SHMII-9 Invited Speakers
Invited speakers will present during special extended sessions at 1:00 pm on Monday and Tuesday in Grand Ballrooms A, B, and C. Please check the schedule for updates on specific speaker times and locations.
Dr. Yozo Fujino
Risk and Stock Management of Civil Infrastructure
Abstract: In this presentation, two aspects of management of civil infrastructure, typically bridges, are discussed; namely risk management and stock management. Firstly, risk management for earthquakes is described with emphasis on lessons from the past earthquakes such as 1989 Loma Prieta Eq., 1994 Northridge Eq., 1995 Kobe Eq. and 2011 Tohoku Eq. Is will be shown how the earthquake-induced damage was evolved for the past thirty years. As to stock management, large governmental project (2013-2019) for infrastructure maintenance in Japan is explained. In this presentation, new developments and potential applications of nondestructive evaluations, sensing systems, imaging systems, data analytics, climbing robots, unmanned aerial vehicles (UAV), will be introduced and reviewed.
Biography: Dr. Yozo Fujino was Professor of Civil Engineering, University of Tokyo from 1990 to 2014 and now Distinguished Professor of Institute of Advanced Sciences, Yokohama National Univeristy. His area of expertise comprises dynamics, control and monitoring of bridges and structures, earthquake- and wind-effects on structures. He is also interested in cable-supported long span bridges. He was appointed to be a policy adviser in the Council of Science and Technology, Cabinet Office, Government of Japan in 2014 and was in charge of a 5-years(2014-2019) large research project (approx. 150 M$US) “Infrastructure maintenance, renovation and management”. He received many awards; recent ones are Medal with Purple Ribbon from the Emperor of Japan(2007), R.H. Scanlan Medal(2011) and George Winter Medal(2015) both from ASCE, T.Y. Lin Medal(IABMAS, 2012), International Achivement Award JSCE(2013), IABSE Award(2014) and so on. He is a recipient of the 2019 Japan Academy Prize which is the highest honor to academicians in Japan. He is a member of the Engineering Academy of Japan since 2012.
Dr. Nenad Gucunski
Complementary Use of NDE and SHM in Comprehensive Assessment of Causes of Deterioration in Concrete Bridge Decks
Abstract: Significant advances were made in recent years in NDE technologies’ efficiency for detecting and characterizing deterioration in bridge decks, including advances in automation of NDE data collection, analysis, and interpretation. Those advances enable more extensive and more frequently implemented data collection that will lead to more objective description of the current condition and more precise prediction of the progression of deterioration. In addition, a complementary use of multiple NDE technologies may assist in identification of likely causes of deterioration. As such, the NDE data are becoming essential for effective and economical management of bridges, concrete bridge decks in particular. It has also been shown that the bridge deck performance varies widely, even between bridges that are very close in age, and that have similar traffic loads, designs, and climate conditions. This indicates that deterioration processes, since they are a result of multiple inputs and actions, are inherently complex. Therefore, additional influences require examination to provide the most complete answers regarding disparate bridge deck performance. Complemental use of NDE, SHM, and other technologies for local and global assessment of bridges open opportunities for providing those answers. The presentation provides an overview of the benefits stemming multi-NDE technology surveys, especially those employing rapid and automated data collection and analysis. It also explores ways we can gain additional knowledge about the bridge performance through multi-NDE technology surveys, and complemental use of NDE and SHM.
Biography: Dr. Gucunski is professor and chairman of Civil and Environmental Engineering, and Director of Infrastructure Condition Monitoring Program at Rutgers’ Center for Advanced Infrastructure and Transportation (CAIT). His primary expertise is in nondestructive evaluation (NDE) of transportation infrastructure, problems of dynamic soil-structure interaction, and geophysical methods. Dr. Gucunski published more than 250 publications, primarily on various aspects of development of NDE/NDT technologies, and their application and automation. Dr. Gucunski is an active member of a number of technical committees of several professional societies, and the past chair of the ASCE’s Geophysical Engineering Committee. Dr. Gucunski and his team are the recipients of the 2014 ASCE Charles Pankow Award for Innovation for the development of RABIT (Robotics Assisted Bridge Inspection Tool) for bridge decks. Dr. Gucunski received his B.S. degree in civil engineering from University of Zagreb, Croatia, and M.S. and Ph.D. degrees in civil engineering from The University of Michigan.
Dr. Jerome Lynch
Vehicular Tracking Using Machine Learning to Link Loads in Highway Corridors for the Performance Assessment of Connected Highway Bridges
Abstract: Recent advances in sensing and connectivity technologies have made structural monitoring more accessible and affordable for a broader set of structures including highway bridges. Structural monitoring data from bridges hold great promise for the development of more quantitative approaches to the risk management of critical highway assets. However, a major limitation of most bridge monitoring systems is the absence of a quantitative measurement of the loads being imposed on bridges. As a result, accurately assessing the performance and health of a bridge can be difficult based solely on output-only bridge response measurements. Vehicular loads are commonly measured in highway networks using weigh-in-motion systems (WIMS) but these stations are often located far from the bridge being monitored. In this presentation, recent work on the use of computer vision and machine learning is presented for tracking vehicular loads in highway networks with the aim of linking WIMS measured truck loads in the network to bridge responses collected using structural monitoring systems. A cyber-physical system (CPS) architecture is proposed with bridge monitoring systems, cameras and WIMS stations synchronized with one another using wireless connectivity to a common cloud environment. Cameras are installed at monitored bridges and WIMS stations to continuously track vehicles driving over these assets with convoluted neural network (CNN)-based machine learning algorithms used to automate the extraction and identification of truck loads. This allows trucks to be tracked and truck weights measured by WIMS stations to be assigned to measured bridge responses. The presentation highlights deployment of the system on the northbound I-275 corridor between Newport and Romulus, Michigan that is instrumented with wireless structural monitoring systems on two bridges, one WIMS station and multiple cameras to track truck loads. The presentation focuses on the unique input-output datasets generated and their potential to transform bridge management. The work specifically focuses on the development of data-driven load rating methods that can be used to more accurately assess the capacity of monitored bridges by using measurement data to inform the rating methodology.
Biography: Dr. Jerome Lynch is the Donald Malloure Department Chair of Civil and Environmental Engineering at the University of Michigan; he is also Professor of Civil and Environmental Engineering, and Professor of Electrical Engineering and Computer Science. Dr. Lynch completed his graduate studies at Stanford University where he received his Ph.D. in Civil and Environmental Engineering in 2002, M.S. in Civil and Environmental Engineering in 1998, and M.S. in Electrical Engineering in 2003. Prior to attending Stanford, Dr. Lynch received his B.E. in Civil and Environmental Engineering from the Cooper Union in New York City. His current research interests are in the areas of wireless cyber-physical systems, cyberinfrastructure tools for management of structural monitoring datasets, and nanoengineered thin film sensors for damage detection and structural health monitoring. Dr. Lynch has been awarded the 2005 ONR Young Investigator Award, 2009 NSF CAREER Award, 2009 Presidential Early Career Award for Scientists and Engineers (PECASE), 2012 ASCE EMI Leonardo da Vinci Award and 2014 ASCE Huber Award.
Dr. Aftab Mufti
A Case for Adding an Inspection Level Related to SHM for Bridge Evaluation
Abstract: The Canadian Highway Bridge Design Code uses the concept of a target reliability index for evaluating the load carrying capacity of existing bridges. This index, which is based on risk to human life, is related to three aspects of uncertainties inherent in a bridge: those related to (a) element behaviour, (b) system behavior, and (c) inspection level. It is assumed that all bridge inspections are manual. Citing examples of tests on many instrumented bridges, the paper proposes another level of inspection, which is done with the help of electronic instruments and tests under controlled vehicle loads. The paper proposes simple additions to the clauses of the CHBDC, which can be used to determine the optimum load carrying capacities of existing bridges where structural monitoring information is available.
Biography: Dr. Aftab A. Mufti is an Emeritus Professor of Civil Engineering at the University of Manitoba, Winnipeg, Manitoba, Canada. He is also the former Scientific Director and President of the Innovative Structures with Intelligent Sensing Canada Research Network, a Network of Centres of Excellence. His research interests include FRPs, FOSs, FEM, bridge engineering, Structural Health Monitoring (SHM). At the University of Manitoba he introduced new research area of Civionics Engineering to monitor deteriorating infrastructure. He has authored or co-authored 5 books, plus provided chapters for 2 others, edited 9 books, and written more than 350 technical publications. Dr. Mufti is the recipient of 24 awards. He is the holder of several patents on the steel-free bridge deck concept, of which he is the principal developer. He has been involved in the writing of bridge design codes since 1992, and was the Chair of the Technical Sub-Committee on the Fibre Reinforced Structures of the Canadian Highway Bridge Design Code, published in 2006. He is a fellow of 9 societies. On November 2013 he was elected as a Fellow of the Royal Society of Canada (FRSC) and on July 1, 2010 he was appointed as a Member of the Order of Canada, highest civilian honour bestowed on Canadian citizens, for his contribution to and leadership in the field of civil engineering, notably for researching the use of advanced composite materials and fibre optic sensors in the construction and monitoring of bridges and other infrastructures.
