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学者姓名：李悦
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Abstract ：
In this study, a compressive strength prediction model for Magnesium Phosphate Cement containing solid waste materials (SW-MPC) was developed using machine learning (ML) techniques. Firstly, a database of SW-MPC compressive strength was established through the selection of solid waste materials based on their chemical compositions. Subsequently, various ML algorithms were employed to construct predictive models for SW-MPC compressive strength, and the predictive accuracy of these models was compared. Furthermore, Shapley Additive Explanations (SHAP) analysis was utilized to assess the impact of various parameters on SW-MPC compressive strength. The results revealed that the Extreme Gradient Boosting (XGB) model exhibited the highest predictive accuracy and generalization ability. Among numerous feature parameters, the curing age (Age) and phosphate type (Type_PO4) were identified as the most critical factors influencing SW-MPC compressive strength. SW-MPC compressive strength exhibited a positive correlation with the Si content (Con_Si) and Al content (Con_Al) in the solid waste materials, while it generally displayed a negative correlation with Fe content (Con_Fe). The optimal Magnesium-to-Phosphorus ratio (M/P) for SW-MPC preparation ranged from 4 to 6. Furthermore, the influence of the dosage of solid waste materials (Per_sw) on the compressive strength of SW-MPC was complex, with the optimal content being around 10% and 35%. This complexity arose from the significant impact of the interactive effects between the content of different elements in solid waste materials and Per_sw on the compressive strength of SW-MPC.
Keyword ：
Magnesium phosphate cement Magnesium phosphate cement Solid waste materials Solid waste materials Compressive strength prediction Compressive strength prediction Machine learning Machine learning
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| GB/T 7714 | Luo, Xiao , Li, Yue , Wang, Qiuao et al. Machine learning based modeling for predicting the compressive strength of solid waste material-incorporated Magnesium Phosphate Cement [J]. | JOURNAL OF CLEANER PRODUCTION , 2024 , 442 . |
| MLA | Luo, Xiao et al. "Machine learning based modeling for predicting the compressive strength of solid waste material-incorporated Magnesium Phosphate Cement" . | JOURNAL OF CLEANER PRODUCTION 442 (2024) . |
| APA | Luo, Xiao , Li, Yue , Wang, Qiuao , Mu, Jinlei , Liu, Yunze . Machine learning based modeling for predicting the compressive strength of solid waste material-incorporated Magnesium Phosphate Cement . | JOURNAL OF CLEANER PRODUCTION , 2024 , 442 . |
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Abstract ：
This paper employs Support Vector Regression (SVR), Random Forest Regression (RF), Gradient Boosting (GB), and Extreme Gradient Boosting (XGB) algorithms to establish the compressive strength prediction models for Recycled Aggregate Concrete (RAC) and analyze the influence of ten inputs on RAC compressive strength. Combined with the best prediction model, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) is applied for multi-objective optimization of mixture proportions in RAC addressing cost, carbon emissions, and compressive strength as key objectives. The results demonstrate that the RAC compressive strength prediction model using the GB algorithm exhibits the highest accuracy, with the R2 value of 0.99 for the training set and 0.85 for the testing set. Feature importance and SHAP analysis reveal that cement and water contents are the primary factors affecting the compressive strength of RAC. Among the three mineral admixtures including Silica Fume (SF), Fly Ash (FA), and Ground Granulated Blast Furnace Slag (GGBFS), SF exhibits superior improvement in the compressive strength of RAC compared to FA and GGBFS. Partial dependency plot analysis indicates that concrete strength remains unaffected by recycled coarse aggregate content within the range of 0 to 300 kg/m3. Pareto fronts of a tri-objective mixture optimization problem for RAC are successfully obtained through the GB model combined with the NSGA-II algorithm, which can guide the optimization of RAC preparation.
