• 学术搜索
  • 科研智能体
    • Research Labs
    • AI 阅读
    • AI 文库
    • 深度研究
    • 学者亮点
  • 学术资源
    • AI2000
    • 期刊/会议
    • 学者库
    • 学术API
      MCP&Skill
    • 溯源树
    • 数据集
  • 知识沉淀
    • 学术空间
订阅小程序
旧版功能
aminer vip
开通会员低至0.73元/天
一次搞定AI科研
立即登录
  • English
  • 联系方式
    N

    National University of Civil Engineering

    院校EST. 1966
    904论文总数
    1.4万引用总数

    Hanoi University of Civil Engineering (HUCE; Vietnamese: Trường Đại học Xây dựng Hà Nội) also known as the National University of Civil Engineering (NUCE) - a public higher education institution in Vietnam. The university is one of the leading universities and among the top 7 engineering universities in Vietnam.HUCE is one of four universities participating in educating high- qualified engineers of Vietnamese - French Courses. The University also has French speaking Civil Engineering Courses supported by AUPELF - a global network of French-speaking higher-education and research institutions.HUCE was officially founded in 1966 in the capital of Vietnam - Hanoi. It is considered to be a large university, teaching more than 18,000 undergraduate students and 2000 post-graduate students. The teaching staff is 699 specialists. The university has international partners which allows its students to participate in exchange programs.The university has 14 Faculties and 54 Departments, 16 laboratories and workshops. It offers bachelor's, master's and doctoral degrees. The main campus is in the Hanoi capital, district of Hai Ba Trung.The University has educated over 60,000 engineers and architects with more than 5,000 masters and doctors. Different generations of the University's lecturers and students have been working throughout the country, contributing profoundly to the national defense and development.

    论文量&引用量时间轴

    机构学者

    论文(904)

    年份
    起
    –
    止
    排序
    1Nonlinear Dynamic Analysis of 3D-FGM Sandwich Plates Resting on Partial Elastic Foundations Subjected to a Moving Mass
    Xuan-Phong Le,Van-Chinh Nguyen,Huu-Quoc Tran

    While FGM sandwich plates are prevalent in aerospace and civil engineering for their tunable multi-directional properties, there is a dearth of research on 3D-FGM plates that account for geometric nonlinearity and moving mass effects while being partially supported by an elastic foundation. This paper presents a nonlinear finite element model based on Shi's higher-order plate theory and von Karman geometric nonlinearity to analyse the nonlinear dynamic response of sandwich plates partially supported on an elastic foundation. The sandwich plate consists of two outer layers made of three-dimensional functionally graded material (3D-FGM) and a core layer of two-dimensional functionally graded material (2D-FGM), both fabricated from ceramics and metals using power-law distributions. The equations of motion of the plate under the influence of a moving mass are derived via Hamilton's principle and solved using the Newmark-beta method in conjunction with the Newton-Raphson iterative scheme. Numerical results not only demonstrate the convergence and accuracy of the established model when compared with results published in the literature but are also used to evaluate and analyse the influence of volume fraction indices, geometric parameters, sandwich configuration, weight and velocity of the moving mass, and boundary conditions on the dynamic response of the sandwich plate. Several key findings are highlighted: (i) nonlinear models are essential for plates with low stiffness or few constraints (e.g., SFSF), where linear models overestimate deflection by up to 40%; (ii) volume fraction indices px,py,pz and layer thickness ratios are effective design parameters for controlling structural stiffness; (iii) the shear stiffness coefficient of a partially elastic foundation has a stronger influence on deflection reduction than the Winkler stiffness coefficient; and (iv) the dynamic amplification coefficient peaks within a critical velocity range before decreasing.

    2026THIN-WALLED STRUCTURES(2026)
    引用
    AI阅读
    加入学术空间
    2Benefits and Risks of APDM Programmatic Approaches to Highway Construction in the United States
    Nhien Dinh Le,Daniel Tran, Duc Nguyen

    Purpose There are limited studies that have explored a programmatic approach (systematic approach, agency-wide approach) to delivering and managing alternative project delivery methods (APDMs) in highway. This study aims to identify and document the benefits and risks of programmatic approaches to APDM for highway projects. Design/methodology/approach Data were collected from 50 targeted participants from state highway agencies. A survey of 50 highway agency experts in the USA and principal component analysis to analyze risks associated with APDMs were conducted. The purposive sampling based on participants' APDM experience was used for the survey. Statistical software (e.g. SPSS and R) was used for analyzing survey data. Findings The top five benefits of implementing APDM programmatic approaches include better risk management, schedule flexibility, innovation flexibility, earlier cost certainty, and effective change management. The top five risks of APDM programmatic approaches include utility issues, environmental permits and approvals, schedule and phasing issues, coordination with government agencies or other authorities having jurisdiction, and scope changes. Further, market conditions and staff experience risks showed statistically significant risk perception differences between experienced and less experienced agencies. Originality/value This study seems to be one of the first academic efforts in the USA to examine the benefits and risks of APDM programmatic approaches for highway construction, offering practical insights that enable agencies to identify key advantages and strategically allocate resources to manage risks associated with each approach.

