Special sessions

Special Sessions

SS01: Recent Research Advances on Structural Control and Health Monitoring in Australia
Hong Hao, Curtin University, Perth, Australia
Kaiming Bi, Curtin University, Perth, Australia
Jun Li, Curtin University, Perth, Australia
The objective of the proposed special session is to share and promote recent research advances in particularly the research works in Australia, in Structural Vibration Control and Health Monitoring at the 7WCSCM conference. This session expects to attract researchers in Australia working on vibration control and structural health monitoring to present their recent and interesting research advances and progresses. The topics of this special session may cover base isolation, development of new dampers, passive/active structural vibration control, bridge condition monitoring, structural sensing for monitoring, damage identification of structures, non-destructive testing for inspection, new computational algorithms, etc. The audience may benefit from the proposed special session to acquire the understanding and recognition of ongoing researches on structural vibration control and health monitoring in Australia.

SS02: Research Advances in SHM: Chinese Experiences
Ting-Hua Yi
, Dalian University of Technology, China
Hong-Nan Li, Shenyang Jianzhu University, China
In the past 20 years, a great number of novel and critical infrastructures, such as the Canton Tower, Sutong Cable-Stayed Bridge, Three Gorges Dam, and newly completed National Stadium – “Bird's Nest”, have been mushroomed constructed in China. Given the significant amount of work involved globally and the unique elongated feature of the SHM system and their applications, with an emphasis on civil, hydraulic and traffic engineering, this special session will provide a platform that allows active researchers to present these new development in a timely and efficient manner. The scope of the special session is to sketch the state-of-the-art and state-of-the-practice in technological innovation and its applications with SHM in the large infrastructures in China.

SS03: Application, Research and Design on Structural Control in Japan
Masashi Yamamoto
, Takenaka Corporation, Chiba, Japan
Takeshi Furuhashi, Nihon University, Tokyo, Japan
Haruhiko Kurino, Kajima Corporation, Tokyo, Japan
After the 2011 Tohoku earthquake in Japan, long period and long-time duration earthquakes were re-recognized as a potential risk for tall buildings. Vibrations of buildings under these earthquakes were examined; consequently, structural control systems and devices have been newly developed to improve the vibration reduction efficiency. In this special session, the developed control systems and devices, applications into actual buildings, experiments and analyses, will be presented. Besides, estimation methods of performance of structural control systems, which are to be used in structural design, will be presented. This session mainly consists of (not limited to) members from the Sub-committee on Structural Control at Architectural Institute of Japan.

SS04: New Development of Smart Devices for Structural Control
Jianchun Li
, University of Technology Sydney, Sydney, Australia
Songye Zhu, The Hong Kong Polytechnic University, Hong Kong, China
Sara Casciati, Associate Professor, University of Catania, Catania, Italy
Jian Li, Assistant Professor, The University of Kansas, Lawrence, USA
As a cutting-edge technology to protect primary structural system against excessive vibrations, structural control has received considerable interest in the past decades. A variety of structural control strategies have been proposed and some of them have been successfully implemented in real structures. The main objective of this special session is to report the most recent progress in smart control devices and technologies, including but not limited to novel design of passive, semiactive and active dampers, smart control theory and algorithm, new experimental validations, practical engineering applications, integrated design, state-of-the-art review, etc. The session is expected to provide an international forum for exchanging innovative ideas, identifying future perspectives and challenges, and promoting future collaborations in this promising area.

SS05: Structural Control of Bridges under Earthquake or Multiple Hazards
Anxin Guo
, Harbin Institute of Technology, Harbin, China
Qiang Han, Beijing University of Technology, Beijing, China
As an important component of transportation system, bridge always sustains natural disaster, such as earthquake, tsunami, wave et al. The action of multiple hazard in the long-term service period would threaten the safety of the structure. The structural vibration control technology is recognized to be an efficient approach for reducing the dynamic responses of bridges and mitigating the natural hazards of bridges. This special session is to share the knowledge on the advance structural analysis, numerical simulation, vulnerability analysis and control technology of highway bridge, long-span bridge and coastal bridge under earthquake and multiple hazards.

