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Interpretable Machine Learning Method for compressive strength Prediction and Analysis of Pure Fly Ash-based Geopolymer Concrete

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Journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 65-78页

作者： SHI Yuqiong LI Jingyi ZHANG Yang LI Li Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education Northwest A&F Uni-versityYangling 712100China College of Water Resources and Architectural Engineering Northwest A&F UniversityYangling 712100China Chongqing Key Laboratory of Public Big Data Security Technology Chongqing 401420China Chongqing College of Mobile Communication Chongqing 401520China Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina National Rail Transit Electrification and Automation Engineering Technology Research Center(Hong Kong Branch) The Hong Kong Polytechnic UniversityKowloonHung HomHong KongChina

In order to study the characteristics of pure fly ash-based geopolymer concrete(PFGC)conveniently,we used a machine learning method that can quantify the perception of characteristics to predict its compressive *** this study,505 groups of data were collected,and a new database of compressive strength of PFGC was *** order to establish an accurate prediction model of compressive strength,five different types of machine learning networks were used for comparative *** five machine learning models all showed good compressive strength prediction performance on *** them,R2,MSE,RMSE and MAE of decision tree model(DT)are 0.99,1.58,1.25,and 0.25,*** R2,MSE,RMSE and MAE of random forest model(RF)are 0.97,5.17,2.27 and 1.38,*** two models have high prediction accuracy and outstanding generalization *** order to enhance the interpretability of model decision-making,we used importance ranking to obtain the perception of machine learning model to 13 *** 13 variables include chemical composition of fly ash(SiO_(2)/Al_(2)O_(3),Si/Al),the ratio of alkaline liquid to the binder,curing temperature,curing durations inside oven,fly ash dosage,fine aggregate dosage,coarse aggregate dosage,extra water dosage and sodium hydroxide *** temperature,specimen ages and curing durations inside oven have the greatest influence on the prediction results,indicating that curing conditions have more prominent influence on the compressive strength of PFGC than ordinary Portland cement *** importance of curing conditions of PFGC even exceeds that of the concrete mix proportion,due to the low reactivity of pure fly ash.

关键词： machine learning pure fly ash geopolymer compressive strength feature perception

Data-driven intelligent modeling of unconfined compressive strength of heavy metal-contaminated soil

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Journal of Rock Mechanics and Geotechnical Engineering 2025年第3期17卷 1801-1815页

作者： Syed Taseer Abbas Jaffar Xiangsheng Chen Xiaohua Bao Muhammad Nouman Amjad Raja Tarek Abdoun Waleed El-Sekelly Key Laboratory for Resilient Infrastructures of Coastal Cities MOECollege of Civil and Transportation EngineeringShenzhen UniversityShenzhen518060China New York University Abu Dhabi(NYUAD) Saadiyat IslandAbu Dhabi129188United Arab Emirates Department of Civil Engineering University of Management and TechnologyLahorePakistan Department of Structural Engineering Mansoura UniversityMansouraEgypt

This study focuses on empirical modeling of the strength characteristics of urban soils contaminated with heavy metals using machine learning tools and their subsequent stabilization with ordinary Portland cement(OPC).For dataset collection,an extensive experimental program was designed to estimate the unconfined compressive strength(Qu)of heavy metal-contaminated soils collected from awide range of land use pattern,***,industrial and roadside ***,a robust comparison of predictive performances of four data-driven models including extreme learning machines(ELMs),gene expression programming(GEP),random forests(RFs),and multiple linear regression(MLR)has been *** completeness,a comprehensive experimental database has been established and partitioned into 80%for training and 20%for testing the developed *** included varying levels of heavy metals like Cd,Cu,Cr,Pb and Zn,along with *** results revealed that the GEP model outperformed its counterparts:explaining approximately 96%of the variability in both training(R2=0.964)and testing phases(R^(2)=0.961),and thus achieving the lowest RMSE and MAE *** performed commendably but was slightly less accurate than GEP whereas MLR had the lowest performance *** also provided the benefit of traceable mathematical equation,enhancing its applicability not just as a predictive but also as an explanatory *** its insights,the study is limited by its focus on a specific set of heavy metals and urban soil samples of a particular region,which may affect the generalizability of the findings to different contamination profiles or environmental *** study recommends GEP for predicting Qu in heavy metal-contaminated soils,and suggests further research to adapt these models to different environmental conditions.

