About this Collection:
Bridge construction has rapidly increased worldwide since the last century. Bridges with varied forms and lengths have stridden across the deep valleys, wide rivers, and even oceans. Their operating environments vary from tropical to frigid zones, and from mountain areas to coastal regions. How to evaluate the health state and mechanical performance of a bridge has become a great challenge for the management and maintenance departments. To address such ill-posed and inverse problems, structural health monitoring (SHM) theories and practices have explosively developed in the last forty years. With the progress in sensing techniques and intelligence algorithms, especially the machine learning methodology, there are many successful engineering applications in SHM community. However, the deficiency of observation and diversity of potential damages have both impeded many theoretically-matured approaches from being applied to in-field bridges. Thus, monitoring and assessing the bridge state is still an open problem worldwide. To this end, recent progress related to bridge SHM and performance assessment is included in this specific issue.
Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies, including those pertaining to Collections. Articles will be added to the Collection as they are published.
Guest editors:
Lead Guest Editors:
Limin Sun, Department of Bridge Engineering, Tongji University, China
lmsun@tongji.edu.cn
Satish Nagarajaiah, Department of Environmental and Civil Engineering, Rice University, USA
Satish.Nagarajaiah@rice.edu
Guest Editors:
Tomonori Nagayama, Department of Civil Engineering, The University of Tokyo, Japan
nagayama@bridge.t.u-tokyo.ac.jp
Elsa Caetano, Department of Civil Engineering, Universidade of Porto, Portugues
ecaetano@fe.up.pt
Ye Xia, Department of Bridge Engineering, Tongji University, China
yxia@tongji.edu.cn
Yixian Li, Department of Civil and Environmental Engineering, the Hong Kong Polytechnic University; Department of Bridge Engineering, Tongji University, China
liyixian@tongji.edu.cn