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2017 IWSHM Special Sessions


Please click on the corresponding title of each Special Session to get more information.


Sensors/Actuators

SHM within Harsh Extreme Environments Prof. Debbie G. Senesky and Prof. Haiying Huang

Sensor Networks/System Integration

Distributed and Quasi-distributed Fiber-optic and Electrical Sensors, and Associated Data Analysis and Management Prof. Branko Glisic and Prof. Daniele Zonta
Flexible Hybrid Electronics for SHM Dr. Jeong-Beom Ihn

Multifunctional Materials and Structures

Multifunctional Materials Prof. Kenneth J. Loh and Prof. Donghyeon Ryu

Diagnostics/Signal Processing/State Awareness

Signal Processing for Health Monitoring of Structural and Biological Systems Prof. Ying Zhang and Prof. Jinying Zhu
Guided Waves in Structures for SHM Prof. Wieslaw Ostachowicz
Tomographic Methods for Spatial Sensing Prof. Kenneth J. Loh and Prof. Tyler N. Tallman
Recent Advances in Ultrasonics and Acoustic Emission Techniques
for SHM/NDE		 Prof. Salvatore Salamone
Vision-based Studies for Structural Health Monitoring Prof. Mohammad Jahanshahi
Probabilistic SHM Prof. Daniele Zonta and Prof. Branko Glisic
Acoustic Emission and Hybrid SHM Prof. Victor Giurgiutiu

Prognostics/Health Management/Safety Assurance

Diagnostics and Prognostics of Composite Structures
Towards a Condition-based Maintenance Framework		 Prof. Dimitrios Zarouchas and Prof. Theodoros Loutas
Assessment of the Value of SHM Information Prof. Sebastian Thöns, Prof. Michael D. Todd and Prof. Maria Pina Limongelli

Implementation/Validation/Certification

Integration and Certification of SHM Technologies for Aircraft Applications HMM Senior Expert: Matthias Buderath

Applications/Internet of Things (IOT)

SHM Technology in Wind Turbines Prof. Wieslaw Ostachowicz
SHM Applications to Medical Devices and Biological Systems Prof. Nathan Salowitz and Dr. Liming Salvino
Seismic Structural Health Monitoring for Civil Structures Prof. Maria Pina Limongelli and Mr. Mehmet Celebi
Structural Health Monitoring of High-speed and Intercity Railways Prof. Yi-Qing Ni and Prof. Chung-Yue Wang
Dynamic Data Driven Applications Systems (DDDAS) Dr. Erik Blasch and Prof. Fu-Kuo Chang

Guided Waves in Structures for SHM

Organizer: Prof. Wieslaw Ostachowicz

Key words: sensors, sensing, SHM, damage detection, signal processing

Scope of Session

The session covers the main disciplines which are based on guided waves propagations in both isotropic and anisotropic materials. Authors are encouraged to submit papers that include the elastic waves propagation phenomenon which span a wide range from linear and non–linear, 1D, 2D and 3D, time or frequency, experimental and numerical approaches in complementary investigations of structures. The proposed novel techniques should allow to perform efficient both local and global SHM technologies. Considered above investigations are intended to develop variety of techniques being related to diagnostics (damage size estimation and damage type recognition) and prognostics. Promising combination of investigated techniques should lead to an innovative approach to ensure safety operation.


SHM Technology in Wind Turbines

Organizer: Prof. Wieslaw Ostachowicz

Key words: wind turbines, sensors, sensing, SHM, damage detection, signal processing

Scope of Session

The session covers the main Structural Health Monitoring (SHM) topics which are focused on wind turbine structures. The research methodologies used here span a wide range of experimental and numerical approaches in complementary investigations of rotor with blades, drive train and support structure. The crucial issue is to assess fibre reinforced polymer materials because they are widely used for wind turbine blades. The research methodologies should span a wide range of topics from piezoelectric transducers, elastic waves propagation phenomenon, fibre Bragg gratings, structural vibrations analysis, electro–mechanical impedance method, acoustic emission, damage mechanics, 3D laser vibrometry applications and others. The combination of proposed techniques allows to perform efficient both local and global SHM of the structure. It also includes a variety of techniques being related to diagnostics (damage size estimation and damage type recognition) and prognostics. Promising combination of selected techniques should lead to an innovative approach to ensure safety operation of the structure.


