Aims and scope
The Journal of Civil Structural Health Monitoring (JCSHM) publishes articles to advance the understanding and application of health monitoring methods for the condition assessment and management of civil infrastructure systems. JCSHM is the flagship journal published in cooperation with the Society for Civil Structural Health Monitoring, sharing knowledge and experience in methodologies and technologies impacting the discipline of Civil Structural Health Monitoring, especially regarding condition assessments, forensic analysis, sensor-based strategies for monitoring, load capacity ratings, and service life estimations.
Many challenges are involved in the cost-effective use of Structural Health Monitoring techniques in civil infrastructure systems, especially for their life-cycle management. In addition to economic considerations, an effective structural health monitoring program requires interdisciplinary expertise for using and installing sensors, data acquisition and management, and appropriate diagnostic methods for condition assessment of structural systems.
JCSHM is the forum to address these issues with the specific objective of providing innovative interdisciplinary solutions. Recent articles in JCSHM have provided information about using practical techniques for monitoring bridges, buildings, pipelines, dams, railways, heritage structures, and tunnels. JCSHM provides a unique resource serving the researchers, practitioners, and owners of infrastructures.
We invite original articles that contribute to advancing the field of diagnostics and prognostics for civil infrastructure systems. Papers applying structural health monitoring principles to civil structures are particularly valuable, whether they demonstrate successful implementation or provide lessons learned. In contrast to pure science, engineering involves taking ideas, turning them into practical solutions, and deploying them in real-world scenarios. Therefore, we do not accept purely theoretical or numerical submissions that lack real-world field applications or laboratory validations and assessments of structures. Mere utilization of technologies without a methodical analysis and interpretation of the results will not meet our publication criteria for the journal.
Review and state-of-the-art manuscripts are welcomed from experts in the subject areas of interest to JCSHM, considering their expertise as evidenced by their publications and experience.
Machine Learning (ML) Please note that while we welcome submissions that incorporate machine learning techniques for the advancement of diagnostics and prognostics in civil infrastructure systems, JCSHM places a strong emphasis on the practical application and experimental validation of such approaches. We encourage authors to explore the contextualized machine learning algorithms and complement their research with rigorous field experiments or laboratory validations.
Special Issues Potential guest editors should contact the editor-in-chief, Prof. Farhad Ansari (fansari@uic.edu), with their proposal idea to ensure it is relevant and has space in the publication schedule for the Special issue.