Tuesday, November 17, 2009

Bridge Health Monitoring: Reality

"When heavy trucks rumble across the Burlington-Bristol Bridge, new sensors detect the stresses they put on the 2,300-foot span and instantly transmit the information to computers in Philadelphia.
Drexel and its partner, the Burlington County Bridge Commission, plan to use the system continuously to help the agency better allocate its resources for bridge maintenance.
In Minnesota, for example, engineers are analyzing data from hundreds of sensors on the new Interstate 35 bridge erected last year in Minneapolis to replace the span that collapsed in August 2007, killing 13 people. Yet one challenge in monitoring long-standing bridges is understanding stresses that are inherent in the structure, according to French. She pointed out that one cause of the I-35 collapse was that its gusset plates were too thin - a design error committed a half-century ago and not necessarily detectable if sensors had been attached.
Others are exploring wireless sensors, which were used in a pilot project on the Golden Gate Bridge."




http://www.philly.com/inquirer/local/20091116_Bridge_sensors_send_stress_data_to_Drexel_researchers.html

Friday, November 13, 2009

Review

1. Fundamental modeling issues on benchmark structure for structural health monitoring
Li HuaJun (Dept. of Ocean Eng., Ocean Univ. of China, Qingdao, China); Zhang Min; Wang JunRong; James, H.S.-L. Source: Science in China Series E: Technological Sciences, v 52, n 7, p 1999-2008, July 2009
2. A mobile host approach for wireless powering and interrogation of structural health monitoring sensor networks
Mascarenas, D. (Sullivan Int. Group, SAIC, San Diego, CA, USA); Flynn, E.; Farrar, C.; Park, G.; Todd, M. Source: IEEE Sensors Journal, v 9, n 12, p 1719-26, Dec. 2009
3. Localized structural health monitoring using energy-efficient wireless sensor networks
Qing Ling (Dept. of Electr. & Comput. Eng., Michigan Technol. Univ., Houghton, MI, USA); Zhi Tian; Yuejun Yin; Yue Li Source: IEEE Sensors Journal, v 9, n 11, p 1596-604, Nov. 2009
4. Autonomous sensor nodes for aircraft structural health monitoring
Becker, T. (EADS Innovation Works, Munich, Germany); Kluge, M.; Schalk, J.; Tiplady, K.; Paget, C.; Hilleringmann, U.; Otterpohl, T. Source: IEEE Sensors Journal, v 9, n 11, p 1589-95, Nov. 2009
5. Statistical classifiers for structural health monitoring
Tschope, C. (Fraunhofer-Inst. fur Zerstorungsfreie Prufverfahren, Dresden, Germany); Wolff, M. Source: IEEE Sensors Journal, v 9, n 11, p 1567-76, Nov. 2009
6. Design and Experiment of PZT Network-based Structural Health Monitoring Scanning System
Lei, Qiu (The Aeronautic Key Lab for Smart Material and Structure, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China); Shenfang, Yuan; Qiang, Wang; Yajie, Sun; Weiwei, Yang Source: Chinese Journal of Aeronautics, v 22, n 5, p 505-512, October 2009
7. Structural health monitoring for bell 407 tail boom
Purekar, Ashish (Techno-Sciences, Inc., Beltsville, MD, United States); Kothari, Kunal; Choi, Young-Tai; Wereley, Norman M.; Wilson, Henry; Bordick, Nathaniel Source: Annual Forum Proceedings - AHS International, v 2, p 946-954, 2009, 65th Annual Forum Proceedings - AHS International
8. Time reversal technique for health monitoring of metallic structure using Lamb waves
Gangadharan, R. (Department of Aerospace Engineering, Indian Institute of Science, Bangalore, 560 012, India); Murthy, C.R.L.; Gopalakrishnan, S.; Bhat, M.R. Source: Ultrasonics, v 49, n 8, p 696-705, December 2009
9. Detection of delamination damage in a composite laminate beam utilising the principle of strain compatibility
Wildy, Ben (School of Mechanical Engineering, University of Adelaide, SA 5005, Australia); Cazzolato, Andrei; Kotousov, Stuart Source: Key Engineering Materials, v 417-418, p 269-272, 2010
10. Health Monitoring System (HMS) for structural assessment
Campos e Matos, J. (Civil Eng. Dept., Univ. of Porto, Porto, Portugal); Garcia, O.; Henriques, A.A.; Casas, J.R.; Vehi, J. Source: Smart Structures and Systems, v 5, n 3, p 223-40, May 2009
11. Strain distribution monitoring wireless sensor network design and its evaluation research on aircraft wingbox
Wu, Jian (Aeronautic Key Laboratory for Smart Materials and Structures, Nanjing University of Aeronautics and Astronautics, 29# Yu Dao Street, Nanjing, 210016, China); Yuan, Shenfang; Shang, Yin; Wang, Zilong Source: International Journal of Applied Electromagnetics and Mechanics, v 31, n 1, p 17-28, 2009
12. Virtual sensors for diagnosis and prognosis purposes in the context of elastic mechanical structures
Heidtmann, F. (Dynamics & Control, Eng. Fac., Univ. of Duisburg-Essen, Duisburg, Germany); Soffker, D. Source: IEEE Sensors Journal, v 9, n 11, p 1577-88, Nov. 2009
13. Experimental study on strain and deformation monitoring of reinforced concrete structures using PPP-BOTDA
Guo Tong (Key Lab. of R.C. & P.C. Struct. of Minist. of Educ., Southeast Univ., Nanjing, China); Li Ai-Qun; Song Yong-Sheng; Zhang Biao; Liu Yang; Yu NingSheng Source: Science in China Series E: Technological Sciences, v 52, n 10, p 2859-68, Oct. 2009