SS06: Seismic Isolation in Civil Engineering
Ping Tan
, Professor, Guangzhou, China
Gianmario Benzoni, Professor, San Diego, USA
Demin Feng, Fujita Corp., Tokyo, Japan
Seismic isolation technology is used more and more widely to protect civil engineering structures against strong earthquakes all over the world. Recent destructive seismic events in Wenchuan, China, in 2008 and Kobe, Japan, in 1995 demonstrated the importance of mitigating the hazards in the design of new structures. Extensive isolation devices, including rubber bearings (RB) and lead plug rubber bearings (LRB), frictional-sliding bearings and roller bearings, have been developed and used practically in engineering. As a matter of fact, the number of applications, for both new constructions and retrofits, has increased remarkably since this technology was first embraced by the structural engineering community in the 1960s. The challenge for the next future is to develop new devices and the new analytical models, and to investigate new design rules and methods. Also, more applications of seismic isolation in civil engineering structures such as hospital, school, airport, over-crossing bridge, etc., are encouraged.

SS07: Application and Testing of New Materials and Techniques in Semi-active Vibration Control
Okyay Altay
, RWTH Aachen University, Aachen, Germany
Jinting Wang, Tsinghua University, Beijing, China
Due to their adaptation capability, semi-active systems allow a more robust structural control performance compared to other conventional damping systems in both mechanical and civil engineering. These intelligent systems offer therefore a broad range of new application possibilities, such as in skyscrapers, industrial facilities, critical infrastructure, wind turbines, transportation vehicles, aerospace and aeronautic structures.
In order to enhance the adaptation capability new high-tech materials are being researched and applied, such as magnetorheological and electrorheological fluids, shape memory alloys, piezoelectric materials and nanofluids. Also new techniques are being developed, which enable the parameter adaptation, such as adaptive inertia dampers.
For the performance validation of these intelligent damping systems, special testing methods are necessary, such as real-time hybrid simulations, which allow a high accuracy using a reduced physical test size.
The application examples and testing methods of semi-active systems using new materials and techniques are the main topics of this special session.

SS08: Flow Controls for Wind and Structural Engineering
Hui Hu
, Iowa State University, Ames, USA
Wen-Li Chen, Harbin Institute of Technology, Harbin, China
This special session is a forum for all aspects of flow control technologies for wind and structural engineering, emphasizing the multidisciplinary interaction among a diverse range of research disciplines with a common technical basis of fluid dynamics and flow structure interaction (FSI). Technical sessions range from sensing and actuation technologies to applications of flow control techniques across a wide spectrum of flow regimes including vortical flows, boundary layers, shear layers, wakes, separated flows, laminar separation bubbles, and so on. The flow control methods may range from the wall vibrations, bubble methods, injections and suctions, momentum injections, flexible walls, plasma and so on. The flow controls on the structural effects include the wind loads, wind-induced vibrations and flow fields and so on.

SS09: Wind Effects and Wind-Induced Vibration Control for Large-Scale Structures
Hao Wang
, Southeast University, Nanjing, China
Guang-Dong Zhou, Hohai University, Nanjing, China
Shi-Tang Ke, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Xin Chen, Suzhou University of Science and Technology, Suzhou, China
In the previous few decades, many large-scale structures have been built in wind-prone regions. Because of their low stiffness, wind loading becomes one of the main factors that influence structural safety and serviceability. Fully understanding wind effects and developing effective approaches to control wind-induced vibration become a significant topic in the field of structural wind engineering and have been studied by many researchers. Wind characteristics are investigated using field monitoring data. Frequency-domain and time-domain methods are proposed for estimating wind-induced vibration of structures. Wind tunnel tests and computational fluid dynamics approaches are widely used to investigate structural responses induced by wind. And different control technologies are developed to reduce wind-induced vibration. This special session aims to discuss the new advances in wind effects and wind-induced vibration control for large-scale structures. Any researchers, who are interested in this topic, are invited to join this special session.

