Structure and Infrastructure Engineering

Scope & Guideline

Unveiling Insights for Tomorrow's Infrastructure

Introduction

Explore the comprehensive scope of Structure and Infrastructure Engineering through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Structure and Infrastructure Engineering in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1573-2479
PublisherTAYLOR & FRANCIS LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2007 to 2024
AbbreviationSTRUCT INFRASTRUCT E / Struct. Infrastruct. Eng.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

The journal 'Structure and Infrastructure Engineering' focuses on innovative research and practical applications in the field of structural and infrastructural engineering. It aims to advance knowledge in various aspects of structural performance, safety, and resilience, particularly in relation to bridges and other civil infrastructure systems. The journal emphasizes the integration of advanced methodologies, including computational modeling, machine learning, and non-destructive testing, to address contemporary challenges in infrastructure management and maintenance.
  1. Structural Performance Assessment:
    Research on the evaluation of structural integrity, including fatigue analysis, seismic resilience, and damage detection methodologies for various types of structures.
  2. Innovative Materials and Design Techniques:
    Exploration of advanced materials and design methodologies, such as ultra-high-performance concrete and fiber-reinforced polymers, aimed at enhancing structural performance and durability.
  3. Data-Driven Decision Making:
    Utilization of data analytics, machine learning, and artificial intelligence to improve decision-making processes in infrastructure monitoring, maintenance, and management.
  4. Environmental Impact and Sustainability:
    Studies focused on the environmental impacts of structural engineering practices and the development of sustainable infrastructure solutions, including life-cycle assessments.
  5. Risk and Reliability Analysis:
    Probabilistic approaches to analyze risks associated with infrastructure systems, including vulnerability assessments under various hazards such as seismic events and climate change.
  6. Digital Technologies in Infrastructure:
    Integration of digital technologies, such as digital twins and smart monitoring systems, to enhance the assessment and management of infrastructure assets.
The journal has seen a significant increase in publications addressing new and emerging themes within the field of structural and infrastructure engineering. These trends indicate a shift towards innovative approaches and technologies that enhance infrastructure resilience and sustainability.
  1. Machine Learning and AI Applications:
    There is a growing trend in the application of machine learning and artificial intelligence for predictive maintenance, damage detection, and structural health monitoring, indicating a shift towards data-driven methodologies.
  2. Resilience and Sustainability Studies:
    Research focusing on the resilience of infrastructure systems against natural disasters and climate change impacts is increasingly popular, reflecting a societal need for more sustainable engineering practices.
  3. Integration of Digital Twins:
    The use of digital twin technology for real-time monitoring and assessment of infrastructure is gaining momentum, showcasing a trend towards leveraging digital tools for enhanced decision-making.
  4. Advanced Non-Destructive Testing Techniques:
    Emerging studies on innovative non-destructive testing methods, including the use of UAVs and advanced imaging techniques, are becoming more prevalent as they offer safer and more efficient inspection options.
  5. Multi-Hazard Risk Assessments:
    Research addressing the combined effects of multiple hazards (e.g., seismic, flooding) on infrastructure systems is on the rise, reflecting a broader understanding of risk in complex environments.

Declining or Waning

As the journal evolves, certain research themes have shown a decline in prominence. This may reflect shifts in focus towards more emerging technologies or methodologies that are becoming more relevant in the field.
  1. Traditional Inspection Methods:
    There is a noticeable reduction in studies focusing solely on conventional inspection techniques, as more advanced technologies like digital monitoring and machine learning gain traction.
  2. Static Structural Analysis:
    Research centered around static analysis methods is declining in favor of dynamic analysis techniques that better account for real-world conditions and loads.
  3. Generalized Risk Assessments:
    Broad, non-specific risk assessments are becoming less prominent compared to more targeted, quantitative risk analyses that utilize advanced modeling and simulation techniques.

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