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SHM in Action

Each participant may have a demonstration of up to 5 minutes. The time limit will be strict. Also, there will be a 2 minute interval for the stage set-up between the demonstrations. Complete the form below to signup.

SHM in Action

A short description of the demo is required.

Click Here to watch the video from IWSHM 2015 SHM in Action!

Optilab, LLC will demonstrate a photonic IoT solution for structure health monitoring and machinery condition monitoring. This system consists of Optilab Oak Creek Fiber Sensor Interrogators (FSI-S-OC) and various fiber Bragg grating sensors. FSI-S-OC features our compact form factor Sedona series housing which includes a 10-point touch screen and a rechargeable battery with up to 8 hours of continuous operation. The FSI-S-OC is designed to integrate with our proprietary FAC-520 Fiber Accelerometer to create a fully functional solution to record, plot and monitor the vibrational characteristics of a system including time domain vibrational signals and the corresponding FFT spectrum. In addition, the FSI-S-OC can also integrate with FBG-based sensors to monitor structural strain, temperature and displacement etc. The FSI-S-OC features 64 GB of built in memory for storing time and frequency domain data as well as built in Wi-Fi for transferal of data to a Cloud or IoT-based server for predictive analytics or data storage. Click here to access Optilab Website. Click here to access the other website.
PHASE IV Engineering
Phase IV Engineering will demonstrate its battery-free wireless RFID strain sensors that can be embedded in concrete and other materials.  These sensors can take precision strain readings wirelessly using RFID sensors that do not have a battery.  Another version of these sensors that are “battery assisted” can data log time-stamped strain sensor readings to memory and be downloaded at a later time over an RFID interface.Click here to access PHASE IV Engineering Website.
Metis Design Corporation
Metis Design Corporation will demonstrate their latest MD7-Pro Rev4 hardware to perform acoustic emission based impact detection, thus trigging guided wave based damage detection.  The MD7-Pro Rev4 system is comprised of a beamforming array of piezoelectric sensors surrounding an actuator wafer that uses ultrasonic energy to detect and localize impacts and the resulting damage.  Multiple impact events will be conveyed to the structure, and the MD7-Pro Rev4 system will automatically perform the data collection and transfer to a display predicting impact location and damage, if present. Click here to access Metis Design Website.
Embedor Technologies
Embedor Technologies' Xnode Smart Sensor is a powerful and versatile wireless sensor platform designed specifically for SHM applications. The Xnode's capabilities have recently been expanded with the addition of a trigger accelerometer and a high-fidelity, 32-bit 3-axis accelerometer. The former allows for for event-triggered data acquisition, necessary for applications such as seismic monitoring and rare event detection. The latter makes the Xnode capable of measuring the structural response from low-amplitude ambient vibrations, e.g. in very stiff structures. In this demonstration, we will showcase the combination of these capabilities for high-fidelity rare event monitoring without losing any data from the event, which is common with other wireless sensor platforms. As excitation is applied to a model structure, the Xnode will autonomously detect the vibration and seamlessly stitch the data from the two accelerometers, starting seconds before the triggering event. This demo highlights the utility of the Xnode for applications like impact detection and rapid condition assessment. Click here to access Embedor Technologies Website.
Etherdyne Technologies Inc.,(ETI)
We are an innovative and disruptive start up focused on advancing the capabilities of IoT sensors by providing them power wirelessly. Our demo will highlight our patent-pending 'Loop Technology' that addresses the factors restricting IoT sensor growth - battery life and devices/sensors are tethered (wired) and the cumbersome and less than ideal user experience.
Optics11 will demonstrate acoustic emission monitoring using optical fiber interferometry. The ZonaSens system is capable of measuring with femto-strain sensitivity in stretches of optical fiber, while sampling at one MegaHerz. Applications are crack detection, leak detection, rail monitoring and more. In addition, miniature all-optical acceleration sensors with nano-g sensitivity will be shown. Click here to access Optics11 Website.
Acellent Technologies, Inc., a Structural Health Monitoring systems provider, will demonstrate a combined passive-active impact detection system with trajectory estimation. This novel system integrates impact detection with active damage scanning and trajectory estimation to inform the end user when an impact has occurred, whether damage has resulted, the damage size and trajectory of the impact through the object. This system will be demonstrated on a mockup of a helicopter tailboom with results shown in real-time. Click here to access Acellent Website.
Micron Optics, Inc.
Micron Optics will demonstrate the latest in optical interrogation technology, the Micron Optics Hyperion Platform, to enable the sensing of aerospace fluid level and aerofoil pressure measurements using lightweight and intrinsically small Fiber Bragg Gratings. This leading edge measurement capability is enabled by sensors from Arkwright Technologies in Australia to make what were once impossible measurements, possible. Click here to access Micron Optics Website.
SHMlab and HSLab at Princeton University
Data visualization is an important aspect of the SHM process. The ability to communicate effectively between various involved parties working on an SHM project is frequently the key to success in long-term SHM applications. Our work presents a method for integrating SHM data and meta-data into an informational modelling (IM) and virtual reality (VR) environment. By presenting SHM data and meta-data in an intuitive and interactive manner enabled through IM/VR, communication during projects, an understanding of the SHM system, and an understanding of SHM data will be fostered. As a case study, the method implementation on Streicker Bridge is presented.  click Here for SHM lab at Princeton; click Here for HS lab at Princeton.