SS10: Recent Advances in Hybrid Simulation and Real Time Hybrid Simulation
Ge (Gaby) Ou
, University of Utah, USA
Narutoshi Nakata, Clarkson University, USA
Hybrid Simulation (HS) and Real-time Hybrid Simulation (RTHS) is increasingly being recognized as powerful emerging techniques that offer the opportunity for global system evaluation of civil infrastructure systems to extreme dynamic loading. This proposed session is to share knowledge about the state-of-the-art in HS and RTHS, focusing topics may include: Computational algorithms and modeling for HS and RTHS, actuator control methodologies and theoretical background, analysis of uncertainties and reliability analyses, cyberinfrastructure developments that support HS and RTHS, performance evaluation criteria, newly developed techniques to enhance the reliability of HS and RTHS responses, innovative applications and demonstrations, development of new experimental platforms for HS and RTHS

SS11: Development and Applications of Hybrid Testing Methods
Tao Wang
, Institute of Engineering Mechanics, CEA, Harbin, China
Gilberto Mosqueda, University of California, San Diego, San Diego, USA
The online hybrid test is one of the most effective methods to reproduce the complex seismic behavior of large scale structures. It has been significantly promoted in the past three decades. Many excellent control methods, frameworks, and loading facilities have been developed and applied to solve engineering problems. Recent development of earthquake engineering demands a more detailed performance investigation to engineering structures under different levels of earthquakes and the associated hazards such as liquefaction and tsunami. In order to clarify the next generation of hybrid testing, the special session of “Development and Applications of Hybrid Testing Methods” is proposed, where messages of new control algorithms, coordinating methods, scalable frameworks, and applications to complex structures can be exchanged.

SS12: Structural Monitoring and Control of High-speed Railway
Yi-Qing Ni
, The Hong Kong Polytechnic University, China
Xiao-Wei Ye, Zhejiang University, China
As an extremely complicated synthesis, the high-speed railway (HSR) system is deemed as a synergy of various technologies from different disciplines, such as high speed bogie technology, high speed braking technology, traction transmission/control technology, train network technology, and system integration technology. In consequence, establishment of a stable, durable and reliable HSR system has been a crucial yet awesomely challenging task targeting to ensure the operating safety of high-speed trains and the comfortability of passengers. Taking the opportunities of rapid development of the technology of structural health monitoring (SHM) and vibration control, the research efforts have devoted to shaping a Smart Railway System with the self-sensing, self-adaptive and auto-control functions by the worldwide interdisciplinary research teams. This special session aims to report the state-of-the-art and practice in structural monitoring and control of the railway infrastructure and high-speed trains by use of the advanced sensing technologies.

SS13: Structural Control and Monitoring of Wind Turbine Structures
Ningsu Luo
, Universitat de Girona, Spain
Yolanda Vidal, Universitat Politècnica de Catalunya, Spain
Francesc Pozo, Universitat Politècnica de Catalunya, Spain
Wind turbines are complex systems with large flexible structures that work under very turbulent and unpredictable environmental conditions. The main objective of wind turbine control is to maximize electrical power generation while alleviating the structural loads and machine fatigue by reducing the undesirable structural resonances and dynamic response to the wind turbulence and wave current. Meanwhile, the purpose of wind turbine monitoring and fault detection systems is to detect and locate degradations and failures in the operation of wind turbine components as early as possible, which can result in reducing the maintenance costs and enhancing the profitability, reliability and sustainability of wind turbines.
This session welcomes all contributions to the control and monitoring of onshore and offshore wind turbine structures: 1) Passive, active and semiactive control techniques for reducing the vibrations in blades, towers, floating support platforms, etc. 2) SHM techniques (acoustic emission monitoring, thermal imaging method, ultrasonic methods, fatigue and modal properties monitoring, strain monitoring, ...) for the detection and location of failures in blades, rotor and shaft, gearbox, yaw system, and electric generator of wind turbine, and also in tower and floating support platform, etc., by using new sensing technologies and efficient data acquisition and analysis methods.

SS14: Recent Advances in Sensing Technology for Structural Health Monitoring
Zhanjun Wu
, Dalian University of Technology, Dalian, China
Wensong Zhou, Harbin Institute of Technology, Harbin, China
Lei Qiu, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Yongkang Dong, Harbin Institute of Technology, Harbin, China
Advanced sensing technologies, which help to obtain the information of structural loads and responses and to determine the early detection of damage from natural hazards or other events, play an important role in structural health monitoring. They provide the essential data and information for the direct damage detection or the further condition assessment and safety warning for the critical structures or infrastructures. In recent years, many different sensing techniques with different characteristics have been available for the structural health monitoring, but there are still challenges remaining including high reliability, long range sensing, imaging with high resolution ratio, and actual application on complex structures etc. This special session aims to collect recent advances in sensing technologies and the challenges related to their implementation in real world applications. The session welcomes studies in the area of but not limited to: 1) ultrasonic and/or acoustic emission methods for SHM/NDE; 2) optic fiber sensing methods and technologies; 3) remote/wireless sensing technology; 4) distributed strain sensing methods.

SS15: Infrastructure Inspection Using Unmanned Aerial and Ground Vehicles
Hoon Sohn
, KAIST, Daejeon, Republic of Korea
Hyun Myung, KAIST, Daejeon, Republic of Korea
Hyung Jo Jung, KAIST, Daejeon, Republic of Korea
There is an increasing interest to employ unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) for civil infrastructure inspection and monitoring. For example, the use of UAVs and UGVs can enable us to inspect areas which were previously difficult or impossible to access. Furthermore, inspection by UAVs and UGVs can provide quantitative and objective assessments of civil infrastructure conditions and can reduce costs related to periodic inspections. This special session aims to showcase recent hardware and software developments related to UAVs and UGVs used for infrastructure inspection, related sensing technology, inspection methodologies, and actual field application examples.

SS16: Innovations in Computer Vision for Structural Monitoring and Damage Detection
Mohammad Jahanshahi
, Purdue University, West Lafayette, IN, USA
Chul Min Yeum, Purdue University, West Lafayette, IN, USA
Shirley J. Dyke, Purdue University, West Lafayette, IN, USA
Advances in new sensing platforms and computer vision methods are enabling a new paradigm in structural monitoring and damage detection. Buildings, bridges, naval vessels, nuclear reactors, dams, oil tanks, and space structures require visual inspection. Automating the monitoring and damage detection process will enhance the safety of humans and the structural integrity against leaks, spills and even disasters. For instance, unmanned aerial vehicles (UAVs) can quickly collect large volumes of images of a structure. Additionally, stereo camera systems and Lidar are able to generate 3D reconstructions of a structure. The limitations of human visual inspection resolve around consistency, accessibility, safety and efficiency. Thus, the advantages of automating the data collection and data analysis process include greater access to remote and difficult-to-reach regions, while enforcing consistency and saving considerable time and resources. Across hazard response, construction, and structural monitoring researchers are gaining experience with existing techniques, and building upon them to tackle realistic challenges associated with automated damage identification and classification in structures. This session will focus on the breakthroughs researchers across these disciplines are making to tackle such challenges.

SS17: Computer Vision-based Sensing and System Identification
 Mao, University of Massachusetts Lowell, USA
Yuequan Bao, Harbin Institute of Technology, Harbin, China
The purpose of this special session is devoted to presenting the advanced theories and latest practical applications of computer vision-based structural health monitoring, including video camera-based measurements, non-contact operational modal analysis, image and video data processing and system identification, practical applications on full scale realistic structures, etc. The session aims to encourage papers on both investigation novel computer vision algorithms tailored for damage detection, localization and classification, and application of state-of-the-art image/video processing methodologies onto modern SHM efforts. Hardware design and implementation also fall in to the session focus, such as the optical systems design and installation, sensing strategies, big data streaming and storage, etc. A variety of domain applications will be included, namely civil structures, mechanical systems, aerospace systems, large equipment and precision instruments.