14. A novel configuration-driven data mining framework for health and usage monitoring systems
Al-Kateb, Mohammed (Department of Computer Science, University of Vermont, Burlington VT 05405, United States); Joshi, Pradnya; Imadabathuni, Mahindra; Bechhoefer, Eric; He, David Source: Annual Forum Proceedings - AHS International, v 2, p 1680-1692, 2009, 65th Annual Forum Proceedings - AHS International
15. WIVA: WSN monitoring framework based on 3D visualization and augmented reality in mobile devices
Koo, Bonhyun (Convergence Lab, Digital MediaandCommunications RandD Center, Samsung Electronics, 416, Maetan-3dong, Yeongtong-gu, Suswon-si, Gyeonggi-do, Dong Suwon 442-600, Korea, Republic of); Choi, Hyohyun; Shon, Taeshik Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 5597 LNCS, p 158-165, 2009, Ambient Assistive Health and Wellness Management in the Heart of the City - 7th International Conference on Smart Homes and Health Telematics, ICOST 2009, Proceedings
16. Open systems capabilities and experience with the integrated vehicle health management system
Tayloe, Shawn (Goodrich Corporation, Vergennes, VT, United States); Flynn, Tim; Isom, Joshua Source: Annual Forum Proceedings - AHS International, v 2, p 1701-1708, 2009, 65th Annual Forum Proceedings - AHS International
17. Simultaneous edge debonding monitoring and repair of dynamically loaded concrete structures strengthened with smart composite materials
Providakis, C.P. (Department of Applied Science, Technical University of Crete, GR-73100 Chania, Greece) Source: Key Engineering Materials, v 417-418, p 33-36, 2010
18. Editorial special issue on sensors systems for structural health monitoring
Mukhopadhyay, Subhas Chandra (Massey University, School of Engineering and Advanced Technology, Palmerston North 5301, New Zealand); Chase, J. Geoffrey; Meyendorf, Norbert Source: IEEE Sensors Journal, v 9, n 11, p 1319-1321, November 2009
19. Design of an optical fibre sensor patch for longitudinal strain measurement in structures
Ramos, C.A. (Inst. Super. de Eng. do Porto (ISEP), Porto, Portugal); de Oliveira, R.; Marques, A.T. Source: Materials & Design, v 30, n 7, p 2323-31, Aug. 2009
20. CBM fundamental research at the university of south carolina: A systematic approach to U.S. army rotorcraft CBM and the resulting tangible benefits
Blechertas, Vytautas (Condition-Based Maintenance Center, Department of Mechanical Engineering, University of South Carolina, Columbia, SC, United States); Bayoumi, Abdel; Goodman, Nicholas; Shah, Ronak; Shin, Yong-June Source: American Helicopter Society International - AHS International Condition Based Maintenance Specialists Meeting 2009, p 95-114, 2008, American Helicopter Society International - AHS International Condition Based Maintenance Specialists Meeting 2009
21. Signal processing on Brillouin scattering based distributed fibre sensors
Xiao, Shang-Hui (Dept. of Physics and Electron. Engineering, Yibin University, Sichuan, 644007, China); Li, Li Source: 2009 Symposium on Photonics and Optoelectronics, SOPO 2009, 2009, 2009 Symposium on Photonics and Optoelectronics, SOPO 2009
22. Title block: Reliability centered maintenance analysis of the UH-60 drive system
Lawler, Jason (Cargo and Special Projects Team Lead, U.S. Army AMRDEC Engineering Directorate, Redstone Arsenal, AL, United States); Potts, Lee; Hurst, Ellis Source: American Helicopter Society International - AHS International Condition Based Maintenance Specialists Meeting 2009, p 33-38, 2008, American Helicopter Society International - AHS International Condition Based Maintenance Specialists Meeting 2009
23. Cost effective implementation of HUMS, AME/ALE, and CBM+ through multi-platform collaboration on open source development
Maley, Scott (Program Office Automated Logistics Environment (ALE), Leads Naval Air Systems Command, PMA-275 / V-22, Patuxent River MD, United States); Cole, Dwayne; Davis, Mark; Stonebraker, Marc Source: Annual Forum Proceedings - AHS International, v 2, p 1709-1719, 2009, 65th Annual Forum Proceedings - AHS International
24. Home health telemonitoring system based on data mining
Jiang, Xianhai (School of Mechanical and Automotive Engineering, South China University of Technology (SCUT), Guangzhou 510640, China); Xie, Cunxi Source: Proceedings - 2009 International Forum on Information Technology and Applications, IFITA 2009, v 2, p 431-434, 2009, Proceedings - 2009 International Forum on Information Technology and Applications, IFITA 2009
25. Design of processing and display system for intelligent structure characteristic data based on LabVIEW
Lang, Li-Ying (Hebei University of Engineering, Handan, Hebei Province, 056038, China); Shen, Lan Source: Proceedings of 2009 4th International Conference on Computer Science and Education, ICCSE 2009, p 604-607, 2009, Proceedings of 2009 4th International Conference on Computer Science and Education, ICCSE 2009

