对于O_3敏感性的变化，■整体呈上升趋势，且负值区域逐渐减少，正值区域逐渐扩大。2030年■负值绝对值下降，NO_x滴定作用减弱。2060年，粤港澳大湾区大部分地区■转化为正值。对■来说，未来情景中研究区域全年均为正值且整体呈下降趋势。
Keyword ：
粤港澳大湾区 粤港澳大湾区 未来趋势 未来趋势 CMAQ-DDM CMAQ-DDM 臭氧敏感性 臭氧敏感性
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 郝江虹 , 李悦 , 赵莹 et al. 碳中和背景下粤港澳大湾区臭氧浓度及敏感性变化（英文） [J]. | Journal of Resources and Ecology , 2024 , 15 (01) : 204-213 . |
| MLA | 郝江虹 et al. "碳中和背景下粤港澳大湾区臭氧浓度及敏感性变化（英文）" . | Journal of Resources and Ecology 15 . 01 (2024) : 204-213 . |
| APA | 郝江虹 , 李悦 , 赵莹 , 程沁毓 , 赵秀勇 , 陈东升 . 碳中和背景下粤港澳大湾区臭氧浓度及敏感性变化（英文） . | Journal of Resources and Ecology , 2024 , 15 (01) , 204-213 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
目的：构建肺腺癌发生发展过程中的动态五节点ceRNA调控网络，挖掘核心基因，为肺腺癌诊断及预后提供新思路。方法：从TCGA及GEO数据库获得肺腺癌mRNA、lncRNA、miRNA、circRNA、TF表达数据，将患者样本根据临床分期分为癌旁样本、早期样本(stage I期)、晚期样本(stage II、III、IV期)，并将癌旁与早期、早期与晚期分别进行差异分析，将两组差异结果取交集，基于ChipBase、HOCOMOCO V11、AnimalTFDB、GTRD、TransmiR、TRRUST、CircBank、Starbase、miR2Disease、miRecords、miRTarBase和TarBase、LncBase、LncLocator数据库获得调控关系对，构建五节点ceRNA调控网络，对网络中的靶基因进行GO富集以及构建PPI网络挖掘核心基因。结果：构建了随分期动态变化的LUAD 5节点ceRNA调控网络，网络中的靶基因主要富集在脂肪酸代谢和突触成熟等生物过程中，最后获得与肺腺癌发生发展有关的8个核心基因NEFL、RBP4、FGA、SLC2A1、ALB、AFP、SLC7A5、DKK1。结论：调控网络中靶基因富集的相关通路以及8个核心基因NEFL、RBP4、FGA、SLC2A1、ALB、AFP、SLC7A5、DKK1为肺腺癌发生发展过程的机制分析、诊断及预后提供新思路。
Keyword ：
Bioinformatics Bioinformatics 调控网络 调控网络 生物信息学 生物信息学 LUAD LUAD ceRNA ceRNA Regulatory Network Regulatory Network
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 刘梦曦 , 赵宇 , 李悦 et al. 肺腺癌动态5节点ceRNA调控网络预测及机理分析 [J]. | 生物医学 , 2024 , 14 (2) : 267-277 . |
| MLA | 刘梦曦 et al. "肺腺癌动态5节点ceRNA调控网络预测及机理分析" . | 生物医学 14 . 2 (2024) : 267-277 . |
| APA | 刘梦曦 , 赵宇 , 李悦 , 张小轶 . 肺腺癌动态5节点ceRNA调控网络预测及机理分析 . | 生物医学 , 2024 , 14 (2) , 267-277 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
The thorough investigation into the evolution of concrete performance under sulfate attack environments holds significant importance for engineering applications in specific conditions. In this paper, a prediction model for the two evaluation indexes of sulfate attack resistance of concrete (SARC), namely compressive strength corrosion resistance coefficient and mass loss rate, is established based on four machine-learning algorithms: Support Vector Regression, Random Forest Regression, Gradient Boosting, and Extreme Gradient Boosting (XGB). A comparison of the various performances showed that the model based on the XGB algorithm had the strongest generalization ability and offered the best prediction of SARC (K test set R2=0.963, MLR test set R2=0.903). Feature importance and partial correlation analyses were performed for the two XGB models separately, and a graphical user interface was designed based on the two predictive models. The results reveal that the number of cycles, water-binder ratio, and cement content significantly influence the SARC. Moderately increasing cement, fly ash, and coarse aggregate content can enhance the SARC. Increasing the number of cycles, drying time, water-binder ratio, sand, and solution concentration will reduce the SARC. Therefore, measures such as moderately increasing the amount of cement, reducing the water-binder ratio, and increasing the fly ash content can be increased to improve the SARC, but overuse has no significant effect.
