Sensors are used for civil infrastructure performance assessment and health monitoring, and have evolved significantly through developments in materials and methodologies. Sensor Technologies for Civil Infrastructure Volume II provides an overview of sensor data analysis and case studies in assessing and monitoring civil infrastructures. Part one focuses on sensor data interrogation and decision making, with chapters on data management technologies, data analysis, techniques for damage detection and structural damage detection. Part two is made up of case studies in assessing and monitoring…mehr
Sensors are used for civil infrastructure performance assessment and health monitoring, and have evolved significantly through developments in materials and methodologies. Sensor Technologies for Civil Infrastructure Volume II provides an overview of sensor data analysis and case studies in assessing and monitoring civil infrastructures.
Part one focuses on sensor data interrogation and decision making, with chapters on data management technologies, data analysis, techniques for damage detection and structural damage detection. Part two is made up of case studies in assessing and monitoring specific structures such as bridges, towers, buildings, dams, tunnels, pipelines, and roads.
Sensor Technologies for Civil Infrastructure provides a standard reference for structural and civil engineers, electronics engineers, and academics with an interest in the field.
Produktdetails
Produktdetails
Woodhead Publishing Series in Civil and Structural Engineering 2
Ming Wang is COE Distinguished Professor in the Department of Civil and Envinronmental Engineering at Northeastern University, Massachusetts. Jerome Lynch is Associate Professor of Civil and Environmental Engineering and Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. He is also Director of the University's Laboratory for Intelligent Systems and Technologies. Hoon Sohn is Professor of Civil and Environmental Engineering at the Korean Advanced Institute of Science and Technology, South Korea.
Inhaltsangabe
Part I: Sensor data interrogation and decision making 1 Sensor Data Management Technologies for Infrastructure Asset Management K. H. Law, Stanford University, USA, K. Smarsly, Bauhaus University Weimar, Germany and Y. Wang, Georgia Institute of Technology, USA 2 Sensor Data Analysis, Reduction and Fusion for Assessing and Monitoring Civil Infrastructures D. Zonta, University of Trento, Italy 3 Analytical techniques for damage detection and localization for assessing and monitoring civil infrastructures D. Bernal, Northeastern University, USA 4 Output only Modal Identification and Structural Damage Detection using Time Frequency and Wavelet Techniques for Assessing and Monitoring Civil Infrastructures S. S. Nagarajaiah, Rice University U.S.A, B. Basu, Trinity College Dublin, Ireland and Y. Yang, Rice University, USA 5 Prognosis and Life-Cycle Assessment Based on Structural Health Monitoring (SHM) Information D. M. Frangopol, Lehigh University, USA and S. Kim, Korea Hydro and Nuclear Power Co., Ltd, Republic of Korea 6 System Level Design of a Roaming Multi-Modal Multi-Sensor System for Assessing and Monitoring Civil Infrastructures R. Birken, Northeastern University, USA , J. Zhang, Northeastern University, USA and G. Schirner, Northeastern University, USA Part II: Case studies in assessing and monitoring specific structures 7 Sensing Solutions for Assessing and Monitoring Bridges J. M.W Brownjohn, K-Y. Koo and N. de Battista, University of Exeter, UK 8 Sensing Solutions for Assessing and Monitoring Seismically-Excited Buildings A. Mita, Keio University, Japan 9 Sensing solutions for assessing and monitoring super-tall towers Y. Q. Ni, The Hong Kong Polytechnic University, Hong Kong 10 Sensing Solutions for Assessing and Monitoring Dams C-H. Loh, National Taiwan University, Taiwan 11 Sensing Solutions for Assessing and Monitoring Tunnels N. A. Hoult, Queen's University, Canada and K. Soga, University of Cambridge, UK 12 Mapping Subsurface Utilities with Mobile Electromagnetic Geophysical Sensor Arrays R. Birken, Northeastern University, USA and M. Oristaglio, Yale University, USA 13 Sensing solutions for assessing the stability of levees, sinkholes and landslides D. Inaudi, SMARTEC SA, Switzerland 14 Sensing