Vision-based Studies for Structural Health Monitoring

Organizer: Prof. Mohammad Jahanshahi

Key words: vision-based, machine learning, SHM

Scope of Session

It is generally accepted that computer vision will drive the next revolution in information and artificial intelligence. Furthermore, due to the recent advances in sensor technology and computational capability of computers, the use of vision-based approaches for condition assessment of structures provides an unprecedented opportunity to improve the resilience of structural systems. Moreover, these approaches are contactless and appropriate to be incorporated in mobile sensing robots such as unmanned aerial vehicles. This special session will provide the opportunity to discuss recent theoretical, computational and experimental advances in using computer vision and machine learning approaches for structural identification, control and health monitoring. Topics relevant to this session include, but not limited to, data collection and analysis, damage detection, classification, quantification and localization, change recognition, displacement and dynamic measurements, deep learning, sensor calibration, fusion and optimization, scene reconstruction, activity monitoring, and new emerging vision-based technologies.


Multifunctional Materials

Organizers: Prof. Kenneth J. Loh and Prof. Donghyeon Ryu

Key words: actuation, energy dissipation, energy harvesting, metamaterial, nanocomposite, self-healing, sensing, stimuli-responsive

Scope of Session

Multifunctional materials are materials that have been intentionally engineered to exhibit more than one precisely defined property or functionality. Often, encoding of desired properties is achieved through a “bottom-up” design methodology during material manufacturing. While nanotechnology has enabled molecular assembly of a variety of new materials/structures that are then scaled up, the design and engineering of innovative multifunctional structures can occur at any length scale. As a result, this new class of material system can exist in the form of a nanocomposite, composite, coating, colloidal dispersion, and/or multi-phase material. This special session welcomes contributions that showcase the breadth of multifunctional material architectures, nanocomposites, metamaterials, scalable nano-manufacturing methods, characterization, numerical modelling, validation and testing, and technology demonstration.


Tomographic Methods for Spatial Sensing

Organizers: Prof. Kenneth J. Loh and Prof. Tyler N. Tallman

Key words: damage detection, embedded sensing, imaging, inverse problem, optimization, spatial sensing, tomography

Scope of Session

Tomographic methods can non-invasively and non-destructively deduce the spatial distribution of in situ mechanical effects such as strain, damage, and stiffness. These features and capabilities are particularly attractive for structural health monitoring (SHM) and consequently have been applied to a wide variety of material systems in a myriad of civil, mechanical, and aeronautical venues. However, numerous challenges persist in this area including sensor density, image resolution, and prognostication of structural health from tomographic images. Therefore, this special session solicits contributions in both theoretical and experimental advances in spatial sensing via tomographic methods.


Diagnostics and prognostics of composite structures towards a condition-based maintenance framework

Organizers: Prof. Dimitrios Zarouchas and Prof. Theodoros Loutas

Key words: Composites, diagnostics & prognostics, SHM, stochastic modelling, data-driven & physicsbased models, feature extraction, fatigue damage monitoring

Scope of Session

Prognostics of the remaining useful service life, residual strength and residual stiffness of composite structures based on SHM measurements, is a new dynamically rising field towards a condition-based maintenance framework for light-weight composite structures. This special session will gather the research community active in the area of damage prognostics, address the challenges, discuss the present as well as future trends and exchange ideas & experiences across different engineering applications. Studies in the area of prognostics of composite structures subjected to fatigue loading, using data-driven and physics based models or a combination of those models, are expected to be presented in this session. Emphasis is given in the utilization of various SHM techniques, different modelling philosophies (data-driven/physics based) and machine learning algorithms. Issues of optimized feature extraction towards multi-sensor data fusion and more effective diagnostic/prognostic schemes are also of potential interest.


Recent Advances in Ultrasonics and Acoustic Emission Techniques for SHM/NDE

Organizer: Prof. Salvatore Salamone

Key words: ultrasonics, acoustic emissions, signal processing, SHM, NDE, damage detection

Scope of Session

This special session aims to collect and share recent developments in ultrasonic and acoustic emission technologies for damage assessment of civil and aerospace structures, and the issues and challenges related to their implementation in real world applications. Authors are encouraged to submit papers topics that include but are not limited to: 1) applications of ultrasonic and/or acoustic emission methods for SHM/NDE; 2) signal processing and analysis techniques, 3) damage prognosis techniques; 4) sensors development; 5) field implementation of ultrasonic and/or acoustic emission technology; 6) remote sensing technology.


