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4th International Conference on Sustainable Development in civil, Urban and Transportation engineering, CUTE 2024

作者： Mrosek, Benedykt Moj, Mateusz Czarnecki, Slawomir Department of Materials Engineering and Construction Processes Faculty of Civil Engineering Wroclaw University of Science and Technology Wybrzeze Wyspianskiego 27 Wroclaw50-370 Poland

ISBN: (纸本)9789819793990

In the context of reducing the carbon footprint, there is a noticeable trend in incorporating additives into cement mortars. An increasing number of payment cards in circulation has been noticed. After a period of 4 years after production, it is a waste that has no use. The research focuses on the impact of addition of dispersed fibers from payment cards on the mechanical properties of cement mortar. Destructive bending and compressive strength tests were carried out. Based on the results, it was concluded that the use of fibers from payment cards in cement mortar in appropriate proportions improves its compressive and bending strength. For the addition of 2.5% fiber relative to the weight of the aggregate, the compressive strength of the cement mortar increased by 2.6% and the tensile strength by 7%. The authors see potential for expanding and continuing research on this composite. In sustainable development, it is important to find uses for waste materials. The use of payment cards in concrete and mortar needs to be looked at more closely. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Mortar

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The Impact of Education on Fatigue among construction Workers: A Longitudinal Study

The Impact of Education on Fatigue among Construction Worker...

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construction Research Congress 2024, CRC 2024

作者： Namian, Mostafa Godwin, Daniel Tafazzoli, Mohammadsoroush Jalil Al-Bayati, Ahmed Dept. of Construction Management College of Engineering and Technology East Carolina Univ United States Dept. of Civil Engineering and Construction College of Engineering and Computing Georgia Southern Univ United States Dept. of Civil and Architectural Engineering Lawrence Technological Univ United States

ISBN: (数字)9780784485293

ISBN: (纸本)9780784485293

Fatigue is a significant safety concern in the construction industry and can lead to fatal accidents if not properly addressed. This article examines the impact of education on the level of fatigue in the construction industry through a longitudinal study. The study utilized a literature review and survey data collected over a five-week period to explore the relationship between education level and occupational fatigue in the construction industry. Overall, 80 construction workers participated in this study. Workers' fatigue level was measured using a subjective scale called OFER (Occupational Fatigue Exhaustion/Recovery) scale. The findings highlight that higher education levels are associated with lowered fatigue levels. Further analysis revealed that education has both direct and indirect impacts on fatigue levels among workers. Directly, education empowers individuals with knowledge, skills, and critical thinking abilities, enabling them to enhance their understanding of safety practices, risk assessment, and hazard mitigation. Indirectly, education provides better job opportunities with less demanding tasks, such as office-based work. The practical implications of the findings suggest the importance of personalized safety training programs tailored to individuals' educational backgrounds and job positions in the construction industry to effectively address fatigue, enhance safety practices, and mitigate the risk of accidents. © CRC 2024. All rights reserved.

关键词： construction industry

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Machine learning-based assessment of seismic performance in fiber-reinforced polymer (FRP) retrofitted bridges

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Asian Journal of civil engineering 2025年第3期26卷 975-987页

作者： Abuassi, Mu’taz Bisharah, Majdi Bachelor of Science in Engineering College of Engineering MISR University for Science and Technology Giza Egypt Construction Engineering H.Abu Assi Engineering Consulting Office Traverse City United States Department of Civil Engineering University Putra Malaysia Selangor Malaysia

It proposes machine learning for the seismic performance estimation of FRP-retrofitted bridges using a Mayfly Optimization Algorithm (MOA) optimized Convolutional Neural Networks (CNN). A very impressive CNN model was proposed with an R² score of nearly 0.92 for Damage Index and 0.88 for Repair Costs by achieving RMSE values very low as 0.05 and 158.11, respectively. For the classification tasks, the model obtained an overall accuracy of 91% in predicting Failure Mode with a precision of 0.89, recall 0.87, and F1-score of 0.88. The most relevant factors for the prediction of the Damage Index, as determined from the feature importance analysis using SHAP, were PGA, Bridge Type, and FRP Layer Count. Pier Height and Span Length were critical features in determining which type of failure mode exists, such as Column Shear Failure. Model discriminative explainability techniques with LIME ratified such predictions' accuracy by improving the practicality of the model's handling in real engineering scenario applications. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Fiber-reinforced polymer (FRP) Machine learning Optimization Seismic performance Structural engineering