Keyword ：
Multi -objective optimization Multi -objective optimization Strength prediction Strength prediction Machine learning Machine learning Recycled aggregate concrete Recycled aggregate concrete
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| GB/T 7714 | Fan, Mengtian , Li, Yue , Shen, Jiale et al. Multi-objective optimization design of recycled aggregate concrete mixture proportions based on machine learning and NSGA-II algorithm [J]. | ADVANCES IN ENGINEERING SOFTWARE , 2024 , 192 . |
| MLA | Fan, Mengtian et al. "Multi-objective optimization design of recycled aggregate concrete mixture proportions based on machine learning and NSGA-II algorithm" . | ADVANCES IN ENGINEERING SOFTWARE 192 (2024) . |
| APA | Fan, Mengtian , Li, Yue , Shen, Jiale , Jin, Kaikai , Shi, Junjie . Multi-objective optimization design of recycled aggregate concrete mixture proportions based on machine learning and NSGA-II algorithm . | ADVANCES IN ENGINEERING SOFTWARE , 2024 , 192 . |
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Abstract ：
With the advent of the 5 G era, data transmission is faster, but because the concrete is a natural wave absorber agent, the signal in underground space, building groups and other areas is still poor, and there are few reports on how to improve the electromagnetic transmission performance of concrete in the 5 G frequency band and mechanism analysis. In addressing these issues, this study incorporated 0 wt%, 1 wt%, 2 wt%, and 3 wt% functionalized nanoscale wood fiber (NWF) into ordinary Portland cement (OPC) paste to assess their impact on the compressive strength and electromagnetic transmission performance (ETP). The findings reveal that while NWF reduces the OPC paste compressive strength. However, it exerts a positive influence on the molecular structure, electrostatic force, pore solution, and pore structure. Ultimately, the ETP of OPC paste can be enhanced by 10.3-47.1%. Notably, at 2 wt% NWF content, the ETP is significantly improved (boosted by 33.1%), with an impressive electromagnetic transmission coefficient of 66.8%, while the compressive strength is only reduced by 16.7%.
Keyword ：
Functionalized wood fiber Functionalized wood fiber Mechanism analysis Mechanism analysis Electromagnetic transmission performance Electromagnetic transmission performance OPC paste OPC paste
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| GB/T 7714 | Liu, Jianglin , Li, Yue , Jin, Caiyun et al. Exploring the influence and mechanisms of functionalized nanoscale wood fiber on the electromagnetic transmission performance of OPC paste [J]. | CONSTRUCTION AND BUILDING MATERIALS , 2024 , 420 . |
| MLA | Liu, Jianglin et al. "Exploring the influence and mechanisms of functionalized nanoscale wood fiber on the electromagnetic transmission performance of OPC paste" . | CONSTRUCTION AND BUILDING MATERIALS 420 (2024) . |
| APA | Liu, Jianglin , Li, Yue , Jin, Caiyun , Lin, Hui , Yang, Bin . Exploring the influence and mechanisms of functionalized nanoscale wood fiber on the electromagnetic transmission performance of OPC paste . | CONSTRUCTION AND BUILDING MATERIALS , 2024 , 420 . |
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Abstract ：
The mechanical properties and electromagnetic transmission properties of high alumina cement (HAC) paste with different glass powder (GP) contents were investigated in this paper. The effects of hydration phase, unhydrated phase, GP phase and pore phase on the dielectric properties of HAC paste were quantitatively analyzed. The results show that the strength, fluidity and setting time of HAC paste decrease with the increase of GP replacement rate. The real part, imaginary part and loss angle tangent of dielectric constant decrease. The addition of GP leads to a reduction in reflectivity and absorptivity of electromagnetic waves in the paste, while increasing transmittivity. Furthermore, the real part of the dielectric constant of each phase in the HAC paste follows the order: hydration product phase > unhydrated phase > GP phase > pore phase. With an increase in GP content, the real part of the dielectric constant of the hydration product phase increases. Finally, based on the results of vector network analysis (VNA), mercury intrusion porosimetry (MIP) and scanning electron microscopy (SEM), the reasons for the changes of mechanical properties and electromagnetic properties of HAC paste under different GP replacement rates were analyzed from the aspects of phase composition, pore distribution and microstructure.
