An information modeling framework for bridge monitoring

Jeong, Seongwoon,Hou, Rui,Lynch, Jerome P.,Sohn, Hoon,Law, Kincho H. Elsevier 2017 Advances in engineering software Vol.114 No.-

<P><B>Abstract</B></P> <P>Bridge management involves a variety of information from different data sources, including geometric model, analysis model, bridge management system (BMS) and structural health monitoring (SHM) system. Current practice of bridge management typically handles these diverse types of data using isolated systems and operates with limited use of the data. Sharing and integration of such information would facilitate meaningful use of the information and improve bridge management, as well as enhance bridge operation and maintenance and public safety. In many industries, information models and interoperability standards have been developed and employed to facilitate information sharing and collaboration. Given the success of building information modeling (BIM) in the Architecture, Engineering and Construction (AEC) industry, efforts have been initiated to develop frameworks and standards for bridge information modeling (BrIM). Current developments of BrIM focus primarily on the physical descriptions of bridge structures, such as geometry and material properties. This paper presents an information modeling framework for supporting bridge monitoring applications. The framework augments and extends the prior work on the OpenBrIM standards to further capture the information relevant to engineering analysis and sensor network. Implementation of the framework employs an open-source NoSQL database system for scalability, flexibility and performance. The framework is demonstrated using bridge information and sensor data collected from the Telegraph Road Bridge located in Monroe, Michigan. The results show that the bridge information modeling framework can potentially facilitate the integration of information involved in bridge monitoring applications, and effectively support and provide services to retrieve and utilize the information.</P> <P><B>Highlights</B></P> <P> <UL> <LI> An information modeling framework for supporting bridge monitoring applications is proposed. </LI> <LI> The framework extends the prior work on the OpenBrIM standards to capture the information relevant to engineering analysis and sensor network. </LI> <LI> Implementation of the framework employs a NoSQL database system for scalability, flexibility and performance. </LI> <LI> The framework is demonstrated using bridge information and sensor data collected from the Telegraph Road Bridge located in Monroe, Michigan. </LI> </UL> </P>

Resource-efficient wireless sensor network architecture based on bio-mimicry of the mammalian auditory system

Peckens, Courtney A,Lynch, Jerome P,Heo, Gwanghee SAGE Publications 2015 Journal of intelligent material systems and struct Vol.26 No.1

<P>While wireless sensor networks have been successfully deployed on a variety of civil infrastructure systems for structural monitoring, past studies have shown that there is room for improvement in terms of network robustness and overall resource consumption efficiency. The mechanisms employed by biological nervous systems (e.g. signal modulation, communication, and integration) can be used as inspiration for overcoming the performance bottlenecks seen in existing wireless sensor nodes and networks. The mammalian auditory system is of particular interest due to its unique signal decomposition techniques (performed by the cochlea) that enable real-time processing of complex sound signals. In this article, a novel wireless sensor architecture based on the operational principles of cochlea is described. The performance of the proposed sensor is validated on a single-degree-of-freedom structure that is excited by seismic ground motion signals, thus demonstrating its real-time monitoring capabilities while maintaining high data compression rates.</P>

Laboratory for Intelligent Structural Technology(LIST) University of Michigan

Jerome P. Lynch 한국소음진동공학회 2010 소음 진동 Vol.20 No.2

A wireless impedance analyzer for automated tomographic mapping of a nanoengineered sensing skin

Sukhoon Pyo,Jerome P. Lynch,Kenneth J. Loh,Tsung-Chin Hou,Erik Jarva 국제구조공학회 2011 Smart Structures and Systems, An International Jou Vol.8 No.1