Dr. Hoon Sohn
UAV-based Autonomous and Instantaneous Bridge Diagnosis
Abstract: Unmanned aerial vehicle (UAV) has been widely utilized in various engineering fields. This paper provides an overview of an UAV based bridge inspection project sponsored by Ministry of Land, Infrastructure and Transport in South Korea. This project aims to complement existing bridge inspection practices by integrating UAV, non-destructive testing sensing and big data analytics. The specific objectives of the project consist of (1) development of a UAV hardware platform capable of close-range flight near a bridge and flight-to-attach operation onto the bridge (40 minutes flight time with 4.5 kg of payload under 2 m/sec wind speed); (2) autonomous UAV operation using a vision based SLAM algorithm (under 50 mm location error) for localization and a line-of-sight path control algorithm under gust wind conditions (less than 4m/s); (3) hybrid imaging system combining infrared and vision-based cameras for visualization and quantification of various defects (micro-crack, spalling, bolt loosening and coating thickness variation); (4) automatic generation of 3D BIM model and overlapping with bridge inspection results; and (5) development of UAV-based bridge inspection guideline and regulations. Component level validation tests were performed on concrete and steel bridge structures, and testing of the entire integrated system is underway.
Biography: Hoon Sohn received his B.S. (1992) and M.S. (1994) degrees from Seoul National University, Seoul Korea and Ph.D. (1999) from Stanford University, California, USA, all in Civil Engineering. He worked at Los Alamos National Laboratory (LANL) from 1999 to 2004 as a Director-funded Postdoctoral Fellow/Technical Staff Member. He was an Assistant Professor in the Civil and Environmental Engineering Department at Carnegie Mellon University for 2004-2006. He is now Professor at KAIST (Korea Advanced Institute of Science and Technology), and the Director of ICT Bridge Research Center sponsored by the Ministry of Land, Infrastructure and Transport in Korea (about 25 Million USD project over 5 years). Over last twenty years, his research interest has been in the areas of structural health monitoring, nondestructive testing, sensing technologies and data analytics. He has published over 170 refereed journal articles, over 350 conference proceedings, and 10 book & book chapters. His developed technologies are licensed and commercialized by private companies, resulting in over 830,000 USD licensing agreements. He is a co-chair of SPIE Annual International Symposium on Smart Structures and Material Systems and Nondestructive Evaluation (2018-2019), and he was selected to SPIE Fellow in 2018. He was also the recipient of SHM Person-of-Year Award at 2011 International workshop on SHM, 2008 Young Scientists Award (150,000 USD cash award) and 2017 Young Engineers Award (50,000 USD cash award), 2017 KAIST Best Research Award, and 2018 Kyung-Am Award (200,000 USD cash award) all in South Korea. His work has been funded by the Boeing Company, Samsung Electronics, Samsung Display, US Air Force Research Laboratory, US Air Force Office of Scientific Research (US AFOSR), US National Science Foundation, National Research Foundation of Korea, Korea Agency for Defense Development, Hyundai & KIA Motors, Hyundai Heavy Industries, Bombardier, POSCO, Daewoo Construction, and Foongsan FNS.
Dr. You-Lin Xu
Title: Hong Kong Experience in Structural Health Monitoring of Long-Span Cable-Supported Bridges
Abstract: Many long-span cable-supported bridges emerge worldwide in recent years. The installation of a long-term structural health monitoring (SHM) system to the bridge becomes a necessity to monitor its loading conditions, assess its performance, detect its damage, and guide its maintenance with the utmost goal of ensuring its functionality, safety and sustainability during its life time. However, the structural systems, operation conditions, and environments of long-span cable-supported bridges are very different from those of aircrafts and machines. There are still many challenges in SHM technologies for long-span cable-supported bridges. This presentation takes the Tsing Ma suspension bridge and the Stonecutters cable-stayed bridge in Hong Kong as examples and recapitulates the relevant works done by the author and his colleagues and students in the past twenty years. The SHM systems installed in the two bridges are briefly introduced first. The characterization of highway loading, railway loading, wind characteristics, and temperature effects from the data recorded by the SHM system is then presented. The assessment of bridge performance in terms of identified dynamic characteristics and recorded structural responses is introduced. Toward fatigue damage prognosis and damage detection, SHM-based 4M technologies, which involve multiscale modeling, multi-type sensor placement, multi-level and multi-stage damage detection, is presented. Finally, the SHM-based bridge rating system for bridge maintenance and the SHM-based life-cycle management of the bridge are discussed.