Wednesday, November 11, 2009

Review

1. Impact of power control in wireless sensor networks powered by ambient energy harvesting (WSN-HEAP) for railroad health monitoring
Tan, Hwee-Pink (Networking Protocols Department, Institute for Infocomm Research, Singapore); Lee, Pius W. Q.; Seah, Winston K. G.; Eu, Zhi Ang Source: Proceedings - International Conference on Advanced Information Networking and Applications, AINA, p 804-809, 2009, Proceedings - 2009 International Conference on Advanced Information Networking and Applications Workshops, WAINA 2009
2. Rotations in a shear-beam model of a seven-story building caused by nonlinear waves during earthquake excitation
Gicev, V. (Rudarsko-geoloski fakultet, Slip, Macedonia); Trifunac, M.D. Source: Structural Control and Health Monitoring, v 16, n 4, p 460-82, June 2009
3. Field measurement on wind characteristic and buffeting response of the Runyang suspension bridge during typhoon Matsa
Wang Hao (Coll. of Civil Eng., Southeast Univ., Nanjing, China); Li AiQun; Guo Tong; Xie Jing Source: Science in China Series E: Technological Sciences, v 52, n 5, p 1354-62, May 2009
4. Orthogonal frequency coded SAW sensors for aerospace SHM applications
Wilson, W.C. (Virginia Commonwealth Univ., Richmond, VA, USA); Malocha, D.C.; Kozlovski, N.; Gallagher, D.R.; Fisher, B.; Pavlina, J.; Saldanha, N.; Puccio, D.; Atkinson, G.M. Source: IEEE Sensors Journal, v 9, n 11, p 1546-56, Nov. 2009
5. Remote sensing for bridge health monitoring
Liu, Wanqiu (Department of Civil and Environmental Eng., UNCC, 9201 University City Boulevard, Charlotte, NC 28223-0001, United States); Chen, She-Een; Hauser, Edd Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7456, 2009, Atmospheric and Environmental Remote Sensing Data Processing and Utilization V: Readiness for GEOSS III
6. Upper bound H∞ and H2 control for collocated structural systems
Hiramoto, K. (Dept. of Mech. Eng., Akita Univ., Akita, Japan); Grigoriadis, K. Source: Structural Control and Health Monitoring, v 16, n 4, p 425-40, June 2009
8. ERA modal identification method for hydraulic structures based on order determination and noise reduction of singular entropy
Lian JiJian (Sch. of Civil Eng., Tianjin Univ., Tianjin, China); Li HuoKun; Zhang JianWei Source: Science in China Series E: Technological Sciences, v 52, n 2, p 400-12, Feb. 2009
9. Condition monitoring and diagnosis for subsea control systems. A subsystem prototype
Altamiranda, E. (Subsea Control Syst. Eng. Dept., VetcoGray a GE Oil & Gas Bus., Stavanger, Norway); Kiaer, L.; Hu, X. Source: OCEANS 2009-EUROPE (OCEANS), p 6 pp., 2009
10. Blast analysis of concrete arch structures for FRP retrofitting design
Nam, Jin-Won (Department of Civil and Environmental Engineering, University of California, Davis One Shield Ave., Davis, CA 95616, United States); Kim, Ho-Jin; Yi, Na-Hyun; Kim, In-Soon; Kim, Jang-Ho Jay; Choi, Hyung-Jin Source: Computers and Concrete, v 6, n 4, p 305-318, August 2009

11. Vibration signature analysis of high-speed unbalanced rotors supported by rolling-element bearings due to off-sized rolling elements
Upadhyay, Sanjay H. (Mechanical and Industrial Engineering Department, Indian Institute of Technology, Roorkee, India); Harsha, Suraj P.; Jain, S.C. Source: International Journal of Acoustics and Vibrations, v 14, n 3, p 163-171, September 2009


13. A novel method of searching appropriate ranges of base isolation design parameters through entropy-based classification
Pei Chiung Huang (Dept. of Civil Eng., Nat. Chung Hsing Univ., Taichung, Taiwan); Shiuan Wan; Jia Yih Yen Source: Structural Control and Health Monitoring, v 16, n 4, p 385-405, June 2009

14. Simultaneous state estimation and parameter tuning in a shear building with a magneto-rheological damper
Jimenez-Fabian, R. (Inst. de Ing., Univ. Nac. Autonoma de Mexico Circuito Exterior, Mexico City, Mexico); Alvarez-Icaza, L. Source: Structural Control and Health Monitoring, v 16, n 4, p 483-502, June 2009

15. Hydrogen energy demonstration plant in Patagonia: description and safety issues
Aprea, J.L. (CNEA (Argentine Atomic Energy Comm.), Comahue Univ., Neuquen, Argentina) Source: International Journal of Hydrogen Energy, v 34, n 10, p 4684-91, May 2009

