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Feature Papers in Physical Sensors 2025
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Feature Papers in Physical Sensors 2025

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 4628

Special Issue Editors

Dr. Guillermo Villanueva

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Guest Editor
Mechanical Engineering Institute, École Polytechnique Fédérale de Lausanne (EPFL), Route Cantonale, 1015 Lausanne, Switzerland
Interests: MEMS; NEMS; piezoelectric transduction; resonators; nonlinearity; 2D materials
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Sabina Merlo

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Guest Editor
Dipartimento di Ingegneria Industriale e dell\'Informazione, Università degli Studi di Pavia, 27100 Pavia, Italy
Interests: MEMS; MOEMS; optical sensors; interferometry; microphotonics; biophotonics; biosensors; lab on a chip
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Nunzio Cennamo

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Guest Editor
Department of Engineering, University of Campania Luigi Vanvitelli, Via Roma 29, 81031 Aversa, Italy
Interests: optical sensors; biosensors and chemical sensors; optical fiber sensors and optoelectronic devices
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Aldo Minardo

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Guest Editor
Department of Engineering, University of Campania "Luigi Vanvitelli", 81031 Aversa, Italy
Interests: distributed optical fiber sensors; strain sensors; signal processing
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Dr. Cosimo Trono

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Guest Editor
“Nello Carrara” Institute of Applied Physics, IFAC-CNR, Via Madonna del Piano 10, I-50019 Firenze, Italy
Interests: optics; optical sensors; fibre optic sensors; point of care testing (POCT)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce that the Physical Sensors Section is currently compiling a collection of papers submitted exclusively by Editorial Board Members (EBMs) of our section and outstanding scholars in this research field.

The purpose of this Special Issue is to publish a set of insightful, influential, and original articles or reviews in which our Section’s EBMs discuss key topics in the field. We expect these papers to be widely read and highly influential within the field. All papers in this Special Issue will be collected in a printed book after the deadline and widely promoted.

We would also like to take this opportunity to call on the most accomplished scholars to join the Physical Sensors Section so that we may reach even more milestones together.

Dr. Guillermo Villanueva
Prof. Dr. Sabina Merlo
Prof. Dr. Nunzio Cennamo
Prof. Dr. Aldo Minardo
Dr. Cosimo Trono
Guest Editors

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. Sensors 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 2600 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.

Keywords

  • acoustic, sound, vibration:
  • geophone
  • hydrophone
  • microphone
  • seismometer
  • sound locator
  • ultrasonic sensors electric current, electric potential, magnetic, radio:
  • current sensor
  • hall effect sensor
  • magnetic anomaly detector
  • magnetometer
  • magnetoresistance
  • MEMS magnetic field sensor
  • planar hall sensor
  • radio direction finder
  • voltage detector pressure, force, density, level:
  • pressure sensor
  • tactile sensor
  • force gauge and force sensor
  • level sensor
  • piezocapacitive pressure sensor
  • piezoelectric sensor
  • torque sensor thermal, heat, temperature:
  • microwave radiometer
  • infrared thermometer
  • special sensor microwave/imager mechanical:
  • mechanical sensors, transducers and actuators
  • flexible mechanical sensors proximity, presence
  • alarm sensor
  • motion detector
  • proximity sensor
  • infrared sensor triangulation sensor position, angle, displacement, distance, speed, acceleration
  • accelerometer
  • capacitive displacement sensor
  • capacitive sensing
  • piezoelectric accelerometer
  • position sensor
  • angular rate sensor
  • motion sensor
  • tilt sensor
  • tachometer
  • ultrasonic thickness gauge
  • variable reluctance sensor
  • speed sensor others
  • quantum sensor
  • sensor array
  • underwater sensors
  • MEMS sensors

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

Published Papers (2 papers)

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Research

19 pages, 4767 KiB  
Article
Risk Mitigation of a Heritage Bridge Using Noninvasive Sensors
by Ricky W. K. Chan and Takahiro Iwata
Sensors 2025, 25(12), 3727; https://doi.org/10.3390/s25123727 - 14 Jun 2025
Viewed by 199
Abstract
Bridges are fundamental components of transportation infrastructure, facilitating the efficient movement of people and goods. However, the conservation of heritage bridges introduces additional challenges, encompassing environmental, social, cultural, and economic dimensions of sustainability. This study investigates risk mitigation strategies for a heritage-listed, 120-year-old [...] Read more.
Bridges are fundamental components of transportation infrastructure, facilitating the efficient movement of people and goods. However, the conservation of heritage bridges introduces additional challenges, encompassing environmental, social, cultural, and economic dimensions of sustainability. This study investigates risk mitigation strategies for a heritage-listed, 120-year-old reinforced concrete bridge in Australia—one of the nation’s earliest examples of reinforced concrete construction, which remains operational today. The structure faces multiple risks, including passage of overweight vehicles, environmental degradation, progressive crack development due to traffic loading, and potential foundation scouring from an adjacent stream. Due to the heritage status and associated legal constraints, only non-invasive testing methods were employed. Ambient vibration testing was conducted to identify the bridge’s dynamic characteristics under normal traffic conditions, complemented by non-contact displacement monitoring using laser distance sensors. A digital twin structural model was subsequently developed and validated against field data. This model enabled the execution of various “what-if” simulations, including passage of overweight vehicles and loss of foundation due to scouring, providing quantitative assessments of potential risk scenarios. Drawing on insights gained from the case study, the article proposes a six-phase Incident Response Framework tailored for heritage bridge management. This comprehensive framework incorporates remote sensing technologies for incident detection, digital twin-based structural assessment, damage containment and mitigation protocols, recovery planning, and documentation to prevent recurrence—thus supporting the long-term preservation and functionality of heritage bridge assets. Full article
(This article belongs to the Special Issue Feature Papers in Physical Sensors 2025)
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20 pages, 9505 KiB  
Article
ARMA Model for Tracking Accelerated Corrosion Damage in a Steel Beam
by Sina Zolfagharysaravi, Denis Bogomolov, Camilla Bahia Larocca, Federica Zonzini, Lorenzo Mistral Peppi, Marco Lovecchio, Luca De Marchi and Alessandro Marzani
Sensors 2025, 25(8), 2384; https://doi.org/10.3390/s25082384 - 9 Apr 2025
Viewed by 2173
Abstract
This paper proposes an enhanced vibration-based damage detection index leveraging autoregressive moving average (ARMA) time-series modeling. The method relies on the fact that material deterioration alters the vibration features of the structure. Thus, the proposed method employs an innovative usage of the ARMA [...] Read more.
This paper proposes an enhanced vibration-based damage detection index leveraging autoregressive moving average (ARMA) time-series modeling. The method relies on the fact that material deterioration alters the vibration features of the structure. Thus, the proposed method employs an innovative usage of the ARMA time-series modeling to capture subtle shifts in the vibration response. Specifically, first, a reference ARMA model is fitted on the acceleration response of the undamaged structure. Next, a damage index (DI) is built from the goodness of fit between predicted responses from the reference ARMA model and the actual measured damaged-state acceleration data. Experimental validation was conducted on a steel beam subjected to a controlled accelerated corrosion (up to 40% thickness loss), simulating real-world degradation. Accelerations due to quick-release tests were collected using two accelerometers, along with thickness measurements providing ground-truth damage progression. Results demonstrate that the proposed method can provide sufficient sensitivity in detecting early-stage corrosion progression. This finding highlights the proposed usage of ARMA model’s potential for early structural damage detection, offering significant advantages for safety and maintenance strategies in civil engineering applications. Full article
(This article belongs to the Special Issue Feature Papers in Physical Sensors 2025)
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