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Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete

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Frontiers of Structural and Civil Engineering 2023年第2期17卷 284-305页

作者： Hai-Van Thi MAI May Huu NGUYEN Son Hoang TRINH Hai-Bang LY Civil Engineering Department University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

Fiber-reinforced self-compacting concrete(FRSCC)is a typical construction material,and its compressive strength(CS)is a critical mechanical property that must be adequately *** the machine learning(ML)approach to estimating the CS of FRSCC,the current research gaps include the limitations of samples in databases,the applicability constraints of models owing to limited mixture components,and the possibility of applying recently proposed *** study developed different ML models for predicting the CS of FRSCC to address these *** neural network,random forest,and categorical gradient boosting(CatBoost)models were optimized to derive the best predictive model with the aid of a 10-fold cross-validation technique.A database of 381 samples was created,representing the most significant FRSCC dataset compared with previous studies,and it was used for model *** findings indicated that CatBoost outperformed the other two models with excellent predictive abilities(root mean square error of 2.639 MPa,mean absolute error of 1.669 MPa,and coefficient of determination of 0.986 for the test dataset).Finally,a sensitivity analysis using a partial dependence plot was conducted to obtain a thorough understanding of the effect of each input variable on the predicted CS of *** results showed that the cement content,testing age,and superplasticizer content are the most critical factors affecting the CS.

关键词： compressive strength self-compacting concrete artificial neural network decision tree CatBoost

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Long-term performance: strength and metal encapsulation in alkali-activated iron ore tailings

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environmental science and Pollution Research 2024年第34期31卷 47071-47083页

作者： Levandoski, William Mateus Kubiaki Ferrazzo, Suéllen Tonatto Piovesan, Maria Alice Bruschi, Giovani Jordi Consoli, Nilo Cesar Korf, Eduardo Pavan Graduate Program in Environmental Science and Technology Universidade Federal da Fronteira Sul RS Erechim99700-970 Brazil Graduate Program in Civil Engineering Universidade Federal Do Rio Grande Do Sul RS Porto Alegre90035-190 Brazil Undergraduate Program in Environmental and Sanitary Engineering Universidade Federal da Fronteira Sul RS Erechim99700-970 Brazil

Understanding the strength behavior and leaching characteristics of mining tailings stabilized with alkali-activated cements in the short, medium, and long term is crucial for the feasibility of material applications. In this context, this study assessed the stabilization/solidification of iron ore tailings (IOT) using alkali-activated binder (AAB) composed of sugarcane bagasse ash and eggshell lime at curing times of 7, 28, 60, 90, 180, and 365 days. Additionally, leaching tests were conducted, along with the examination of possible changes in the chemical and mineralogical composition resulting from exposure to acidic environments. Tests included unconfined compression strength (UCS), leaching, X-ray diffraction, and Fourier-transform infrared spectroscopy for the IOT-AAB mixtures. The highest increase in UCS was observed between 7 and 60 days, reaching 6.47 MPa, with minimal variation thereafter. The AAB-bonded IOT exhibited no metal toxicity over time. Elements Ba, Mn, Pb, and Zn present in IOT and ash were encapsulated in the cemented matrix, with complete encapsulation of all metals observed from 90 days of curing time. The mineralogy of the stabilized/solidified tailings showed no changes resulting from leaching tests. Characteristic bands associated with the presence of N-A-S–H gel were identified in both pre-leaching and post-leaching samples for all curing times analyzed. Exposure to acidic environments altered bands related to carbonate bonds formed in the IOT-AAB mixture. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Lime

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Low-Temperature Methanolysis of Polycarbonate over Solid Base Sodium Aluminate

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Langmuir 2024年第10期40卷 5338-5347页