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Stability Study on the Bucket Foundation with Multi-Compartment During the Floating-up Process Considering Air Compressibility

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China Ocean engineering 2023年第6期37卷 975-988页

作者： YE Fang-di LIAN Ji-jian GUO Yao-hua WANG Hai-jun XIAO Tian-run XIONG Dong-zhi YU Tong-shun State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation Tianjin UniversityTianjin 300072China School of Civil Engineering Tianjin UniversityTianjin 300072China Tianjin University of Technology Tianjin 300384China College of Engineering Ocean University of ChinaQingdao 266100China

In the process of developing offshore wind power towards deeper waters,the advantages of the bucket foundation in terms of integrated construction and economy are becoming increasingly *** contrast to conventional floating bodies,the air-floating bucket foundations can achieve self-floating with the help of the air in the compartment and adjust its buoyancy and stability by controlling the air volume in the *** construction process of the bucket foundation involves the control of air in the compartment,thus making it more difficult to *** after the prefabrication of the bucket foundation,the stability of the bucket foundation at the floating-up stage is particularly *** stability of a multi-compartment bucket foundation during the floating-up process cannot be accurately evaluated as the existing theoretical method of air-floating structures does not adequately consider air *** ensure the safety of the floating-up process,a theoretical method based on the idea of intact stability has been developed to analyze the stability of the air-floating bucket foundations,which will allow accurate calculation of the righting arm for different tilt states and critical air leakage *** the same time,accuracy and feasibility of the proposed theoretical method are verified through indoor model tests and practical operation of the prototype structure during the floating-up *** addition,measures to enhance the stability of the bucket foundation are proposed through sensitivity analysis of influencing factors.

关键词： offshore wind power bucket foundation air-floating structure stability

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A Machine Learning Model for Predicting the Shear Strength of Slender FRP-Reinforced Concrete Elements

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Journal of engineering Science and technology Review 2025年第1期18卷 48-56页

作者： Salem, Nermin M. Kontoni, Denise-Penelope N. Deifalla, Ahmed Farouk Ambrosios-AntoniosSavvides Department of Electrical Engineering Faculty of Engineering and Technology Future University in Egypt New Cairo11835 Egypt Department of Civil Engineering School of Engineering University of the Peloponnese PatrasGR-26334 Greece School of Science and Technology Hellenic Open University PatrasGR-26335 Greece Department of Structural Engineering and Construction Management Faculty of Engineering and Technology Future University in Egypt New Cairo11835 Egypt School of Civil Engineering National Technical University of Athens Zografou Campus AthensGR-15773 Greece Laboratory of Applied Mechanics Department of Naval Science Hellenic Naval Academy Piraeus185 39 Greece

One-way shear failure of Fiber-Reinforced Polymer-reinforced concrete (FRP-RC) elements occurs with no adequate warning as well as it happens in a complicated and devastating manner. Recent research efforts have yielded several pioneering works in this area;however, there is a lack of agreement on the physical understanding of the behavior continues to be an issue. Thus, in the current study, a Machine Learning shear strength model is developed for FRP-RC elements. A boosted regression model is developed and trained using an experimental database composed of 420 records. The boosted model has proved a better prediction accuracy using statistical measures, the model reported a variation coefficient (R!) = 0.91, root mean square error (RMSE) = 13175 and mean absolute error (MAE) = 8.8684. Also, a study of the importance of the input parameters has been presented. The proposed model captured the depth effect, the wide beam effect, and the dowel action. © (2025), (International Hellenic University School of Science and technology). All rights reserved.

关键词： Mean square error

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A Fuzzy Logic Approach on Pedestrian Crossing Behaviour at Unsignalized Intersection 14th

A Fuzzy Logic Approach on Pedestrian Crossing Behaviour at U...

