JCSHM Special Edition Call for Papers on “Structural Health Monitoring (SHM) of High-rise Buildings and Spatial Structures”

Dear Colleagues,

We are pleased to announce the launch of a Special Issue in Journal of Civil Structural Health Monitoring (JCSHM), which is an SCI-indexed journal. This Special Issue focuses on “Structural Health Monitoring (SHM) of High-rise Buildings and Spatial Structures”. The past two decades have witnessed that SHM can provide authentic data of loading, environmental effects, structural performance and conditions without scaling and modelling errors. These data are greatly beneficial to (1) the validation of design methodologies and theoretical/numerical models, as well as the understanding of the complex structural behaviors; (2) the evaluation of condition/performance of structures in terms of both post-event assessment and life-cycle analysis; and (3) the operation and management of structures, where the monitoring data can be used for structural control, informed decision making and guiding the emergency response. High-rise buildings and spatial structures especially benefit from SHM because they typically have more complex or unique structural systems and their behaviors cannot be fully predicted in the design stage. The demands for SHM of these structures are continuously growing. Recently, rapid advances in sensing technologies, machine learning/artificial intelligence and new tools for big data analytics have offered a variety of opportunities for further enhancing the capacity of SHM. The main objective of this Special Issue is to provide a forum for international researchers working on SHM to exchange information on the emerging frontiers of research activities and discuss the potentials of new technologies and future directions, to better inform the wider community of researchers and practitioners. This Special Issue aims at synthesizing the state-of-the-art SHM techniques for high-rise buildings and spatial structures and will cover a broad range of topics, including full-scale monitoring, experimental studies, development of novel diagnostic and prognostic methods, etc. Emerging technologies in these areas are especially welcome. Papers are invited on topics including but not limited to:

  • New sensing technologies, including robotics, computer vision, etc.;
  • Artificial intelligence and machine learning-based SHM methodologies;
  • SHM-oriented big data analytics;
  • Digital twin technology;
  • Validation of design methodologies or theoretical models;
  • Performance/condition assessment and forecasting;
  • Uncertainty quantification in SHM;
  • Application of SHM in resilience planning.

The deadline for full paper submission is June 22nd, 2020. Authors will be required to explain the novelty contained in the paper in their cover letter during submission. Purely theoretical or numerical investigations without verification using field or experimental data are not accepted for publication in JCSHM.

Guest Editors:

Dr. Yi-Qing Ni                                               Dr. Yanlin GuoChair Professor                                             Assistant Professor
Department of Civil &     Department of Civil &
Environmental  Engineering                      Environmental Engineering
Hong Kong Polytechnic University          Colorado State University
Hung Hom, Kowloon, Hong Kong            Fort Collins, Colorado, USA
Email: ceyqni@polyu.edu.hk                     Email: Yanlin.Guo@colostate.edu


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