SS18: Computer Vision-based Structural Health Monitoring
Xiao-Wei Ye
, Zhejiang University, China
Bao-Hua Shan, Harbin Institute of Technology, China
In the past two decades, a significant number of innovative sensing and monitoring systems based on the computer vision-based technology have been exploited in the field of structural health monitoring (SHM). This technology has some inherent distinctive advantages such as non-contact, non-destructive, long distance, high precision, immunity to electromagnetic interference, and large-range and multiple-target monitoring. A lot of computer vision-based structural dynamic measurement and structural state inspection methods have been developed. Real-world applications are also carried out to measure the structural physical parameters such as the displacement, strain/stress, rotation, vibration, crack and spalling. The purpose of this special session is devoted to presenting the advanced theories and latest practical applications of the computer vision-based technology employed in structural monitoring as well as its systematic error sources and integration with other modern sensing techniques.

SS19: Structural Health Monitoring with Multi-Data
Soobong Shin
, INHA University, Incheon, Korea
Sung-Han Sim, UNIST, Ulsan, Korea
Do Hyoung Shin, INHA University, Incheon, Korea
Combinations of various sources and different types of data measured from a structure and its surrounding environment are partly or whole together utilized to monitor and/or evaluate structural condition or performance. Under such a circumstance, health monitoring of a structure is a complex and multi-layer problem. Particularly for civil structures, health monitoring has been a great challenge because its local problem usually negligibly influences the global aspect in many cases. In addition, environmental effects frequently dominate the structural behavior. However, on the other hand, a lot of measured information floods in the monitoring and evaluation process. Therefore, it is highly required to develop an efficient method to control these multi-data in the health monitoring of a civil structure.

SS20: Bayesian Inference and Uncertainty Quantification in Structural Health Monitoring: New Algorithms and Applications
Yong Huang
, Harbin Institute of Technology, Harbin, China
James L. Beck, California Institute of Technology, Pasadena, CA, USA
Heung Fai (Paul) Lam, City University of Hong Kong, Hong Kong, China
Due to its intrinsic potential and to the growing need for quantifying and managing the uncertainty in the choice of models and their parameter values when inferring structural health from noisy monitoring data, Bayesian uncertainty quantification has come to play a critical role in structural health monitoring. This special session will serve as a platform to discuss recent theoretical, computational and application advances in using Bayesian approaches for structural identification and health monitoring. Applications in structural dynamics, civil engineering, mechanical and aerospace engineering, as well as other related engineering disciplines are welcomed. Topics relevant to this session include, but are not limited to: (1) Advanced stochastic simulation techniques for Bayesian inference, including uncertainty quantification in Bayesian model selection and parameter estimation, and Bayesian filtering algorithms, (2) Bayesian methods for damage detection, localization, quantification and prognosis, (3) Probabilistic machine learning methods and applications in structural health monitoring, (4) New Bayesian technologies in data sensing, acquisition, compression and other signal processing applications related to structural health monitoring, (5) Bayesian modal identification and operational modal analysis, (6) Bayesian experimental design, including optimal sensor and actuator location methods, (7) Stochastic/probabilistic models for damage evolution, including crack propagation and fatigue.

SS21: Sparse Recovery Technique in SHM
Zhongdong Duan
, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Yong Xia, The Hong Kong Polytechnic University, Hong Kong, China
While newly developed Sparse Recovery (SR) theory in mathematics and Compressive Sensing (CS) technique have inspired numerous application in imaging, video, medical imaging, spectroscopy, and genomic data acquisition and analysis, they also possess great potential to Structural Health Monitoring(SHM). This session solicit papers and presentations that cover broad area of theoretical development of SR theory, CS technique and their application to SHM, for example, CS-based data acquisition for wireless sensor network and ultrasonics, SR algorithms for data processing and identification, etc.

