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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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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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A Review on Landfill Management in the Utilization of Plastic Waste as an Alternative Fuel 2

A Review on Landfill Management in the Utilization of Plasti...

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2nd International Conference on Energy, environmental and Information System, ICENIS 2017

作者： Hidayah, Nurul Syafrudin Master Program of Environmental Science School of Post Graduate Studies Diponegoro University Indonesia Environmental Engineering Dept Faculty of Engineering Diponegoro University Indonesia

Wastes from landfills originate from many spheres of life. These are produces as a result of human activities either domestically or industrially. The global plastic production increased over years due to the vast applications of plastics in many sectors. The continuous demand of plastics caused the plastic wastes accumulation in the landfill consumed a lot of spaces that contributed to the environmental. In addition, economic growth and development also increased our demand and dependency on plastics which leads to its accumulation in landfills imposing risk on human health, animals and cause environmental pollution problems such as ground water contamination, sanitary related issues, etc. The management and disposal of plastic waste have become a major concern, especially in developing cities. The idea of waste to energy recovery is one of the promising techniques used for managing the waste of plastic. Hence, this paper aims review at utilizing of plastic as an alternative fuel. © 2018 The Authors, published by EDP sciences.

关键词： Groundwater

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Transmission of real-time video signal with interference density and human traffic

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Telkomnika (Telecommunication Computing Electronics and Control) 2015年第4期13卷 1352-1360页

作者： Bahaweres, Rizal Broer Karya, Oki Teguh Alaydrus, Mudrik Post-Graduate Program of Electrical Engineering Departement Mercu Buana University Indonesia KompasTV Indonesia Faculty of Science and Technology State Islamic University Syarif Hidayatullah Jakarta Indonesia

The use of mobile phone as a communication tool rapidly increases, as well as various types of functions therein. Among of the many applications on the mobile phone, which are used skype androidbased for teleconferencing via mobile phone. Things can not be separated from these applications is the need of qualified internet network access for these applications can be felt up function. One of the network access to the Internet is widely used today's society is a wi-fi network. Access to the Internet does not always provide the best performance, this is due to many factors, one of which is the presence of interference. In this study, we tested transmission of video signals in real-time using an application skype on the mobile phone. Skype run on wi-fi network, which is influenced by the presence of interference or objects such as human traffic in the network. Wireshark were used to obtain data reliability wi-fi network, known as QoS. While evalvid used to obtain the data QoE restricted only get the data PSNR (Peak Signal To Noise Ratio) and MSE (Mean Square Error). © 2015 Universitas Ahmad Dahlan.

关键词： Wi-Fi

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Carbon dioxide, global boiling, and climate carnage, from generation to assimilation, photocatalytic conversion to renewable fuels, and mechanism

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science of the Total Environment 2025年 965卷 178629页

作者： Khan, Muhammad Sun, Xiaohui Zada, Amir Azizi, Shohreh Shah, Muhammad Ishaq Ali Khan, Javed Ali Ragab, Ahmed H. Taher, Mostafa A. Abbas, Qumber Han, Changseok College of Civil and Transportation Engineering Shenzhen University 3688 Nanhai Avenue Guangdong Province Shenzhen518060 China Department of Chemistry Abdul Wali Khan University Mardan Mardan23200 Pakistan UNESCO-UNISA Africa Chair in Nanosciences and Nanotechnology College of Graduate Studies University of South Africa Muckleneuk Ridge PO Box 392 Pretoria0002 South Africa Chemistry Department Faculty of Science King Khalid University P.O. Box 9004 Abha61413 Saudi Arabia Biology Department Faculty of Science and Arts King Khalid University Mohail Assir 61321 Saudi Arabia Department of Technologies and Installations for Waste Management Faculty of Energy and Environmental Engineering Silesian University of Technology Gliwice44-100 Poland Program in Environmental and Polymer Engineering of INHA University 100 Inha-ro Michuhol-gu Incheon22212 Korea Republic of Department of Environmental Engineering INHA University 100 Inha-ro Michuhol-gu Incheon22212 Korea Republic of

