Special Issue – JSTT
Digital Transformation, Smart Materials, and Resilient Design for Vietnam's High-Speed Railway Infrastructure
JSTT (E-ISSN: 2734-9950) is a Scopus-indexed, peer-reviewed, open-access journal published by the University of Transport Technology. This Special Issue invites high-quality original research articles, comprehensive review papers, and technical notes that advance the scientific and technological foundations underpinning Vietnam's HSR and related transportation infrastructure.
While the Special Issue welcomes selected extended papers from the associated International Conference, it is open to all external submissions to ensure broad participation and global impact.
Topics of Interest
Area 1: High-Speed Railway Technology
High-Speed Railway (HSR) Structural Dynamics and Bridge Engineering
Computational methods for dynamic analysis of HSR bridges and viaducts; vehicle-bridge interaction, resonance phenomena, and ride comfort assessment; track-structure interaction and rail-wheel contact mechanics; fatigue, durability, and long-term performance of railway structures under high-speed loading.
Smart and Advanced Construction Materials for Railway Infrastructure
Ultra-high-performance concrete (UHPC), geopolymer concrete, and fibre-reinforced polymers (FRP) for railway structures; metaconcrete and auxetic materials for vibration damping and impact mitigation; CFRP tendons and advanced composites for prefabricated and modular bridge elements; lifecycle assessment, durability performance, and circular economy approaches for sustainable construction.
Structural Resilience, Health Monitoring, and Protective Design
Blast, impact, and seismic resistance of railway structures and critical infrastructure; performance-based design for multi-hazard resilience of transportation systems; structural health monitoring (SHM) using smart sensors, IoT, and edge computing; AI-powered damage detection, condition assessment, and remaining life prediction.
Geotechnical and Foundation Engineering for HSR
Geotechnical challenges for high-speed railway alignment in complex geological conditions; soft ground improvement, embankment stability, and settlement control for HSR corridors; deep foundation design for railway bridges, viaducts, and station structures; tunnelling technology, underground construction, and soil-structure interaction under dynamic loading.
Area 2: Smart Infrastructure
BIM, Digital Twin, and Lifecycle Management for Transportation Infrastructure
BIM-enabled design, planning, and construction workflows for railway and mega-infrastructure projects; Digital Twin frameworks for real-time monitoring, predictive maintenance, and operational optimization; 4D/5D/6D BIM for construction scheduling, cost management, and sustainability assessment; interoperability standards (IFC, CDE, openBIM) and Common Data Environments for HSR projects.
Artificial Intelligence (AI), Machine Learning (ML), and Data-Driven Engineering
Machine learning and deep learning for structural design optimization and damage detection; physics-informed neural networks (PINNs) and AI-driven FEM simulation for infrastructure analysis; computer vision and NLP for automated inspection, defect recognition, and document processing; generative design, surrogate modelling, and AI-assisted decision-making in infrastructure engineering.
Smart Transportation Systems, Network Planning, and Sustainability
HSR network planning, intermodal connectivity, and station area development; data science and AI for transportation demand modelling and traffic flow optimization; systems-level resilience analysis, urban metabolism, and multi-hazard risk assessment; economic, environmental, and social impact assessment of mega-transport infrastructure.
Digital Transformation, Industry 4.0, and Capacity Building
IoT, robotics, and automation in railway construction, inspection, and maintenance; extended reality (AR/VR/MR) for infrastructure design visualization and workforce training; BIM/digital literacy curricula and AI-augmented research workflows; technology transfer frameworks, smart construction management, and responsible AI governance.
Keywords
High-Speed Railway • Railway Bridge Dynamics • BIM • Digital Twin • Common Data Environment • Artificial Intelligence • Machine Learning • Deep Learning • Physics-Informed Neural Networks • FEM Simulation • Computer Vision • Generative Design • Smart Materials • UHPC • Geopolymer Concrete • FRP Composites • Structural Resilience • Structural Health Monitoring • Geotechnical Engineering • Tunnelling • Transportation Network Planning • Sustainable Infrastructure • Industry 4.0 • IoT • Extended Reality
Important Dates
Submission Guidelines
All manuscripts must be submitted through the JSTT online submission system at https://jstt.vn. When submitting, authors should indicate in their cover letter that the manuscript is intended for this Special Issue.
- Article types: Original research articles, review articles, and technical notes
- Language: English
- Peer review: Single-anonymized review by a minimum of two independent expert reviewers
- Originality: All submissions must be original and may not be under review by any other journal. Manuscripts will be checked for similarity using iThenticate
- Suggested referees: Authors are requested to provide the names, affiliations, and email addresses of three potential referees who have no conflict of interest with the authors
- Publication charges: JSTT operates with no article processing charges (APC). Publication is free for both authors and readers
- Licensing: Published articles are licensed under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0). All papers are assigned a DOI and registered with Crossref
Guest Editors
Dr. Khuong Le-Nguyen
University of Transport Technology, Vietnam
Vietnamese-Australian researcher with PhD from INSA Lyon. Expertise in AI/ML for structural engineering, FEM simulation, BIM/Revit. WIPO Medal for Inventors recipient. Co-leader of AMIS-HSR research group.