SS22: Uncertainty-Involved Structural Model Updating, Damage Assessment and Reliability Evaluation
Gang Liu
, School of Civil Engineering, Chongqing, China
Sheng-En Fang, School of Civil Engineering, Fuzhou, China
In the past decades, model updating and damage detection strategies have been extensively investigated for the purposes of structural health monitoring. So far, most of the existing model updating and damage detection methods are developed within a deterministic framework. However, uncertainties always exist in real-world engineering structures, which highly limits the practical applications of deterministic methods. Due to it, probabilistic and non- probabilistic theories have been introduced into the updating or assessment procedures in order to take into account the influence of different kinds of uncertainties. This special session provides a broad discussion on the topics of uncertainty-involved model updating and damage assessment methods for engineering structures. Extensive discussions are also welcome in the aspect of structural reliability evaluation, which can be regarded as a supplementary procedure for structural safety after damage assessment.

SS23: Vehicle-Bridge Interaction and Its Applications in Bridge-Weigh-in-Motion (BWIM), Damage Detection, and Bridge Management
Steve C.S. Cai
, Louisiana State University, Baton Rouge, USA
Lu Deng, Hunan University, Changsha, China
Xuan Kong, Viaero Wireless Inc., Denver, USA
Deterioration and degradation of bridges are of great concerns worldwide since they can potentially develop into structure failures. In order to maintain the safety and integrity of bridge structures, research on the traffic load identification, damage mechanism detection, and bridge performance assessment has been carried out in the past few decades. More specifically, specially designed bridge-weigh-in-motion (BWIM) systems have been widely used to collect traffic data for bridge overweight control and management; specially designed mobile inspection vehicles have been proposed to detect bridge damage; and Bridge-health-monitoring (BHM) systems have been commonly used to provide essential information for bridge performance assessment. All these three systems are related to vehicle-bridge interactions. In this special session, we will focus on the discussion of the vehicle-bridge interaction and its applications in these three systems, namely BWIM technology, damage detection, and health monitoring based bridge management.

SS24: Inspection & Monitoring for Risk Control and Robust Maintenance of Urban Pipelines Network System
Jie Li
, Tongji University, Shanghai, China
Qunfang Hu, Tongji University, Shanghai, China

SS25: Practical Estimation of Structural Displacement and Its Applications
Tomonori Nagayama
, The University of Tokyo, Tokyo, Japan
Sung-Han Sim, Ulsan National Institute of Science and Technology, Ulsan, Korea
Structural displacement, oftentimes provided in the design, is an important structural quantity. For example, the restoring forces primarily depend on the displacement; the usability is often prescribed in terms of the displacement. However, the displacement of full-scale structures are not easily measured because reference points for structural displacement measurement are typically unavailable. Recent development of displacement estimation algorithm, device, and systems are expected to allow for practical displacement estimation on structures. In this special session, the displacement estimation methods and their applications are discussed. Possible technologies involved include but are not limited to accelerometers, inclinometers, optical device, Laser, Radar, wireless sensing, and signal processing.

SS26: Monitoring-based Performance Assessment of Infrastructure
Jiazeng Shan
, Tongji University, Shanghai, China
Eleni Chatzi, ETH Zurich, Zurich, Switzerland
The proposed special session focuses on the structural monitoring-aided performance assessment of civil infrastructure, such as high-rise buildings, long-span bridges, wind-turbine structures, lifelines (e.g. roadways, pipelines, powerlines), and controlled systems under operational conditions or/and under disastrous events (e.g. earthquakes, strong winds). Health diagnostics and damage detection on the basis of structural monitoring technologies has been actively investigated for several decades. This special session discusses late advances in the field, focusing on critical issues that pertain to short/long term condition assessment, reliability prognosis, life-cycle management and smart decision making. Both theoretical and computational aspects in forward and inverse engineering are covered, especially in conjunction with applications in structural dynamics, earthquake engineering, mechanical and aerospace engineering, as well as other relevant areas.