Sunday, November 1, 2009

Review

1. Dual scale structural health monitoring system combining FBG sensors and laser scanning
Lima, Hugo F. (I3N-Aveiro, Physics Department, University of Aveiro, 381-193 Aveiro, Portugal); Domingues, M. Fátima; Nogueira, Rogério N.; André, Paulo; Pinto, João L. Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7391, 2009, O3A: Optics for Arts, Architecture, and Archaeology II
2. Feature extraction and selection from vibration measurements for structural health monitoring
Toivola, Janne (Department of Information and Computer Science, Helsinki University of Technology, P.O. Box 5400, Espoo, TKK FI-02015, Finland); Hollmén, Jaakko Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v 5772 LCNS, p 213-224, 2009, Advances in Intelligent Data Analysis VIII - 8th International Symposium on Intelligent Data Analysis, IDA 2009, Proceedings
3. WSNs for structural health monitoring of historical buildings
Anastasi, Giuseppe (Dept. of Information Engineering, University of Pisa, Via Diotisalvi, 2, 56122 Pisa, Italy); Lo Re, Giuseppe; Ortolani, Marco Source: Proceedings - 2009 2nd Conference on Human System Interactions, HSI '09, p 574-579, 2009, Proceedings - 2009 2nd Conference on Human System Interactions, HSI '09
4. Feature extraction and sensor fusion for ultrasonic structural health monitoring under changing environmental conditions
Yinghui Lu (Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA); Michaels, J.E. Source: IEEE Sensors Journal, v 9, n 11, p 1462-71, Nov. 2009
5. Optimal planning of structural performance monitoring based on reliability importance assessment
Kim, Sunyong (Department of Civil and Environmental Engineering, ATLSS Center, Lehigh University, 117 ATLSS Dr, Bethlehem, PA 18015-4729, United States); Frangopol, Dan M. Source: Probabilistic Engineering Mechanics, v 25, n 1, p 86-98, January 2010
6. Vertical displacement measurements for bridges using optical fiber sensors and CCD cameras a preliminary study
Chan, T.H.T. (Sch. of Urban Dev., Queensland Univ. of Technol., Brisbane, QLD, Australia); Ashebo, D.B.; Tarn, H.Y.; Yu, Y.; Chan, T.F.; Lee, P.C.; Gracia, E.P. Source: Structural Health Monitoring, v 8, n 3, p 243-9, May 2009
7. On selection of data fusion schemes for structural damage evaluation
Zhongqing Su (Dept. of Mech. Eng., Hong Kong Polytech. Univ., Kowloon, China); Xiaoming Wang; Li Cheng; Long Yu; Zhiping Chen Source: Structural Health Monitoring, v 8, n 3, p 223-41, May 2009
8. Embedded algorithms within an FPGA to classify nonlinear single-degree-of-freedom systems
Jones, J.D. (Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA); Jin-Song Pei Source: IEEE Sensors Journal, v 9, n 11, p 1486-93, Nov. 2009
9. Implementation of a long-term bridge weigh-in-motion system for a steel girder bridge in the interstate highway system
Cardini, A.J. (AECOM Transportation, Boston, MA 02110, United States); Dewolf, John T. Source: Journal of Bridge Engineering, v 14, n 6, p 418-423, 2009
10. Mobile health monitoring for the elderly: Designing for diversity
Lorenz, Andreas (Fraunhofer FIT, Schloss Birlinghoven, D-53754 St. Augustin, Germany); Oppermann, Reinhard Source: Pervasive and Mobile Computing, v 5, n 5, p 478-495, October 2009
11. Self-diagnosis of smart structures based on dynamical properties
Fritzen, C.-P. (Dept. of Mech. Eng., Univ. of Siegen, Siegen, Germany); Kraemer, P. Source: Mechanical Systems and Signal Processing, v 23, n 6, p 1830-45, Aug. 2009
12. Damage identification by multi-model updating in the modal and in the time domain
Link, M. (Inst. of Statics & Struct. Dynamics, Univ. of Kassel, Kassel, Germany); Weiland, M. Source: Mechanical Systems and Signal Processing, v 23, n 6, p 1734-46, Aug. 2009
13. Fatigue reliability assessment of retrofitted steel bridges integrating monitored data
Liu, Ming (Department of Civil and Environmental Engineering, Advanced Technology for Large Structural Systems (ATLSS) Center, Lehigh University, Bethlehem, PA 18015-4729, United States); Frangopol, Dan M.; Kwon, Kihyon Source: Structural Safety, v 32, n 1, p 77-89, January 2010
14. Harsh environment silicon carbide sensors for health and performance monitoring of aerospace systems: a review
Senesky, D.G. (Univ. of California, Berkeley, CA, USA); Jamshidi, B.; Kan Bun Cheng; Pisano, A.P. Source: IEEE Sensors Journal, v 9, n 11, p 1472-8, Nov. 2009
15. A method for the localization of damage in a CFRP plate using damping
Montalvao, D. (Dept. of Mech. Eng., Escola Super. de Tecnol. de Setubal, Setubal, Portugal); Ribeiro, A.M.R.; Duarte-Silva, J. Source: Mechanical Systems and Signal Processing, v 23, n 6, p 1846-54, Aug. 2009
16. Wireless sensor networks for strain monitoring during steel bridges launching
Chacon, R. (Constr. Eng. Dept., Univ. Politec. de Catalunya UPC, Barcelona, Spain); Guzman, F.; Mirambell, E.; Real, E.; Onate, E. Source: Structural Health Monitoring, v 8, n 3, p 195-205, May 2009
17. Factors influencing health information technology adoption in Thailand's community health centers: applying the UTAUT model
Kijsanayotin, B. (Bur. of Policy & Strategy, Minist. of Public Health, Nonthaburi, Thailand); Pannarunothai, S.; Speedie, S.M. Source: International Journal of Medical Informatics, v 78, n 6, p 404-16, June 2009
18. Er3+-activated photonic structures fabricated by sol-gel and rf-sputtering techniques
Ferrari, M. (CNR-IFN, CSMFO Lab., via alla Cascata 56/C, Povo, 38123 Trento, Italy); Alombert-Goget, G.; Armellini, C.; Berneschi, S.; Bhaktha, S.N.B.; Boulard, B.; Brenci, M.; Chiappini, A.; Chiasera, A.; Duverger-Arfuso, C.; Féron, P.; Gonçalves, R.R.; Jestin, Y.; Minati, L.; Moser, E.; Nunzi Conti, G.; Pelli, S.; Rao, D.N.; Retoux, R.; Righini, G.C.; Speranza, G. Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7366, 2009, Photonic Materials, Devices, and Applications III
19. Antenna/sensor multifunctional composites for the wireless detection of damage
Matsuzaki, Ryosuke (Department of Mechanical Sciences and Engineering, Tokyo Institute of Technology, 2-12-1 O-okayama, Meguro-ku, Tokyo, 152-8552, Japan); Melnykowycz, Mark; Todoroki, Akira Source: Composites Science and Technology, v 69, n 15-16, p 2507-2513, December 2009
20. Localized damage detection of structures subject to multiple ambient excitations using two distance measures for autoregressive models
Haitao Zheng (Dept. of Syst. Design Eng., Keio Univ., Yokohama, Japan); Mita, A. Source: Structural Health Monitoring, v 8, n 3, p 207-22, May 2009
21. Mobile agent technology for distributed sensing and actuation systems
Chen, Bo (Department of Mechanical Engineering - Engineering Mechanics, Michigan Technological University, Houghton, MI 49931, United States) Source: 2008 Proceedings of the ASME Dynamic Systems and Control Conference, DSCC 2008, n PART B, p 1479-1485, 2009, 2008 Proceedings of the ASME Dynamic Systems and Control Conference, DSCC 2008
22. Providing real-time indoor air analytical results at a medical facility prior and subsequent to a chlorine dioxide fumigation using a Trace Atmospheric Gas Analyzer (TAGA) mounted on a moveable platform
Mickunas, David B. (US Environmental Protection Agency/Environmental Response Team, Mail Code E343-04, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, United States); Blaze, Stephen L.; Wood, J.; Thompson, S.; Weeks, W. Source: Air and Waste Management Association: Symposium on Air Quality Measurement Methods and Technology 2008, p 535-539, 2008, Air and Waste Management Association: Symposium on Air Quality Measurement Methods and Technology 2008
23. Cache-aware optimization of BAN applications
Ju, Lei (Department of Computer Science, National University of Singapore, Singapore, Singapore); Liang, Yun; Chakraborty, Samarjit; Mitra, Tulika; Roychoudhury, Abhik Source: Design Automation for Embedded Systems, v 13, n 3, p 159-178, September 2009
24. Effects of pH on the rieske protein from thermus thermophilus: A spectroscopic and structural analysis
Konkle, Mary E. (Department of Chemistry, Trinity University, One Trinity Place, San Antonio, TX 78212, United States); Muellner, Sarah K.; Schwander, Anika L.; Dicus, Michelle M.; Pokhrel, Ravi; Britt, R. David; Taylor, Alexander B.; Hunsicker-Wang, Laura M. Source: Biochemistry, v 48, n 41, p 9848-9857, October 20, 2009
25. Using field analytics to resolve vapor intrusion issues
Mickunas, David B. (US Environmental Protection Agency, Environmental Response Team, Mail Code E343-04, 109 T.W. Alexander Drive, Research Triangle Park, NC 27711, United States); Blaze, Stephen L.; Wood, J.; Thompson, S.; McCall, D.; Shields, C.; Weeks, W.; Magan, R. Source: Air and Waste Management Association: Symposium on Air Quality Measurement Methods and Technology 2008, p 103-107, 2008, Air and Waste Management Association: Symposium on Air Quality Measurement Methods and Technology 2008