    2026Built Environment Project and Asset Management(2026)
    引用
    AI阅读
    加入学术空间
    3Open-source One-Dimensional Modelling of Piston-Effect Pressure Waves in High-Speed Railway Tunnels: Verification, Benchmarking Against 3D CFD and Single-Train Design-Load Screening
    Tung Doan

    Purpose The piston effect of a high-speed train passing through a tunnel produces pressure transients that drive tunnel cross-section design and impose loads on rolling stock and equipment. This paper verifies an open-source one-dimensional solver for these transients and defines the limits of its predictive capability. Design/methodology/approach The train is represented as a moving cross-sectional-area blockage in the quasi-one-dimensional compressible Euler equations, discretised with a second-order MacCormack scheme. The solver is verified against the analytical entry-wave solution, validated against a published full-scale measurement of the piston-wind field, benchmarked against published three-dimensional computational fluid dynamics (CFD), subjected to a five-level grid-refinement study with dissipation and nose-ramp sensitivity tests and applied to a single-train design case. Findings The compression-wave amplitude agrees closely with both the analytical solution and the published three-dimensional CFD results. The principal result concerns the localised suction peak beneath the train nose, commonly assumed to lie beyond the reach of area-averaged one-dimensional models: once the cell size resolves the nose ramp, it is grid-convergent, with a Richardson value within a few per cent of the three-dimensional CFD result. What had appeared to be non-convergence was due to under-resolution. Coupling to a cabin-sealing model shows that a narrower tunnel is viable only if the rolling stock carries a more demanding sealing specification. Originality/value The solver is, to the author's knowledge, the first permissively licensed one-dimensional tool for high-speed compression-wave transients released with a reproducible verification-and-validation suite, providing a common baseline for benchmarking new closures. The grid study also corrects a limitation commonly attributed to this class of model.

    2026Railway Sciences(2026)
    引用
    AI阅读
    加入学术空间
    4Vibration and Buckling of Sandwich Plates with Honeycomb Auxetic Core and Three-Phase Bi-Directional Functionally Graded Face Sheets
    Huu-Quoc Tran,Van-Chinh Nguyen,Thu-Phuong Hoang

    This paper focuses on the investigation of the free vibration and buckling behaviour of honeycomb auxetic bidirectional functionally graded sandwich (2D-FGASW) plates. The 2D-FGASW plates under consideration consist of two face sheets made of bi-directional functionally graded materials (2D-FGM) whose mechanical properties vary along thickness and longitudinal directions according to the power law and a core made of a re-entrant auxetic honeycomb material with a negative Poisson's ratio. The face sheets incorporate a combination of two ceramics and one metallic material, providing a diverse range of mechanical characteristics. The core is fabricated from the same metallic material used in the face sheets, ensuring compatibility and continuity throughout the structure. A finite element model is developed using a four-node rectangular element, with eight degrees of freedom per node. This model is based on the four-variable shear deformation refined plate theory and Hamilton's principle. To ensure the reliability and accuracy of the proposed model, several comparative examples are presented, demonstrating its convergence and capability in capturing the behaviour of the plates. Finally, some new investigations evaluating the influence of material and geometrical parameters on the vibration and buckling responses of the 2D-FGASW plates are presented in detail, shedding light on the design considerations necessary for optimizing their performance.

    2025ENGINEERING STRUCTURES(2025)引用:10
    引用
    AI阅读
    加入学术空间
    5Landslide Risk Assessment Using an Integrated Framework of Machine Learning Algorithms and Multi-Criteria Decision Analysis
    Hang Ha,Chinh Luu,Quynh Duy Bui,Viet-Phuong Nguyen,Ngoc-Tru Vu,Matthieu Kervyn

    Landslides in mountainous regions, such as Son La province in northern Vietnam, pose significant risks to human life, property, and infrastructure. Rapid urbanization and deforestation in Vietnam exacerbate landslide risks, making effective landslide risk assessment crucial for disaster mitigation and management. This study introduces a new integrated framework combining machine learning models and multi-criteria decision analysis to estimate landslide risk. We utilized 1,771 landslide locations from various sources and fifteen landslide influencing factors as model input to create landslide susceptibility maps using advanced hybrid machine learning models. The Analytic Hierarchy Process is used to weight indicators of social-economic and infrastructure impacts, resulting in a comprehensive landslide risk assessment map. The final risk map showed the landslide susceptibility and consequences in a matrix, highlighting that 3.25

    2025Natural Hazards(2025)引用:4
    引用
    AI阅读
    加入学术空间
    立即登录,查看全部 904 篇论文

    合作机构(100)

    越南科学技术研究院合作论文 33
    Thuyloi University合作论文 27
    Duy Tan大学合作论文 24
    University Of Transport Technology合作论文 23
    世宗大学合作论文 20
    埼玉大学合作论文 18
    河内科学技术大学合作论文 18
    Vinh University合作论文 16
    岡山大学合作论文 14
    越南国立大学理工大学合作论文 13

    机构统计