Keyword ：
Electromagnetic transmission properties Electromagnetic transmission properties High alumina cement High alumina cement Glass powder Glass powder Mechanical properties Mechanical properties
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| GB/T 7714 | Yang, Bin , Li, Yue , Liu, Jianglin et al. Effect of glass powder on mechanical properties and electromagnetic transmission properties of high alumina cement paste [J]. | JOURNAL OF BUILDING ENGINEERING , 2024 , 88 . |
| MLA | Yang, Bin et al. "Effect of glass powder on mechanical properties and electromagnetic transmission properties of high alumina cement paste" . | JOURNAL OF BUILDING ENGINEERING 88 (2024) . |
| APA | Yang, Bin , Li, Yue , Liu, Jianglin , Shen, Jiale , Lin, Hui , Guo, Qiusheng . Effect of glass powder on mechanical properties and electromagnetic transmission properties of high alumina cement paste . | JOURNAL OF BUILDING ENGINEERING , 2024 , 88 . |
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Abstract ：
This study prepared a sulfoaluminate cement with high electromagnetic wave transmission performance by adding air entraining agent and glass powder and revealed the related mechanism. The test results showed the air -entraining agents and glass powder cannot affect the type of hydration products of the sulfoaluminate cement. The addition of the air -entraining agents and glass powder reduced the dielectric constant of the SAC while increasing the magnetic permeability. The air -entraining agents and glass powder increased the transmittance with a maximum value of 60.2 %, illustrating the electromagnetic wave transmission performance of the sulfoaluminate cement could be improved. The electrical resistivity of the sulfoaluminate cement with the air -entraining agents and glass powder did not change significantly because the air -entraining agents increased the electrical resistivity and the effect of the glass powder was the opposite. The strengths of the sulfoaluminate cement with the air -entraining agents and glass powder decreased.
Keyword ：
Glass powder Glass powder Electromagnetic wave transmission performance Electromagnetic wave transmission performance Microscopic analysis Microscopic analysis Air-entraining agent Air-entraining agent Mechanical performance Mechanical performance
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| GB/T 7714 | Wang, Zigeng , Shen, Yonghao , Li, Yue et al. Effects of air-entraining agents and glass powder on the electromagnetic wave transmission and mechanical performances of sulfoaluminate cement [J]. | JOURNAL OF BUILDING ENGINEERING , 2024 , 89 . |
| MLA | Wang, Zigeng et al. "Effects of air-entraining agents and glass powder on the electromagnetic wave transmission and mechanical performances of sulfoaluminate cement" . | JOURNAL OF BUILDING ENGINEERING 89 (2024) . |
| APA | Wang, Zigeng , Shen, Yonghao , Li, Yue , Cheng, Yaping . Effects of air-entraining agents and glass powder on the electromagnetic wave transmission and mechanical performances of sulfoaluminate cement . | JOURNAL OF BUILDING ENGINEERING , 2024 , 89 . |
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Abstract ：
Limestone (calcite) calcined clay cement (LC3) is a promising low-CO2 binder, but the low activity of calcite cannot compensate the reduction in clinker factor, resulting in low one-day strength and limiting its broad applications. As recent carbon capture and utilization technologies allow scalable production of vaterite, a more reactive CaCO3 polymorph, we overcome the challenge by introducing vaterite calcined clay cement (VC3), inspired by the vaterite-calcite phase change. In the present study, VC3 exhibits higher compressive strengths and faster hydration than LC3. Compared to hydrated LC3, hydrated VC3 exhibits increased amount of hemi-and mono-carboaluminate formation and decreased amount of stra center dot tlingite formation. With gypsum adjustment, the 1-day strength of VC3 is higher than that of pure cement reference. VC3, a low-CO2 binder, presents great potential as a host of the metastable CaCO3 for carbon storage and utilization and as an enabler of carbon capture at gigaton scales.
