Selected Papers from IWSHM 2023

Dear Colleagues,

The International Workshop on Structural Health Monitoring (IWSHM) is a biennial workshop aiming to assess the current state-of-the-art technologies in the field of structural health monitoring (SHM), and to discuss and identify key breakthroughs and emerging R&D challenges that are critical to structural health monitoring.

The 14th International Workshop on Structural Health Monitoring (IWSHM) will be held on September 12-14, 2023, at Stanford University, CA. It is planning for an in-person meeting. IWSHM remains committed to providing a forum for information sharing, collaboration, and advancing research vital to our community.

The workshop features reviews of SHM growth in the last two decades and examines opportunities for future SHM research and applications. The global demands on minimizing carbon footprint and renewal energy to deal with climate change require the introduction of new materials, new energy sources, and new fabrication techniques in constructions throughout the industry, particularly in infrastructures and transportation systems. To cope with the new demands for sustainability, durability, and reliability, advanced design with built-in SHM would enable autonomous inspection and intelligent data-driven diagnostics, and preventive maintenance to meet the needs of general applications in aerospace, mechanical engineering, and civil infrastructure.

The theme of 2023 IWSHM is "Designing SHM for Sustainability, Maintainability, and Reliability." Therefore, papers related to the Integration of SHM concept in design and implementation of SHM into manufacturing and constructions are highly appreciated and interested.This workshop is also intended to promote communication exchange and cross-fertilization between multiple platforms. Technical presentations will be made by invited and selected distinguished speakers, and plenary discussions on the future directions and “road-map” will be organized. Potential applications of the techniques to military and civil structures will be discussed.

Aerospace is cooperating with IWSHM 2023. Authors of outstanding papers related to aerospace SHM presented at the Workshop are invited to submit extended versions of their work to this Special Issue for publication.

Manuscripts are sought that report new research in the field of aerospace on, but not limited to:

Sensors/Actuators

• Novel smart sensors;
• Sensors for extreme environments;
• MEMS/NEMS sensors;
• Fiber optics;
• Piezoelectric/magneto-electric sensors;
• CNT sensors.

 Aerial Sensing

• Robotic and UAV platforms for SHM and maintenance intervention.

 Sensor Networks/System Integration

• Bio-inspired sensor networks;
• Remote & wireless communication;
• Self-diagnostic networks;
• Self-configurable & fault-tolerance networks;
• Advanced manufacturing techniques;
• Sensor network reliability.

 Multifunctional Materials and Metamaterial Structures

• Multifunctional materials;
• Self-sensing materials;
• Novel energy storage systems;
• Energy harvesting and self-diagnostic structures;
• Novel composite materials.

Diagnostics/Signal Processing/State Awareness

• Advanced signal processing;
• Statistical signal processing;
• Data mining/fusion;
• Real-time diagnostics;
• System identification;
• Inverse methods;
• Big data analysis.

Prognostics/Health Management/Safety Assurance

• Remaining life estimation;
• Quality control;
• Life-cycle monitoring;
• Integrated structural health management;
• System-wide safety assurance;
• Condition assessment.

 Cyber-physical systems for aerospace SHM

• Data-driven simulations and diagnostics;
• Integration of data-driven and physics-based methods;
• Multi-physics, multi-scale modeling approaches;
• Manufacturing with sensor data;
• Multi-objective design optimization;
• SHM-based design.

Implementation/Validation/Certification

• Quantification techniques;
• Probability of detection (POD);
• Reliability methods;
• Validation/certification processes, etc.

Applications

• Application to Transportation Systems: Aircraft and space vehicles, rotorcraft, satellites, space;
• Autonomous Systems: Drones, UAVs, self-driving cars, robotics, energy management systems.

Prof. Dr. Fu-Kuo Chang
Dr. Fotis Kopsaftopoulos
Dr. Saman Farhangdoust
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. Aerospace is an international peer-reviewed open access monthly 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.

• sensors/actuators
• remote sensing/aerial sensing
• sensor networks/system integration
• multifunctional materials and structures
• diagnostics/signal processing/state awareness
• prognostics/health management/safety assurance
• cyber-physical systems for aerospace/civil SHM
• implementation/validation/certification
• applications/Industry Internet of Things (IIOT)
• advanced design with built-in SHM
• intelligent data-driven diagnostics
• preventive maintenance