作者： Krisbiantoro, Philip Anggo Sato, Miyu Lin, Tzu-Ming Chang, Yu-Chia Peng, Tzu-Yun Wu, Yun-Chih Liao, Weisheng Kamiya, Yuichi Otomo, Ryoichi Wu, Kevin C.-W. Molecular Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei11529 Taiwan International Graduate Program of Molecular Science and Technology National Taiwan University Taipei10617 Taiwan Department of Chemical Engineering College of Engineering National Taiwan University Taipei10617 Taiwan Graduate School of Environmental Science Hokkaido University Nishi 5 Kita 10 Sapporo060-0810 Japan Faculty of Environmental Earth Science Hokkaido University Nishi 5 Kita 10 Sapporo060-0810 Japan Center of Atomic Initiative for New Materials National Taiwan University Taipei10617 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan320 Taiwan

Herein, a low-cost and readily available sodium aluminate (NaAlO2) was used as a solid base catalyst for the depolymerization of polycarbonate (PC) via methanolysis in the presence of tetrahydrofuran (THF) as a solvent. NaAlO2 was highly active for the reaction, and the performance was comparable to that of soluble strong base SrO and much higher than those of MgO and CaO. By the reaction over the catalyst, a highly pure and crystalline bisphenol A (BPA) was obtained. Among tested organic solvents, THF was the best in aiding PC methanolysis over NaAlO2 due to the polarity similar to PC according to Hansen solubility parameters (HSPs). At 60 °C, 98.1% PC conversion and 96.8% BPA yield were achieved within just 2 h. NaAlO2 was reusable without any severe catalyst deactivation in at least four runs. The mechanistic study revealed that the reaction proceeded via the methoxide pathway, with THF aiding the dissolution of PC. The reaction over NaAlO2 possessed a low apparent activation energy (Ea) of 75.1 kJ mol-1, which is the lowest ever reported so far for the reaction over solid catalysts. © 2024 The Authors. Published by American Chemical Society.

关键词： Sodium Aluminate

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Application of machine learning technique for predicting and evaluating chloride ingress in concrete

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Frontiers of Structural and Civil Engineering 2022年第9期16卷 1153-1169页

作者： Van Quan TRAN Van Loi GIAP Dinh Phien VU Riya Catherine GEORGE Lanh Si HO Department of Civil Engineering University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

The degradation of concrete structure in the marine environment is often related to chloride-induced corrosion of reinforcement ***,the chloride concentration in concrete is a vital parameter for estimating the corrosion level of reinforcement *** research aims at predicting the chloride content in concrete using three hybrid models of gradient boosting(GB),artificial neural network(ANN),and random forest(RF)in combination with particle swarm optimization(PSO).The input variables for modeling include exposure condition,water/binder ratio(W/B),cement content,silica fume,time exposure,and depth of *** results indicate that three models performed well with high accuracy of prediction(R2⩾0.90).Among three hybrid models,the model using GB_PSO achieved the highest prediction accuracy(R2=0.9551,RMSE=0.0327,and MAE=0.0181).Based on the results of sensitivity analysis using SHapley Additive exPlanation(SHAP)and partial dependence plots 1D(PDP-1D),it was found that the exposure condition and depth of measurement were the two most vital variables affecting the prediction of chloride *** the number of different exposure conditions is larger than two,the exposure significantly impacted the chloride content of concrete because the chloride ion ingress is affected by both chemical and physical *** study provides an insight into the evaluation and prediction of the chloride content of concrete in the marine environment.