Keyword ：
Compressive strength corrosion resistance coefficient Compressive strength corrosion resistance coefficient Mass loss rate Mass loss rate Features importance analysis Features importance analysis Partial dependence analysis Partial dependence analysis Machine-learning model Machine-learning model
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Li, Yue , Shi, Junjie , Shen, Jiale et al. Prediction of the Sulfate Attack Resistance of Concrete Based on Machine-Learning Algorithms [J]. | JOURNAL OF COMPUTING IN CIVIL ENGINEERING , 2024 , 38 (6) . |
| MLA | Li, Yue et al. "Prediction of the Sulfate Attack Resistance of Concrete Based on Machine-Learning Algorithms" . | JOURNAL OF COMPUTING IN CIVIL ENGINEERING 38 . 6 (2024) . |
| APA | Li, Yue , Shi, Junjie , Shen, Jiale , Jin, Kaikai , Fan, Mengtian , Liu, Xiaolong . Prediction of the Sulfate Attack Resistance of Concrete Based on Machine-Learning Algorithms . | JOURNAL OF COMPUTING IN CIVIL ENGINEERING , 2024 , 38 (6) . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
The effects of different contents of silica fume (SF) on the electromagnetic transmission performance (ETP) and mechanical properties of calcium aluminate cement (CAC) paste were studied. The dielectric loss of the main hydrated phases in the CAC paste was compared and analyzed for the first time by synthesizing various phases, and the electromagnetic transmission mechanism of SF in the CAC paste was explored. The results show that after adding SF, the porosity and pore tortuosity of CAC paste decrease, C(2)ASH(8) is densely packed in the pores, and long-term strength is significantly improved. With the increase of SF content, the dielectric constant and loss tangent decrease, and ETP becomes better. When the SF content is 30%, the ETP is increased by 40.51%, and the 90d compressive strength is increased by 18.50%. The degree of electromagnetic wave loss in CAC paste from large to small is: C(3)AH(6) > AH(3) > C(2)AH(8) > C(2)ASH(8) > CAH(10) > CA and CA(2). Finally, the reasons for the improvement of long-term strength and ETP of CAC paste by SF were comprehensively elucidated from the aspects of crystal content, pore structure, and microstructure through a variety of microscopic test methods. This SF-CAC composite material is expected to be used in the basement or the partition wall of the house to enhance the signal of electronic devices, such as mobile phones in the above places.
