Special Issue on Advanced Vibration-Based Structural Health Monitoring Methods for Civil and Mechanical Systems

Submission Deadline: Oct. 15, 2020

This special issue currently is open for paper submission and guest editor application.

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Special Issue Flyer (PDF)

  • Special Issue Editor
    • Hassan Sarmadi
      Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to fulfill the Guest Editor application.
    • Alireza Entezami
      Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy
  • Introduction

    Vibration-based structural health monitoring (SHM) is an active research area in civil and mechanical engineering communities. This research area may include damage diagnosis including early damage detection, damage localization, and damage quantification in civil structures, fault detection in mechanical systems, and finite element model updating. In general, model-based and data-based methods are two approaches to the above-mentioned procedures. Model-based techniques usually lie in establishing an elaborate finite element model of a structural system and dynamic information for solving linear and nonlinear equations. Data-based methods utilize statistical pattern recognition paradigm as well as raw vibration data. In recent years, numerous research studies focused on data-based methods due to simplicity and efficiency but model-based techniques still have their advantages. This special issue is intended to pay more attention on advanced model-based, data-based, and hybrid methods for vibration-based SHM applications. The main focus of this special issue is on novel and practical approaches based on vibration data, sensitivity-based or non-sensitivity-based methods, effective and innovative solution techniques of linear and nonlinear inverse and forward problem, new methods of statistical pattern recognition paradigm and machine learning algorithms for data-based approaches, new dynamic features, and applications of advanced model-based and data-based methods to numerical, experimental, and full-scale civil and mechanical systems.
    Aims and Scope:
    1. Structural health monitoring
    2. Damage diagnosis and fault detection
    3. Finite element model updating
    4. Solution of linear and non-linear mathematical systems
    5. Statistical pattern recognition and machine learning
    6. Vibration data

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.ijmea.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.

  • Published Papers

    The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.

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