Advancing Structural Health Monitoring in AI Era
A special issue of Sensors (ISSN 1424-8220).
Deadline for manuscript submissions: 20 November 2024 | Viewed by 326
Special Issue Editors
Interests: deep learning; statistical analysis; risk assessment; decision theory; damage detection; computer vision; vibration analysis; signal process; time series
Interests: artificial intelligence; coating; sensor; signal process; climate change; renewable energy; damage detection; safety engineering
Special Issues, Collections and Topics in MDPI journals
Interests: structure engineering; seismic engineering; bridge structure; steel structure; seismic isolation; artificial intelligence; computer vision
Interests: concrete durability; reinforcement steel corrosion and prevention; coating and construction materials; sensors and structural health monitoring; safety and life-cycle assessment
Special Issues, Collections and Topics in MDPI journals
Interests: FRP-reinforced concrete; marine engineering design; high-performance fiber-reinforced cement composites; low-carbon concrete materials
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Structural Health Monitoring, a discipline traditionally characterized by periodic assessments and manual inspections, is undergoing a transformative evolution. This metamorphosis is propelled by the unparalleled capabilities of Artificial Intelligence (AI), heralding a paradigm shift in our methodologies for ensuring the safety and longevity of critical infrastructure. This preamble acts as a portal into a domain where intelligent algorithms, innovation sensor, data analytics, and real-time monitoring converge synergistically, reshaping our perceptions, analyses, and responses to structural health.
As we embark on this transformative journey, we delve into the profound interconnection between AI and structural health, unveiling the potential to proactively manage and fortify our built environment in unprecedented ways. This exploration transcends previous limits, allowing us to navigate the intricate terrain of "Advancing Structural Health Monitoring in AI Era". Here, the fusion of innovation and resilience becomes pivotal, influencing the trajectory of intelligent engineering. The marriage of AI and structural health monitoring not only heightens our capacity to detect potential issues but empowers us to address them preemptively, minimizing risks and ensuring the enduring stability of critical infrastructure. Join us in shaping the future where the dynamic interplay of innovation and resilience defines the evolution of intelligent engineering in the era of Artificial Intelligence.
This Special Issue invites contributions on the following topics (but is not limited to them):
- Innovation sensors;
- Real-time monitoring;
- Damage detection;
- Anomaly detection;
- Risk assessment;
- Resilience;
- Reliability;
- Machine learning;
- Deep learning;
- Generative AI.
Dr. Hong Pan
Dr. Zhibin Lin
Dr. Ji Dang
Dr. Fujian Tang
Dr. Qi Cao
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
- innovation sensors
- real-time monitoring
- damage detection
- anomaly detection
- risk assessment
- resilience
- reliability
- machine learning
- deep learning
- generative AI