SHM applications to medical devices and biological systems

Organizers: Prof. Nathan Salowitz and Dr. Liming Salvino

Key words: biomedical, applications, medical devices

Scope of Session

There is increasing interest in applying structural health monitoring techniques to new systems including medical implants and the human body. This session will host papers addressing the unique challenges and capabilities associated with monitoring the health and state of biological systems as well as monitoring of medical devices.


SHM within Harsh Extreme Environments

Organizers: Prof. Debbie G. Senesky and Prof. Haiying Huang

Key words: sensors, fiber optic, harsh environment, high temperature, extreme radiation, cryogenic, chemically corrosive, shock

Scope of Session

The ability to collect data and transduce signals within harsh environments will change the way we engineer automotive engines, industrial gas turbines, aircrafts and well-bore systems (e.g. geothermal and oil and gas exploration). This Special Session on “SHM within Extreme Harsh Environments” will provide a critical update on the status of realizing sensors and structural sensing systems for prohibitive environments (e.g., large temperature swings, radiation, and chemically corrosive). Hence, we solicit articles and original research papers on materials development, sensor development, fiber optic systems, and structural health monitoring for operation within harsh environments. Articles that address manufacturing, packaging, and industry implementation are also considered.


Probabilistic SHM

Organizers: Prof. Daniele Zonta and Prof. Branko Glisic

Key words: Bayesian inference, probabilistic methods, sensor fusion, structural reliability, risk analysis, decision making

Scope of Session

Structural health monitoring aims to understand the condition of a structure based on sensor observations, a process which is typically affected by uncertainties in the model assumptions and in the measurements. Key questions are how to provide a reliable and robust diagnosis, properly accounting for these uncertainties, and how to rationally exploit the monitoring information to make decision on such issues as structural maintenance, repair and replacement. The goal of the session is to bring together researchers working on statistical data interpretation, structural risk assessment, and decision making. Contributions are invited in the fields of structural reliability, probabilistic analysis, Bayesian logic, sensor fusion, risk analysis, including economic and social aspects that affect decisions in SHM applications. Contributions proposing methodological developments and in-field applications are both welcome.


Seismic Structural Health Monitoring for Civil Structures

Organizers: Prof. Maria Pina Limongelli and Mr. Mehmet Celebi

Key words: Seismic SHM, civil structures, damage identification, real time monitoring, emergency management

Scope of Session

During the last two decades, due to a need and a growing interest by both researchers and professional, seismic structural health monitoring (SHM) has evolved. Numerous monitoring systems installed in structures in various seismic prone countries utilize real-time or near-real-time responses recorded during strong earthquakes to make informed decisions related to the health of their structures . These data have a strategic importance both for the advancement of knowledge on the behavior and performance of structures under strong seismic actions and for the calibration of realistic and reliable numerical models that are aimed to reproduce the structural behavior and to formulate a diagnosis about possible damages. Furthermore, the possibility to assess the seismic vulnerability based on data recorded on the monitored structure opens new avenues in maintenance policies, shifting from a traditional ‘scheduled maintenance’ to a ‘condition-based maintenance’, carried out ‘on demand' or ‘automatically’, basing on the current structural condition. The aim of this Special Session is to report recent advances in this field and successful applications for civil structures and infrastructures: buildings, bridges, historical structures, dams, wind turbines, pipelines. The session deals with theoretical and computational issues and applications and welcomes contributions that cover, but are not limited to, seismic SHM algorithms for identification and damage detection, requisite strong motion arrays and real time monitoring systems and projects, instrumentation and measurements methods and tools, optimal sensors location, experimental tests, integration of seismic SHM in procedures for risk assessment and emergency management.

Such a session will provide a venue for exchange of information to ongoing developments and assess successes and limited successes of SHM.