Sunday, October 25, 2009

Review

1. Real-time system identification of a nonlinear four-story steel frame structure - application to structural health monitoring
Hann, C.E. (Dept. of Mech. Eng., Univ. of Canterbury, Christchurch, New Zealand); Singh-Levett, I.; Deam, B.L.; Mander, J.B.; Chase, J.G. Source: IEEE Sensors Journal, v 9, n 11, p 1339-46, Nov. 2009

2. An integrated sensing/communication architecture for structural health monitoring
Merlino, P. (Dipt. di Ing. Elettr., Gestionale e Meccanica, Univ. of Udine, Udine, Italy); Abramo, A. Source: IEEE Sensors Journal, v 9, n 11, p 1397-404, Nov. 2009

3. Structural health monitoring of bridges using acoustic emission technology
Tan, A.C.C. (Fac. of Built Environ. & Eng., Queensland Univ. of Technol., Brisbane, QLD, Australia); Kaphle, M.; Thambiratnam, D. Source: 2009 8th International Conference on Reliability, Maintainability and Safety (ICRMS 2009), p 839-43, 2009

4. The development of robust structural health monitoring sensors utilizing TRIP steel
Bemont, C.P. (Univ. of KwaZulu-Natal, Durban, South Africa) Source: IEEE Sensors Journal, v 9, n 11, p 1449-55, Nov. 2009