Intelligent Infrastructure Systems Laboratory (IISL), Purdue University
In this video demonstration, we have implemented a practical capability to automatically perform region-of-interest (ROI) localization and classification using UAV images. A large volume of images from a full-scale highway sign truss is collected using a drone. A selected target inspection region (welded connection in our demo) on each image is automatically localized, and less useful ROIs, such as those corrupted by occlusions, are further filtered using a robust image classification technique, called convolution neural network algorithms. We will also demonstrate, with thousands of images collected from the structure, our in-house software implementing these techniques. click Here for Intelligent Infrastructure Systems Laboratory (IISL), Purdue University.
Los Alamos National Laboratory
One of the issues with current manual structural inspections is that there tends to be variance across inspectors with regards to the current structural integrity of infrastructure. This problem is going to be exacerbated as we move towards building structures with design lives on the order of hundreds of years. Over these time frames even language can change so it is becoming increasingly necessary to develop tools that capture high-resolution structural inspection information in an unambiguous manner. Emerging augmented reality headsets offer a promising solution to the problem of collecting high-resolution, 3D structural information in an on-the-fly manner and we will demonstrate our current work in this area. click Here for Los Alamos National Laboratory.
Stochastic Mechanical Systems and Automation Laboratory, University of Patras
Real time damage detection and classification via a simple Power Spectral Density (PSD) based statistical time series method is demonstrated on a laboratory-scale ship hull structure. The hull structure consists of a number of vertical and horizontal aluminum plates and beams jointed together via bolts and rivets. The detection and classification of damages, each corresponding to a loosened bolt, is achieved based on a single 10 seconds long vibration acceleration signal within the 0-850 Hz frequency range. The method automatically detects and classifies each considered damage, and is also capable of identifying the healthy state following proper structural repair (bolt re-tightening). For more information on this and other case studies or advanced SHM methods please visit our Stochastic Mechanical Systems and Automation Laboratory website.
ARMOR Lab at UC San Diego
The ARMOR Lab at UC San Diego aims to derive innovative solutions for safeguarding our structural/human assets using multifunctional materials with performance accentuated by tomographic methods. We will showcase a system that enables noncontact and subsurface damage quantification and localization. Like computed tomography, this system generates cross-sectional images of a structure; however, it uses electric fields to interrogate the system to generate electrical permittivity images, where locations and magnitudes of permittivity changes can be directly visualized. Embedded nanocomposites sensors further enhances damage selectivity. Its applicability for monitoring corrosion, strain, and pH will be demonstrated. Click here for the ARMOR Lab.
NDT-CE Lab, University of Nebraska-Lincoln
The University of Nebraska-Lincoln (UNL) team has developed an automated acoustic scanning system for rapid evaluation of concrete bridge decks. Multi-channel MEMs microphones are used to continuously collect acoustic signals generated ball chains, and a RTK GPS system provides real-time positions of the testing system. The system is able to scan a typical bridge lane in less than 3 minutes and generate a defect map immediately after the scanning. Click here for the NDTCE Lab.
Opto-Electro-Structural Lab, Aerospace Engineering, KAIST
We will introduce fully non-contact mobile pulse-echo ultrasonic propagation imager (PE UPI) based on laser ultrasound as an in-situ nondestructive evaluation tool. The mobile PE UPI provides an excellent solution for visualizing through-the-thickness damage and defect in composite structure, which is commonly used in real world structures. This system consists of compact scanning laser head, two-axis translation scanner and UPI controller and is able to inspect the structure by using the compact scanning laser head which combines generation and sensing laser beams to scan the structure in high speed and high spatial resolution. Inspection result can be represented in real-time not as a two-dimensional image but as a three-dimensional video which shows the propagation of through-the-thickness ultrasound as bulk wave based on pulse-echo ultrasonic wave propagation imaging (PE UWPI) technique. The system also provides post processor for damage visualization such as multi-time frame amplitude mapping, defect pointing function, and polygon defect area calculation. In a 5 minute video live, we will show the principle and practical operation of mobile PE UPI as well as practical applications in real world structures using mobile PE UPI. Click here for Opto-Electro-Structural Lab.
8tree’s dentCHECK® tool is Airbus approved and being used by numerous airlines and MROs globally. It is slashing dent-mapping and reporting times by 90%, while delivering unprecedented levels of measurement accuracy and SRM-compliant answers. dentCHECK is revolutionizing the speed with which airlines can inspect airframe damage caused by Ground Support Equipment (GSE), bird strikes and hail damage. This reduces Turn-around-Time (TaT) and boosts operational efficiency, thereby directly helping the bottom line. Click here for 8tree website.
Stanford University and Massachusetts Institute of Technology
Vibration analysis is a powerful tool for structural health monitoring -- where operational mode shapes, and the spectra of their vibrations, can often be used to identify structural damage and other anomalies. We present Modal Imaging, and Interactive Dynamic Video: two recent techniques for measuring, visualizing, and even plausibly simulating the vibrations of structures based on regular or high-speed video. Click here, here and here to visit the project website.

