Research Topic

Advanced Sensing, Materials and Intelligent Algorithms for Multi-Domain Structural Health Monitoring

About this Research Topic

Structural health monitoring (SHM) is a new way of non-destructive method monitoring and evaluating the “state” of a structure by in/on structure sensing system at every moment during its life which has been widely implied in various engineering and cross-industry, including civil infrastructures, aerospace, oil and gas, railway, nuclear, and renewable energy. They can be configured in various engineering sectors due to its special capability of responding to adverse structural changes, drastically reducing inspection costs, minimizing preventative maintenance, improving structural reliability and life cycle management. Via mass SHM data processing, further efforts could be devoted to improving design-margin efficiency for lightweight structures, facilitating structural certification and/or quality assurance.

There is no doubt that SHM is the lateral integration of a variety of different disciplines in engineering science. For a comprehensive assessment of structural safety and health, the SHM system must include structural design, sensor monitoring, material application, and mass data analysis. In view of modern application scenarios with more complicated structures, kinds of new types of materials, and more complex application environments, traditional technologies are gradually facing bottlenecks. In recent years, with the emergence of new advanced physical mechanisms in sensing technology, various significant achievements on nano/smart materials and the explosion of AI algorithms have brought new possibilities and intelligent development for SHM research.

Therefore, this Research Topic is aimed for researchers to gain an in-depth understanding of novel and advanced structural health monitoring techniques involving advanced sensing system, nano/smart materials and intelligent algorithms of different applications through various cross-industry cases (civil infrastructures, aerospace, oil and gas, railway, nuclear, and renewable energy). We welcome researchers to contribute Original Research and Review papers for this Research Topic sharing the most recent ideas in the field of SHM technology. Potential topic include, but are not limited to:

• Novel point/distributed sensing technology for various engineering fields
• Advanced nanomaterial and smart functional material and their applications in SHM system.
• Intelligent algorithms, AI algorithms for data compression, mining and fusing technology
• Mathematical theories and methods for SHM system.
• Other related aspects


Keywords: structure health monitoring, sensing, smart materials, intelligent algorithms, engineering


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Structural health monitoring (SHM) is a new way of non-destructive method monitoring and evaluating the “state” of a structure by in/on structure sensing system at every moment during its life which has been widely implied in various engineering and cross-industry, including civil infrastructures, aerospace, oil and gas, railway, nuclear, and renewable energy. They can be configured in various engineering sectors due to its special capability of responding to adverse structural changes, drastically reducing inspection costs, minimizing preventative maintenance, improving structural reliability and life cycle management. Via mass SHM data processing, further efforts could be devoted to improving design-margin efficiency for lightweight structures, facilitating structural certification and/or quality assurance.

There is no doubt that SHM is the lateral integration of a variety of different disciplines in engineering science. For a comprehensive assessment of structural safety and health, the SHM system must include structural design, sensor monitoring, material application, and mass data analysis. In view of modern application scenarios with more complicated structures, kinds of new types of materials, and more complex application environments, traditional technologies are gradually facing bottlenecks. In recent years, with the emergence of new advanced physical mechanisms in sensing technology, various significant achievements on nano/smart materials and the explosion of AI algorithms have brought new possibilities and intelligent development for SHM research.

Therefore, this Research Topic is aimed for researchers to gain an in-depth understanding of novel and advanced structural health monitoring techniques involving advanced sensing system, nano/smart materials and intelligent algorithms of different applications through various cross-industry cases (civil infrastructures, aerospace, oil and gas, railway, nuclear, and renewable energy). We welcome researchers to contribute Original Research and Review papers for this Research Topic sharing the most recent ideas in the field of SHM technology. Potential topic include, but are not limited to:

• Novel point/distributed sensing technology for various engineering fields
• Advanced nanomaterial and smart functional material and their applications in SHM system.
• Intelligent algorithms, AI algorithms for data compression, mining and fusing technology
• Mathematical theories and methods for SHM system.
• Other related aspects


Keywords: structure health monitoring, sensing, smart materials, intelligent algorithms, engineering


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

10 November 2020 Abstract
10 March 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

10 November 2020 Abstract
10 March 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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