Smart Structures and Systems

Scope & Guideline

Empowering Knowledge in Smart Systems

Introduction

Explore the comprehensive scope of Smart Structures and Systems 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 Smart Structures and Systems in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1738-1584
PublisherTECHNO-PRESS
Support Open AccessNo
CountrySouth Korea
TypeJournal
Convergefrom 2006 to 2024
AbbreviationSMART STRUCT SYST / Smart. Struct. Syst.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressPO BOX 33, YUSEONG, DAEJEON 305-600, SOUTH KOREA

Aims and Scopes

The journal 'Smart Structures and Systems' focuses on the intersection of advanced engineering, smart materials, and innovative systems for structural health monitoring and control. It is dedicated to disseminating research that enhances the safety, efficiency, and sustainability of infrastructures through the application of cutting-edge technology and methodologies.
  1. Smart Materials and Structures:
    Research on materials that can respond to environmental changes, including shape memory alloys and piezoelectric materials, to create structures that adapt dynamically to stresses.
  2. Structural Health Monitoring (SHM):
    Innovative approaches to monitor and assess the condition of structures using sensors, data analytics, and machine learning techniques to predict failures and optimize maintenance.
  3. Control Systems for Civil Engineering:
    Development of advanced control strategies, including adaptive and intelligent control systems, for managing the dynamic response of structures under various loading conditions such as earthquakes and winds.
  4. Data-Driven Modeling and Machine Learning:
    Application of machine learning and data-driven techniques to analyze structural behavior, detect anomalies, and improve predictive maintenance strategies.
  5. Sustainable and Resilient Infrastructure:
    Focus on the design and analysis of structures to enhance resilience against natural disasters and promote sustainable practices in construction and material usage.
  6. Integration of IoT in Structural Engineering:
    Research on the incorporation of Internet of Things (IoT) technologies to facilitate real-time monitoring and control of structural systems, enhancing operational efficiency.
  7. Simulation and Experimental Validation:
    Studies that combine numerical simulations with experimental validation to assess the performance of new structural designs and materials.
The journal has seen a rise in research themes that reflect current technological advancements and societal needs. These emerging scopes indicate a shift towards more innovative and integrated approaches in structural engineering.
  1. Artificial Intelligence and Machine Learning:
    There is a significant increase in the use of AI and machine learning techniques for predictive modeling, damage detection, and optimization of structural systems, highlighting a trend towards smart and automated solutions.
  2. Digital Twin Technology:
    The concept of digital twins is gaining traction, with research focusing on creating virtual replicas of structures for real-time monitoring and simulation, enhancing decision-making processes in infrastructure management.
  3. Resilience Engineering:
    Emerging studies emphasize the resilience of infrastructure against extreme events, with a growing body of research dedicated to developing strategies that enhance the durability and safety of structures under various stressors.
  4. Sustainable Design Practices:
    There is a rising trend towards incorporating sustainability into structural design, with a focus on eco-friendly materials and energy-efficient construction practices that align with global sustainability goals.
  5. Advanced Sensing Technologies:
    The integration of advanced sensing technologies, such as fiber optics and wireless sensor networks, is on the rise, enabling more comprehensive and effective monitoring of structural health.
  6. Remote Sensing and UAV Applications:
    Research utilizing drones and remote sensing technologies for structural inspections and assessments is increasingly prevalent, reflecting a shift towards more efficient and safer inspection methods.

Declining or Waning

While 'Smart Structures and Systems' has a broad and evolving scope, certain themes have become less prominent in recent publications. This decline may reflect shifts in research focus or advancements in technology that render previous methodologies less relevant.
  1. Traditional Structural Analysis Techniques:
    There has been a noticeable decrease in the publication of papers relying solely on conventional structural analysis methods, as the field increasingly embraces advanced computational techniques and data-driven approaches.
  2. Static Load Testing:
    Research centered on static load testing of structures has waned, likely due to the growing preference for more dynamic and real-time monitoring solutions that provide continuous data on structural performance.
  3. Non-Smart Materials:
    Papers discussing non-smart materials are appearing less frequently, as the focus shifts towards smart materials that offer enhanced capabilities and functionalities in structural applications.
  4. Basic Sensor Technologies:
    There is a declining interest in basic sensor technologies, with a shift towards more sophisticated and integrated sensor networks that leverage IoT and advanced data analytics.
  5. Single-Disciplinary Approaches:
    Research published using single-disciplinary approaches is becoming less common, as interdisciplinary collaboration is increasingly recognized as essential for addressing complex structural challenges.

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