SS27: Monitoring-based Life Cycle Assessment of Infrastructures
Chunxu Qu
, Dalian University of Technology, Dalian, China
Dong-Hui Yang, Dalian University of Technology, Dalian, China
Infrastructures are always subjected to various service loadings and environmental actions, such as traffic loadings, chloride attack, temperature, and etc., throughout the whole service life. Therefore, the structures are at risk of aging and deterioration which will cause unsatisfactory performance. In order to thoroughly understand structural performance deterioration process and mechanism, structure health monitoring systems have been widely applied to some important infrastructures, such as long span bridges. The mini session welcomes novel contributions on monitoring-based life cycle performance assessment of infrastructures, residual service life prediction based on monitoring data, decisions of maintenance of deteriorating structures based on monitoring data analysis, and any other issue related to monitoring data analysis.

SS28: Monitoring-based Bridge Condition Assessment and Safety Warning
You-liang Ding
, Southeast University, Nanjing, China
Ting-hua Yi, Dalian University of Technology, Dalian, China
The environmental actions (wind, temperature, rain, earthquake, etc.) and the bridge usage (traffic loadings) can continually modify the behavior and cause deterioration of long-span bridges in their long-term lifespan. Thus, research and application of bridge health monitoring and safety assessment are inevitable requirements for the sustainable development of bridge engineering. Many monitoring systems have powerful ability in rapid and large-capacity data measurement, transmission and storage. However, these monitoring systems can only measure and store mass monitoring data, and are difficult to serve for the structural condition assessment and safety warning for long-span bridges. The special session aims to discuss the theory, methodology and technique for monitoring-based bridge condition assessment and safety warning, which will be helpful to improve the scientific and technological level in structural health monitoring of bridge structures.

SS29: Innovative Technologies for System Integration, SHM Application, and Structural Performance Assessment
Jun Teng
, Harbin Institute of Technology (Shenzhen), Shenzhen, China
Wei Lu, Harbin Institute of Technology (Shenzhen), Shenzhen, China
Chengyin Liu, Harbin Institute of Technology (Shenzhen), Shenzhen, China
Weihua Hu, Harbin Institute of Technology (Shenzhen), Shenzhen, China
Structural health monitoring technologies have the potential to reduce the uncertainties associated with the prediction of performance profiles of deteriorating buildings and civil infrastructures. However, there are still a lot of challenges in system integration and engineering applications in the real world, as well as further theoretical framework to extract authentic information from monitoring data to provide desired solution to assess safety and serviceability of the instrumented structures. This special session welcomes all contributions related to the aforementioned subjects, in order to exchange our experiences on recent innovation of SHM technology. Topics relevant to this session include, but not limited to, system integration, performance assessment methods, structural safety analysis, damage diagnostic and identification schemes, field implementation of SHM, sensing technologies, and data fusion and optimization.

SS30: Understanding, Mitigating, and Utilizing Human Induced Structural Responses
Hae Young Noh
, Carnegie Mellon University, Pittsburgh PA, USA
Pei Zhang, Carnegie Mellon University, Pittsburgh PA, USA
This special session invites papers investigating the topic of human induced structural responses. This session focuses on algorithms, theory, modeling, implementation, evaluation, and deployment experiences for control and monitoring of human induced structural responses, using mechanics, structural dynamics, human-in-the-loop, signal processing, machine learning, and/or social sensors. Topics of interest include, but are not limited to, 1) understanding and modeling of structural responses induced by humans or animals, 2) analysis of everyday and/or extreme activities of humans in the structures, 3) improve the structural performance through mitigating the human effects, 4) enabling human-centric structure management to improve human comfort and productivity, and 5) innovative applications. 