Distributed and Quasi-distributed Fiber-optic and Electrical Sensors, and Associated Data Analysis and Management

Organizers: Prof. Branko Glisic and Prof. Daniele Zonta

Key words: Distributed fiber optic sensors; Sensing skins, sheets, and paints; Self-sensing materials; Dense arrays of active wave-propagation sensors; MEMS; Distributed/decentralized data analysis; Wireless nodes for dense arrays of sensors; Power harvesting for dense arrays of sensors

Scope of Session

Damage frequently occurs in form of strain-field anomalies. Strain-sensitive sensors installed at location of damage have unusually high change in their output signal and thus, can detect the damage reliably. However, it is difficult to know the exact location of damage prior to its occurrence. To address this challenge, very dense arrays of sensors could be used. Their “omnipresence” on the structure and their high sensitivity to damage, makes them very promising for reliable and accurate detection, localization, and quantification of damage. Several innovative techniques for enabling distributed and quasi-distributed arrays of sensors emerged in the last decade or so: (i) 1D distributed fiber optic sensors, (ii) 2D distributed sensing skins, paints, and sheets based on nano-technologies, large-area electronics, photonic crystals (nanospheres), conductive polymers, etc., and (iii) 2D and 3D active wave sensing techniques, embedded MEMS, and self-sensing materials. The aims of this special session are (1) to assess the state of the art of the techniques enabling dense arrays of sensors, (2) to identify challenges related to their applicability in real-life settings and (3) to cross-fertilize the research field through an exchange of ideas. In a broader sense, the topic of the session includes data management and power harvesting techniques that can address the challenges related to execution, processing and analysis of large number of measurements performed by very dense arrays of sensors.


Signal Processing for Health Monitoring of Structural and Biological Systems

Organizers: Prof. Ying Zhang and Prof. Jinying Zhu

Key words: Signal processing, Information extraction, Sensing, Structural integrity, Biomedical system, Physiological information, Human performance

Scope of Session

Signal processing plays an important role for information extraction of various health monitoring systems. The growing interest in quantifying personal health metrics and in human performance evaluation has increased demand for health monitoring devices that provide health and physiological information in real-time, similar to what has been occurring in the field of SHM. The goal of this session is to bring together researchers working on information extraction for both structural health monitoring and biological system monitoring, and address similar and unique challenges in both fields. Contributions are invited in the fields of data analysis, signal processing, image processing, data fusion, statistical analysis, and their applications in SHM and biological monitoring systems. Contributions in hardware implementation of de-noising techniques and signal processing methods are also welcome.


Integration and Certification of SHM Technologies for Aircraft Applications

Organizers: HMM Senior Expert: Matthias Buderath

Key words: Sensors, Maintenance Management System, PHM/SHM, Certification, FAA, EASA, CBM

Scope of Session

The scope of the session will be to present, exchange and discuss the status, lessons learned and roadmaps for future use of SHM technologies e.g. to support the realization of Condition based Maintenance or to obtain maintenance credit. The session will be composed by the following field of interest:

• Selection process of monitored structure

• Specification and validation of monitoring concepts

• Selection process of suitable sensing systems

• Integration of SHM into a Usage/PHM monitoring and management system

• Handling and management of data/SHM information for maintenance and operational decision support

• Certification approach


Assessment of the Value of SHM Information

Organizers: Prof. Sebastian Thöns, Prof. Michael D. Todd, Prof. Maria Pina Limongelli

Key words: Value of Information, SHM, Decision support

Scope of Session

SHM can efficiently contribute to an enhanced functioning of civil structures and infrastructures, transportation and machinery systems by providing an improved benefit generation and the reduction of operational costs and risks throughout the life cycle. In this perspective, SHM development and research is traditionally focused on technologies and data analysis approaches providing various information associated to the loading and to the structural conditions. However, the link to a quantification of the enhanced functionality provided by the SHM is often missing.

The quantification of the Value of the Information provided by SHM necessitates a holistic perspective that shall include the knowledge and models of the life cycle performance of the monitored system and of the SHM system, their probabilistic characteristics and the costs connected to their development, investment, operation and decommissioning. In addition, it necessitates that these models are coupled in a comprehensive framework such as the Bayesian decision theory. Then the effect of SHM on the expected benefits and costs throughout the life cycle can be demonstrated and the SHM system development and operation can be optimized.

With this special session, the research efforts for quantifying the value of SHM and optimizing SHM will be gathered and discussed. Contributors in the fields of SHM optimization, decision analysis, uncertainty modelling and risk and reliability research are welcome. The session is supported by and includes contributions from the EU networking project COST Action TU1402 on Quantifying the Value of Structural Health Monitoring (http://www.cost-tu1402.eu/).


