Development of Hybrid Distributed Measurement System on Fracture Behavior of structures by Real-Time Processing on Multi-Input Acoustic Emission Waves.
| Project/Area Number |
59850068
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| Research Category |
Grant-in-Aid for Developmental Scientific Research
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| Allocation Type | Single-year Grants |
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| Research Field |
計測・制御工学
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| Research Institution | UNIVERSITY OF TOKYO |
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Principal Investigator |
YAMAGUCHI Kusuo Institute of Industrial Science, University of Tokyo, Professor, 生産技術研究所, 教授 (00013102)
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| Co-Investigator(Kenkyū-buntansha) |
ISHITANI Hisashi Faculty of Engineering, University of Tokyo, Associate Professor, 工学部, 助教授 (70013703)
KISHI Teruo Faculty of Engineering, University of Tokyo, Associate Professor, 工学部, 助教授 (40011085)
ICHIKAWA Hatsuo Institute of Industrial Science, University of Tokyo, Research Assistant, 生産技術研究所, 助手 (10013145)
HAMADA Takashi Institute of Industrial Science, University of Tokyo, Professor, 生産技術研究所, 教授 (70013191)
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| Project Period (FY) |
1984 – 1986
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| Project Status |
Completed (Fiscal Year 1986)
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| Budget Amount *help |
¥14,500,000 (Direct Cost: ¥14,500,000)
Fiscal Year 1986: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 1985: ¥2,900,000 (Direct Cost: ¥2,900,000)
Fiscal Year 1984: ¥10,600,000 (Direct Cost: ¥10,600,000)
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| Keywords | Acoustic Emission / AE / Waveform Parameters / NDI / Structure Monitoring / Fracture Behavior / Material Evaluation / 分散処理 / 波形特徴値 |
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| Research Abstract |
The aim of this research is to develop an effective system on evaluation and monitoring fracture behaviors in structures by detection and processing of acoustic emission waves.
For the purpose, a distributed and hierarchal system which has the structure contracted by such three parte as; ( <I> ) real-time waveform information extracting processors, ( <II> ) data qualification and event-data producing processor, ( <III> ) grouping and analysis processor.
The level( <I> ) are the specialized circuits each of which is composed of A/D converter, arithmetic units and CPU dedicated to processing one input channel and converts input waves to waveform parameters of 20 bytes called waveform microdata. The level( <II> ) converts the waveform microdata to event microdata processing of noise rejection, qualification and combination. The level( <III> ) produces effective information for behavior evaluation by analysis including sorts of grouping.
Notable feature of the system is the performance of high qualification and detailed analysis by utilizing waveform microdata including energy moment. The high performance has been recognized through experimental analysis and evaluation of fracture tests on structures and composites.
For the development of effective application of system to actual objects, flexible multioption software at multi-level operation is also being developed. By the software development, the system could be useful for such objects as optimum operation pathfinding, optimum system selection and optimu design.
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Report
(2 results)
Research Products
(10 results)