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14th Conference on Transportation Planning and Implementation Methodologies for Developing Countries, TPMDC 2022

作者： Manoj, M. Das, Vivek R. Kumar, Nitin Department of Construction Technology & Highway Technology Dayananda Sagar College of Engineering Karnataka Bengaluru560078 India Department of Civil Engineering Ramaiah Institute of Technology Karnataka Bengaluru560054 India Department of Civil Engineering Dayananda Sagar College of Engineering Karnataka Bengaluru560078 India

ISBN: (纸本)9789819960897

The pedestrian behaviours on roads affect their safety to a greater extent. Of many behaviours exhibited by pedestrians, crossing speeds, gender and gaps accepted and rejected to cross the road are of major concern. In this paper, the study is made on behaviour of pedestrians at unsignalized T intersection at Channasandra within the capital city of Karnataka, Bengaluru by generating a fuzzy model. The data were collected at the study location using a videographic survey for a duration of one hour during the peak hours and the above-mentioned behaviours were extracted and subjected to analysis. For modelling, gaps accepted and crossing speeds of pedestrians were given as inputs in MATLAB’s fuzzy logic toolbox by framing a set of rules, and after defuzzification the choice of pedestrians to cross the road will be obtained from the model. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Fuzzy logic

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Multi-domain equivalent method for prediction of elastic modulus of complex fractured rock mass

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Journal of Mountain Science 2023年第3期20卷 859-872页

作者： JIAO Feng-yu WANG Hui-dong LI Tuo CHEN Yun MA Guo-wei School of Civil and Transportation Engineering Hebei University of TechnologyTianjin 300401China Tianjin Key Laboratory of Prefabricated Building and Intelligent Construction Hebei University of TechnologyTianjin 300401China

Reliable estimation of deformation and failure behaviors of fractured rock mass is important for practical engineering *** study proposes a multi-domain equivalent method for fracture network to estimate the deformation properties of complex fractured rock *** comprehends both the advantages of the discrete fracture network model and the equivalent continuum model to capture the features of discontinuities explicitly while reducing computational *** complex fracture network is stochastically split into a number of subfracture networks according to the domain,length or *** analytical solution is derived to infer theoretically the relationship between the elastic moduli of the original complex fractured rock mass and the split subfractured rock masses by introducing a correction term based on the deformation superposition *** simulations are conducted to determine the elastic moduli of split subfractured rock masses using universal distinct element code(UDEC),while the elastic modulus of the original model is estimated based on the currently proposed analytical *** results show that the estimation accuracy with the current domainbased splitting model is far superior compared to those with the other two splitting ***,the estimation method of elastic modulus of complex fractured rock mass based on domain splitting mode of fracture network is identified as the multi-domain equivalent method proposed in this *** reliability of this method is evaluated,and its high computational efficiency is demonstrated through exemplification with regard to different geometric configurations for stochastically artificial discrete fracture *** proposed multi-domain equivalent method constructs the theoretical framework except for the regression analysis hypothesis compared to the density-reduced model equivalent method.

关键词： Fractured rock masses Discrete fracture network Rock mass deformability Multi-domain equivalent method

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Properties of Sustainable Alkali-Activated Permeable Concretes Developed Using Agro-Industrial By-Products 4th

Properties of Sustainable Alkali-Activated Permeable Concret...

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4th International Conference on Sustainable Development in civil, Urban and Transportation engineering, CUTE 2024

作者： Marathe, Shriram Department of Materials Engineering and Construction Processes Faculty of Civil Engineering Wroclaw University of Science and Technology: Politechnika Wroclawska 27 Wroclaw50-370 Poland

ISBN: (纸本)9789819793990

The challenges of urban surface runoff and heat island effects, which arise from infrastructural development, can be effectively mitigated using macro-porous permeable concretes. By integrating the advantageous properties of alkali-activated materials, these permeable composites may attain exceptional effectiveness and environmental friendliness. This experimental research presents the development of permeable concrete composites with the use of industrial by-products, including ground granulated blast furnace slag (GGBS) and waste foundry sand (WFS), as well as agro-waste product, i.e., sugarcane bagasse ash (SBA). Alkaline activator solutions were prepared by combining the calculated amount of liquid sodium silicate with sodium hydroxide flakes. GGBS and SBA served as binders, with crushed granite as coarse aggregate and WFS as fine aggregate. The main objective of this investigation is to examine the influence of SBA, in combination with slag, on the fresh and hardened properties of alkali-activated permeable concretes. Experiments were conducted to optimize the SBA percentage based on hydraulic conductivity (i.e., permeability) and compressive strength after 28 days of air-curing. The control and optimal mixes were subjected to extended evaluations to determine tensile strength after 28 days of air-curing. The mix containing 100% GGBS and 0% SBA served as the reference mix, with the optimal 10% SBA mix used for comparative analysis to understand its consequence on the properties of permeable concretes. Results indicated acceptable mechanical performance at a mix ratio of 10% SBA to 90% GGBS as binders. This study aims to enhance understanding of the engineering behavior of alkali-activated permeable concretes, facilitating the rational design of a type of sustainable permeable concrete pavement systems through the effective use of agro-industrial waste products. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Slags

