Please find attached the Call for Papers for the Special Issue on Modeling and Analysis of Inspection Uncertainties in Structural Health Monitoring.
Guest Editors
- Yi Zhang, Associate Professor, School of Civil Engineering, Tsinghua University, China, zhang-yi@tsinghua.edu.cn
- Chul-Woo Kim, Professor, Department of Civil and Earth Resources Engineering, Kyoto University, Japan, kim.chulwoo.5u@kyoto-u.ac.jp
- Yan-Gang Zhao, Professor, Department of Architecture, Kanagawa University, Japan, zhao@kanagawa-u.ac.jp
- Pei-Pei Li, Postdoctoral Research Fellow, School of Civil Engineering, Tsinghua University, China, lipeipei626@gmail.com
Aims & Scope
In recent years, structural health monitoring (SHM) technology has developed rapidly and is now gradually applied to civil, mechanical, automobile, and aerospace engineering practices. One of the most widely-held concerns is to utilize useful information provided by SHM for quantitative assessment of structural health and updating structural models. To accomplish this, inspection or measurement information is gathered through monitoring, followed by a thorough analysis that uses finite element analysis models, mathematical statistics tools, artificial intelligence technologies, or other advanced methods to obtain an objective quantitative assessment of structural health or updating structural models. However, due to uncertainties in mathematical modeling and analysis in SHM, objectives for satisfactory results of the quantitative structural health assessment and structural model updating have not been fully realized in real-world conditions, and many problems still require further research.