Structural Health Monitoring of High-speed and Intercity Railways

Organizers: Prof. Yi-Qing Ni and Prof. Chung-Yue Wang

Key words: High-speed railway, intercity railway, online monitoring, on-board monitoring, operational safety assessment, health management

Scope of Session

Operational safety is the most important issue in mass transportation, especially for high-speed rail in view of its mass transportation volume and fast speed. Developing smarter rail systems by integrating sensing, communication, computing and information technologies is becoming an urgent need to satisfy the safety and reliability requirements in modern rail industry. This special session provides a platform for sharing state-of-the-art research and applications in structural health monitoring (SHM) for high-speed and intercity railways. The scope of this session covers a broad range of research topics, including but not limited to:

•Online and on-board monitoring of rolling stock (coaches, bogies, and wheels);

•Non-destructive and/or online monitoring of rail tracks;

•Instrumentation for rail infrastructure monitoring (railway bridges, tunnels and subgrade);

•High-speed railway intrusion and obstacle detection techniques;

•Earthquake early warning systems for high speed rail;

•Advanced sensors and sensory networks for rail SHM;

•Multi-functional materials, wireless sensing, and energy harvesting for rail SHM;

•Predictive modelling tools for health management of rail systems.


Acoustic Emission and Hybrid SHM

Organizer: Prof. Victor Giurgiutiu

Key words: acoustic emission, AE, non-destructive evaluation, NDE, structural health monitoring, SHM, passive detection, active detection, fracture, crack growth, fiber breakage, damage

Scope of Session

This special session will address the topic of acoustic emission and hybrid SHM. Acoustic emission (AE) is a passive SHM technique that relies on ‘listening’ to the elastic waves generated when an incremental crack growth occurs. The elastic waves associated with AE events can travel a considerable distances in metallic structures which have a low damping dissipation coefficient. AE waves also travel in composite materials but they their travel distance may be less due to the damping dissipation of polymer matrix composites. Hybrid SHM techniques encompass a large class of methods that aim at combining several techniques in order to increase the probability of detection. For example, one may use passive SHM to record a damaging event (such as an impact in a composite structure) and then apply active SHM to try estimate the magnitude of the resulting damage and its severity. Or, one can listen to AE events which indicate that cracks are progressing into the structure and then follow up with active SHM technique to evaluate the crack size. Or, one can use two different active SHM techniques (e.g., pitch-catch wave propagation and electromechanical impedance standing waves) to better detect the damage location and size. But these are just examples. The session is open to all innovative techniques aimed at enhancing the SHM capabilities. Contributions the judiciously combine theory and experiments are highly encouraged.


Dynamic Data Driven Applications Systems (DDDAS)

Organizer: Dr. Erik Blasch and Prof. Fu-Kuo Chang

Scope of Session

For the last couple of decades, the DDDAS paradigm has brought together modeling, controls, and measurements towards efficient applications where DDDAS instrumentation data and executing application models results in a dynamic feedback control loop. Measurement data, dynamically incorporated into a system executing model, improves model accuracy, accelerates simulation analysis, and/or enhances model robustness. Likewise, the executing application model controls the instrumentation process to guide the measurement process. (http://www.1dddas.org/) Papers are sought that utilize the DDDAS paradigm for understanding and modeling the behavior of complex systems, be they natural, engineered, or societal; towards structural health monitoring (SHM). Applications include physical systems, internet of things, big computing, full-scale simulations, networked sensors, or designs towards situational awareness of engineered systems. Preference is given to papers that highlight comparative analysis over real data with modeling approaches and heterogeneous sensor implementation.


Flexible Hybrid Electronics for SHM

Organizer: Dr. Jeong-Beom Ihn

Key words: Flexible Hybrid Electronics

Scope of Session

Recent advancements in Flexible Hybrid Electronics (FHE) hold the potential to provide solutions to some of the key implementation challenges in structural health management applications. The topics of the invited papers would include but not limited to:

•Multi-modal sensor integration and material/structure state diagnostics

•Light weight and low cost solution

•Durability/Reliability/Self-diagnostics

•Reparability/Maintainability

•Scalability/Conformability

•Robust hardware interface and low power data communications