Polymeric thin-film assemblies whose bulk electrical conductivity and mechanical performance have been enhanced by single-walled carbon nanotubes are proposed for measuring strain and corrosion activity in metallic structural systems. Similar to the dermatological system found in animals, the proposed self-sensing thin-film assembly supports spatial strain and pH sensing via localized changes in electrical conductivity. Specifically, electrical impedance tomography (EIT) is used to create detailed mappings of film conductivity over its complete surface area using electrical measurements taken at the film boundary. While EIT is a powerful means of mapping the sensing skin’s spatial response, it requires a data acquisition system capable of taking electrical impedance measurements on a large number of electrodes. A low-cost wireless impedance analyzer is proposed to fully automate EIT data acquisition. The key attribute of the device is a flexible sinusoidal waveform generator capable of generating regulated current signals with frequencies from near-DC to 20 MHz. Furthermore, a multiplexed sensing interface offers 32 addressable channels from which voltage measurements can be made. A wireless interface is included to eliminate the cumbersome wiring often required for data acquisition in a structure. The functionality of the wireless impedance analyzer is illustrated on an experimental setup with the system used for automated acquisition of electrical impedance measurements taken on the boundary of a bio-inspired sensing skin recently proposed for structural health monitoring.

Quantitative assessment of compress-type osseointegrated prosthetic implants in human bone using electromechanical impedance spectroscopic methods

Wentao Wang,Jerome P. Lynch 대한의용생체공학회 2020 Biomedical Engineering Letters (BMEL) Vol.10 No.1

Osseointegrated (OI) prostheses are a promising alternative to traditional socket prostheses. They can enhance the qualityof life of amputees by avoiding fi t and comfort issues commonly associated with sockets. The main structural element ofthe OI prosthesis is a biocompatible metallic implant that is surgically implanted into the bone of the residual limb. Theimplant is designed to provide a conducive surface for the host bone to osseointegrate with. The osseointegration process ofthe implant is diffi cult to clinically evaluate, leading to conservative postoperative rehabilitation approaches. Elastic stresswaves generated in an OI prosthesis have been previously proposed to interrogate the implant-bone interface for quantitativeassessment of the osseointegration process. This paper provides a detailed overview of the various elastic stress wavemethods previously explored for in situ characterization of OI implants. Specifi cally, the paper explores the use of electromechanicalimpedance spectroscopy (EIS) to assess the OI process in compress-type OI prostheses. The EIS approachmeasures the electrical impedance spectrum of lead zirconate titanate elements bonded to the free end of the implant. Theresearch utilizes both numerical simulation and experimental verifi cation to establish that the electromechanical impedancespectrum is sensitive (between 400 and 460 kHz) to both the degree and location of osseointegration. A baseline-free OIindex is proposed to quantify the degree of osseointegration at the implant-bone interface and to assess the stability of theOI implant for clinical decision making.

Smart Wireless Sensor Technology for Structural Health Monitoring of Civil Structures

조수진,윤정방,Jerome P. Lynch,Andrew T. Zimmerman,Billie F. Spencer Jr,Tomonori Nagayama 한국강구조학회 2008 International Journal of Steel Structures Vol.8 No.4

This paper presents the results of international cooperative researches on smart wireless sensors and SHM of civil structures among KAIST, the University of Michigan, and the University of Illinois at Urbana-Champaign. At first, the state-of-art in the smart wireless sensor technology is reviewed. The subsystems of a smart wireless sensor are discussed, and available wireless sensor platforms developed in the academia and industries are reviewed. Then three smart wireless SHM systems developed by the present authors are applied to SHM of various types of civil structures in this study. The first example is a distributed modal identification system using a smart wireless sensor platform, which is applied to the modal identification of a balcony structure in a historic theatre. The second one is a low-cost and autonomous wireless tension estimation system for cable-stayed bridges, which is employed for modal identification and tension estimation of a stay cable. The last one is an autonomous decentralized SHM system, which is applied to damage detection on a 3-D steel truss structure.

