Call for papers: “Data Acquisition and Processing, Uncertainty Management and Inverse Problem Techniques for Structural Health Monitoring Applications”

For a special issue of the International Journal of Sustainable Materials and Structural Systems.

The objective of this special issue is to present recent advances and emerging cross-disciplinary approaches in the broad field of structural health monitoring with a focus on novel techniques for (a) data acquisition and processing, (b) uncertainty modelling and quantification, and (c) inverse problems.

In particular, this issue intends to provide a forum for a fruitful exchange of ideas and interaction among diverse technical and scientific fields such as aerospace, structural, marine, mechanical and electrical engineering, as well as applied mathematics, statistics and computer science. Specific contributions related both to fundamental research and to engineering applications of advanced signal acquisition/processing techniques and health monitoring algorithms for damage detection and reliability prognosis are welcome.

Suitable topics include, but are not limited to:

• Multi-scale data processing methodologies
• Joint time-frequency signal analysis tools
• Spectral analysis/estimation subject to highly incomplete/sparse data
• Compressive sensing algorithms for efficient real-time data management
• Theoretical and experimental modal identification
• Operational modal analysis
• Linear and nonlinear system identification
• Statistical system identification methods (maximum-likelihood, Bayesian inference) for parameter and state estimation
• Model updating/validation and correlation
• Uncertainty quantification in model selection and parameter estimation
• Optimal strategies for experimental design
• Optimal sensor and actuator placement methods

Important Dates

Submission of manuscripts: 1 May, 2015
Notification to authors: 1 July, 2015
Final versions due: 1 September, 2015