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Exploring Causes of Delays in National Road and Highway Projects in Developing construction Economy

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Journal of engineering, Project, and Production Management 2022年第2期12卷 137-148页

作者： Karimi, Sebghatullah Piroozfar, Poorang Civil Engineering Faculty of Construction Kabul Polytechnic University Kabul Afghanistan Architectural Technology and Digital Construction Digital Construction Lab. School of Architecture Technology and Engineering University of Brighton Brighton United Kingdom

Delay in construction projects, especially in road and highway projects, is a universal phenomenon. Afghanistan construction industry is no exception. There are factors causing delays in the Afghanistan construction industry which have negative effects on the key project stakeholders and the project’s deliverables and outcomes. This research aims to identify the causes of delays that affect highway and road projects in Afghanistan and to provide recommendations in order to minimize or control delays in such projects. This will help, in return, facilitate and improve the delivery of roads and highways projects in Afghanistan. To achieve this aim, the study sets out to achieve the following objectives: 1) to determine the most important causes of delay that affect road and highway projects in Afghanistan, 2) to identify the severity of the delay causes from clients’ and contractors’ perspectives, 3) to investigate the differences and discrepancies between clients’ and contractors’ opinions and views, and based on first three objectives, 4) to finally provide recommendations for minimizing and/or controlling delays in road and highway projects, to improve the status-quo and to facilitate procurement/delivery of road and highway projects in Afghanistan. Causes of delay were gathered upon conducting a critical literature review of different types of construction, in different countries. An expert interview and a questionnaire survey formed the basis of this paper, listing 29 important causes of delay in such projects. The major causes of delay then were categorized into three groups following main stages of the highway projects, namely: 1) preparation, 2) procurement, and 3) implementation. The questionnaire survey was distributed to 100 construction participants and 79 were received who represent the government in road projects and contractors. Relative importance index (RII) was calculated and according to the highest values the top ten delay causes of road projects in

关键词： Developing countries

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Identification of system parameters of a large-scale dynamic multiaxial testing facility

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Earthquake engineering and Structural Dynamics 2024年第8期53卷 2468-2490页

作者： Lin, Wang-Chuen Yu, Chung-Han Lin, Chin-Cheng Lai, Yi-An Liu, Chiung-Lin Hsiung, Sih-Min Peng, Shen-Kai Wang, Shiang-Jung Structural Monitoring and Control Division National Center for Research on Earthquake Engineering Taipei Taiwan Tainan Experimental Technology Division National Center for Research on Earthquake Engineering Taipei Taiwan Department of Civil and Construction Engineering National Taiwan University of Science and Technology Taipei Taiwan

Large-scale multiaxial testing facilities mainly serve to experimentally examine the horizontal behavior of full-scale critical structural members, such as columns and seismic isolation bearings, on which a large vertical compression load is exerted as they simultaneously undergo horizontal deformation. The system friction and inertia force play an important role in obtaining sufficiently reliable test results, and it is not easy to comprehensively grasp all the issues involved. To understand the system friction and inertia force of the Bi-Axial Dynamic Testing System (BATS) at the National Center for Research on Earthquake engineering Tainan laboratory and to avoid complexity caused by specimens as much as possible, a lubricated flat sliding bearing is chosen as the specimen to be tested under horizontal triangular and sinusoidal reversed loading together with a constant vertical compression load. When no specimens are installed, that is, without vertical compression loading, the system friction of BATS generated by the various sliding surfaces can be identified and mathematically characterized using the horizontal triangular reversed loading test results;then, the effective mass of BATS can be estimated using the horizontal sinusoidal reversal loading test results to solve the inertia force problem. When applying a vertical compression load, it is assumed that the system friction of BATS and the shear force of the specimen are simply related to the applied total normal force (or vertical compression load) and horizontal excitation rate. An iteration methodology is proposed to identify and mathematically describe the dependency of the friction performance of BATS and the specimen on total normal forces (or vertical compression loads) and horizontal excitation rates by iterating the horizontal triangular and sinusoidal reversed loading test results. Finally, a lead-rubber bearing and a direct force measurement system are connected in series such that the measurement

关键词： Friction

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