Keyword ：
Low-CO2 cement Low-CO2 cement Carbon storage Carbon storage CCUS CCUS Carbon utilization Carbon utilization Bio-inspired Bio-inspired
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| GB/T 7714 | Li, Yaqiang , Li, Yue , Ma, Hongyan et al. The hydration, microstructure, and mechanical properties of vaterite calcined clay cement (VC3) [J]. | CEMENT AND CONCRETE RESEARCH , 2024 , 175 . |
| MLA | Li, Yaqiang et al. "The hydration, microstructure, and mechanical properties of vaterite calcined clay cement (VC3)" . | CEMENT AND CONCRETE RESEARCH 175 (2024) . |
| APA | Li, Yaqiang , Li, Yue , Ma, Hongyan , Li, Jiaqi . The hydration, microstructure, and mechanical properties of vaterite calcined clay cement (VC3) . | CEMENT AND CONCRETE RESEARCH , 2024 , 175 . |
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Abstract ：
This study aimed to investigate the evolution of compressive strength and microstructure of hydrated magnesium silicate (MgO-SiO2-H2O) cement with Mg(OH)2 (MH) as a modifier under standard and carbonation curing conditions. Isothermal calorimetry, fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and thermogravimetry analysis (TGA) were used to analyze the hydration rate as well as the degree of hydration of the MgO-SiO2-H2O cements, and to determine the types of the physical phases and the mass fractions of the hydration products. The porosity structure and micro-morphology of MgO-SiO2-H2O cement were characterized by mercury intrusion porosimetry (MIP) and scanning electron microscopy (SEM). The results indicated that MH could slightly enhance the fluidity of MgO-SiO2-H2O cement. As the dosage of MH increased, the compressive strength of MgO-SiO2-H2O cement showed an initial increase followed by a decrease, reaching optimal mechanical properties at a 1 % dosage. The addition of 1 % MH accelerated the hydration rate of MgO-SiO2-H2O cement and the formation of M-S-H gel. Carbonation curing could convert a portion of MH into hydrated magnesium carbonates (HMCs), improving the utilization of MgO, reducing the quantity of detrimental pores, and decreasing the porosity. Furthermore, considering the synergistic effects of MH and carbonation curing, the performance of MgO-SiO2-H2O cement could be further enhanced.
Keyword ：
Compressive strength Compressive strength Mg(OH)2 Mg(OH)2 Carbonation curing Carbonation curing Mechanism analysis Mechanism analysis
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| GB/T 7714 | Lin, Hui , Pan, Bo , Li, Yue et al. The effect of Mg(OH)2 on hydrated magnesium silicate cement under different curing conditions [J]. | CONSTRUCTION AND BUILDING MATERIALS , 2024 , 445 . |
| MLA | Lin, Hui et al. "The effect of Mg(OH)2 on hydrated magnesium silicate cement under different curing conditions" . | CONSTRUCTION AND BUILDING MATERIALS 445 (2024) . |
| APA | Lin, Hui , Pan, Bo , Li, Yue , Luo, Xiao , Dong, Da . The effect of Mg(OH)2 on hydrated magnesium silicate cement under different curing conditions . | CONSTRUCTION AND BUILDING MATERIALS , 2024 , 445 . |
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Abstract ：
Alkali-activated material prepared by the silicon aluminum solid wastes are commonly considered as the low-carbon cementitious material, which has important significance for promoting the sustainable development of construction materials. The mechanical properties, reaction mechanisms, and microstructure evolutions of Alkali-activated Ultra High Performance Concrete (AAUHPC) matrix with 7 design parameters were comprehensively studied through testing the fluidity, 28 days compressive strength, 28 days flexural strength, hydration heat, and microstructures. The environmental impacts including carbon emissions and energy consumption are evaluated. Appropriately increasing Na2O dosage, silicate modulus (Ms), and granulated blast furnace slag (GBFS) to fly ash (FA) mass ratio (GBFS/FA) and decreasing silica fume (SF) content and water to binder ratio (W/B) are conducive to accelerating the early reaction of AAUHPC. High Na2O dosage, Ms, SF content, and W/B are not conducive to increasing the 3 days reaction degree of AAUHPC, while the moderate GBFS/FA is corresponding to the higher 3 days reaction degree of AAUHPC. The optimal Na2O dosage, Ms, GBFS/FA, SF content, sand to binder ratio (S/B), fine sands