关键词： gradient boosting random forest chloride content concrete sensitivity analysis

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A hybrid machine learning model to estimate self-compacting concrete compressive strength

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Frontiers of Structural and Civil Engineering 2022年第8期16卷 990-1002页

作者： Hai-Bang LY Thuy-Anh NGUYEN Binh Thai PHAM May Huu NGUYEN Civil Engineering Department University of Transport TechnologyHanoi 100000Vietnam Civil and Environmental Engineering Program Graduate School of Advanced Science and EngineeringHiroshima UniversityHiroshima 739-8527Japan

This study examined the feasibility of using the grey wolf optimizer(GWO)and artificial neural network(ANN)to predict the compressive strength(CS)of self-compacting concrete(SCC).The ANN-GWO model was created using 115 samples from different sources,taking into account nine key SCC *** validation of the proposed model was evaluated via six indices,including correlation coefficient(R),mean squared error,mean absolute error(MAE),IA,Slope,and mean absolute percentage *** addition,the importance of the parameters affecting the CS of SCC was investigated utilizing partial dependence *** results proved that the proposed ANN-GWO algorithm is a reliable predictor for SCC’s *** that,an examination of the parameters impacting the CS of SCC was provided.

关键词： artificial neural network grey wolf optimize algorithm compressive strength self-compacting concrete

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Immobilised bacterial cells in decolourisation of azo dyes: a bibliometric analysis

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environmental technology Reviews 2024年第1期13卷 344-358页

作者： Müller, A.P. Vaz, S.B. Benitez, L.B. Post Graduate Program in Environmental Technology University of Santa Cruz do Sul Rio Grande do Sul Brazil

Bioremediation is traditionally performed using free bacterial cells;however, immobilised bacterial cells have gained attention recently as a promising technique due to the numerous benefits presented. Removing dyes by biological processes is gaining apparent interest because it is profitable and environmentally friendly. Azo dyes, released into the environment, have dangerous effects on aquatic and human life, and their persistence and discharge into the environment are becoming a global concern. Considering the importance of the aspects involved in the bioremediation of azo dyes by immobilised microbial cells and the growing number of publications on the subject, this review aimed to survey state-of-the-art and make a bibliometric mapping of these studies in the period from 2013 to 2023. The analysis of articles was selected from the science Direct database. The bibliometric mapping provided relevant data to understand the evolution of research in the area and the main bottlenecks that must be overcome for future advances to be achieved. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Azo dyes

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Flow through side-combined structure in a channel bend under subcritical flow regime

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ISH Journal of Hydraulic Engineering 2022年第2期28卷 203-211页

作者： Ghodsian, Masoud Feyzollahi, Farshid Ghodsian, Mohammad Faculty of Civil and Environmental Engineering and Water Engineering Research Institute Tarbiat Modares University Tehran Iran Ex. Post Graduate Student Department of Civil and Environmental Engineering Tarbiat Modares University Tehran Iran Ex. Post Graduate Student School of Management Economics and Progress Engineering Iran University of Science and Technology Tehran Iran

In this paper, the effects of the nondimensional parameters influencing the discharge coefficient of a side-combined structure located in a channel bend were studied using 288 experimental data. Experiments were conducted in a rectangular recirculating U-shaped channel (0.6 m width and 0.7 m height) for different discharges and depths of flow in the channel. The effects of approach Froude number Fr, the ratio of the gate height to gate opening d/a, the ratio of the approach flow depth to gate opening h 1/a, and angle of the bend curvature α on the discharge coefficient under subcritical flow conditions are investigated. It was found that the flow diversion by a side-combined structure leads to a reverse flow, two separation zones, and a stagnation zone in the main channel. The specific energy remains constant along with the side-combined structure. It was found that the discharge coefficient is a decreasing function of Fr and d/a. Moreover, the discharge coefficient increases by increasing h 1/a. By changing the location of the side-combined structure along the channel bend, the discharge coefficient reduces from upstream, reach to a minimum value at α= 90ᵒ, and increase further downstream. The discharge coefficient of a side-combined structure is maximums when it is located at section 115° of the bend. New equations for the discharge coefficient of a side-combined structure under subcritical flow conditions were obtained. © 2020 Indian Society for Hydraulics.