5. Frequency domain based damage index for structural health monitoring
Giridhara, G. (Department of Mechanical Engineering, BMS College of Engineering, Bangalore 560019, India); Gopalakrishnan, S. Source: SDHM Structural Durability and Health Monitoring, v 5, n 1, p 1-31, 2009

6. Self-powered sensors for monitoring of highway bridges
Sazonov, E. (Dept. of Electr. & Comput. Eng., Clarkson Univ., Potsdam, NY, USA); Haodong Li; Curry, D.; Pillay, P. Source: IEEE Sensors Journal, v 9, n 11, p 1422-9, Nov. 2009

7. Fault-mode classification for health monitoring of electronics subjected to drop and shock
Lall, Pradeep (Auburn University, Department of Mechanical Engineering, NSF Center for Advanced Vehicle and Extreme Environment Electronics (CAVE3), Auburn, AL 36849, United States); Gupta, Prashant; Panchagade, Dhananjay; Angral, Arjun Source: Proceedings - Electronic Components and Technology Conference, p 668-681, 2009, 2009 Proceedings 59th Electronic Components and Technology Conference, ECTC 2009

8. Real time damage state estimation and condition based residual useful life estimation of a metallic specimen under biaxial loading
Mohanty, S. (Department of Mechanical and Aerospace Engineering, ASU, Tempe, AZ, United States); Chattopadhyay, A.; Wei, J.; Peralta, P. Source: SDHM Structural Durability and Health Monitoring, v 5, n 1, p 33-55, 2009



9. Highway bridge assessment using an adaptive real-time wireless sensor network
Whelan, M.J. (Clarkson Univ., Potsdam, NY, USA); Gangone, M.V.; Janoyan, K.D. Source: IEEE Sensors Journal, v 9, n 11, p 1405-13, Nov. 2009



10. Sensibility study for the near-field sub-band beamforming method for damage detection in bridges
Medda, Alessio (Department of Electrical and Computer Engineering, Florida State University); De Brunner, Victor Source: Conference Record - Asilomar Conference on Signals, Systems and Computers, p 398-401, 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008



11. Sensitivity of Eigen value to damage and its identification
Raghuprasad, B.K. (Indian Inst. of Sci., Bangalore, India); Lakshmanan, N.; Gopalakrishnan, N.; Muthumani, K. Source: Structural Durability & Health Monitoring, v 4, n 3, p 117-44, 2008



12. 3D integration technologies for ceramic substrates in a SHM application
Hildebrandt, S. (Electron. Packaging Lab., Dresden Univ. of Technol., Dresden, Germany); Wolter, K.-J. Source: 2009 European Microelectronics and Packaging Conference (EMPC), p 5 pp., 2009



13. Research on delamination monitoring for composite structures based on HHGA-WNN
Shi-jie Zheng (Aeronaut. Sci. Key Lab. of Smart Mater. & Struct., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China); Zheng-qiang Li; Hong-tao Wang Source: Applied Soft Computing, v 9, n 3, p 918-23, June 2009



14. RF cavity passive wireless sensors with time-domain gating-based interrogation for SHM of civil structures
Thomson, D.J. (Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada); Card, D.; Bridges, G.E. Source: IEEE Sensors Journal, v 9, n 11, p 1430-8, Nov. 2009



15. Implementation and evaluation of a ubiquitous health monitoring system
Yamazaki, Akira (Department of Informatics, Graduate School of Science And Engineering, Yamagata University, Japan); Koyama, Akio; Arai, Junpei; Barolli, Leonard Source: Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009, p 367-374, 2009, Proceedings of the International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2009



16. Optimizing energy-latency trade-off in sensor networks with controlled mobility
Sugihara, Ryo (CSE Department, University of California, San Diego, San Diego, CA 92093, United States); Gupta, Rajesh K. Source: Proceedings - IEEE INFOCOM, p 2566-2570, 2009, IEEE INFOCOM 2009 - The 28th Conference on Computer Communications



17. A survey of recent physiological monitoring and transmission to support the service of critical care
McGregor, C. (Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada); Smith, K.P.; Eklund, J.M. Source: 2009 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS), p 7 pp., 2009



18. Dynamic finite element model updating of prestressed concrete continuous box-girder bridge
Lin, Xiankun (Institute of Vibration Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China); Zhang, Lingmi; Guo, Qintao; Zhang, Yufeng Source: Earthquake Engineering and Engineering Vibration, v 8, n 3, p 399-407, September 2009



19. Submillimeter crack detection with Brillouin-based fiber-optic sensors
Ravet, F. (Omnisens SA, Morges, Switzerland); Briffod, F.; Glisic, B.; Nikles, M.; Inaudi, D. Source: IEEE Sensors Journal, v 9, n 11, p 1391-6, Nov. 2009



20. Case studies on vibration based damage identification: multi-criteria approach
Chan, T.H.T. (Fac. of Built Environ. & Eng., Queensland Univ. of Technol., Brisbane, QLD, Australia); Shih, H.W.; Thambiratnam, D.P. Source: 2009 8th International Conference on Reliability, Maintainability and Safety (ICRMS 2009), p 1242-7, 2009



21. A survey of physiological monitoring data models to support the service of critical care
McGregor, C. (Inst. of Technol., Univ. of Ontario, Oshawa, ON, Canada); Smith, K.P. Source: 2009 33rd Annual IEEE International Computer Software and Applications Conference (COMPSAC 2009), p 104-9, 2009



22. Fatigue analysis of spot-welded joint for automative structures
Rahman, M.M. (Fac. of Mech. Eng., Univ. Malaysia Pahang, Kuantan, Malaysia); Arrifin, A.K.; Nor, M.J.M.; Abdullah, S. Source: Structural Durability & Health Monitoring, v 4, n 3, p 173-80, 2008



23. Brillouin spectral response depending on strain non-uniformity within centimeter spatial resolution and its application to internal damage detection in large-scale composite structures
Minakuchi, Shu (Department of Advanced Energy, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa-shi, Chiba 277-8561, Japan); Mizutani, Tadahito; Tsukamoto, Haruka; Nishio, Mayuko; Okabe, Yoji; Takeda, Nobuo Source: SDHM Structural Durability and Health Monitoring, v 4, n 4, p 199-219, 2008



24. Evaluation of concrete penetration depth under impact loading employing empirical formulae
Murthy, A. Rama Chandra (Structural Engineering Research Centre, CSIR Campus, Taramani, Chennai-600 113, India); Palani, G.S.; Iyer, Nagesh R. Source: SDHM Structural Durability and Health Monitoring, v 4, n 4, p 221-229, 2008



25. FE analysis of a notched cylinder under multiaxial cyclic loading using the multilayer model of Besseling
Savaidis, G. (Aristotle Univ. Thessaloniki, Thessaloniki, Greece); Pitatzis, N.; Savaidis, A.; Zhang, C. Source: Structural Durability & Health Monitoring, v 4, n 3, p 145-60, 2008

Sunday, October 18, 2009

review

1. Periodic seismic performance evaluation of highway bridges using structural health monitoring system
Jin-Hak Yi (Coastal Eng. & Ocean Energy Res. Dept., Korea Ocean R&D Inst., Ansan, South Korea); Dookie Kim; Fengt, M.Q. Source: Structural Engineering and Mechanics, v 31, n 5, p 527-44, 30 March 2009


2. Force sensor system for structural health monitoring using passive RFID tags
Ikemoto, Yusuke (Research into Artifacts, Center for Engineering, University of Tokyo, Kashiwa-shi, Chiba, Japan); Suzuki, Shingo; Okamoto, Hiroyuki; Murakami, Hiroki; Asama, Hajime; Morishita, Soichiro; Mishima, Taketoshi; Lin, Xin; Itoh, Hideo Source: Sensor Review, v 29, n 2, p 127-136, 2009



3. Bio-inspired sensor skins for structural health monitoring
Tata, U. (Dept. of Mech. & Aerosp. Eng., Univ. of Texas at Arlington, Arlington, TX, USA); Deshmukh, S.; Chiao, J.C.; Carter, R.; Huang, H. Source: Smart Materials and Structures, v 18, n 10, p 104026 (8 pp.), Oct. 2009



4. A new impedance measurement system for PZT-based structural health monitoring
Baptista, F.G. (Dept. of Electr. Eng., Sao Paulo State Univ. (UNESP), Ilha Solteira, Brazil); Filho, J.V. Source: IEEE Transactions on Instrumentation and Measurement, v 58, n 10, p 3602-8, Oct. 2009



5. Real-time wireless vibration monitoring for operational modal analysis of an integral abutment highway bridge
Whelan, Matthew J. (Clarkson University, Department of Civil and Environmental Engineering, Potsdam, NY 13699-5712, United States); Gangone, Michael V.; Janoyan, Kerop D.; Jha, Ratneshwar Source: Engineering Structures, v 31, n 10, p 2224-2235, October 2009



6. Ayushman: A secure, usable pervasive health monitoring system
Venkatasubramanian, K. (IMPACT Lab., School of Computing and Informatics, Arizona State University, Tempe, AZ 85287, United States); Gupta, S.K. Source: Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments, HealthNet'08, 2008, Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments, HealthNet'08



7. Averaged acoustic emission events for accurate damage localization
Ince, N.F. (Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States); Kao, Chu-Shu; Kaveh, M.; Tewfik, A.; Labuz, J.F. Source: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, p 2201-2204, 2009, 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009



8. Health monitoring using support vector classification on an auxiliary power unit
Vieira, Fábio Manzoni (EMBRAER, Empresa Brasileira de Aeronáutica S.A., Av. Brigadeiro Faria Lima, 2170, Putim 12227-901 - São José dos Campos - SP, Brazil); Bizarria, Cintia De Oliveira; Nascimento Jr., Cairo Lúcio; Fitzgibbon, Kevin Theodore Source: IEEE Aerospace Conference Proceedings, 2009, 2009 IEEE Aerospace Conference



9. Remote health monitoring increases reliability and condition-based maintenance
Green, Bruce (GBS Group, Bldg. 3300 South, 397 Little Neck Rd., Virginia Beach, VA 23452, United States); Hull, George; Hurtado, Juan; Harvill, Mark Source: American Society of Mechanical Engineers, Rail Transportation Division (Publication) RTD, p 143-148, 2009, 2008 Proceedings of the ASME Rail Transportation Division Fall Conference



10. The application of 1-3 cement-based piezoelectric transducers in active and passive health monitoring for concrete structures
Lei Qin (Sch. of Civil & Archit. Eng., Univ. of Jinan, Jinan, China); Shifeng Huang; Xin Cheng; Youyuan Lu; Zongjin Li Source: Smart Materials and Structures, v 18, n 9, p 095018 (8 pp.), Sept. 2009



11. Wireless and embedded carbon nanotube networks for damage detection in concrete structures
Saafi, Mohamed (Department of Construction Engineering and Management, North Dakota State University, Fargo, ND 58108, United States) Source: Nanotechnology, v 20, n 39, 2009



12. Smart bridges under development with new federal grant
Source: Noise & Vibration Worldwide, v 40, n 3, p 10-11, March 2009



13. Sensor system selection for prognostics and health monitoring
Cheng, Shunfeng (Proanostics and Health Manaqement Lab); Azarian, Michael; Pechf, Michael Source: 2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008, v 3, n PART B, p 1383-1389, 2009, 2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008



14. Hierarchical fault diagnosis and health monitoring in multi-platform space systems
Barua, A. (Department of Electrical and Computer Engineering, Concordia University, Montreal, QC H3G 1M8, Canada); Khorasani, K. Source: IEEE Aerospace Conference Proceedings, 2009, 2009 IEEE Aerospace Conference



15. Aircraft flap and slat systems health monitoring using statistical process control techniques
Leão, Bruno P. (EMBRAER, Empresa Brasileira de Aeronáutica S.A., Av. Brigadeiro Faria Lima, 2170, Putim São José dos Campos, SP 12227-901, Brazil); Gomes, João P. P.; Galvão, Roberto K. H.; Yoneyama, Takashi Source: IEEE Aerospace Conference Proceedings, 2009, 2009 IEEE Aerospace Conference



16. Diagnostic enhancements for air vehicle HUMS to increase prognostic system effectiveness
Patrick, Romano (Impact Technologies, LLC, 200 Canal View Blvd., Rochester, NY 14623, United States); Smith, Matthew J.; Zhang, Bin; Byington, Carl S.; Vachtsevanos, George J.; Del Rosario, Romeo Source: IEEE Aerospace Conference Proceedings, 2009, 2009 IEEE Aerospace Conference



17. Damage identification by computational model updating
Link, Michael (Institute of Statics and Structural Dynamics, University of Kassel, Germany); Weiland, Matthias Source: 2008 Proceedings of the 9th Biennial Conference on Engineering Systems Design and Analysis, v 2, p 683-693, 2009, 2008 Proceedings of the 9th Biennial Conference on Engineering Systems Design and Analysis



18. Prognostics and health monitoring for an electro-hydraulic flight control actuator
Bizarria, Cintia De Oliveira (EMBRAER, Empresa Brasileira de Aeronáutica S.A., Av. Brigadeiro Faria Lima, 2170, Putim São José dos Campos, SP 12227-901, Brazil); Yoneyama, Takashi Source: IEEE Aerospace Conference Proceedings, 2009, 2009 IEEE Aerospace Conference



19. Quality of Service consideration for the wireless telemedicine and e-health services
Zvikhachevskaya, Anna (Department of Communication Systems (InfoLab21), Lancaster University, Lancaster, United Kingdom); Markarian, Garik; Mihaylova, Lyudmila Source: IEEE Wireless Communications and Networking Conference, WCNC, 2009, 2009 IEEE Wireless Communications and Networking Conference, WCNC 2009 - Proceedings



20. Exploring early evaluation techniques of ambient health promoting devices in home environments of senior citizens living independently
Rege, Rajasee (School of Informatics, Indiana University, Bloomington, IN 47408, United States); Jung, Heekyoung; Hazelwood, William; Orlov, Greg; Connelly, Kay; Shankar, Kalpana Source: Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments, HealthNet'08, 2008, Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments, HealthNet'08



21. Configuring and enhancing measurement systems for damage identification
Kripakaran, Prakash (Applied Computing and Mechanics Laboratory (IMAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), Station 18, 1015 Lausanne, Switzerland); Smith, Ian. F.C. Source: Advanced Engineering Informatics, v 23, n 4, p 424-432, October 2009



22. Statistical pattern recognition and built-in reliability test for feature extraction and health monitoring of electronics under shock loads
Lall, Pradeep (Department of Mechanical Engineering, National Science Foundation's Center for Advanced Vehicle and Extreme Environment Electronics, Auburn University, Auburn, AL 36849, United States); Choudhary, Prakirti; Gupte, Sameep; Hofmeister, James Source: IEEE Transactions on Components and Packaging Technologies, v 32, n 3, p 600-616, 2009



23. Condition based maintenance of military ground vehicles
Rabeno, Eric (US Army Materiel Systems Analysis Activity (AMSAA), Bldg. 392 (AMSRD-AMS-LA), 392 Hopkins Road, Aberdeen Proving Ground, MD 21005-5071, United States); Bounds, Mark Source: IEEE Aerospace Conference Proceedings, 2009, 2009 IEEE Aerospace Conference



24. The AIV quick look and health monitoring system of the AGILE payload
Bulgarelli, Andrea (INAF, IASF Bologna, Italy); Gianotti, Fulvio; Trifoglio, Massimo; Di Cocco, Guido; Tavani, Marco; Marisaldi, Martino Source: Proceedings of SPIE - The International Society for Optical Engineering, v 7011, 2008, Space Telescopes and Instrumentation 2008: Ultraviolet to Gamma Ray



25. A localized vibration response technique for damage detection in bridges
Medda, Alessio (Department of Electrical and Computer Engineering, FAMU-FSU College of Engineering, Florida State University); DeBrunner, Victor Source: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, p 1337-1340, 2009, 2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009