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Yang, Bin , Li, Yue , Lin, Hui et al. Study on the electromagnetic transmission properties and mechanical properties of calcium aluminate cement paste by silica fume [J]. | JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS , 2024 , 35 (21) . |
| MLA | Yang, Bin et al. "Study on the electromagnetic transmission properties and mechanical properties of calcium aluminate cement paste by silica fume" . | JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS 35 . 21 (2024) . |
| APA | Yang, Bin , Li, Yue , Lin, Hui , Liu, Jianglin , Li, Yaqiang , Guo, Qiusheng . Study on the electromagnetic transmission properties and mechanical properties of calcium aluminate cement paste by silica fume . | JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS , 2024 , 35 (21) . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
In urban areas with many buildings, the transmission of 5 G signals can be greatly absorbed or reflected, leading to decreased effectiveness of transmission. To address the issues mentioned above, the functional admixture formed by the mixture of nanocrystalline cellulose (NCC) and diammonium hydrogen phosphate (DAP) is added into concrete in this study, the electromagnetic transmission performance (ETP) and mechanical properties of concrete are enhanced simultaneously for the first time, and the electromagnetic transmission coefficient of concrete is doubled. When NCC and DAP are mixed, the electromagnetic transmission coefficient of concrete improved by 117.65 %-124.35 %, among which, when 0.5 wt% DAP and 4 wt% NCC are mixed, the electromagnetic transmission coefficient of concrete is the highest, and some frequency bands are as high as 70 %, meeting the requirements of electromagnetic wave transmitting materials. In addition, the compressive strength of concrete containing 4 wt% NCC and 0.5 wt% DAP increases by 24.3 % compared to concrete containing only 4 wt% NCC.
Keyword ：
5G frequency band 5G frequency band Mechanism analysis Mechanism analysis Concrete Concrete Functional admixture Functional admixture performance performance High electromagnetic transmission High electromagnetic transmission
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Liu, Jianglin , Li, Yue , Jin, Caiyun et al. Preparation and research of high electromagnetic wave transmission type concrete in 5G frequency band [J]. | CONSTRUCTION AND BUILDING MATERIALS , 2024 , 443 . |
| MLA | Liu, Jianglin et al. "Preparation and research of high electromagnetic wave transmission type concrete in 5G frequency band" . | CONSTRUCTION AND BUILDING MATERIALS 443 (2024) . |
| APA | Liu, Jianglin , Li, Yue , Jin, Caiyun , Li, Yaqiang , Yang, Bin , Lin, Hui . Preparation and research of high electromagnetic wave transmission type concrete in 5G frequency band . | CONSTRUCTION AND BUILDING MATERIALS , 2024 , 443 . |
| Export to | NoteExpress RIS BibTex |
Abstract ：
In this study, a viscosity-reducing polycarboxylic acid superplasticizer (VRPCE) was synthesized using methylallyl polyoxyethylene ether (HPEG), acrylic acid (AA), and maltodextrin maleic acid monoester (MDMA) as the main raw materials. The influences of the VRPCE on the microscopic properties of cement paste were studied by gel permeation chromatography (GPC), total organic carbon test (TOC), zeta potential, laser particle size analysis, XRD, MIP, TG, and SEM. Finally, the effects of the VRPCE on the macroscopic properties of cement mortar were evaluated through flow time, slump flow, compressive strength, shrinkage, and creep. The results showed that the VRPCE can improve the hydration degree of the cement, optimize the pore structure, increase the porosity, improve the fluidity, compressive strength, and creep, and decrease the shrinkage resistance of the cement mortar.
Keyword ：
micro analysis micro analysis macro properties macro properties cement paste cement paste cement mortar cement mortar viscosity-reducing polycarboxylic acid superplasticizer viscosity-reducing polycarboxylic acid superplasticizer
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Wang, Zigeng , Shen, Yonghao , Li, Yue et al. Experimental Study on Improving the Performance of Cement Mortar with Self-Synthesized Viscosity-Reducing Polycarboxylic Acid Superplasticizer [J]. | BUILDINGS , 2024 , 14 (8) . |
| MLA | Wang, Zigeng et al. "Experimental Study on Improving the Performance of Cement Mortar with Self-Synthesized Viscosity-Reducing Polycarboxylic Acid Superplasticizer" . | BUILDINGS 14 . 8 (2024) . |
| APA | Wang, Zigeng , Shen, Yonghao , Li, Yue , Tian, Yuan . Experimental Study on Improving the Performance of Cement Mortar with Self-Synthesized Viscosity-Reducing Polycarboxylic Acid Superplasticizer . | BUILDINGS , 2024 , 14 (8) . |
| Export to | NoteExpress RIS BibTex |
Export
| Results： |
Selected to |
| Format： |