Solutions for Assessing and Monitoring Pipeline Systems B. Glisic, Princeton University, USA 15 Sensing Solutions for Assessing and Monitoring Roads M. L. Wang and R. Birken, Northeastern University, USA 16 Sensing Solutions for Assessing and Monitoring Railroad tracks P. Rizzo, University of Pittsburgh, USA 17 Sensing solutions for assessing and monitoring underwater systems P. Rizzo, University of Pittsburgh, USA 18 Sensing Solutions for Assessing and Monitoring Offshore Structures M. H. Kim and J. M. Lee, Pusan National University, South Korea 19 Sensing Solutions for Assessing and Monitoring Wind Turbines R. Rolfes,S. Tsiapoki and M.W. Häckell, Gottfried Wilhelm Leibniz Universität Hannover, Germany 20 Sensing Solutions for Assessing and Monitoring of Nuclear Power Plants (NPPs) H. Sohn, J. Y. Yang, H. S. Lee and B. J. Park, Korea Advanced Institute of Science and Technology (KAIST), South Korea 21 Sensing Solutions for Assessing and Monitoring Power Systems I. A. Hiskens, University of Michigan, USA
Part I: Sensor data interrogation and decision making 1 Sensor Data Management Technologies for Infrastructure Asset Management K. H. Law, Stanford University, USA, K. Smarsly, Bauhaus University Weimar, Germany and Y. Wang, Georgia Institute of Technology, USA 2 Sensor Data Analysis, Reduction and Fusion for Assessing and Monitoring Civil Infrastructures D. Zonta, University of Trento, Italy 3 Analytical techniques for damage detection and localization for assessing and monitoring civil infrastructures D. Bernal, Northeastern University, USA 4 Output only Modal Identification and Structural Damage Detection using Time Frequency and Wavelet Techniques for Assessing and Monitoring Civil Infrastructures S. S. Nagarajaiah, Rice University U.S.A, B. Basu, Trinity College Dublin, Ireland and Y. Yang, Rice University, USA 5 Prognosis and Life-Cycle Assessment Based on Structural Health Monitoring (SHM) Information D. M. Frangopol, Lehigh University, USA and S. Kim, Korea Hydro and Nuclear Power Co., Ltd, Republic of Korea 6 System Level Design of a Roaming Multi-Modal Multi-Sensor System for Assessing and Monitoring Civil Infrastructures R. Birken, Northeastern University, USA , J. Zhang, Northeastern University, USA and G. Schirner, Northeastern University, USA Part II: Case studies in assessing and monitoring specific structures 7 Sensing Solutions for Assessing and Monitoring Bridges J. M.W Brownjohn, K-Y. Koo and N. de Battista, University of Exeter, UK 8 Sensing Solutions for Assessing and Monitoring Seismically-Excited Buildings A. Mita, Keio University, Japan 9 Sensing solutions for assessing and monitoring super-tall towers Y. Q. Ni, The Hong Kong Polytechnic University, Hong Kong 10 Sensing Solutions for Assessing and Monitoring Dams C-H. Loh, National Taiwan University, Taiwan 11 Sensing Solutions for Assessing and Monitoring Tunnels N. A. Hoult, Queen's University, Canada and K. Soga, University of Cambridge, UK 12 Mapping Subsurface Utilities with Mobile Electromagnetic Geophysical Sensor Arrays R. Birken, Northeastern University, USA and M. Oristaglio, Yale University, USA 13 Sensing solutions for assessing the stability of levees, sinkholes and landslides D. Inaudi, SMARTEC SA, Switzerland 14 Sensing Solutions for Assessing and Monitoring Pipeline Systems B. Glisic, Princeton University, USA 15 Sensing Solutions for Assessing and Monitoring Roads M. L. Wang and R. Birken, Northeastern University, USA 16 Sensing Solutions for Assessing and Monitoring Railroad tracks P. Rizzo, University of Pittsburgh, USA 17 Sensing solutions for assessing and monitoring underwater systems P. Rizzo, University of Pittsburgh, USA 18 Sensing Solutions for Assessing and Monitoring Offshore Structures M. H. Kim and J. M. Lee, Pusan National University, South Korea 19 Sensing Solutions for Assessing and Monitoring Wind Turbines R. Rolfes,S. Tsiapoki and M.W. Häckell, Gottfried Wilhelm Leibniz Universität Hannover, Germany 20 Sensing Solutions for Assessing and Monitoring of Nuclear Power Plants (NPPs) H. Sohn, J. Y. Yang, H. S. Lee and B. J. Park, Korea Advanced Institute of Science and Technology (KAIST), South Korea 21 Sensing Solutions for Assessing and Monitoring Power Systems I. A. Hiskens, University of Michigan, USA
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