关键词： Contaminated soil Heavy metals Machine learning Predictive modeling compressive strength

compressive strength Development and Microstructure of Cement-asphalt Mortar

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Journal of Wuhan University of Technology(Materials Science) 2011年第5期26卷 998-1003页

作者：王强阎培渝 Department of Civil Engineering Tsinghua University

The compressive strength developing process and the microstructure of cement-asphalt mortar （CA mortar） were *** fluidity of CA mortar has a great influence on its *** optimum value of spread diameter of slump flow test is in the range of 300 to 400 *** compressive strength of CA mortar keeps a relatively high growth rate in 56 days and grows slowly *** residual water of hydration in CA mortar freezes under minus environmental temperature which can lead to a significant reduction of the strength of CA *** A/C retards asphalt emulsion splitting and thus prolongs the setting process of CA *** hydration products of cement form the major structural framework of hardened CA mortar and asphalt is a weak phase in the framework but improves the viscoelastic behavior of CA ***,asphalt emulsion should be used as much as possible on the condition that essential performance criterions of CA mortar are satisfied.

关键词： asphalt emulsion compressive strength CA mortar microstructure

compressive strength of Polymer Grouting Material at Different Temperatures

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Journal of Wuhan University of Technology(Materials Science) 2010年第6期25卷 962-965页

作者：石明生 Faculty of Infrastructure Engineering Dalian University of Technology School of Water Conservancy and Environment Zhengzhou University

In order to study the influence of temperature on compressive strength of polymer grouting material,the compression specimen injection mold is self-made,and the uniaxial compressive test was carried out in the temperature control box under different *** change regularity of compressive strength of polymer grouting material under different temperatures and the law of volume changes of polymer samples were *** experimental results show that：the compressive strength of polymer material increases with the increase of density;the temperature change has a certain influence on the compressive strength of polymer grouting material;the compressive strength decreases with temperature increases under the same density,but the compressive strength is not significantly affected by temperature when the density is less than 0.4 g/cm3;the volume change of the samples accords with the law of thermal expansion and contraction when temperature changes,and the increase of the volume is obvious when it is under high *** achievements will provide an important basis to the application of the polymer grouting material.

关键词： polymer grouting material compressive strength density temperature volume

compressive strength Estimation for the Fiber-Reinforced Polymer (FRP)-Confined Concrete Columns with Different Shapes Using Artificial Neural Networks

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Journal of Donghua University(English Edition) 2015年第3期32卷 395-400页

作者：曹玉贵李小青胡隽 College of Civil Engineering and Mechanics Huazhong University of Science and Technology

An evaluation of existing strength of concrete columns confined with fiber-reinforced polymer( FRP) was presented with extensive collection of experimental data. According to the evaluation results, artificial neural networks( ANNs) model to predict the ultimate strength of FRP confined column with different shapes was proposed. The models had seven inputs including the column length,the tensile strength of the FRP in the hoop direction,the total thickness of FRP,the diameter of the concrete specimen,the elastic modulus of FRP,the corner radius and the concrete compressive strength. The compressive strength of the confined concrete was the output data. The results reveal that the proposed models have good prediction and generalization capacity with acceptable errors.

关键词： compressive strength concrete column artificial neural networks(ANN) fiber-reinforced polymer(FRP)

compressive strength of Hydrostatic-Stress-Sensitive Materials at High Strain-Rates

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Transactions of Tianjin University 2008年第5期14卷 324-328页

作者： LI QM LU YB School of Mechanical Aerospace and Civil Engineering The University of Manchester PO Box 88 Manchester M60 1QD UK

Many engineering materials demonstrate dynamic enhancement of their compressive strength with the increase of strain-rate, which have been included in material models to improve the reliability of numerical simulations of the material and structural responses under impact and blast loads. The strain-rate effects on the dynamic compressive strength of a range of engineering materials which behave in hydrostatic-stress-sensitive manner were investigated. It is concluded that the dynamic enhancement of the compressive strength of a hydrostatic-stress-sensitive material may include inertia-induced lateral confinement effects, which, as a non-strain-rate factor, may greatly enhance the compressive strength of these materials. Some empirical formulae based on the dynamic stress-strain measurements over-predict the strain-rate effects on the compressive strength of these hydrostatic-stress-sensitive materials, and thus may over-estimate the structural resistance to impact and blast loads, leading to non-conservative design of protective structures.

关键词： hydrostatic-stress-sensitive materials split Hopkinson pressure bar dynamic increase factor compressive strength numerical simulation

compressive strength and abrasion resistance of concrete containing SiO_2 and CuO nanoparticles in different curing media

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Science China(Technological Sciences) 2011年第9期54卷 2349-2357页

作者： Shadi RIAHI Ali NAZARI Department of Materials Science and Engineering Saveh BranchIslamic Azad University

In the present study,abrasion resistance and compressive strength of concrete specimens containing SiO2 and CuO nanoparticles in different curing media have been *** cement was partially replaced by up to 2.0 wt%of SiO2 and CuO nanoparticles and the mechanical properties of the produced specimens were *** the nanoparticles content was found to increase the abrasion resistance of the specimens cured in water and saturated limewater,while this condition was not observed for compressive strength in the both curing *** enhancement of abrasion resistance was higher for the specimens containing SiO2 nanoparticles in both curing *** abrasion resistance and compressive strength of the specimens followed a similar regime as the nanoparticles increased for the specimens cured in saturated limewater,some experimental relationships has been presented to correlate these two properties of concrete for this curing *** the whole,it has been concluded that the abrasion resistance of concrete does not only depend on the corresponding compressive strength.

关键词： nanopartlcles abrasion resistance compressive strength curing medium thermogravimetric analysis XRD SEM

Effect of Silica Fume on compressive strength of Oil-Polluted Concrete in Different Marine Environments

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China Ocean Engineering 2017年第6期31卷 716-723页

作者： Hamid SHAHRABADI Sina SAYAREH Hamed SARKARDEH Department of Civil Engineering Chabahar Maritime UniversityChabaharIran Department of Civil Engineering University of Sistan&BaluchestanZahedanIran Department of Civil Engineering Faculty of EngineeringHakim Sabzevari UniversitySabzevarIran

In the present research, effect of silica fume as an additive and oil polluted sands as aggregates on compressive strength of concrete were investigated experimentally. The amount ofoil in the designed mixtures was assumed to be constant and equal to 2% of the sand weight. Silica fume accounting for 10%, 15% and 20% of the weight is added to the designed mixture. After preparation and curing, concrete specimens were placed into the three different conditions： fresh, brackish and saltwater environments （submerged in fresh water, alternation of exposed in air ＆ submerged in sea water and submerged in sea water）. The result of compressive strength tests shows that the compressive strength of the specimens consisting of silica fume increases significantly in comparison with the control specimens in all three environments. The compressive strength of the concrete with 15% silica fume content was about 30% to 50% higher than that of control specimens in all tested environments under the condition of using polluted aggregates in the designed mixture.

关键词： compressive strength water environments oil polluted sands silica fume marine concrete structures

Preparation of CaO-containing carbon pellets from coking coal and calcium oxide:Effects of temperature,pore distribution and carbon structure on compressive strength in pyrolysis furnace

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International Journal of Minerals,Metallurgy and Materials 2021年第7期28卷 1153-1163页

作者： Xiao-min You Xue-feng She Jing-song Wang Qing-guo Xue Ze-yi Jiang State Key Laboratory of Advanced Metallurgy University of Science and Technology BeijingBeijing 100083China School of Energy and Environmental Engineering University of Science and Technology BeijingBeijing 100083China

CaO-containing carbon pellets(CCCP)were successfully prepared from well-mixed coking coal(CC)and calcium oxide(CaO)and roasted at different pyrolysis *** effects of temperature,pore distribution,and carbon structure on the compressive strength of CCCP was investigated in a pyrolysis furnace(350-750℃).The results showed that as the roasting temperature increased,the compressive strength also increased and furthermore,structural defects and imperfections in the carbon crystallites were gradually eliminated to form more organized char structures,thus forming high-ordered ***,the CCCP preheated at 750℃exhibited the highest compressive strength.A positive relationship between the compressive strength and pore-size homogeneity was established.A linear relationship between the com-pressive strength of the CCCP and the average stack height of CC was ***,a four-stage caking mechanism was developed.

关键词： calcium oxide-containing carbon pellets calcium carbide coking coal compressive strength pyrolysis furnace