Structural monitoring of wind turbines using wireless sensor networks

R. Andrew Swartz,Jerome P. Lynch,Stephan Zerbst,Bert Sweetman,Raimund Rolfes 국제구조공학회 2010 Smart Structures and Systems, An International Jou Vol.6 No.3

Monitoring and economical design of alternative energy generators such as wind turbines is becoming increasingly critical; however acquisition of the dynamic output data can be a time-consuming and costly process. In recent years, low-cost wireless sensors have emerged as an enabling technology for structural monitoring applications. In this study, wireless sensor networks are installed in three operational turbines in order to demonstrate their efficacy in this unique operational environment. The objectives of the first installation are to verify that vibrational (acceleration) data can be collected and transmitted within a turbine tower and that it is comparable to data collected using a traditional tethered system. In the second instrumentation, the wireless network includes strain gauges at the base of the structure. Also, data is collected regarding the performance of the wireless communication channels within the tower. In both turbines, collected wireless sensor data is used for off-line, output-only modal analysis of the ambiently (wind) excited turbine towers. The final installation is on a turbine with embedded braking capabilities within the nacelle to generate an impulse-like load at the top of the tower. This ability to apply such a load improves the modal analysis results obtained in cases where ambient excitation fails to be sufficiently broad-band or white. The improved loading allows for computation of true mode shapes, a necessary precursor to many conditional monitoring techniques.

Inductively coupled nanocomposite wireless strain and pH sensors

Loh, Kenneth J.,Lynch, Jerome P.,Kotov, Nicholas A. Techno-Press 2008 Smart Structures and Systems, An International Jou Vol.4 No.5

Recently, dense sensor instrumentation for structural health monitoring has motivated the need for novel passive wireless sensors that do not require a portable power source, such as batteries. Using a layer-by-layer self-assembly process, nano-structured multifunctional carbon nanotube-based thin film sensors of controlled morphology are fabricated. Through judicious selection of polyelectrolytic constituents, specific sensing transduction mechanisms can be encoded within these homogenous thin films. In this study, the thin films are specifically designed to change electrical properties to strain and pH stimulus. Validation of wireless communications is performed using traditional magnetic coil antennas of various turns for passive RFID (radio frequency identification) applications. Preliminary experimental results shown in this study have identified characteristic frequency and bandwidth changes in tandem with varying strain and pH, respectively. Finally, ongoing research is presented on the use of gold nanocolloids and carbon nanotubes during layer-by-layer assembly to fabricate highly conductive coil antennas for wireless communications.

NARADA 무선센서를 활용한 차량-교량 상호작용 계측 및 해석

김준희 ( Kim Junhee ),린치제롬 ( Lynch Jerome P ) 한국구조물진단유지관리공학회 2014 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.18 No.2

Structural monitoring of wind turbines using wireless sensor networks

Swartz, R. Andrew,Lynch, Jerome P.,Zerbst, Stephan,Sweetman, Bert,Rolfes, Raimund Techno-Press 2010 Smart Structures and Systems, An International Jou Vol.6 No.3

Monitoring and economical design of alternative energy generators such as wind turbines is becoming increasingly critical; however acquisition of the dynamic output data can be a time-consuming and costly process. In recent years, low-cost wireless sensors have emerged as an enabling technology for structural monitoring applications. In this study, wireless sensor networks are installed in three operational turbines in order to demonstrate their efficacy in this unique operational environment. The objectives of the first installation are to verify that vibrational (acceleration) data can be collected and transmitted within a turbine tower and that it is comparable to data collected using a traditional tethered system. In the second instrumentation, the wireless network includes strain gauges at the base of the structure. Also, data is collected regarding the performance of the wireless communication channels within the tower. In both turbines, collected wireless sensor data is used for off-line, output-only modal analysis of the ambiently (wind) excited turbine towers. The final installation is on a turbine with embedded braking capabilities within the nacelle to generate an "impulse-like" load at the top of the tower. This ability to apply such a load improves the modal analysis results obtained in cases where ambient excitation fails to be sufficiently broad-band or white. The improved loading allows for computation of true mode shapes, a necessary precursor to many conditional monitoring techniques.