The increasing CO2 concentration in the atmosphere has substantial impacts on the global temperature. For energy sustainability and minimization of the effects of global warming, an approach to understand CO2 capturing and a carbon neutral culture is extremely essential in the present circumstances. The CO2 emission from vehicles and industries can be minimized using energy cost-effective techniques and can be converted more selectively into reusable fuels via thermochemical, electrochemical, photochemical, photocatalytic, electrocatalytic, biological and inorganic carbonate-based approaches. In this review article, we have discussed the effects of increased global temperature on human beings, economy and climate change. Further, we have discussed the photocatalytic conversion of CO2 (PC-CO2) into gaseous and liquid fuels under solar light driven photocatalysis. The adsorption and activation of CO2, its conversion into various intermediates, their stability and selectivity of the final products have been elaborated comprehensively. The conversion mechanisms of CO2 into CO, CH4, alcohol, aldehyde and carboxylic acid have been discussed in detail. The role of defects and exposed facets of photocatalysts, effect of metal and non-metal dopants, and the additive role of co-catalyst on the mechanisms and selectivity of the conversion products have been discussed comprehensively. Finally, future perspective is discussed to highlight the research gap in the PC-CO2. We hope that this article will help to understand the mechanisms of PC-CO2 and will direct researchers to add their role in the reduction of CO2 to control global warming and make life easier on earth in the coming years. © 2025 Elsevier B.V.

关键词： Kyoto Protocol

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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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Effect of light Intensity and photoperiod on growth of Chlorella pyrenoidosa and CO2 Biofixation 2

Effect of light Intensity and photoperiod on growth of Chlor...

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2nd International Conference on Energy, environmental and Information System, ICENIS 2017

作者： Gunawan, Teuku Johar Ikhwan, Yusni Restuhadi, Fajar Pato, Usman Post Graduate Program of Environmental Science Universitas Riau Pekanbaru Riau Indonesia Faculty of Agriculture Universitas Riau Pekanbaru Riau Indonesia

Microalgae have been viewed as one of potential solution for CO2 biofixation or CO2 sequestration. However, many factors need to be evaluated to support development of CO2 biofixation. One important environmental factor for the growth of micro algae is related with light requirement. The aim of this study was to evaluate the effect of light intensity and photoperiod on growth of Chlorellapyrenoidosa (***) and CO2 biofixation. Experiments were carried out in 1000 mL semi batch photo bioreactors, purged continuously with air (0.034% CO2). An Experiment of Factorial Design was employed in which the light intensity was evaluated 4 level at 2000, 4000, 6000 and 8000 lux with 3 level of photo period at L/D (light/dark) 8 hours/16 hours;L/D 12 hours/12 hours and L/D 16 hours/8 hours. The result indicated that both light intensity and photo period had significant effect (p2biofixation rate of around 2 times was also observed between highest setting (8000 lux;L/D 16/12 hours) relative to that of lowest setting (2000 lux;L/D 8/12 hours). © 2018 The Authors, published by EDP sciences.

关键词： Carbon dioxide

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Application of construction and demolition waste (gypsum and mortar) for the removal of metal ions, Pb 2+ , Cu 2+ , and Ni 2+

Cleaner Chemical Engineering

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Cleaner Chemical Engineering 2025年 11卷

作者： Jefferson Luiz Alves Marinho Francisco Assis Bezerra da Cunha Raimundo Nonato Pereira Teixeira Henrique Douglas Melo Coutinho Jorge Marcell Coelho Menezes Francisco José de Paula Filho Lucia Raquel de Lima Cícera Datiane de Morais Oliveira Tintino Hyan Thompson Oliveira Lopes Paulo Ives Pereira de Alcântara Post-Graduate Program in Biological Chemistry - PPQB at the Regional University of Cariri - URCA Crato Ceará Brazil Science and Technology Center at the Federal University of Cariri - UFCA Juazeiro do Norte Ceará Brazil Pharmacotoxicological Prospection of Bioactive Products Laboratory - UFPE Recife Pernambuco Brazil Analytical and Environmental Chemistry Laboratory - URCA Crato Ceará Brazil

