Topics and Sessions

IWSHM 2015 General Topics

1.     Aerospace Structures: Modeling, Experimental Demonstration and Validation

2.     Bio-inspired Sensors and Networks, Smart Sensor Technologies

3.     Bondline Integrity Monitoring

4.     Civil Structures: Modeling, Experimental Demonstration and Validation

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5.     Diagnostics and Prognostics for Damage Assessment

6.     Guided Waves and Electromechanical Impedance Based Methods for SHM

7 Modeling, Analysis, and Experimental Evaluation of Multifunctional Materials

8. Operational and Environmental Effects in SHM

9. Sensors, Actuators, Sensor Networks, and Energy Harvesting

10. SHM-based Structural Design

11. Signal Processing Techniques (Neural Networks, Pattern Recognition, Spectral Analysis, etc.)

12. Statistical Methods for SHM

13. System Identification and Structural Dynamics

14. Vibration Based Methods for SHM

IWSHM 2015 Special Topics



Helmut Wenzel (VCE)


Daniele Zonta (U of Trento) and Branko Glisic (Princeton)


Yiqing Ni (HK Poly. U) and Chung-Yue Wang (National Central University)


Wieslaw Ostachowicz (PAS)


Wieslaw Ostachowicz (PAS)


Branko Glisic (Princeton) and Daniele Zonta (U of Trento)


Dimitrios Zarouchas(DELFT), Marcias Martinez (DELFT)


Kenneth Loh (UC Davis), Donghyeon Ryu (New Mexico Tech)


Salvatore Salamone (University in Buffalo)


Kenneth Loh (UC Davis), Bryan Loyola (Sandia)


Debbie G. Senesky (Stanford), Kevin SC Kuang (NUS)


Matthias Buderath (Airbus Defence and Space)


Jeong-Beom Ihn (Boeing), Christine M Schubert Kabban(Air Force)


Paul Swindell, (FAA), Eric Lindgren (Air Force)


Dy Le (Army), Ed Habtour (Army), Nam Pham (NAVAIR)

Special Session Title: Monitoring and Health Management of High-speed Railways

Organizers: Yi-Qing Ni1 and Chung-Yue Wang2

1 Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.

2 Department of Civil Engineering, National Central University, Chungli, Taoyuan, Taiwan.


Key words: Railway infrastructure, high-speed trains, on-line monitoring, smart control, operational safety assessment, health management


Scope of Session

Rapid expansion of the high-speed railway in recent years in several countries has imposed great challenges on the safety, reliability and comfort of its operation. In responding to such challenges, this special session aims to encourage the presentation and sharing of recent innovations in the field of monitoring and health management of high-speed railways. The scope of this session covers a broad range of research topics, including but not limited to: (1) monitoring and evaluation of rail track and subgrade systems, (2) advanced sensor network and wireless communication for on-line monitoring of high-speed rail vehicles (including the detection of bogie defects), (3) applications of smart materials for condition monitoring and vibration control of high-speed trains, (4) fault diagnosis of high-speed rail traction power and information control systems (including the development of sensors and devices for electricity condition monitoring), and (5) system-level health evaluation, prognosis and management for the purpose of facilitating condition-based maintenance and ensuring long-term operational safety.


Special Session Title: Very dense arrays of sensors: 1D, 2D, and 3D distributed and quasi-distributed sensors

Organizers: Branko Glisic1 and Daniele Zonta2

1 CEE, Princeton University, E330 EQuad, Princeton, NJ 08544, USA.

2 DICAM, University of Trento, Via Mesiano 77, 38123 Trento, Italy.


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

The key advantage of implementing very dense arrays of sensors for damage identification purposes is in “omnipresence” of sensors in the structure and their high sensitivity to damage, so wherever the damage occurs in the structure it is reliably detected, localized and quantified through a significant output change in the affected sensors. Consequently, an important number of innovative technique emerged in the last decade or so: 1D distributed fiber optic sensors, 2D distributed sensing skins, paints, and sheets based on nano-technologies, large-area electronics, photonic crystals (nanospheres), conductive polymers, etc., and 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.


Special Session Title: Embedded Sensors for Detecting Damage in Composites

Organizers: Kenneth J. Loh1 and Bryan R. Loyola2

1 Department of Civil & Environmental Engineering, University of California, Davis, CA 95616, USA.

2 Sandia National Laboratories, Livermore, CA 94550, USA.


Key words: composite, damage detection, embedded, fiber optics, FRP, piezoelectric, thin film


Scope of Session

Fiber-reinforced polymer (FRP) composites are seeing broad applications due to their high strength-to-weight ratio, resistance to fatigue and corrosion, and high tailor-ability, among others. However, FRPs sustain damage different than conventional metal structures, with damage modes such as delamination, fiber fracture, and debonding that often occur in the subsurface and within its laminate architecture. As a result, damage detection using visual inspection or conventional techniques is challenging. One particular approach is to embed novel, small-form-factor, sensor technologies within FRPs and between laminates for detecting damage in situ. Another related but different method is to modify the FRP and/or its epoxy matrix with conductive particles or nanomaterials so that the FRP becomes self-sensing. The goal of this special session is to showcase the breadth of research devoted to detecting composite damage through embedded sensing. Contributions that address the embedment of sensors such as fiber optics, piezoelectric transducers, thin films, nanomaterials, and passive wireless devices, among others, are welcomed.


Special Session Title: Technologies for Health Conscious Vehicle and Maneuver

Organizers: Dy Le1

Organizers: Ed Habtour1

Organizers: Nam Pham2

1 Army Research Laboratory



Key words: Damage precursor, VRAMS, Risk, Materials State Awareness, Damage-based Reconfigurable Maneuver, Fatigue Damage, Self Inspection, Self Diagnostics, Information Fusion, Remaining Useful Life


Scope of Session

A futuristic concept for an intelligent materials state awareness system called Virtual Risk-informed Agile Maneuver Sustainment or VRAMS has been developed. VRAMS integrates advanced and novel technologies, some of which may not exist today, to perform self diagnostics and inspections, materials damage precursor information fusion and remaining useful life computation, risk-informed capability assessment, and damage-based reconfigurable maneuvers. VRAMS also aims at enabling integrated capabilities embedded within vehicles (ground, air, and autonomous systems) to automatically gauge changes in their functional state, assess that functionality in the context of upcoming or even ongoing missions, and react accordingly to achieve mission requirements; increase vehicle availability; and substantially reduce vehicles' life cycle costs. Changes in the state of the hardware include structural fatigue, combat damage, and other aging system-related degradations. The resulting changes in system functionality would be integrated with data and information from on/off board systems for mission and maintenance planning and battle command systems to automatically compare the vehicles' available capability to the real-time demands imposed by a particular mission. This session encourages any technical papers disseminating research results in the above or related areas.