Call for Abstracts

The abstract submission phase for the SHMII-13 conference is now open

• We look forward to receiving your contribution
• Submitted contributions will be peer-reviewed
• All accepted papers from the conference will be published as open access and with a DOI number
• In addition, a selection of the best papers will be published in the Journal of Civil Structural Health Monitoring (JCSHM)
• Deadline for abstract submission: 10 December 2024 => Extended until January 10th 2025
• Abstracts are limited to 1500 characters (including spaces) without figures
• No template is needed for abstract submission. Abstracts can be directly entered online
• Please submit your abstract here

Abstracts can be submitted in one of the general topics of the conference:

• Advanced sensing approaches
• Data processing (issues and solutions)
• Data interpretation, visualisation and assessment
• SHM based Life Cycle Assessment
• Field applications

or to one of the special sessions of the conference:

• Structural Health Monitoring of Intelligent Civil Infrastructure using Fibre Optic Sensing Session Chairs: Xiao Tan, Kun Feng, Zhenkun Li, Li Ai, Myra Lydon, Jennifer Schooling
• Structural Health Monitoring of Transport Infrastructures using Drive-by Monitoring Session Chairs: Kun Feng, Zhenkun Li, Jiantao Li, Arturo González, Weiwei Lin, Xinqun Zhu
• Point cloud data applications to evaluate structural conditions and performances Session Chairs: Mayuko Nishio, Yasunori Miyamori
• Intelligent sensing and safety assessment of Bridge cluster service performance Session Chairs: Shunlong Li, Yapeng Guo, Hongtao Cui
• Smart Sensing and Artificial Intelligence for Advanced Civil Infrastructure Monitoring and Management Session Chairs: Yuguang Fu, Jian Li, Patrick Sun, Xiao Liang
• Smart Sensing Enhanced Resilient Civil Infrastructures Session Session Chairs: Jingkang Shi, Dongming Zhang, Hongwei Huang, Zili Li
• Population Based Structural Health Monitoring (PBSHM) Session Chairs: David Hester, Su Taylor
• Field measurement for geostructures and ground-structure interaction Session Chairs: Josep Raventos
• Engineering Applications of Artificial intelligence for SHM Session Chairs: Tomasz Owerko, Karolina Tomaszkiewicz
• Advancements in vibration-based bridge health monitoring Session Chairs: Carlo Rainieri, Piervincenzo Rizzo, Carmelo Gentile
• SHM in the frame of a Digital Twin in Civil Engineering Session Chairs: Christian Grosse
• The SCSHM Benchmark bridge: first studies and results Session Chairs: Maria Pina Limongelli, Douglas Thomson, Sreenivas Alampalli
• Condition assessment and monitoring of civil infrastructure using smartphones Session Chairs: Eloi Figueiredo, Ekin Ozer, Jan Winkler, Rolands Kromanis
• Computer vision-based SHM Session Chairs: Rolands Kromanis, Necati Catbas
• Forensic Analysis of Structures through Image Processing (FASIP) Session Chairs: Afaq Ahmad, Vagelis Plevris, Junaid Mir
• Implementing Structural Monitoring in daily practice: Challenges and Solutions Session Chairs: Falk Hille, Frank Lehmann
• International SHM Standards and Guidelines Session Chairs: Frank Lehmann, Falk Hille
• High-Performance Building Materials and their applications in rehabilitation and monitoring Session Chair: Avik Kumar
• Interdisciplinary Applications of Multi-Component Observations for Structural Health Monitoring Session Chairs: Anjali Dhabu, Marco Dominguez-Bureos, Felix Bernauer
• Advanced Geospatial and Engineering Surveying Solutions for Infrastructure Health Monitoring Session Chairs: Craig Hancock, Panos Psimoulis, Florian Schill, Henny Mills
• Digital Twin and AI-Based Condition Assessment of Girder Bridges Session Chairs: Patrícia Vaňová, Zhen Sun, Elsa Caetano
• Field applications of SHM to extend the lifespan of railway bridges Session Chair: Sonja Dallinger
• Geophysical monitoring of infrastructure Session Chair: Michael Brehm
• Bridge Model Calibration and Validation Using Structural Health Monitoring Data Session Chairs: Ivan Duvnjak, Petra Triller, Maja Kreslin, Mirko Kosič, Andrej Anžlin, Doron Hekič, Suzana Ereiz