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The PSO optimisation SVM prediction model for the asphalt pavement environment and service fatigue life

International Journal of Information and Communication technology 2022年第4期20卷 355-366页

作者： Sun, Yu He, Dongpo Li, Jun Road and Railway Engineering Civil Engineering College Northeast Forestry University No. 26 Wo Hing Road Xiangfang District Heilongjiang Province Harbin City150040 China Department of Municipal and the Environmental Engineering Heilongjiang Institute of Construction Technology College Road Limin Development Zone Harbin150000 China

In order to improve the accuracy of prediction by support vector machine (SVM), parameter optimisation of SVM is an important part of asphalt pavement life prediction. In this paper, a particle swarm optimisation support vector machine (PSO_SVM) method was proposed to predict the fatigue life of SBS modified asphalt mixture. This method combines SVM with particle swarm optimisation (PSO), makes full use of SVM's unique advantages in dealing with small sample regression problems and PSO global search optimisation, improves convergence speed, and achieves depth and breadth optimisation. Experimental results show that this method improves the parameter selection efficiency of SVM, and the prediction results are more accurate than those of ANN and SVM. Copyright © 2022 Inderscience Enterprises Ltd.

关键词： Support vector machines

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Application of Smart construction Site in construction Practice 7th

Application of Smart Construction Site in Construction Pract...

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7th EAI International Conference on Management of Manufacturing Systems, MMS 2022

作者： Smetanková, Jana Krajníková, Katarína Ručinský, Rastislav Mésároš, Peter Behúnová, Annamária National Infrastructure for Technology Transfer Support in Slovakia II – NITT SK II Bratislava Slovakia Technical University of Kosice Faculty of Civil Engineering Expert’s Institute in Construction Kosice Slovakia Technical University of Kosice Faculty of Civil Engineering Institute of Construction Technology Economics and Management Kosice Slovakia Technical University of Kosice Faculty of Mining Ecology Process Control and Geotechnologies Institute of Earth Resources Kosice Slovakia

ISBN: (纸本)9783031227189

Recent studies show that intelligence planning and construction management, so the use of intelligence technologies and tools for interconnection, communication, and real-time interaction, are promising objects of research for many researchers and experts in the field of construction, architecture, and construction. By using intelligent tools, it is possible to contribute to increasing efficiency and effectiveness, high-quality management, and comprehensive health, safety, and environmental management. Based on these facts, the paper analyzes the current state of use of smart construction site tools in the Slovak construction industry. The research analyzed of current state of knowledge and use of smart tools in construction sector industry. The research examined the following aspects in detail: the degree of implementation, the main obstacles and benefits of implementing the principles of smart construction site, degree of use of tools ensuring protection of property, health and safety on site and the rate of use of construction robots and use of applications for the management and application of intelligence tools in the processes of planning and management of construction production. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Environmental management

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Automatic settlement assessment of urban road from 3D terrestrial laser scan data

Journal of Infrastructure Intelligence and Resilience

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Journal of Infrastructure Intelligence and Resilience 2025年第1期4卷

作者： Zhang, Xinchen Wang, Qian Fang, Hai Ying, Guogang College of Civil Engineering Nanjing Tech University Nanjing211816 China Department of Construction and Real Estate School of Civil Engineering Southeast University Nanjing211189 China School of Civil Engineering Ningbotech University Ningbo315104 China Ningbo Langda Technology Co. Ltd Ningbo315000 China Nanjing Gongda Construction Technology Co. Ltd Nanjing211800 China

