ABSTRACT: Civil infrastructures have gained great importance for local and regional economy because of the major role of communication and networking in modern society. The accurate assessment of their integrity from a comprehensive perspective is, indeed, increasingly encouraged by stakeholders and governments. To this regard, behaviour of critical assets such as bridges represents a key issue when analysing the resilience of transportation networks and the evaluation of their performance decay over time allows avoiding catastrophic events. OBJECTIVES: This course aims to provide students with specific knowledge on structural degradation analysis, structural health monitoring and network resilience assessment. The subjects addressed are considered fundamental bullet points to take into account for a broad resilience assessment and for retrofit interventions design of infrastructures at both local and global level.

Guest Lectures SHORT CV MIANO: Dr Andrea Miano is Associate Professor of Structural Engineering. He earned his MSc in Structural & Geotechnical Engineering (2014) and a PhD in Structural, Geotechnical & Seismic Risk Engineering (2018) at the University of Naples Federico II, where he later served as a researcher. His work centers on structural health monitoring (incl. satellite SAR/DInSAR), performance-based assessment and retrofit of existing RC buildings and bridges, and network-level vulnerability analysis. He also serves on the Youth Editorial Board of Disaster Prevention and Resilience. SHORT CV BLASI: Dr Blasi is Assistant Professor of Structural Engineering at the University of Salento (Department of Engineering for Innovation). His work focuses on seismic response of civil structures and non-structural components, risk analysis and mitigation for existing bridges, the effects of material degradation on structural performance, and innovative, sustainable materials and strengthening systems. He has contributed to many national projects, most notably CN MOST, DPC-ReLUIS, CADS, ENRICH) and guideline committees (ReLUIS, CNR). Part 1: Degradation of assets in civil infrastructures •Structural degradation phenomena •Effect of degradation on structural performance •Stochastic and deterministic approaches for degradation evolution assessment Part 2: Functionality loss and retrofitting methods •Simplified and advanced functionality loss analyses •State-of-art materials and techniques for retrofit •Retrofit and strengthening interventions for existing bridges •Resilience assessment at local level Part 3: Modelling performance evolution over time •Modelling structural degradation •Modelling retrofit interventions •Practical application Part 4: Vibration-Based Structural Health Monitoring •Scope of Vibration-based SHM. Differences between SHM and NDT. •Basic knowledge and history of vibration-based SHM. Terminology. •Monitoring sensors and typology Part 5: Damage-Sensitive Features •Definition of damage-sensitive features (DSFs). •Criteria for feature selection. •Frequency Response Functions and their uses Part 6: Artificial Intelligence for SHM •Key concepts of Statistical Pattern Recognition. •Introduction to AI and Machine Learning for Vibration-based SHM. •Anomaly detection and higher-level damage diagnosis tasks. Part 7: Introduction to the use of satellite data for SHM •State of the art and main goal of the monitoring with DinSAR data •Different type of data from satellite remote sensing •Use of the DinSAR data in the field of the structural engineering Part 8: SHM based on satellite data at both single construction and territorial levels •Use of satellite DinSAR data for the purpose of SHM at territorial scale •Use of satellite DinSAR data for the purpose of SHM at single construction scale •Correlation between SAR data and damage on constructions •Applications to buildings and infrastructures Part 9: Network resilience assessment •Literature review on network resilience assessment •Identification of parameters related to networks resilience •Resilience models and analysis at network level •Impact of the retrofit strategies on the resilience at network level

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P.D.2-2 - Settembre