Biography: Dr Xu received his Ph.D. degree from the University of Sydney in 1991. He joined The Hong Kong Polytechnic University in 1995, where he is currently Dean of the Faculty of Construction and Environment. He authored over 270 SCI journal papers and three technical books. He received the CAE Guanghua Engineering Science and Technology Prize in 2018, the IAWE Davenport Medal in 2018, the ASCE Robert H. Scanlan Medal in 2012, the CACM Qian Ling Xi Computational Mechanics Award in 2010, and the Croucher Award in 2006. He has been engaged in the health monitoring projects on the Tsing Ma Bridge and the Stonecutters Bridge. He was Chair of the 6th International Conference on Structural Health Monitoring of Intelligent Infrastructure in 2013. He is a Fellow of the Hong Kong Institution of Engineers, the American Society of Civil Engineers, the Engineering Mechanics Institute of the U.S.A., the Institution of Structural Engineers of the U.K, and the Hong Kong Academy of Engineering Science.
Dr. Jian Zhang
Integrating smart inspection and monitoring results through a multi-scale model strategy
Abstract: The specific objectives of the presentation consist of the following aspects: (a) Smart inspection technology. A wall-climbing UAV system is developed to acquire structure images which are transmitted to a smartphone through a developed wireless data transmission system, and an advanced convolution neural network is employed to image processing and crack detection on a smartphone software. (b) SHM technology. Experimental Study of Thermal Effects of long span bridges are studied by processing the long-term monitoring data, and thermal performance analysis calculating temperature-induced stress is studied, in which the different kinds of thermal loads including uniform temperature, linear/nonlinear temperature gradient and partial constraints in axial/rotation directions are considered. (c) A multi-scale FE model strategy is proposed to integrate the smart inspection and monitoring results for safety evaluation of long span bridges, especially the uncertainty involved in the structural identification and finite analysis stages are considered.
Biography: Dr. Jian Zhang is a professor and Vice Dean of School of Civil Engineering, Southeast University, China. He received his PhD from Kyoto University, Japan, and worked at University of California at San Diego and Drexel University, USA. In the area of structural health monitoring, he has published 4 books and over 50 first/corresponding-author SCI journal papers. His research results have been applied on over 20 long span bridges including the Sutong Yangzi-River bridge and the Second Humen bridge. He is the editor board member of the journal of Computer-Aided Civil and Infrastructure Engineering and the Journal of Structural Control and Monitoring. He is serving as the co-chairman of EVACES-8 conference and the ISHMII council member. He was awarded the first prize of Science and Technology Award of Jiangsu Province (twice), the first prize of Science and technology of China Highway Society, and the second prize of National Award for Technological Invention.
Dr. Yufeng Zhang
Engineering Practice and Exploration of Bridge Structural Health Monitoring Technology in China
Abstract: Structural health monitoring technology is an essential supplement to traditional manual detection methods. The application of structural health monitoring technology for constructing a bridge neural system is helpful for early detection of structural damage and hidden dangers, and to ensure the safety and health of bridges. This paper mainly introduces the application of structural health monitoring technology in China in recent years, especially in long-span cable-supported bridges in Jiangsu Province, China. This article discussed the timely alarm system, cumulative damage trend deduction, manual inspection workload reduction, verification of existing design and guidance of future design of the structural health monitoring technology through specific engineering cases. This paper covered the current technical stage of structural health monitoring technology and main technical bottlenecks, as well as recent technical breakthroughs in areas such as distributed sensing technology and automatic identification of anomalous data.
Biography：Dr. Yufeng Zhang is a researcher-level senior engineer and the expert enjoying special government allowances of the State Council. He is the director of ‘The State Key Laboratory on Safety and Health for in-service Long-span Bridges’ and the Chief Engineer in Structural Health Monitoring Division, Testing Institute, JSTI. He specializes in bridge construction control, inspection, health monitoring and structural evaluation. He presided over the design and implementation of the structural health monitoring system for more than 60 bridges, including Sutong Yangtze River Highway Bridge and Ma’anshan Yangtze River Highway Bridge. He has been in charge of construction monitoring projects for more than 50 bridges including Yunnan Jindong Bridge and Kangbashi Bridge. He conducted the detection, test, evaluation, reinforcement and maintenance work for hundreds of bridges including Yang Pu Bridge and Wujiang Bridge. He has obtained the second National Prize for Progress in Science and Technology, the first Prize for Progress in Science and Technology in Jiangsu, Special Science and Technology prize for China Highway and Transportation Society, and several other provincial level prizes.