|Projects : CUREE-Kajima Joint Research Program
Now in our second decade of Kajima-funded projects, the CUREE-Kajima Research Program is a joint venture with the Kajima Corporation of Japan involving collaborative studies among researchers in the US and Japan. The topies researched have spanned many areas, but the theme of inter-university collaboration, and in this case international collaboration, remains the same.
CUREE-Kajima Phase V
VISION-BASED MOTION TRACKING FOR RISK ASSESSMENT DURING SEISMIC EVENTS
Professor Tara C. Hutchinson
University of California, Irvine
Previous experiences during earthquake events emphasize the need for new technologies for real-time monitoring and assessment of facilities with high value nonstructural elements such as equipment or other contents. Moreover, there is substantial limitation in our ability to rapidly evaluation and identify potential hazard zones within a structure, exposing rescue workers, society and the environment to unnecessary risks. A real-time monitoring system, integrated with critical warning systems, would allow for improved channeling of resources. In recognition of these issues, we propose to investigate vision-based systems, specifically digital infrared cameras and video cameras, and develop a methodology for utilizing advanced monitoring techniques for risk assessment during earthquake events.
Our approach will be to develop a non-intrusive, high-resolution, high-speed network of these two types of vision-based systems and corresponding detection, tracking and analysis algorithms for monitoring equipment and contents in buildings. Shake table experiments will be utilized as a foundation for evaluating the approach. These experiments will use conventional (wire and wireless) transducers, providing a unique dataset for evaluating and refining the vision-based approach and delivering a proof-of-concept system to Kajima. A portion of this work will also be devoted to analyzing more conventional streamline image data (e.g. at lower resolution or lower speed), in recognition that many structures have such systems as their primary monitoring system for security purposes. In reality, earthquake events are our only full-scale, complete test bed for studying design methodologies and developing new strategies to mitigate future hazards and we propose to fully exploit data generated from these events.
Published Report -
CKV-02: Vision-Based Motion Tracking for Risk Assessment During Seismic Events
FRAMEWORK FOR INTEGRATION AND VISUALIZATION OF STRUCTURAL STATE DATA
Bozidar Stojadinovic, Assistant Professor
University of California, Berkeley
A civil engineering structure, a building or a bridge, undergoes many changes during its lifetime. Knowing the state of a structure is very important because we always strive to save lives in emergency situations and improve overall quality of life for people who use the structure. Recent advances in sensing and network technologies make it possible to collect a multitude of various data in and around the structure and to establish its state in a much more comprehensive manner than ever before by integrating this data. The goal of this project is to conceptualize, develop and implement a prototype of a framework for gathering, classification and integration of structural state data collected in and around a structure, and to enable effective visualization and fusion of such data to define the state of a structure. The components of the proposed prototype framework are structural state data types and meta-data, a structural state database, and database visual access tool built using Virtual Reality Modeling Language. Utility of this prototype framework will be evaluated using a small-scale shaking table test of an instrumented model frame.
Published Report -
CKV-03: Framework for Integration and Visualization of Structural State Data
FOUNDATION FOR INTEGRATING INNOVATIVE STRUCTURAL HEALTH MONITORING AND STRUCTURAL CONTROL CONCEPTS
B.F. Spencer, Jr.
University of Illinois at Urbana-Champaign
The objective of this research is to develop a broad foundation for integrating together innovative structural health monitoring and structural control concepts aimed at extending the life of civil structures, helping to ensure the safety and performance of the structural system, and accurately assessing the condition of a structure immediately after a hazardous event. This comprehensive research plan seeks to develop an integrated system, including appropriate hardware, software, and networking components for acquisition and transmission of the data, as well as development of new diagnostic methods.
Although structural health monitoring and condition assessment is still in its infancy, the field of monitoring holds great promise. Similarly, structural response control, particularly those systems developed by the Kobori Research Complex at Kajima Corporation, have revolutionized the way that buildings can respond to dynamics loads. Combining these two technologies together offers even more opportunities.
This proposal is expected to make substantial strides in this direction, including (i) development of networked intelligent wireless sensors for health monitoring and control of structures based on the Berkeley Mote platform [note that employing the Mote platform will allow leveraging of the substantial resources that have already been invested by the Defense Advanced Research Projects Agency (DARPA)], (ii) development of structural health monitoring and control (SHM/C) algorithms that can take advantage of intelligent wireless sensor arrays, and (iii) proof of concept experiments on both laboratory and full-scale structures. The PI is committed to working closely with the researchers at the Kobori Research complex to develop a long-term collaboration that will synergistically advance this research. Successful completion of this collaborative research will enhance economic and practical strategies for structural health monitoring and control for natural hazard mitigation.
Additionally, the proposed activity will substantially advance the education of the students and young researchers involved.