Advanced Numerical Methods and Structural Complex Systems Monitoring Process

Dear Colleagues,

Health Structural Monitoring is a strategic tool for the non-invasive monitoring and assessment of the health status of existing infrastructures and complex systems. It covers various sectors, such as health, aviation, mechanical, civil, electrical, and economic.

Recent advances in technology, detection techniques, but especially in the evolution of analytical and scientific predictive systems have allowed us to understand the diagnosis of material degradation and structural and non-structural damage.

This Special Issue focuses on recent developments in theoretical, computational, experimental, and practical aspects in the field and aims to cover several topics, namely sensors for structural health monitoring, damage detection and characterization algorithms, structural alarm systems, model-based structural life prediction methods, application of SHM for different exceptional loads, and influence of environmental and operational conditions.

It is desirable to present processes and analyses and innovative applications that constitute a synergistic and robust dialogue between advanced detection techniques and powerful simulators to make all the knowledge about the physical system available and perform early detection damage, precise diagnosis, and safe decision making.

The guest editors of this Special Issue hope to attract and obtain the contributions of engineers, mathematicians, and material scientists, among others, allowing for the creation of a multidisciplinary collection of innovative works and stimulating further discussions on these ground-breaking topics.

Prof. Dr. Francesco Fabbrocino
Prof. Dr. Shun-Peng Zhu
Dr. José A.F.O. Correia
Dr. Anna Crisci
Dr. Biagio Simonetti
Dr. Nicholas Fantuzzi
Guest Editors

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