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ISSN (online): 2412-3811
Journal Sheet: Infrastructures

Call of the Journal:


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- Advances in Structural Dynamics and Earthquake Engineering

- Advances in the Management and Application of Construction and Demolition Waste

- Agricultural Infrastructure

- Application of Artificial Intelligence to Model the Behavior of Infrastructure

- Application of Machine Learning and Artificial Intelligence in NDE and Structural Health Monitoring of Civil Infrastructures

- Big Data Analysis and Visualization in Transport Infrastructure | Challenges for Operations, Control, and Planning

- Critical Infrastructure Resilience Facing Extreme Weather Events

- Designing and Managing the Next Generation of Transportation Infrastructure

- Durability of Concrete Infrastructure

- Innovative Practices into Road Pavement Maintenance Management

- Inspection, Assessment and Retrofit of Transport Infrastructure

- Neural Networks in Land Transport, Vehicle and Railway Engineering

- Non-destructive Testing and Evaluation for Civil Infrastructures

- Pavement Management | Inspection and Life-Cycle Assessment

- Pedestrian and Bicycle Mobility in the Future Cities of the World | Between Adapting Infrastructure and Changing Behavior

- Rail Infrastructures

- Reliability and Durability of Pipelines

- Remote Sensing and Infrastructure Information Models | Methods, Applications and Smart Management of Infrastructure Data

- Research and Developments in Pavements

- Resilient and Smart Transport Infrastructure for Connected and Autonomous Vehicles

- Reusing, Recycling and Repurposing Infrastructure | Components and Construction Materials

- Road and Rail Infrastructures

- Seismic Reliability Assessment and Advances in Structural Modelling

- Selected Papers from the 8th Civil Structural Health Monitoring Workshop

- Smart Infrastructures

- Smart Materials for Sustainable Infrastructures

- Smart, Sustainable and Resilient Infrastructures

- Structural Assessment and Health Monitoring of Infrastructures

- Structural Health Monitoring of Civil Infrastructures

- Structural Performances of Bridges

- Sustainability of Building Materials and Structures

- Sustainability of Concrete Infrastructures | New Applications, Monitoring and Retrofitting

- Ultra-High Performance Concrete (UHPC)

- Underground Infrastructure Engineering

Year of the Pubblication: 2021
01
Oct
2021
Paper Submission Deadline
30
Nov
2021
Publishing Date

Add to Calendar 10/01/2021 08:00 Europe/Rome Structural Health Monitoring of Civil Infrastructures

Timely detection of damage is critical to ensuring the safe operation of bridges, wind turbines, and civil infrastructures more generally, allowing early warnings to be issued and to avoid significant life, economic, and secondary losses. Moreover, monitoring can provide relevant information for structural management and maintenance. While two dominant competing philosophies for civil Structural Health Monitoring (SHM) have emerged in the last decades (data driven vs. model-based approaches), several aspects are still worthy of investigation, including the selection of effective damage features and their automatic extraction from response measurements as well as sensitivity to environmental and operational factors, the appropriate setting of statistical models and thresholds in data-driven approaches, the role of system identification and model updating for damage assessment, the optimization techniques to use for a reliable solution of the inverse problem, the prediction of the remaining useful life of structures, and the support to decision making. The goal of this Special Issue is to discuss the latest achievements in the field of data processing procedures for SHM of civil infrastructures, and multidisciplinary contributions are especially encouraged. Potential topics for submissions include but are not limited to: Optimal sensor layout and automated damage feature extraction (including automated modal parameter identification); Influence of environmental and operational variability on SHM reliability and compensation methods; Data mining and data fusion approaches for civil SHM; Damage feature selection and comparative assessment of damage sensitivity of different damage indexes; Approaches for damage detection, location, extension, and classification from response measurements; Techniques for robust solution of the inverse problem in model-based SHM techniques; Artificial intelligence in civil SHM; Comparative assessment of data-driven and model-based SHM approaches in the context of a given damage scenario; Residual life prediction; Role of SHM in decision making, including early warning, emergency management, and support to structural maintenance in service conditions.
Keywords: structural health monitoring; influence of environmental factors; damage features; inverse problems; artificial intelligence; residual life.

Switzerland
CALL FOR PAPERS
Code: CFP-I101-SI7_2022
Posting date: 20/10/2020

Structural Health Monitoring of Civil Infrastructures


Aims and Scope

Timely detection of damage is critical to ensuring the safe operation of bridges, wind turbines, and civil infrastructures more generally, allowing early warnings to be issued and to avoid significant life, economic, and secondary losses. Moreover, monitoring can provide relevant information for structural management and maintenance. While two dominant competing philosophies for civil Structural Health Monitoring (SHM) have emerged in the last decades (data driven vs. model-based approaches), several aspects are still worthy of investigation, including the selection of effective damage features and their automatic extraction from response measurements as well as sensitivity to environmental and operational factors, the appropriate setting of statistical models and thresholds in data-driven approaches, the role of system identification and model updating for damage assessment, the optimization techniques to use for a reliable solution of the inverse problem, the prediction of the remaining useful life of structures, and the support to decision making. The goal of this Special Issue is to discuss the latest achievements in the field of data processing procedures for SHM of civil infrastructures, and multidisciplinary contributions are especially encouraged. Potential topics for submissions include but are not limited to: Optimal sensor layout and automated damage feature extraction (including automated modal parameter identification); Influence of environmental and operational variability on SHM reliability and compensation methods; Data mining and data fusion approaches for civil SHM; Damage feature selection and comparative assessment of damage sensitivity of different damage indexes; Approaches for damage detection, location, extension, and classification from response measurements; Techniques for robust solution of the inverse problem in model-based SHM techniques; Artificial intelligence in civil SHM; Comparative assessment of data-driven and model-based SHM approaches in the context of a given damage scenario; Residual life prediction; Role of SHM in decision making, including early warning, emergency management, and support to structural maintenance in service conditions.
Keywords: structural health monitoring; influence of environmental factors; damage features; inverse problems; artificial intelligence; residual life.

Languages
English
Country
Switzerland
Topics
Civil Engineering, Construction Systems Engineering, Construction Technology, Data Analysis Processes, Data Management, Data Sensing and Analysis, Decision Support Systems, Dynamic Models, Earthquake Engineering, Geotechnical Engineering, ICT, Industrial Engineering, Infrastructures, Innovative Techniques, Internet of Things (IoT), Methods for Diagnostics, Monitoring, Nondestructive Tests, Performance Evaluation, Process Modeling and Simulation, Risk Management, Structural Dynamics, Structural Engineering, Urban Infrastructures
Review process
The Journal adopts double-blind peer review process
Indexed By

DOAJ, Inspec (IET), Scopus (Elsevier), CLOCKSS (Digital Archive), e-Helvetica (Swiss National Library Digital Archive), Google Scholar, J-Gate (Informatics India), ProQuest Central (ProQuest), Science In Context (Gale/Cengage Learning).

APC

Info at: www.mdpi.com/journal/infrastructures/apc

Submit by website
Call webpage
Additional Notice from the Editor

Guest Editors
Dr. Carlo Rainieri
Dr. Andy Nguyen
Dr. You Dong
Dr. Dmitri Tcherniak