Tunnel construction in urban environments often requires passing beneath existing roads, where excessive soil excavation can lead to road cracking, settlement, or heaving, posing risks to road safety. Traditional road settlement monitoring methods rely on manual measurements, which are time-consuming, labor-intensive, and costly. Some existing approaches also require extensive sensor deployment, complicating installation and maintenance. To address these challenges, this study introduces a LiDAR-based method for efficient and accurate road settlement assessment. The impact of various LiDAR measurement parameters on assessment accuracy and efficiency was analyzed under typical urban road conditions. A comprehensive workflow was developed, incorporating both rough and fine alignment processes. Key steps in the workflow, such as automated identification of matching planes between point clouds, directional alignment, and angle fine-tuning, were automated using advanced algorithms. The proposed method was applied and validated in a region undergoing tunneling works in Singapore. Results demonstrated that the partially automated LiDAR-based approach achieved comparable accuracy to manual point cloud alignment methods while significantly improving efficiency and reducing labor costs. Furthermore, when compared to traditional total station methods, the LiDAR-based technique maintained errors within acceptable limits and enabled broader spatial coverage. Overall, this study highlights the feasibility and potential of LiDAR technology to enhance road settlement monitoring in engineering practice, offering a cost-effective and scalable alternative to traditional methods. © 2025 The Authors

关键词： Tunneling (excavation)

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Neural radiance fields (nerf) for multi-scale 3d modeling of cultural heritage artifacts 10

Neural radiance fields (nerf) for multi-scale 3d modeling of...

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10th International Workshop 3D-ARCH "3D Virtual Reconstruction and Visualization of Complex Architectures"

作者： Croce, V. Forleo, G. Billi, D. Bevilacqua, M.G. Piemonte, A. Caroti, G. LISPEN EA 7515 Arts et Métiers Institute of Technology Aix-en-Provence13100 France Dept. of Energy Systems Territory and Construction Engineering University of Pisa Pisa56122 Italy Dept. of Civil and Industrial Engineering University of Pisa Pisa56122 Italy

This research aims to assess the adaptability of Neural Radiance Fields (NeRF) for the digital documentation of cultural heritage objects of varying size and complexity. We discuss the influence of object size, desired scale of representation, and level of detail on the choice to use NeRF for cultural heritage documentation, providing insights for practitioners in the field. Case studies range from historic pavements to architectural elements or buildings, representing diverse and multi-scale scenarios encountered in heritage documentation procedures. The findings suggest that NeRFs perform well in scenarios with homogeneous textures, variable lighting conditions, reflective surfaces, and fine details. However, they exhibit higher noise and lower texture quality compared to other consolidated image-based techniques as photogrammetry, especially in case of small-scale artifacts. © 2024 International Society for Photogrammetry and Remote Sensing. All rights reserved.

关键词： 3D modeling

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A Socio-Technological Framework for Optimizing Water Utility Strategies and Resilience to Pandemic Changes and Contamination Events

A Socio-Technological Framework for Optimizing Water Utility...

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World Environmental and Water Resources Congress 2022: Adaptive Planning and Design in an Age of Risk and Uncertainty

作者： Kadinski, Leonid Vizanko, Brent Berglund, Emily Ostfeld, Avi Faculty of Civil and Environmental Engineering Technion-Israel Institute of Technology Haifa Israel Dept. of Civil Construction and Environmental Engineering North Carolina State Univ. RaleighNC United States

ISBN: (数字)9780784484258

ISBN: (纸本)9780784484258

Water distribution systems are critical infrastructure that deliver high quality drinking water to its consumers. Contamination events in water distribution systems (WDS) are emergencies that can cause distress in the population and require quick response from the responsible utility manager. While regular water quality parameters are monitored at water treatment facilities, it is still a challenge to monitor water quality in the WDS itself. Various models have been developed to explore the reactions and interactions of relevant stakeholders during a contamination event including agent-based modelling. Furthermore, recent research has shown that water demands have significantly changed during the COVID-19 pandemic, and these changes can affect the operation and management of water infrastructure. In this study, an agent-based modelling framework is developed to explore social dynamics and reactions of water consumers and a utility manager during a contamination event, while considering a pandemic demand scenario. Furthermore, innovative response and recovery methods to a contamination event are explored for rehabilitating the water network after a water quality deterioration. Graph theory algorithms are used to place mobile sensor equipment for surveying the water quality in specific network parts, and the distribution system is clustered by the status of endangerment. The Bayesian Belief Network (BBN) was developed using survey data around risk perceptions and social distancing behaviour that were collected during the COVID-19 pandemic. The agent-based model (ABM) was developed using output from the BBN and water use data that were collected during the COVID-19 pandemic. The ABM is coupled with hydraulic simulation of the water infrastructure to evaluate changes in hydraulic performance. The model can be used to explore long and short-term consequences of the pandemic on water distribution systems' management, design, and operations;develop and optimize strategies

关键词： Water distribution systems

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Study on Improved Large Span Propping System for Reinforced Concrete Composite Slabs with Lattice Girders

Study on Improved Large Span Propping System for Reinforced ...