The focus of the workshop is to promote applications of SHM technologies and to encourage interaction between industry and academia. We place significant emphasis on industrial applications including aerospace, ground transportation systems, and civil infrastructures. Your company plays a leading role in this field and is cordially invited to participate in a special session, SHM in Action, which provides a unique opportunity to combine product demonstration with podium discussion. 

Participate to win: 

The Most Practical SHM Solution for Aerospace Award, $1000 prize presented by Airbus 

The Most Practical SHM Solution for Civil Infrastructures Award, $1000 prize 

Each participant may have a demonstration with a strict time limit of 5 minutes. There will be a two minute interval for the stage set-up between the demonstrations. 

How to participate:

Here is the link to sign up. The deadline to apply is Aug 15, 2017. A short description of the demo is required. More information about SHM in action is given below.

Who can participate:

  • workshop exhibitors
  • workshop presenters
  • workshop participants
  • Objective:

    To show how a structural health monitoring (SHM) system practically works. This presentation can be additional to exhibits or oral presentations and is specifically targeted to underline the practical aspect of the SHM.


    There is significant recent progress in SHM technology for a variety of applications. These presentations will focus on how these SHM systems work in practice in terms of installation, handling, interpretation, and robustness for the following applications:

  • operational loads monitoring
  • damage detection
  • health monitoring
  • life-cycle management
  • The session targets:

  • showing the audience how SHM works in various applications
  • better understanding the practical issues of different SHM systems
  • getting further feedback and requirements expressed from current and potential SHM users
  • letting SHM users to share their experience
  • Procedure:

    The session intends to show as many demonstration cases as possible, addressing the aspects mentioned below:

  • the way the monitoring system and the test is operated
  • type of sensors and actuators (if required) and their way of attachment to components, linkage to the signal generation and acquisition unit, etc.
  • signal generation and acquisition unit as hardware and how it operates
  • the way input data are entered and sensor data are received and how the result is presented during the test
  • procedure for sensor signal processing
  • the 'man-machine interface' such as data input and output display
  • component(s) tested, area/volume to be monitored, loading procedure and the damage initially observed by conventional means of non-destructive testing
  • characteristics of the system such as weight, size, volume, reliability, cost, etc.
  • Each presentation is allowed no more than 5 minutes through a video, internet or a hardware live demonstration only, which will be directly displayed to the audience on a large screen. It is mandatory that the SHM system is shown in action. Static displays are not acceptable and live demonstrations are preferred over videos. Each presentation will be followed by a brief Q&A session where the SHM demonstrators will answer questions from the audience.

    The test cases being presented can be either based on self-developed or purchased SHM systems. The source of the SHM hardware is eligible to be mentioned but no further advertisement from or about the supplier of the SHM system will be accepted.