关键词： Hydraulics

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The technological potential of agro-industrial residue from grape pulping(Vitis spp.)for application in meat products:A review

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Food Bioscience 2022年第5期49卷 40-49页

作者： Marcelo Edvan dos Santos Silva Cristiani Viegas Brandao Grisi Suzana Pedroza da Silva Marta Suely Madruga Fabio Anderson Pereira da Silva Post-Graduate Program in Food Science and Technology Department of Food EngineeringTechnology CentreFederal University of ParaibaJoao PessoaParaiba58051-900Brazil Post-Graduate Program in Agrifood Technology Federal University of ParaibaCampus Universitario IIIBananeirasPBBrazil Federal University of Pernambuco’s Agreste Av.Bom PastorBoa Vista55296-901GaranhunsPEBrazil

This review aimed to investigate the technological potential of grape pomace for application in the meat industry,approaching the compounds of interest and presenting the challenges of its application in meat *** pomace contains bioactive and nutritional compounds with beneficial properties for maintaining the physical-chemical,sensory,and nutritional quality of meat and its *** studies have reported the presence of fiber,amino acids,essential fatty acids and minerals capable of increasing the nutritional value of meat products and promoting a nutrient supply when associated with animal ***,the bioactive composition of grape pomace has anthocyanins,flavanols and phenolic acids capable of increasing the shelf life of meat products,inhibiting microbial development,and delaying the oxidative processes responsible for the deterioration of sensory and nutritional *** use of nano and microencapsulation technologies and the use of active packaging as carriers of grape pomace extracts enhance their application in meat and meat *** technologies,applied individually or together,promote the controlled release of bioactive compounds during the storage and mask undesirable flavors promoted by phenolic *** addition to the technological potential,the use of grape pomace by the meat industry meets the current demand for the use of natural additives and is in accordance with the sustainable development objectives established by the United Nations Organization,reducing environmental impacts and allowing the obtaining molecules with high added value from industrial waste.

关键词： Natural antioxidant Grape bagasse Meat products Bioactive compounds Oxidation Waste reuse

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Deep Neural Network Based Inductance Calculations of Wireless Power Transfer Systems 11

Deep Neural Network Based Inductance Calculations of Wireles...

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11th IEEE Global Conference on Consumer Electronics, GCCE 2022

作者： Sato, Kai Kanamoto, Toshiki Kudo, Ryotaro Hachiya, Koutaro Kurokawa, Atsushi Hirosaki University Graduate School of Science and Technology Aomori Japan Teikyo Heisei University Graduate Program in Environmental Information Science Tokyo Japan

ISBN: (纸本)9781665492324

This paper proposes a new method for obtaining self and mutual inductances in wireless power transfer (WPT) systems using a deep neural network (DNN). In this paper, five structural parameters of a WPT system were experimentally used as inputs. The experimental results demonstrate that inductances obtained by the proposed method are within 10% in the maximum errors and about 1% in the mean absolute errors. The proposed method is about 682k times faster than the field solver in the CPU time required to obtain the inductances of one structure. © 2022 IEEE.

关键词： Deep neural networks

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A Parabolic Spiral Coil Transmitter for Charging Multiple Receivers 11

A Parabolic Spiral Coil Transmitter for Charging Multiple Re...

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11th IEEE Global Conference on Consumer Electronics, GCCE 2022

作者： Kudo, Ryotaro Hachiya, Koutaro Kanamoto, Toshiki Kurokawa, Atsushi Hirosaki University Graduate School of Science and Technology Aomori Japan Teikyo Heisei University Graduate Program in Environmental Information Science Tokyo Japan

ISBN: (纸本)9781665492324

Magnetic coupled wireless power transfer systems have been incorporated in various devices including smartphones, and are becoming important to charge multiple devices at the same time. In this paper, we propose a new circular transmitter that can efficiently charge multiple receivers. The transmitter coil consists of a parabolic spiral that is sparse on the inside and tight on the outside from the beginning. The analysis result shows that when the five receivers are charged, they can be charged almost evenly and the total efficiency is 79.2%. © 2022 IEEE.

关键词： Energy transfer

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