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2023 International Conference on Applied Mechanics and Physics

作者： Li, Siyao Li, Liming Shi, Pengfei Guo, Zhipeng Su, Yanjiang Li, Yubo China Construction Science & Technology Group Co. LTD. 13 Hangfeng St. Fengtai District Beijing China School of Civil and Resources Engineering University of Science & Technology Beijing 30 Xueyuan Road Haidian District Beijing China

To further improve the installation efficiency of commonly used reinforced concrete composite slabs with lattice girders in China, an Improved Large Span Propping System is proposed. This article investigates the mechanical properties of the new propping system through in-situ monitoring. The monitoring results show that the displacement and stress of the prefabricated layer can meet the requirements of current Chinese standards, which indicates the feasibility of the new support system. Compared with the original Large Span Propping System, the new propping system can further utilize the bending stiffness of the prefabricated layer and reduce the installation amount of the lower propping frame. © Published under licence by IOP Publishing Ltd.

关键词： Reinforced concrete

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Analysis of Fatal construction Accidents in Indonesia—A Case Study

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Buildings 2024年第4期14卷 1010-1010页

作者： Bria, Theresia Avila Chen, Wei Tong Muhammad, Mubasher Rantelembang, Melati Balla Graduate School of Engineering Science and Technology National Yunlin University of Science and Technology Douliu64002 Taiwan Department of Civil Engineering State Polytechnic of Kupang Kupang City85361 Indonesia Department of Civil and Construction Engineering National Yunlin University of Science and Technology Douliu64002 Taiwan

Booming demand for facilities and infrastructure in Indonesia has led to an increase in construction-related accidents. Court rulings provide valuable data on accident circumstances, which can help improve safety standards. Although information on these accidents is scarce and not systematically consolidated, effective data gathering and analysis can lead to better safety outcomes. This study analyzes 150 court rulings in construction industry accident cases and their related decision frameworks to identify seven risk categories using scenario analysis. The correlative patterns and their associated significance are explored via descriptive statistical analysis, and four categories, namely project, task, accident, and medium, were found to be correlated. The results of the cross-tabulation test between two categories were used to highlight correlated categories. Toll road works accounted for 52% of accident cases, with collisions with construction machinery being the most frequent accident type (36%, 76 cases). Lifting and moving goods had respective phi and Cramer values of 0.534 and 0.001. It is obvious that future safety improvement efforts should focus on roadway projects and utilizing construction vehicles for transportation and lifting work. This can be achieved through increased regulatory compliance, proper utilization of standard operating procedures (SOPs), and ensuring vehicle suitability. The results of this study are highly relevant to workplace health and safety officers and risk management personnel. © 2024 by the authors.

关键词： Accidents

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Numerical Simulations of Soil Liquefaction using PLAXIS 2D

Numerical Simulations of Soil Liquefaction using PLAXIS 2D

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2023 International Conference on Applied Mechanics, Materials Physics, and engineering Structures, MMPES 2023

作者： Mulyadi, E.D. Lastiasih, Y. Li, A.J. Department of Civil and Construction Engineering National Taiwan University of Science and Technology No.43 Keelung Road Sec.4 Da'an District Taipei City10607 Taiwan Department of Civil Engineering Institut Teknologi Sepuluh Nopember Campus ITS Keputih Sukolilo Surabaya60111 Indonesia