content in quartz sands, W/B are 8 %, 1.4, 4.5:1, 10 %, 1.0, 50 %, and 0.34 for the 28 days mechanical properties. The acquired AAUHPC matrix with fluidity of 218 mm and the lowest porosity has 28 days compressive strength of 114.8 MPa and 28 days flexural strength of 10.6 MPa, whose microstructure has more high polymerization degree C(N)-A-S-H gels with higher Al/Si, lower Na/Al, and lower Ca/Si molar ratios. Compared to the traditional Ultra High Performance Concrete (UHPC), the environmentally friendly AAUHPC can reduce the carbon emission by 42%-52 % and the energy consumption by 5%-18 %. The total CO2 emission of per unit compressive strength (1.0 MPa) of concrete per cubic meter (CI) is in range of 2.5-3.7 kg, which is significantly lower than the traditional UHPC (6.98 kg/MPa center dot m3).
Keyword ：
crete (AAUHPC) crete (AAUHPC) Alkali -activated ultra high performance con Alkali -activated ultra high performance con Mechanical properties Mechanical properties Environmental impacts assessments Environmental impacts assessments Microstructure Microstructure Mixture optimization Mixture optimization
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| GB/T 7714 | Shen, Jiale , Li, Yue , Lin, Hui et al. The research on the mechanical properties, microstructure, environmental impacts of environmentally friendly Alkali-activated ultra high performance concrete (AAUHPC) matrix with varied design parameters [J]. | JOURNAL OF BUILDING ENGINEERING , 2024 , 94 . |
| MLA | Shen, Jiale et al. "The research on the mechanical properties, microstructure, environmental impacts of environmentally friendly Alkali-activated ultra high performance concrete (AAUHPC) matrix with varied design parameters" . | JOURNAL OF BUILDING ENGINEERING 94 (2024) . |
| APA | Shen, Jiale , Li, Yue , Lin, Hui , Li, Yaqiang . The research on the mechanical properties, microstructure, environmental impacts of environmentally friendly Alkali-activated ultra high performance concrete (AAUHPC) matrix with varied design parameters . | JOURNAL OF BUILDING ENGINEERING , 2024 , 94 . |
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Abstract ：
Due to experimental constraints, traditional strength prediction models for manufactured sand concrete (MSC) exhibit significant limitations and have a narrow range of applicability. To overcome these limitations and enhance prediction accuracy, this paper, based on the widespread application of machine learning in concrete performance research, employed four algorithms: Support Vector Regression (SVR), Random Forest Regression (RFR), Gradient Boosting (GB), and Extreme Gradient Boosting (XGB) to develop highly accurate and strongly generalizable models for predicting the compressive strength (CS) and splitting tensile strength (STS) ofMSC. The predictive performance of each model was evaluated, the influence laws of various factors were analyzed, and finally, macroscopic experiments were conducted to validate the models' prediction accuracy and generalization ability. The development of these models and the analysis of the influence laws of various factors on the strength of MSC provide a valuable reference for the mix design. The conclusions are as follows: (1) The XGB model demonstrates the highest prediction accuracy and strongest generalization ability for both the CS and STS of MSC, achieving R-2 values of 0.98 and 0.94 on the testing set, respectively. (2) The CS and STS of MSC are primarily influenced by four factors: water-binder ratio (W/B), curing age (AGE), cement (C), and coarse aggregate (RI >= 0.08869, RI: relative importance), showing a positive correlation with AGE and C, and a negative correlation with W/B. As the fly ash content, stone powder content, maximum particle size of coarse aggregate, and sand ratio increase, the CS and STS initially increase and then decrease. Appropriately increasing the fineness modulus of manufactured sand is beneficial to both CS and STS, while the addition of slag is beneficial to CS and harmful to STS. (3) The prediction accuracy and generalization ability of the XGB model are verified through three sets of macroscopic experiments: C30, C35, and C40. The relative errors of each set's predictions are less than 8 %. (4) A graphical user interface is constructed based on the XGB model, enhancing its practicality.
