Structural Health Monitoring: Advances in Monitoring, Sensing, Control, Diagnostics and Prevention

Dear Colleagues,

Structural health monitoring is essential due to the various environmental and natural problems to which buildings, bridges, dams, wind turbines, and others are exposed. Therefore, it is necessary to develop sensors that can be used for remote structural health monitoring and thus guarantee the safety and durability of critical infrastructure. Therefore, we are launching this Special Issue to showcase publications reporting on monitoring strategies, prevention systems, and sensor development in order to publicize technological advances and applications that provide solutions to enhance current knowledge in structural health monitoring.

Therefore, we invite you to submit manuscripts and contribute to this Specia Issue to share the results of your cutting-edge research in structural health monitoring applied in various areas of engineering. Full papers, communications, and reviews are welcome to be submitted.

This Special Issue aims to highlight the progress made in structural health monitoring by investigating new configurations and methods for measuring parameters that require continuous monitoring in the area of construction.

All manuscripts related to structural heath monitoring, that propose novel measurement methods for monitoring structural health in case studies, field validations, and new standards, could help to generate fundamental solutions for disaster prevention.

This Special Issue is focused on the following fiber optic sensor topics:

• Civil engineering (concrete or steel structures, materials, foundations).
• Optics and photonics (fiber optic sensors, spectroscopy, fluorescence).
• Artificial intelligence and big data (data analysis, predictive models).
• Electronics (remote precision instrumentation).
• Control (management and optimization).
• Automation (data capture, processing, and analysis).
• Diagnostics (detection and classification).

• Civil Engineering:
  • cracking and deformation monitoring in beams, slabs, columns, and steel;
  • steel corrosion assessment;
  • monitoring of carbonation processes and chloride penetration;
  • measuring differential settlements in foundations;
  • use of sensors embedded in concrete for real-time monitoring;
  • vibrations and dynamic loads;
  • ultrasonic and acoustic emission sensors.

• Optics and Photonics:
  • fiber Bragg grating (FBG) sensors;
  • fiber optic interferometers (Fabry–Pérot, Mach–Zehnder, Michelson, Sagnac);
  • Raman, Brillouin, and Rayleigh scattering sensors;
  • fluorescence and chemiluminescence sensors.

• Artificial Intelligence and BGI Data:
  • big data in structural monitoring;
  • real-time data processing in structural monitoring;
  • massive structural data analysis;
  • data mining for damage pattern detection;
  • IoT infrastructure for structural monitoring;
  • cloud computing in structural monitoring;
  • advanced statistical analysis for structural monitoring.

• Electronics:
  • mems accelerometers in structural monitoring;
  • strain gauges in structures;
  • ultrasonic and acoustic emission sensors for crack detection;
  • corrosion sensors in concrete and metallic structures;
  • analog-to-digital conversion (ADC) in structural sensors;
  • microcontrollers and embedded systems in structural monitoring;
  • structural signal processing;
  • low-power electronics in structural monitoring.

• Control:
  • smart sensors;
  • predictive models;
  • feedback systems;
  • adaptive control.

• Automation:
  • embedded sensors and IoT;
  • wireless communication networks;
  • use of drones and robots for automated structural inspection;
  • early warning systems;
  • data analysis platforms.

• Diagnostics:
  • detection models based on artificial intelligence and machine learning;
  • multivariate data analysis;
  • numerical modeling and simulations;
  • signal processing techniques and spectral analysis.

Dr. Jorge Luis Camas-Anzueto
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• cracking and deformation monitoring
• steel corrosion assessment
• ultrasonic and acoustic emission sensors
• fiber Bragg grating (FBG) sensors
• fiber optic interferometers
• Raman, Brillouin, and Rayleigh scattering sensors
• fluorescence and chemiluminescence sensors
• structural monitoring
• massive structural data analysis
• crack detection
• structural signal processing