One of the most serious and complex phenomena that can occur during earthquakes is soil liquefaction. Since Taiwan is located in the seismic zone of the Pacific Rim, where earthquakes and strong earthquakes occur frequently, the evaluation and prediction of liquefaction have attracted the attention of many authorities, researchers, and engineers in Taiwan. Therefore, in this paper, PLAXIS 2D software was used in conjunction with two model conditions, with and without deep excavation project, and two types of constitutive models, Hardening Soil model with small-strain stiffness (HSS) and UBC3D-PLM, to simulate a series of numerical analyses to predict liquefaction potential. The soil profile of Sanchong District, one of the metropolitan areas in Taiwan considered to be particularly susceptible to soil liquefaction, was selected as the soil profile. The results show that the UBC3D-PLM model has a relatively higher liquefaction potential than the Hardening Soil model with small-strain stiffness (HSS) for the model condition without the deep excavation project. However, the dynamic calculation using UBC3D-PLM model cannot be fully performed for the model condition with the deep excavation project. © Published under licence by IOP Publishing Ltd.

关键词： Soil liquefaction

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Acoustic Analysis of Multi-Frequency Problems Using the Boundary Element Method Based on Taylor Expansion

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International Journal for engineering Modelling 2023年第1期36卷 27-47页

作者： Zhaot, Juan Chen, Leilei Lit, Haozhi Wang, Zhongwang Mat, Wenqiang Chen, Xiuyun College of Architecture and Civil Engineering Xinyang Normal University Henan Xinyang464000 China College of Intelligent Construction Wuchang University of Technology Hubei Wuhan430223 China School of Architectural Engineering Huanghuai University Henan Zhumadian Henan463003 China Henan International Joint Laboratory of Structural Mechanics and Computational Simulation Huanghuai University Zhumadian463003 China

This work proposes a refreshing technique that utilizes the Taylor expansion to improve the computational efficiency of the multi-frequency acoustic scattering problem. The Helmholtz equation in acoustic problems is solved using the boundary element method (BEM). In this work, the Taylor expansion is utilized to separate frequency-dependent terms from the integrand function in the boundary integral equation so that the wave number is independent of the equation system, thereby avoiding the time-consuming frequency sweep analysis. To conquer the non-uniqueness of the solution for the external acoustic field problem, the Burton-Miller method is used to linearly combine the conventional boundary integral equation and the hypersingular boundary integral equation. Moreover, to eliminate the computational difficulties caused by the Burton-Miller method, the Cauchy principal value and the Hadamard finite part integral method are used to solve singular integrals. Two-dimensional numerical examples are exploited to verify the effectiveness and compatibility of the algorithm for the multi-frequency analysis. © 2023, University of Split. All rights reserved.

关键词： Boundary element method

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Investigation on Superhydrophobicity and Piezoresistivity of Self-sensing Cement-Based Sensors Using Silane Surface Treatment 1

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Nanotechnology in construction, including deep advances in cement chemistry, nanotechnology, artificial intelligence, robotics, concrete technology, and extreme engineering (blast, impact and fire)

作者： Dong, W.K. Li, W.G. Lin, X.Q. Shah, S.P. School of Civil and Environmental Engineering University of Technology Sydney SydneyNSW Australia Institute of Construction Materials Technische Universität Dresden Dresden Germany Center for Advanced Construction Materials The University of Texas at Arlington ArlingtonTX United States

ISBN: (数字)9789819933303

ISBN: (纸本)9789819933297

Cement-based sensors are highly susceptible to the effects of watery environments due to the hydrophilic properties of the cement matrix. In this paper, we applied a surface treatment using a silane/isopropanol solution to graphene/cement-based sensors to achieve superhydrophobicity and mitigate piezoresistive instability in watery environments. After treatment, impressive water contact angles of 163.4° and 142.0° were achieved for the surface and inner cement-based sensors, respectively. Moreover, the piezoresistivity of the coated cement-based sensors exhibited greater stability compared to their untreated counterparts. These results provide valuable insights into the piezoresistivity of hydrophobic cement-based sensors in moist environments, offering promising prospects for future structural health monitoring applications. © 2023, The Author(s).

关键词： Graphene

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