SS31: Application of Structural Health Monitoring techniques
Shunlong Li
, Harbin Institute of Technology, Harbin, China
Yang Liu, Harbin Institute of Technology, Harbin, China
Fujian Zhang, CCCC Highway Consultants CO., Ltd. (HPDI), Beijing, China
This session mainly focus on the following topics: introduction of actual monitoring systems; experience of monitoring system implementation, construction and verification; management and maintenance of monitoring systems; data analysis and safety evaluation etc. The authors could submit the full paper or only the abstract in English. And oral presentations could be made in English or in Chinese (Bilingual).
The selected full paper in this session would be recommended for enrollment of EI Village.

SS32: Smart and Multifunctional Concrete
Xinchun Guan
, Harbin institute of technology, Harbin, China
Zhengwu, Jiang, Tongji University, Shanghai, City, China
Baoguo Han, Dalian University of technology, Dalian, China
Better mechanical properties are the main research goal of conventional concrete. With the developing of health monitoring, besides mechanical properties, multifunctional properties of concrete got more and more attention. The real-time monitoring of the multifunctional characteristics of the material enables the prediction of the level of damage and/or the potential failure of the structure. This session mainly focus on the researches that endow concrete multifunctional properties such as self-sensing, self-healing, high damping and high toughness and so on.

SS33: Strain-based structural health monitoring: new developments and applications
Jian Li
, University of Kansas, Lawrence, KS, USA
Simon Laflamme, Iowa State University, Ames, IA, USA
Hao Wang, Southeast University, Nanjing, China
Strain is a main indicator of structural performance and has been used extensively in SHM for its relatively straightf
orward data processing and interpretation. Examples of applications include fatigue life assessment, capacity evaluation, local damage (including crack) detection, and global response estimation. In the past years, innovative strain sensing techniques, data processing algorithms and applications have greatly advanced frontiers in strain-based SHM leveraging data-driven and/or physics-driven methodologies. Topics relevant to this special session include, but are not limited to, self-strain sensing materials, advanced strain measurement techniques, strain-based structural assessment and prognosis, dense and sparse strain gauge and fiber optics networks, etc.

SS34: Dense arrays of sensors, distributed and quasi-distributed sensors, and associated data analysis and management


Branko Glisic, Princeton University, NJ, USA

Daniele Zonta, University of Strathclyde, Glasgow, UK


Structural damage commonly results in local changes in the strain field, and therefore placing strain-sensitive sensors close to a possible damage location enhances the probability to identify its occurrence. However, it is likewise very difficult to predict the exact location of a damage prior it arises. Very dense arrays of sensors hold promise to meet this challenge, as their coverage of the monitored structure, or part of the structure, significantly increases the chances of being in contact with damage. Hence, very dense arrays of sensors have potential for an accurate and reliable detection, localization, and quantification of damage.

A number of innovative technologies featuring dense arrays of sensors have emerged in the last two decades: (i) 1D distributed fiber optic sensors; (ii) 2D distributed sensing skins, paints, and sheets based on nano-technologies, large-area electronics, photonic crystals (nanospheres), conductive polymers, etc.; (iii) 2D and 3D active wave sensing techniques, embedded MEMS, and self-sensing materials. 

The aims of this special session are (1) to evaluate the progress of the methods enabling dense arrays of sensors, (2) to identify potential future research areas (e.g., related to their applicability on real structures) and (3) to cross-fertilize the research and practice through an exchange of ideas. The topic of the session is not limited to sensors and sensing techniques, but also includes data analysis and management, and power harvesting techniques that can address large-scale implementations.

SS35: Innovative developments in structural system identification
Satish Nagarajaiah, Rice University, Houston, USA
Ying Lei, Xiamen University, Xiamen, China
Ling Yu, Jinan University, Guangzhou, China
Structural system identification using monitoring data can offer valuable information in evaluating structural durability, reliability and integrity, and in ensuring optimal maintenance planning and safe infrastructure operations. However, there are still a lot of challenges in system identification of structures based on monitoring data, as the data size from structural health monitoring is very large—approaching big data. This special session welcomes all the contributions related to the innovative developments in structural system identification, particular for based on emerging sparse representation, statistical learning, compressive sensing, deep learning techniques that comprise the big data paradigm.