An integrated physics-based and data-driven approach to structural condition identification
一种基于物理和数据驱动的结构状况识别综合方法
基本信息
- 批准号:EP/R021090/1
- 负责人:
- 金额:$ 12.84万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2018
- 资助国家:英国
- 起止时间:2018 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Infrastructure performance is important for a nation's economy and its people's quality of life. Inadequate infrastructure is estimated to cost the UK £2 million a day, in terms of maintenance and management. To manage and protect infrastructure efficiently and effectively, the proposed project aims to develop an integrated algorithm to create a reliable and effective approach for structural health monitoring, which can find different applications.Metallic structures are widely employed in both transport and energy infrastructure. As load transferring elements, connections in such structures are vulnerable due to stress concentrations, with localised damage being particularly hard to detect even under regular inspections. Therefore, the case study of this research will focus on the monitoring of connection condition in bolted or riveted structures.The project will commence with an experimental investigation of a steel beam with end bolt connections under different damage scenarios due to loosening/lack-of-fit. Monitoring data from strain gauges and accelerometers will be processed to determine the beam's dynamic features. A finite element model will also be constructed and calibrated using the experimental results. Last but not least, an integrated deep learning algorithm will be developed for structural condition identification. There are two innovations in the suggested approach. Firstly, it integrates physics-based and data-driven methods. Secondly, the exploitation of deep learning enables the identification and optimisation of non-linear features, due to the existence of multiple hidden layers.Thus, the proposed project aims to make a novel contribution to structural health monitoring with diverse applications in different structural types.
基础设施绩效对一个国家的经济和人民的生活质量至关重要。据估计,在维护和管理方面,基础设施不足每天要花费英国200万英镑。为了高效有效地管理和保护基础设施,本项目旨在开发一种集成算法,以创建可靠有效的结构健康监测方法,该方法可以找到不同的应用。金属结构广泛应用于交通和能源基础设施。作为荷载传递元件,这种结构中的连接由于应力集中而变得脆弱,即使在定期检查下也很难检测到局部损伤。因此,本研究的案例研究将集中在螺栓或铆接结构连接状态的监测上。该项目将首先对一根带有端螺栓连接的钢梁进行实验研究,研究其在不同情况下因松动或不配合而造成的损伤。来自应变计和加速度计的监测数据将被处理以确定梁的动态特征。本文还将根据实验结果建立有限元模型并进行校正。最后,将开发一种用于结构状态识别的集成深度学习算法。在建议的方法中有两个创新之处。首先,它结合了基于物理和数据驱动的方法。其次,由于存在多个隐藏层,深度学习的利用使得非线性特征的识别和优化成为可能。因此,提出的项目旨在为不同结构类型的结构健康监测做出新的贡献。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
SHMnet: Condition assessment of bolted connection with beyond human-level performance
- DOI:10.1177/1475921719881237
- 发表时间:2019-10
- 期刊:
- 影响因子:0
- 作者:Tong Zhang;S. Biswal;Ying Wang
- 通讯作者:Tong Zhang;S. Biswal;Ying Wang
Condition identification of bolted connections using a virtual viscous damper
- DOI:10.1177/14759217211009217
- 发表时间:2021-05
- 期刊:
- 影响因子:0
- 作者:S. Biswal;M. Chryssanthopoulos;Ying Wang
- 通讯作者:S. Biswal;M. Chryssanthopoulos;Ying Wang
Probability distribution of decay rate: a statistical time-domain damping parameter for structural damage identification
- DOI:10.1177/1475921718817336
- 发表时间:2019-01-01
- 期刊:
- 影响因子:6.6
- 作者:Ay, Ali M.;Khoo, Suiyang;Wang, Ying
- 通讯作者:Wang, Ying
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Ying Wang其他文献
Cross-shaped Hanning filter used in Fourier transform profilometry for accurate 3-D shape retrieval
用于傅里叶变换轮廓测量的十字形汉宁滤波器,用于精确的 3D 形状检索
- DOI:
10.1080/09500340.2021.1961903 - 发表时间:
2021-10 - 期刊:
- 影响因子:1.3
- 作者:
Xiangjun Kong;Fuzhong Bai;Yongxiang Xu;Ying Wang - 通讯作者:
Ying Wang
Prediction of Benefits of Special Taxi-Pooling Design for Large Transport Terminals: Case Study of Beijing West Railway Station
大型交通枢纽出租车专用拼车设计效益预测——以北京西站为例
- DOI:
10.3141/2542-05 - 发表时间:
2016-11 - 期刊:
- 影响因子:0
- 作者:
Weiran Yao;Ying Wang;Ning Wang;Gang Yang;Cheng Zhang - 通讯作者:
Cheng Zhang
Abnormal photoluminescence for GaAs/Al0.2Ga0.8As ring-like hybrid nanostructures grown by droplet epitaxy
液滴外延生长的GaAs/Al0.2Ga0.8As环状杂化纳米结构的异常光致发光
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:3.6
- 作者:
Linlin Su;Baolia Liang;Ying Wang;Qing Yuan;Qinglin Guo;shufang Wang;Guangsheng Fu;Diana L. Huffaker;Yuriy I. Mazur;Morgan E Ware;Yurii Maidaniuk;Gregory J. Salamo - 通讯作者:
Gregory J. Salamo
A recursive algorithm for constructing complicated Dixon matrices
构造复杂狄克逊矩阵的递归算法
- DOI:
10.1016/j.amc.2010.07.072 - 发表时间:
2010-11 - 期刊:
- 影响因子:4
- 作者:
Hongguang Fu;Ying Wang - 通讯作者:
Ying Wang
Growth of nanocrystalline β-Nb2N coating on 430 ferritic stainless steel bipolar plates of PEMFCs by disproportionation reaction of Nb(IV) ions in molten salt
通过 Nb(IV) 离子在熔盐中的歧化反应在 PEMFC 的 430 铁素体不锈钢双极板上生长纳米晶 β-Nb2N 涂层
- DOI:
10.1016/j.corsci.2020.108862 - 发表时间:
2020-09 - 期刊:
- 影响因子:8.3
- 作者:
Ling Xu Yang;Ling Xu Yang;Rui Jia Liu;Rui Jia Liu;Ying Wang;Ying Wang;Hui Jun Liu;Hui Jun Liu;Chao Liu Zeng;Chao Liu Zeng;Chao Fu;Chao Fu - 通讯作者:
Chao Fu
Ying Wang的其他文献
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{{ truncateString('Ying Wang', 18)}}的其他基金
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