Keyword ：
Machine learning Machine learning Experimental verification Experimental verification Manufactured sand concrete Manufactured sand concrete Compressive strength Compressive strength Splitting tensile strength Splitting tensile strength
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| GB/T 7714 | Jin, Kaikai , Li, Yue , Shen, Jiale et al. Investigation on compressive strength and splitting tensile strength of manufactured sand concrete: Machine learning prediction and experimental verification [J]. | JOURNAL OF BUILDING ENGINEERING , 2024 , 97 . |
| MLA | Jin, Kaikai et al. "Investigation on compressive strength and splitting tensile strength of manufactured sand concrete: Machine learning prediction and experimental verification" . | JOURNAL OF BUILDING ENGINEERING 97 (2024) . |
| APA | Jin, Kaikai , Li, Yue , Shen, Jiale , Lin, Hui , Fan, Mengtian , Shi, Junjie . Investigation on compressive strength and splitting tensile strength of manufactured sand concrete: Machine learning prediction and experimental verification . | JOURNAL OF BUILDING ENGINEERING , 2024 , 97 . |
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Abstract ：
This paper studied the effects of microwave power and time on microstructure and mechanical properties of Ultra -High Performance Geopolymer Concrete (UHPGC) matrix. Results show that conducting microwave treatment at curing age of 3d is suitable, the optimal microwave power and time are 560 W and 180 s with the 3d compressive strength and flexural strength of 125.4 MPa and 6.0 MPa. The large amount of heat generates in UHPGC matrix under microwave field, which leads to the increase in temperature within the UHPGC matrix. Due to hydration promotion caused by internal temperature rise, the tighter gels accumulation and lower porosity can be observed, which results in the remarkable improvement of compressive strength. However, microwave heating causes higher proportion of large pores and more generation of "melon seed flake" hybrid crosslinking products mainly including N -A -S -H, which will result in the reduction of flexural strength. Moreover, microwave pre -curing is more suitable for preparing UHPGC compared with the oven pre -curing comprehensively considering the early age compressive strength enhancement and energy consumption.
Keyword ：
Mechanism analysis Mechanism analysis Microwave pre -curing Microwave pre -curing Geopolymer concrete Geopolymer concrete Ultra -High Performance Ultra -High Performance Mechanical properties Mechanical properties
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| GB/T 7714 | Shen, Jiale , Li, Yue , Lin, Hui et al. The experimental study on microwave-assisted preparation of Ultra-High Performance Geopolymer Concrete (UHPGC) [J]. | CONSTRUCTION AND BUILDING MATERIALS , 2024 , 414 . |
| MLA | Shen, Jiale et al. "The experimental study on microwave-assisted preparation of Ultra-High Performance Geopolymer Concrete (UHPGC)" . | CONSTRUCTION AND BUILDING MATERIALS 414 (2024) . |
| APA | Shen, Jiale , Li, Yue , Lin, Hui , Liu, Jianglin . The experimental study on microwave-assisted preparation of Ultra-High Performance Geopolymer Concrete (UHPGC) . | CONSTRUCTION AND BUILDING MATERIALS , 2024 , 414 . |
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