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STRUCTURES 2025: A HIGH FIDELITY, DATA RICH, PARADIGM FOR STRUCTURAL TESTING

STRUCTURES 2025: A HIGH FIDELITY, DATA RICH, PARADIGM FOR STRUCTURAL TESTING
STRUCTURES 2025:高保真、数据丰富的结构测试范例
批准号:
EP/R008787/1
负责人:
Janice Barton
金额:
$145.75万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

项目摘要

项目成果

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中文摘要
翻译
总体目标是开发一个用于测试和评估大型结构的设施,称为结构2025。为了建造这样一个设施,必须购买专门设备,其中包括成像、装载和控制系统。Structures 2025将提供一种灵活的新型集成成像和加载系统,可用于测试和评估跨行业的各种结构。Structures 2025的独特之处在于,它将首次实现对大型构件和结构的行为进行数据丰富的研究,这些构件和结构受到模拟服务中结构行为的真实负载情景的影响。这将有可能模拟飞行中的飞机、铁路结构、桥梁和汽车所感受到的载荷,并更好地了解结构如何支撑使用中所经历的载荷。Structures 2025将使新型轻质材料引入交通系统,从而实现节能和更可持续的设计方法。Structures 2025的独特性基于成像,其中可以收集大量数据以提供关于结构响应的信息。成像将基于可见光和红外摄像机系统,该系统从加载结构中捕获数据并用于评估应变和变形。传统的传感器仅获取点读数,而图像提供宽视场的数据,由于成像设备中的每个传感器都提供测量,因此应用了术语“数据丰富”。一个完整的系统集成将开发和实施,结合使用多执行器加载系统与成像系统的负载应用。将各种技术结合成一个单一的综合系统在国际上将是独一无二的,并将能够在迄今为止无法达到的物理现实水平上准确评估材料失效机制/模式与结构刚度/强度驱动失效模式之间的相互作用。Structures 2025将提供对结构部件的高保真数据丰富的测试,与多尺度计算建模相结合,以提供更好的结构故障预测模型,并创建更安全,更高效的结构。Structures 2025将与16个行业合作伙伴密切合作,代表铁路基础设施,土木工程,实验技术开发,能源系统,海洋和海上,航空航天部门以及几所大学合作伙伴。
英文摘要
The overarching aim is to develop a facility for the testing and evaluating of large structures, called Structure 2025. To construct such a facility it is necessary to purchase specialist equipment, which comprises imaging, loading and control systems. Structures 2025 will provide a novel integrated imaging and loading system that is flexible, and can be used for the testing and assessment of a wide range of structures across industry sectors. The unique feature of Structures 2025 is that it will, for the first time, enable data-rich studies of the behaviour of large components and structures subjected to realistic loading scenarios mimicking the behaviour of a structure in service. It will be possible to model the loads felt by aircraft in flight, railway structures, bridges and cars and understand better how the structure supports the load experienced in service. Structures 2025 will enable the introduction of new lightweight materials into transport systems allowing energy savings and a more sustainable approach to design. The uniqueness of Structures 2025 is predicated on imaging, where large amounts of data can be collected to provide information about the structural response. The imaging will be based on both visible light and infra-red camera systems which capture data from the loaded structure and used to evaluate strains and deformations. Traditional sensors take only point readings, whereas images provide data over a wide field of view, since each sensor in the imaging device provides a measurement, the terminology 'data-rich' is applied. A complete system integration will be developed and implemented, that combines the load application using a multi-actuator loading system with the imaging systems. The combination of techniques into a single integrated system will be unique internationally, and will enable the accurate assessment of the interactions between material failure mechanisms/modes and structural stiffness/strength driven failure modes on a hitherto unattainable level of physical realism. Structures 2025 will provide what can be termed high-fidelity data-rich testing of structural components, to integrate with multi-scale computational modelling to provide better predicitive models of structural failure and create safer and more efficient structures. Structures 2025 will be developed in close collaboration with 16 industry partners, representing the rail infrastructure, civil engineering, experimental technique development, energy systems, marine and offshore, and aerospace sectors, as well as several university partners.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者: [G.]
通讯作者: G.
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者: [Dulieu-Barton J M]
通讯作者: Dulieu-Barton J M
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者: [Geir]
通讯作者: Geir
Quantitative Full-Field Data Fusion for Evaluation of Complex Structures
用于评估复杂结构的定量全场数据融合
DOI: 10.1007/s11340-023-00973-8
发表时间: 2023
期刊: Experimental Mechanics
影响因子: 2.4
作者: [Callaghan J]
通讯作者: Callaghan J
共 9 条
    FULL-FIELD DATA-RICH EXPERIMENTAL APPROACHES TO EXPLAIN COMPOSITE MATERIAL AND STRUCTURAL PERFORMANCE AND ITS DAMAGE TOLERANCE
    • 批准号:
      EP/G042403/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $48.5万
    • 财政年份:
      2009
    • 负责人:
      Janice Barton
    • 依托单位:
    Improvement of Chemistry Laboratories with FTIR Spectroscopy
    • 批准号:
      9550979
    • 项目类别:
      Standard Grant
    • 资助金额:
      $1.16万
    • 财政年份:
      1995
    • 负责人:
      Janice Barton
    • 依托单位:
    Modernization of Chromatographic and Electrophoretic Instrumentation in Biology and Chemistry
    • 批准号:
      8650399
    • 项目类别:
      Standard Grant
    • 资助金额:
      $3.46万
    • 财政年份:
      1986
    • 负责人:
      Janice Barton
    • 依托单位:
    Microtubules: Structural and Assembly Properties
    • 批准号:
      7820083
    • 项目类别:
      Standard Grant
    • 资助金额:
      $2.82万
    • 财政年份:
      1978
    • 负责人:
      Janice Barton
    • 依托单位:
    国内基金
    海外基金
    2025-2050年湖南省有效劳动力供给预测、潜在风险及应对策略研究
    • 批准号:
      2025JJ50461
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2025
    • 负责人:
      陈华帅
    • 依托单位:
    浙江省人为源甲烷和氧化亚氮排放(2011-2025)与减排潜力、经济成本、社会收益研究及未来排放预测
    • 批准号:
      QN25D050007
    • 项目类别:
      省市级项目
    • 资助金额:
      --
    • 批准年份:
      2025
    • 负责人:
      丰睿
    • 依托单位:
    战略与管理研究类:水利学科前沿发展研讨会(2025)
    • 批准号:
      52542901
    • 项目类别:
      专项基金项目
    • 资助金额:
      10.00万元
    • 批准年份:
      2025
    • 负责人:
      唐洪武
    • 依托单位:
    共享航次计划2025年度渤海冬季冰—海系统关键过程及其生态环境效应重大科学考察实验研究(航次编号:NORC2025-302)
    • 批准号:
      42449302
    • 项目类别:
      专项基金项目
    • 资助金额:
      450.00万元
    • 批准年份:
      2024
    • 负责人:
      程晓
    • 依托单位: