Reviews on Advanced Materials Science最新文献

{"title":"Evaluating the strength loss and the effectiveness of glass and eggshell powder for cement mortar under acidic conditions","authors":"Hao Liu, Suleman Ayub Khan, Muhammad Nasir Amin, Fadi Althoey, Muhammad Tahir Qadir","doi":"10.1515/rams-2024-0042","DOIUrl":"https://doi.org/10.1515/rams-2024-0042","url":null,"abstract":"The cementitious composite’s resistance to the introduction of harmful ions is the primary criterion that is used to evaluate its durability. The efficacy of glass and eggshell powder in cement mortar exposed to 5% sulfuric acid solutions was investigated in this study using artificial intelligence (AI)-aided approaches. Prediction models based on AI were built using experimental datasets with multi-expression programming (MEP) and gene expression programming (GEP) to forecast the percentage decrease in compressive strength (CS) after acid exposure. Furthermore, SHapley Additive exPlanations (SHAP) analysis was used to examine the significance of prospective constituents. The results of the experiments substantiated these models. High coefficient of determination (<jats:italic>R</jats:italic> <jats:sup>2</jats:sup>) values (MEP: 0.950 and GEP: 0.913) indicated statistical significance, meaning that test results and anticipated outcomes were consistent with each other and with the MEP and GEP models, respectively. According to SHAP analysis, the amount of eggshell and glass powder (GP) had the most significant link with CS loss after acid deterioration, showing a positive and negative correlation, respectively. In order to optimize efficiency and cost-effectiveness, the created models possess the capability to theoretically assess the decline in CS of GP-modified mortar across various input parameter values.","PeriodicalId":54484,"journal":{"name":"Reviews on Advanced Materials Science","volume":"6 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141779430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on physical and mechanical properties of complex-phase conductive fiber cementitious materials","authors":"Jiuyang Li, Zhenwei Wang, Jinpeng Guo, Jingwei Luo, Xinmei Fan, Yuepeng Zhu","doi":"10.1515/rams-2024-0041","DOIUrl":"https://doi.org/10.1515/rams-2024-0041","url":null,"abstract":"With the continuous upgrading of infrastructure construction and the gradual development of theoretical research about engineering construction, higher performance requirements have been put forward for concrete materials. Therefore, to meet the engineering quality requirements of various concrete structures, the research direction of engineering materials has shifted towards developing new concrete with high strength, high ductility, high toughness, and other multifunctional properties. Mixing two or more types of fibers with conductive properties with the cement matrix material allows various fibers to leverage their strengths and weaknesses, thereby utilizing their respective characteristics. This results in the formation of a complex-phase conductive fiber cementitious material (CFCM), which enhances the safety, durability, and toughness of the structure. It enables the engineering structure to exhibit intelligence and resourcefulness, thereby improving its service life and reducing the full life cycle cost of the cementitious material structure. Additionally, this approach relatively eases the demand for concrete materials and reduces material consumption. This method represents one of the research directions for new concrete. Complex-phase CFCMs are essentially smart materials capable of sensing not only compressive or tensile stresses but also temperature. The emergence of CFCM represents a significant step forward in enhancing the mechanics, functionality, and sustainability of modern infrastructure. In this experiment, an orthogonal test involving 16 working conditions with three factors and four levels was designed, with steel fiber (SF) type, SF content, and carbon fiber (CF) content as the factors. The study focused on the physical and mechanical properties of composite conductive fiber cement-based materials containing both SF and CF. Performance indicators such as flexural strength, volume resistivity, and energized temperature rise of the composite conductive fiber cement-based materials were tested. The analysis of orthogonal tests produced the following results regarding the degree of influence of each factor on the mechanical and physical properties: the order of influence on flexural strength was SF doping &gt; SF type &gt; CF doping. Further analysis revealed that the best combination was &lt;jats:italic&gt;A&lt;/jats:italic&gt;4&lt;jats:italic&gt;B&lt;/jats:italic&gt;4&lt;jats:italic&gt;C&lt;/jats:italic&gt;4. The relationship between the effect of each factor on resistivity is as follows: carbon fiber doping &gt; SF doping &gt; SF type. Comparing the weights between the levels, it can be observed that the optimal combination of conductivity schemes is also &lt;jats:italic&gt;A&lt;/jats:italic&gt;3&lt;jats:italic&gt;B&lt;/jats:italic&gt;4&lt;jats:italic&gt;C&lt;/jats:italic&gt;4. SF and CFs, respectively, enhanced the mechanical and physical properties of complex-phase conductive fiber cementitious materials. The results of the temperature rise test on cementitious materials concluded that there ","PeriodicalId":54484,"journal":{"name":"Reviews on Advanced Materials Science","volume":"61 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141740480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fe nanoparticle-functionalized ordered mesoporous carbon with tailored mesostructures and their applications in magnetic removal of Ag(i)","authors":"Wenjuan Zhang, Yuheng Li, Mengyu Ran, Youliang Wang, Yezhi Ding, Bobo Zhang, Qiancheng Feng, Qianqian Chu, Yongqian Shen, Wang Sheng","doi":"10.1515/rams-2024-0007","DOIUrl":"https://doi.org/10.1515/rams-2024-0007","url":null,"abstract":"Fe nanoparticle-functionalized ordered mesoporous carbon (Fe<jats:sup>0</jats:sup>/OMC) was synthesized using triblock copolymers as templates and through solvent evaporation self-assembly, followed by a carbothermal reduction. Fe<jats:sup>0</jats:sup>/OMC had three microstructures of two-dimensional hexagonal (space group, p6mm, Fe<jats:sup>0</jats:sup>/OMC-1), body centered cubic (Im3̄m, Fe<jats:sup>0</jats:sup>/OMC-2), and face centered cubic (Fm3̄m, Fe<jats:sup>0</jats:sup>/OMC-3) which were controlled by simply adjusting the template. All Fe<jats:sup>0</jats:sup>/OMC displayed paramagnetic characteristics, with a maximum saturation magnetization of 50.1 emu·g<jats:sup>−1</jats:sup>. This high magnetization is advantageous for the swift extraction of the adsorbent from the solution following the adsorption process. Fe<jats:sup>0</jats:sup>/OMC was used as an adsorbent for the removal of silver ions (Ag(<jats:sc>i</jats:sc>)) from aqueous solutions, and the adsorption capacity of Fe<jats:sup>0</jats:sup>/OMC-1 was enhanced by the functionalization of Fe<jats:sup>0</jats:sup>. Adsorption property of Fe<jats:sup>0</jats:sup>/OMC-1 was significantly higher than that of Fe<jats:sup>0</jats:sup>/OMC-2 and Fe<jats:sup>0</jats:sup>/OMC-3, indicating that the long and straight ordered pore channels were more favorable for adsorption, and the adsorption capacity of Ag(<jats:sc>i</jats:sc>) on Fe<jats:sup>0</jats:sup>/OMC-1 was 233 mg·g<jats:sup>−1</jats:sup>. The adsorption process exhibited conformity with both the pseudo-second-order kinetic model and the Freundlich model, suggesting that the dominant mechanism of adsorption involved multilayer adsorption on heterogeneous surfaces.","PeriodicalId":54484,"journal":{"name":"Reviews on Advanced Materials Science","volume":"19 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141717650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart technologies and textiles and their potential use and application in the care and support of elderly individuals: A systematic review","authors":"Karina Kruse, Wolfgang Sauerwein, Jörn Lübben, Richard Dodel","doi":"10.1515/rams-2023-0174","DOIUrl":"https://doi.org/10.1515/rams-2023-0174","url":null,"abstract":"Demographic change is causing society to age. At the same time, technological progress is changing the way ageing individuals are cared for and medically treated. Several smart wearables and garments have recently been developed for this purpose. Based on previous research, we see a research gap in the use of smart clothing in the care and support of elderly people, especially with regard to concrete application potentials and example products. The aim of this study was to provide an overview of the latest studies and developments in smart clothing with a focus on usability and acceptance for an elderly individuals. A systematic literature search was performed in five databases using a predefined set of keyword. A total of 169 articles published between 1/2000 and 2/2023 were identified and assessed. The literature search followed a previously prepared research protocol according to the criteria of a systematic literature search. The research field of smart clothing is expanding with smart shirts being a major focus; however other products are also being investigated, each with specific capabilities. In particular, vital parameters are constantly optimized; representative products are described and assessed according to their potential applicability to elderly people. The future applications of smart clothing in health care are promising. Many studies on basic applications of smart textiles have been done, and some studies have already involved older people. Furthermore, newly developed suggestions for possible categorizations of smart wearables as well as smart clothing as a subtype are presented based on the researched literature. We found an overall positive impression of the development and application of smart clothing, especially in geriatric settings. However, aspects such as data collection, skin compatibility, wearing comfort, and integration of geriatric factors into known acceptance models need further investigation. Over the last two decades, there have been many developments in the field of smart clothing. For the care and support of elderly people, smart clothing is an important development with great potential. Continued advancement in these products is needed to adequately address the special needs of older people.","PeriodicalId":54484,"journal":{"name":"Reviews on Advanced Materials Science","volume":"28 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141612046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Friction stir welding of dissimilar Al–Mg alloys for aerospace applications: Prospects and future potential","authors":"Santhosh Nagaraja, Praveena Bindiganavile Anand, Madhusudhan Mariswamy, Meshel Q. Alkahtani, Saiful Islam, Mohammad Amir Khan, Wahaj Ahmad Khan, Javed Khan Bhutto","doi":"10.1515/rams-2024-0033","DOIUrl":"https://doi.org/10.1515/rams-2024-0033","url":null,"abstract":"Friction stir welding (FSW) is increasingly utilized in aerospace for welding dissimilar Al–Mg alloys without melting, overcoming fusion welding challenges. This summary highlights FSW’s key aspects for dissimilar Al–Mg alloys and its aerospace relevance. These alloys are widely used in aerospace due to their beneficial properties, but fusion welding faces issues like brittle intermetallic compounds (IMC) and decreased mechanical properties. FSW addresses these challenges by using a rotating tool to generate frictional heat, plasticizing the material for solid-state joining without melting. This reduces IMC formation, enhancing joint strength and mechanical properties. Critical parameters like rotational speed, traverse speed, tool design, and process variables are emphasized for optimal FSW of dissimilar Al–Mg alloys. Joining these alloys is crucial in aerospace for applications such as aircraft structures, engine components, and fuel tanks. FSW offers advantages like weight reduction, improved fuel efficiency, and structural integrity enhancement. It allows welding dissimilar Al–Mg alloys with varying compositions for tailored material combinations meeting specific needs. In conclusion, FSW of dissimilar aluminum alloys is promising for aerospace, creating defect-free joints with improved mechanical properties. However, further research is needed to optimize parameters, explore tool designs, and validate long-term performance in aerospace environments.","PeriodicalId":54484,"journal":{"name":"Reviews on Advanced Materials Science","volume":"52 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141584934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Entropy generation analysis of MHD convection flow of hybrid nanofluid in a wavy enclosure with heat generation and thermal radiation","authors":"Syed M. Hussain, Rujda Parveen, Nek Muhammad Katbar, Sadique Rehman, Assmaa Abd-Elmonem, Nesreen Sirelkhtam Elmki Abdalla, Hijaz Ahmad, Muhammad Amer Qureshi, Wasim Jamshed, Ayesha Amjad, Rabha W. Ibrahim","doi":"10.1515/rams-2024-0037","DOIUrl":"https://doi.org/10.1515/rams-2024-0037","url":null,"abstract":"This work examines the behaviour of flow and heat transmission in the presence of hybrid nanofluid in thermal radiation, heat generation, and magnetohydrodynamics. The hybrid state in this model is represented by two different fluids, TiO<jats:sub>2</jats:sub> (titanium dioxide) and Ag (silver). The enclosure is wavy and slanted, with curving walls on the left and right. The finite difference approximation method was utilized to resolve the fundamental equations after they were non-dimensionalized, which are further reduced to a fourth-order bi-harmonic equation and are numerically solved based on the biconjugate gradient-stabilized approach method. The simulations are performed with various Rayleigh numbers, Hartmann numbers, an inclination angle of the enclosure, radiation parameters, heat generation parameters, inclination angle of the magnetic field, and volume fraction of hybrid nanoparticles. The streamlines, isotherms, and average Nusselt number contours are used to depict the thermo-fluid patterns. The findings show that the average Nusselt number relies on <jats:italic>ϕ</jats:italic> and increases as <jats:italic>ϕ</jats:italic> rises. The investigation’s findings demonstrated that the transfer of heat on the heated bottom wall significantly increases with the Rayleigh number (Ra = 10<jats:sup>5</jats:sup> and 10<jats:sup>6</jats:sup>). At a cavity inclination of 45°, interesting multi-vortex structures are observed. The results of this study may enhance the effectiveness of solar collectors, heat exchangers, and other similar systems that depend on convective heat transfer in nature.","PeriodicalId":54484,"journal":{"name":"Reviews on Advanced Materials Science","volume":"27 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141568174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on the damage mechanism and evolution model of preloaded sandstone subjected to freezing–thawing action based on the NMR technology","authors":"Shuailong Lian, Wen Wan, Yanlin Zhao, Wenqing Peng, Can Du, Hao Hu","doi":"10.1515/rams-2024-0034","DOIUrl":"https://doi.org/10.1515/rams-2024-0034","url":null,"abstract":"Investigating the damage degradation of rock during the freezing and thawing process is more consistent with the actual engineering environment, considering its internal initial damage. In this study, the effects of initial damage from preloading and subzero-temperature freezing–thawing on microscopic and macroscopic mechanical properties of sandstone were studied based on the nuclear magnetic resonance (NMR) technique. The results show that the P-wave velocity of the sample decreased, while the porosity increased as the initial damage level increased. The distribution of T<jats:sub>2</jats:sub> signal intensity exposed to the low-temperature freezing–thawing–saturation treatment was rather larger than that under normal temperature conditions for samples with different levels of initial damage from preloading, indicating that the low-temperature freezing–thawing condition would promote the porosity and have an obvious increase in damage. A continuum damage model considering subzero-temperature freezing–thawing damage from different pore sizes was finally introduced to describe the damage evolution mechanism of sandstone. The research results can be used to quantitatively evaluate the damage evolution mechanism of sandstone treated by subzero-temperature freezing–thawing without mechanical tests. Furthermore, the analysis and research results show that the damage variables of sandstone obtained by the NMR theory were lower than those of classical rock mechanics theory.","PeriodicalId":54484,"journal":{"name":"Reviews on Advanced Materials Science","volume":"19 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141552032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Promoting low carbon construction using alkali-activated materials: A modeling study for strength prediction and feature interaction","authors":"Xiaofeng Liu, Yanli Wang, Chengyuan Lu","doi":"10.1515/rams-2024-0038","DOIUrl":"https://doi.org/10.1515/rams-2024-0038","url":null,"abstract":"In place of Portland cement concrete, alkali-activated materials (AAMs) are becoming more popular because of their widespread use and low environmental effects. Unfortunately, reliable property predictions have been impeded by the restrictions of conventional materials science methods and the large compositional variability of AAMs. A support vector machine (SVM), a bagging regressor (BR), and a random forest regressor (RFR) were among the machine learning models developed in this study to assess the compressive strength (CS) of AAMs in an effort to gain an answer to this topic. Improving predictions in this crucial area was the goal of this study, which used a large dataset with 381 points and eight input factors. Also, the relevance of contributing components was assessed using a shapley additive explanations (SHAP) approach. In terms of predicting AAMs CS, RFR outperformed BR and SVM. Compared to the RFR model’s 0.96 <jats:italic>R</jats:italic> <jats:sup>2</jats:sup>, the SVM and BR models’ <jats:italic>R</jats:italic> <jats:sup>2</jats:sup>-values were 0.89 and 0.93, respectively. In addition, the RFR model’s greater accuracy was indicated by an average absolute error value of 4.08 MPa compared to the SVM’s 6.80 MPa and the BR’s 5.83 MPa, which provided further proof of their validity. According to the outcomes of the SHAP research, the two factors that contributed the most beneficially to the strength were aggregate volumetric ratio and reactivity. The factors that contributed the most negatively were specific surface area, silicate modulus, and sodium hydroxide concentration. Using the produced models to find the CS of AAMs for various input parameter values can help cut down on costly and time-consuming laboratory testing. In order to find the best amounts of raw materials for AAMs, academics and industries could find this SHAP study useful.","PeriodicalId":54484,"journal":{"name":"Reviews on Advanced Materials Science","volume":"130 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141552027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling the strength parameters of agro waste-derived geopolymer concrete using advanced machine intelligence techniques","authors":"Ahmed A. Alawi Al-Naghi, Muhammad Nasir Amin, Suleman Ayub Khan, Muhammad Tahir Qadir","doi":"10.1515/rams-2024-0035","DOIUrl":"https://doi.org/10.1515/rams-2024-0035","url":null,"abstract":"The mechanical strength of geopolymer concrete incorporating corncob ash and slag (SCA-GPC) was estimated by means of three distinct AI methods: a support vector machine (SVM), two ensemble methods called bagging regressor (BR), and random forest regressor (RFR). The developed models were validated using statistical tests, absolute error assessment, and the coefficient of determination (<jats:italic>R</jats:italic> <jats:sup>2</jats:sup>). The importance of various modeling factors was determined by means of interaction diagrams. When estimating the flexural strength and compressive strength of SCA-GPC, <jats:italic>R</jats:italic> <jats:sup>2</jats:sup> values of over 0.85 were measured between the actual and predicted findings using both individual and ensemble AI models. Statistical testing and <jats:italic>k</jats:italic>-fold analysis for error evaluation revealed that the RFR model outperformed the SVM and BR models in terms of accuracy. As demonstrated by the interaction graphs, the mechanical characteristics of SCA-GPC were found to be extremely responsive to the mix proportions of ground granulated blast furnace slag, fine aggregate, and corncob ash. This was the case for all three components. This study demonstrated that highly precise estimations of mechanical properties for SCA-GPC can be made using ensemble AI techniques. Improvements in geopolymer concrete performance can be achieved by the implementation of such practices.","PeriodicalId":54484,"journal":{"name":"Reviews on Advanced Materials Science","volume":"58 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141507009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Compressive and tensile strength estimation of sustainable geopolymer concrete using contemporary boosting ensemble techniques","authors":"Ji Zhou, Qiong Tian, Ayaz Ahmad, Jiandong Huang","doi":"10.1515/rams-2024-0014","DOIUrl":"https://doi.org/10.1515/rams-2024-0014","url":null,"abstract":"Geopolymer concrete (GPC) serves as an environmentally conscious alternative to traditional concrete, offering a sustainable solution for construction needs. The ability to make on-site changes is dependent on the concrete’s strength after casting, which must be higher than the target value. To anticipate the concrete’s strength before it is poured is, thus, quite helpful. Three ensemble machine learning (ML) approaches, including gradient boosting, AdaBoost regressor, and extreme gradient boosting, are presented in this work as potential methods for forecasting GPC’s mechanical strength that incorporates corncob ash. To determine which modeling parameters are crucial, sensitivity analysis was employed. When the compressive strength and split-tensile strength of GPC were tested with ensemble ML models, <jats:italic>R</jats:italic> <jats:sup>2</jats:sup> values of more than 90% were discovered between the predicted and actual results. Statistics and a <jats:italic>k</jats:italic>-fold analysis based on the error and coefficient of determination were used to verify the developed models. Slag amount, curing age, and fine aggregate quantity were the three mix proportions that had the most impact on GPC’s mechanical strength, as shown in the sensitivity analysis. The results of this study demonstrated that ensemble boosting approaches could reliably estimate GPC mechanical strength. Incorporating such procedures into GPC quality control can yield significant improvements.","PeriodicalId":54484,"journal":{"name":"Reviews on Advanced Materials Science","volume":"42 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141197864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}