Shock and Vibration

Structural Health Monitoring through Vibration-Based Approaches


Publishing date
01 Oct 2018
Status
Published
Submission deadline
25 May 2018

Lead Editor

1IUAV University of Venice, Venice, Italy

2Cranfield University, Cranfield, UK

3University of Rome, Rome, Italy


Structural Health Monitoring through Vibration-Based Approaches

Description

Historic masonry structures are among the most vulnerable human constructions when natural disasters—hurricanes, tornadoes, floods, landslides, and earthquakes—strike a territory. The potential of these events to cause large-scale destruction and the intrinsic susceptibility of heritage structures make their structural health assessment of significant importance.

A promising means of assessing the safety of vulnerable structures is the application of vibration-based monitoring (VBM) systems. These allow the observation of the global response for a structure, including damage detection, classification, and progression. In fact, dynamic monitoring systems have proven to be particularly suited for cultural heritage structures such as palaces, churches, and towers, whose structural behaviors are strongly influenced by their geometric complexity and the nonlinearity and inhomogeneity of the masonry material. Moreover, because of its nondestructive and noninvasive nature, vibration-based monitoring can be safely applied to damaged structures, which are potentially dangerous under other test conditions. Thus, analysis of modal behavior can reveal structural weaknesses or deficiencies induced by a seismic event. In fact, monitoring of a set of appropriately chosen features and capturing the local and global structural weaknesses may reveal the effectiveness of safety and retrofitting interventions—as well as any progression in structural damage. Thanks to their noninvasive characteristics, VBM procedures are widely used in historic masonry structures, and several studies have addressed structural identification of cultural heritage using ambient vibration data.

This special issue aims to explore structural health monitoring via vibration-based approaches, especially for complex systems such as historic structures. In welcoming interdisciplinary studies from across several scientific communities—including engineering, numerical modeling, seismology, and geotechnics—we hope to present studies from the breadth of the field and provide insights into its future development.

We invite researchers to contribute original research, case studies, and review articles in the following main areas: (1) dynamic identification for model and data-driven approaches; (2) local and global damage detection; and (3) numerical, experimental, and physical modeling.

Potential topics include but are not limited to the following:

  • Model-driven approaches in structural health monitoring
  • Data-driven approaches in structural health monitoring
  • Machine learning based structural health monitoring
  • Damage detection, classification, or localization
  • Operative approaches and case studies for data acquisition and signal processing
  • Operational and experimental modal analysis
  • Uncertainty quantification in structural health monitoring data (sensor accuracy, environmental and geometrical effects, etc.)
  • Finite element procedures for structural health monitoring
  • Soil-structure interaction in vibration-based monitoring

Special Issue Editors in Chief


Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 9476146
  • - Research Article

Effect of Environmental Conditions on the Modal Response of a 10-Story Reinforced Concrete Tower

Marco Regni | Davide Arezzo | ... | Daniele Zonta
  • Special Issue
  • - Volume 2018
  • - Article ID 3425461
  • - Research Article

Pile-Raft Settlements Prediction under Coupled Static-Dynamic Loads Using Four Heuristic Regression Approaches

Mosbeh R. Kaloop | Jong Wan Hu | Emad Elbeltagi
  • Special Issue
  • - Volume 2018
  • - Article ID 6476783
  • - Research Article

Damping Identification with Acceleration Measurements Based on Sensitivity Enhancement Method

Xusheng Wang | Kun Liu | ... | Yuhan He
  • Special Issue
  • - Volume 2018
  • - Article ID 3827463
  • - Research Article

An Experimental Test Bed for Developing High-Rate Structural Health Monitoring Methods

Bryan Joyce | Jacob Dodson | ... | Jonathan Hong
  • Special Issue
  • - Volume 2018
  • - Article ID 9385171
  • - Research Article

The Feasibility of Using Laser Doppler Vibrometer Measurements from a Passing Vehicle for Bridge Damage Detection

Abdollah Malekjafarian | Daniel Martinez | Eugene J. OBrien
  • Special Issue
  • - Volume 2018
  • - Article ID 4252438
  • - Research Article

Weak Fault Signal Detection of Rotating Machinery Based on Multistable Stochastic Resonance and VMD-AMD

Dongying Han | Xiao Su | Peiming Shi
  • Special Issue
  • - Volume 2018
  • - Article ID 7845143
  • - Research Article

Experimental Investigation of Sandstone under Cyclic Loading: Damage Assessment Using Ultrasonic Wave Velocities and Changes in Elastic Modulus

Sen Yang | Nong Zhang | ... | Deyu Qian
  • Special Issue
  • - Volume 2018
  • - Article ID 8218657
  • - Research Article

Research on Fault Diagnosis Based on Singular Value Decomposition and Fuzzy Neural Network

Jingbo Gai | Yifan Hu
  • Special Issue
  • - Volume 2018
  • - Article ID 6905073
  • - Research Article

Numerical and Experimental Identification of Seven-Wire Strand Tensions Using Scale Energy Entropy Spectra of Ultrasonic Guided Waves

Ji Qian | Xin Chen | ... | Xu Wang
  • Special Issue
  • - Volume 2018
  • - Article ID 9837694
  • - Research Article

On the Use of Singular Vectors for the Flexibility-Based Damage Detection under the Assumption of Unknown Structural Masses

Said Quqa | Luca Landi | Pier Paolo Diotallevi
Shock and Vibration
 Journal metrics
Acceptance rate36%
Submission to final decision92 days
Acceptance to publication38 days
CiteScore2.400
Impact Factor1.298
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