The intensification of human activities, consumption, production, and exploitation of raw materials, coupled with rapid population growth and industrial activity development, has led to significant environmental impacts. As civilization progresses, the level of environmental pollution with toxic metals has also intensified. The ability to quickly detect heavy metal pollution in wastewater and find its source is critical for environmental monitoring and protection. In the search for cheaper and more economical materials to be used as precipitants, civil construction waste has been used for this application. In this context, the present study aimed to evaluate the utilization of construction and demolition waste (gypsum and cementitious mortar) in the retention of Copper, Lead, and Nickel metal ions. The assessment of the removal capacity of these metal ions using gypsum powder and cementitious mortar was conducted through chemical precipitation using batch experiments. The results obtained for Pb 2+ ions showed that increasing the mass of gypsum from 10 to 100 g resulted in precipitation rates ranging from 97.29 to 98.31 %. Gypsum also proved to be a viable alternative for Cu 2+ precipitation with rates of 92.99 to 96.65 %, while the most significant retention rate for Ni 2+ was observed for the mass of 100 g, reaching 94.63 %. In experiments using different types of cementitious mortar (ACI, ACII, ACIII, and common) as precipitants in a solution contaminated with copper at a constant concentration of 600 mg/L, it was found that the precipitation rates were practically the same, with ACIII mortar showing the highest percentage of precipitation. Therefore, the results obtained demonstrated that construction and demolition waste by-products rich in gypsum and cementitious mortar are efficient in removing toxic metals, representing promising alternatives for wastewater decontamination.

关键词： Toxic metals Chemical precipitation Construction and demolition waste Metal removal Geomaterials

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Implications of technological improvement and circular agriculture on environmental sustainability of sugarcane production

Cleaner Environmental Systems

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Cleaner environmental Systems 2025年 18卷

作者： Aakriti Deuja Min Hein Khant Thapat Silalertruksa Shabbir H. Gheewala Trakarn Prapaspongsa Graduate Program in Environmental and Water Resources Engineering Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Nakhon Pathom Thailand Department of Environmental Engineering Faculty of Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand The Joint Graduate School of Energy and Environment King Mongkut's University of Technology Thonburi Bangkok Thailand Centre of Excellence on Energy Technology and Environment Ministry of Higher Education Science Research and Innovation Bangkok Thailand

The spatially differentiated environmental impacts and associated costs of technological improvement and circular agricultural practices in sugarcane production were assessed. Analysis of the cause-effect relationship between the key processes and substances each helped develop alternative scenarios for impact reduction. PM 2.5 emissions contributed to 92 % of the total human health impacts from open burning of field residues. Freshwater ecotoxicity, mainly due to ametryn emissions from pesticide application, contributed to 47 % of the total damage to the ecosystem. The environmental costs were 116 % higher than the value of sugarcane production, signifying the critical importance of adopting alternative pathways that provide economic benefits from environmental cost reduction compared to the production value. Scenarios considering green cane harvesting and waste management approaches demonstrated high potential for total impact reduction of 99 % and 97 %, respectively, and economic gains of 202 and 225 billion THB, respectively (5.76 and 6.42 billion USD, respectively). The economic benefits of waste utilization were 137 % higher than the value of sugarcane production, demonstrating the potential benefits of product substitution to help mitigate impacts. The core findings highlight the significance of the PM 2.5 impact-related external costs and underscore the benefits of adopting green cane harvesting in conjunction with on-field waste utilization to mitigate the impact of open burning and produce value-added products. Technological improvement and circular agricultural practices coupled with valuation of spatially differentiated impacts can provide useful and more accurate information to policymakers, to prioritize the implementation of mitigation strategies for enhancing the environmental sustainability of sugarcane production.

关键词： Life cycle assessment On-site and supply chain emissions Human health Ecosystem environmental cost environmental sustainability

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