Journal of Building Pathology and Rehabilitation - Call for Papers - Monitoring Approaches for Resilient Structures
Guest Editors Dr. MaurizioMorgese, Rutgers, The State University of New Jersey, USA Prof. Marco Domaneschi, Politecnico di Torino, Italy Prof. Necati Catbas, University of Central Florida, USA
Submission status: Open | Submission deadline: 31 December 2024
Description The resilience of the built environment in operational conditions can be significantly improved through the assessment of structural performance. Sensor-based Structural Health Monitoring (SHM) plays a crucial role in evaluating vulnerabilities of infrastructure and determining their ability to adapt to new load conditions, especially after extreme events. Moreover, there is a growing demand for standardized methods in sensor-based infrastructural assessments to extend live cycles and prepare for extreme events. Several monitoring methods employ various types of sensors, such as acoustic sensors, accelerometers, distributed fiber optics among others, to track both local and global performance characteristics in order to provide valuable insights into structural damages and ensure resilient infrastructures. Finally, data analytics and decision making remains critical for ensuring the resilience of structures.
This Topical Collection aims to address these needs, explore innovative approaches and techniques for enhancing resilience through SHM under operational conditions. It contains high-quality articles to advance the understanding, knowledge, and application of SHM methods, ultimately contributing to the development of more resilient and sustainable structural systems, including bridges, buildings, pipes, dams, transportation infrastructures, and others.
The main topics encompassed, but are not limited to sensor-based SHM methods for resilient and sustainable structures and infrastructures:
SHM methods in operational conditions for resilient structural systems
performance-based structural evaluation involving SHM data
optimized sensor placement to improve the structural assessment
other monitoring technologies such as remote sensing, robotics, UAVs
minimized recovery time by automated damage feature extraction
SHM digital and data-driven approaches
damage detection and quantification based on theoretical methods
resilient structures and data analytics (deep learning, machine learning, AI)
environmental and operational fluctuations on the reliability of SHM and compensation methods
prognosis and remaining life prediction (e.g., theoretical and AI predictive algorithms)
SHM for early warning and emergency management
SHM and resiliency with socio-economic recovery objectives
Please indicate in your cover letter that you wish your manuscript to be considered for the Topical Collection on Monitoring Approaches for Resilient Structures.
Submitted papers should present original, unpublished work, relevant to one of the topics of the Topical Collection. All papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation by at least two reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. Final decisions on all papers are made by the Editors-in-Chief.
Meet the Guest Editors
Maurizio Morgese's research interests aim at sensor-based Structural Health Monitoring for the assessment of new and existing structures. Experienced in Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT) with a background in lab and filed installations of discrete/distributed sensors and coordination of static/dynamic tests. Maurizio Morgese research includes the study of analytical methods that involves corrosion, fatigue, and traffic models for examination of the remaining service life of existing structures. His major contribution in this area has been the analysis of the collapse of the Morandi’s bridge (Genoa, Italy). The research has provided a valuable approach for estimation of remaining service life and prediction of collapse time of infrastructures. His studies have moved thorough to the development of analytical and computational methods for damage assessment on concrete and steel structural members employing distributed fiber optic sensors and digital image correlation. Currently, his work is focused on the structural health monitoring with distributed Brillouin scattering fiber optic sensors. The analysis employs supervised and unsupervised statistical learning algorithms for damage assessment in structures. Also, the dynamic behavior of damages and bridge modal information are estimated involving distributed fiber optic sensors, FBG crack sensors, and classic accelerometers.
Marco Domaneschi graduated from the University of Pavia in Civil Engineering in 1998, specialized with a scholarship in Structural Control and Health Monitoring at the UPC in Barcelona in 1999. Professional structural engineer and consultant for dams, tunneling and special structures (3 years), consultant in mechanical and computational engineering for the piping industry (8 years). He obtained his Ph.D. in Civil Eng. at the University of Pavia with a scholarship in 2006. He was Research Associate and Professor with contract in Structural Engineering courses at Politecnico di Milano (2007-2016). He has taught more than 6 different courses in structural mechanics, structural engineering and earthquake engineering at undergraduate and graduate level at Politecnico di Milano and Torino in 2013-2022. National Academic Qualification as Associate Prof. of Structural Eng. (2017). He is currently an Assistant Professor at DISEG of Politecnico di Torino, where he is the main teacher of Earthquake Engineering and Structural Design courses (from 2016). He is Associate Editor and editorial board member of several journals. He is a reviewer for more than 40 international journals. He has been a speaker, sessions chair, editorial board member and organizer in more than 20 international conferences. He owns granted patents for industrial inventions. He received the Takuji Kobori Prize 2014 and other awards for research studies in structural engineering, monitoring and control. He does have scientific responsibility and participates in commercial and EU funded research programs. He is the author of more than 70 journal articles and 130 international conference papers, 1 book and several book chapters.
F. Necati Catbas is Lockheed Martin St. Laurent Professor at the Civil, Environmental and Construction Engineering Department of the University of Central Florida (UCF) and the Founding Director of CITRS (Civil Infrastructure Technologies for Resilience and Safety). Dr. Catbas’ research interests span theoretical, experimental and applied aspects of structural identification, structural health monitoring, non-destructive evaluation, condition assessment of structural systems and earthquake engineering with applications on structures such as bridges, buildings, aerospace structures and components, stadium structures. He is in the editorial board of several journals, including Associate Editor for the ASCE Journal of Structural Engineering, Handling Editor for Journal of the Transportation Research Board (TRR), the Structure and Infrastructure Engineering Journal. He served in the Executive Board of Society for Experimental Mechanics (SEM), served as the Chair of the ASCE Structural Identification Technical Committee, among others. Dr. Catbas received several awards and honors for his research, teaching and service activities, such as Aftab Mufti Medal from International Society for Structural Health Monitoring of Intelligent Infrastructure, Kikuchi-Karlaftis Award from Transportation Research Board. Dr. Catbas is a registered professional engineer in the State of Florida, and he is an elected Fellow of the ASCE and Fellow of the SEI.
