Journal of Civil Structural Health Monitoring - Special Issue: Recent Developments in Digital Transformation and Intelligent Infrastructure in Australia for Structural Health Monitoring
Guest Editors:
Prof. Xinqun Zhu, University of Technology Sydney, Australia
Prof. Jianchun Li, University of Technology Sydney, Australia
Prof. Tommy Chan, Queensland University of Technology, Australia
Submission Status: Open | Submission deadline: 31 October 2024
Description
Digital transformation and intelligent infrastructure provide the key for better services to our growing communities, boosting economy-wide productivity and competitiveness, embedding reliability and resilience for a changing climate, and achieving an orderly and efficient transition to Net Zero. These technologies are incorporated in the latest developments of structural health monitoring (SHM) that utilises technology enablers such as IoT, data science, robotics, remote sensing, and structural engineering. These enablers can provide quality, efficient and risk-free resources to construction industry for building new infrastructure as well as offer sustainable, reliable, and cost-effective, risk-transparent asset management for the infrastructure operation and maintenance. It can also be used to extend the service life of existing infrastructure with high confidence on safety and operational efficiency. The special issue aims to capture latest Australian research, developments, and practical applications in these fields.
This special issue will cover the latest research and development in all areas of advanced infrastructure monitoring and practical applications in Australia. Topics of interest include but are not limited to:
- Advanced sensing technology for structural health monitoring
- Advanced signal processing for structural health monitoring
- Applications of deep learning in structural health monitoring
- Value of information from structural health monitoring
- Case studies of structural health monitoring
The special issue in invitation only.
Submission guidelines
All papers must be prepared in accordance with the Instructions for Authors at: https://link.springer.com/journal/13349/submission-guidelines (this opens in a new tab).
Articles for this special issue should be submitted via our submission system Editorial Manager (this opens in a new tab). During the submission process you will be asked whether you are submitting to a special issue, please select "Recent Developments in Digital Transformation and Intelligent Infrastructure in Australia for Structural Health Monitoring" from the dropdown menu.
Submitted papers should present original, unpublished work, relevant to one of the topics of the Special Issue. 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 Editor-in-Chief.
Meet the Guest Editors
Xinqun Zhu is an Associate Professor in Structural Engineering at University of Technology Sydney (UTS). He is an expert on structural health monitoring and condition assessment, and advanced signal processing and sensor technology. He has published over 260 articles including two research books and 148 referred journal papers. His journal papers have been well-cited with a Scopus-h index of 36 and the Google Scholar h-index of 41. He is a member of the American Society of Civil Engineers (ASCE), the Executive Committee of Australian Network of Structural Health Monitoring and the Structural Health Monitoring and Control Committee in Engineering Mechanics Institute of ASCE. He is also an Associate Editor of international Journal of Advances in Structural Engineering and the Editorial Board member of another six journals.
Jianchun Li is a Professor of Structural Dynamics at University of Technology Sydney (UTS). He has expertise in the areas of smart materials and smart structures, structural control for civil engineering, damage detection, structural health monitoring, non-destructive testing and structure rehabilitation. He has published over 250 journal and conference articles including over 100 SCI journal articles. He has successfully conducted a number of projects with the funding over AU$4M, including several Discovery and Linkage Grants from Australian Research Council. He is the Vice-President and secretary of Australasia Panel of International Association for Structural Control and Monitoring (IASCM). He is also Deputy President of Australia Network for Structural Health Monitoring (ANSHM).
Tommy Chan is a Professor in Civil Engineering at Queensland University of Technology (QUT). He has been actively involved in carrying out research on bridges and Structural Health Monitoring (SHM). He has published over 390 technical articles and almost 30 years of experience in SHM of various significant long span bridges in Hong Kong and the mainland China. His research and consultancy work on the four cable supported bridges in Hong Kong could be dated back as early as since their construction. He is also a professional engineer and Fellow of IEAust and HKIE. He is the Founding Chair and President of ANSHM (the Australian Network of Structural Health Monitoring). Besides bridges and SHM, his research interests include structural dynamics, machine learning, optimization, Moving Force Identification, optical fiber sensors and Weigh-in-Motion Studies.