Quantitative Structural Health Monitoring for Damage Detection
Quantitative Structural Health Monitoring for Damage Detection
批准号:
EP/E054951/1
负责人:
Paul Wilcox
金额:
$52.13万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2007
资助国家:
英国
项目状态:
已结题
起止时间:
2007 至 --
中文摘要
结构健康监测(SHM)的目标是将一个或多个测量系统嵌入到结构中,例如飞机或桥梁,这些系统可以在结构使用时提供结构当前状况的信息。在本提案中,重点是检测结构局部损伤的系统,无论是由于退化(例如疲劳,腐蚀)还是意外的外部事件(例如冲击)。替代SHM的方法是使用非破坏性评估(NDE)技术来检测这种损伤,这种技术通常需要在结构上扫描传感器。与无损检测相比,SHM的吸引力在于降低了检测成本和与检测相关的结构“停机时间”。然而,为了使SHM系统取代无损检测程序,SHM系统必须能够在所有感兴趣的位置证明在损伤敏感性方面具有同等或更好的量化性能。用于损伤检测的SHM系统没有从研究实验室发展到工业的一个关键原因是,量化性能的问题没有得到令人满意的解决。需要有可量化的表现,这是本奖学金申请中提出的所有工作的基础。两个子项目将形成一个集成的SHM系统,该系统使用引导声波在主动和被动模式下进行损伤检测。第三个子项目解决了提供适用于主动和被动检测的通用性能校准策略的关键问题。该研究的总体目标是提供科学的方法,使用于损伤检测的SHM系统能够从实验室过渡到工业。
英文摘要
The objective of structural health monitoring (SHM) is to embed one or more measurement systems into a structure, such as an aeroplane or bridge, that can provide information on the current condition of the structure while it is in service. In this proposal the emphasis is on systems to detect localised damage to a structure, whether due to degradation (e.g. fatigue, corrosion) or unexpected external events (e.g. impacts). The alternative to SHM is to detect such damage using non-destructive evaluation (NDE) techniques that usually require a sensor to be scanned over the structure. The attraction for SHM over NDE is the reduction in inspection cost and the structural 'down-time' associated with inspection. However, for an SHM system to supersede an NDE procedure it is necessary for the SHM system to be able to demonstrate quantifiably equal or superior performance in terms of sensitivity to damage at all locations of interest. A key reason why SHM systems for damage detection have not progressed from research laboratories into industry is because the issue of quantifiable performance has not been satisfactorily addressed. The need to have quantifiable performance underpins all the work proposed in this Fellowship application. Two sub-projects are defined that will lead to an integrated SHM system that uses guided acoustic waves in both active and passive modalities for damage detection. A third sub-project addresses the key issue of providing a generalised performance calibration strategy that is applicable to both active and passive detection. The overall goal of the Fellowship is to provide the scientific way forward that will enable SHM systems for damage detection to make the transition from laboratory to industry.
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DOI:
10.1063/1.3591844
发表时间:
2011-06
期刊:
影响因子:
--
作者:
[P. Wilcox;A. Velichko;B. Drinkwater;A. Croxford;M. Todd]
通讯作者:
P. Wilcox;A. Velichko;B. Drinkwater;A. Croxford;M. Todd
DOI:
10.1109/sas13374.2008.4472945
发表时间:
2008-03
期刊:
2008 IEEE Sensors Applications Symposium
影响因子:
--
作者:
[J. Michaels;A. Croxford;P. Wilcox]
通讯作者:
J. Michaels;A. Croxford;P. Wilcox
DOI:
10.1177/1475921711414232
发表时间:
2012-03
期刊:
Structural Health Monitoring
影响因子:
--
作者:
[Eric B. Flynn;M. Todd;A. Croxford;B. Drinkwater;P. Wilcox]
通讯作者:
Eric B. Flynn;M. Todd;A. Croxford;B. Drinkwater;P. Wilcox
DOI:
10.1121/1.3467775
发表时间:
2010-09
期刊:
The Journal of the Acoustical Society of America
影响因子:
--
作者:
[A. Velichko;P. Wilcox]
通讯作者:
A. Velichko;P. Wilcox
Improving Inspection Reliability through Data Fusion of Multi-View Array Data
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批准号:EP/N015924/1
-
项目类别:Research Grant
-
资助金额:$34.6万
-
财政年份:2016
-
负责人:Paul Wilcox
-
依托单位:
Enhanced Ultrasonic 3D Characterisation Of Composites Using Full Matrix Capture Of Array Data
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批准号:EP/H010920/1
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项目类别:Research Grant
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资助金额:$28.56万
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财政年份:2010
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负责人:Paul Wilcox
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依托单位:
Sub-wavelength characterisation of defects in inaccessible regions using guided waves
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批准号:EP/G052069/1
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项目类别:Research Grant
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资助金额:$22.69万
-
财政年份:2009
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负责人:Paul Wilcox
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依托单位:
Two-Dimensional Arrays for the Quantitative Characterisation of Complex Defects
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批准号:EP/F005032/1
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项目类别:Research Grant
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资助金额:$33.51万
-
财政年份:2008
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负责人:Paul Wilcox
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依托单位:
Efficient Structural Health Monitoring Using Sparse Distributed Sensor Arrays
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批准号:EP/C541960/1
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项目类别:Research Grant
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资助金额:$26.25万
-
财政年份:2006
-
负责人:Paul Wilcox
-
依托单位:
国内基金
海外基金
Understanding structural evolution of galaxies with machine learning
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批准号:
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项目类别:省市级项目
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资助金额:10.0万元
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批准年份:2022
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负责人:Nicola Rosario Napolitano
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依托单位: