FOCUS: Intelligent Fibre Optic Monitoring to Inform the Construction of Underground Services

焦点:智能光纤监控为地下服务建设提供信息

基本信息

  • 批准号:
    EP/T006900/1
  • 负责人:
  • 金额:
    $ 30.51万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2020
  • 资助国家:
    英国
  • 起止时间:
    2020 至 无数据
  • 项目状态:
    已结题

项目摘要

UK construction is a multi-billion pound industry. While it is the most vital cog in the UK economy for creating physical assets, it is widely regarded as slow to innovate. High risks and the significant cost of mistakes promotes a level of conservatism which is much greater compared to other industries. Change therefore tends to be iterative and cautious. Supported by the UK Government through the implementation of various construction initiatives, such as 'Construction 2025' and 'Transforming Construction', the industry is beginning to embrace technology in a transformative way. The technological revolution is already under way for 'above-ground' construction activities, with modular construction and building information modelling being primary examples. One of the biggest obstacles to underground construction making similar gains is uncertainty surrounding how structures interact with soils during construction operations i.e. 'soil-structure interaction' (SSI). Soil-structure interaction plays a critical role in underground construction operations yet the tools that are used to predict them remain remarkably over-conservative. This is because predictive models for SSI are non-existent, over-simplified or are calibrated against measured data obtained from model-scale replicas of the process in the laboratory, essentially representing an 'ideal' soil-structure interface. The work described in this proposal will develop the underpinning engineering science for SSI design applied to underground construction. Laboratory testing and numerical modelling will be used to elucidate the mechanics of soil-structure interface behaviour such as the role of strain level, stress level and time on the development of soil-structure contact stresses and pore water pressures. Intelligent monitoring systems will be developed to measure and monitor soil-structure contact stresses on live construction projects to provide (i) field data for rigorous validation of developed design methods and (ii) real-time, automated feedback to site engineers to inform construction processes and provide 'early warning' of adverse responses. Recent advances in fibre optic sensing will be exploited to develop novel multi-directional contact stress sensors. The new sensors will alleviate limitations associated with traditional transducers such as excessive sensor flexibility (which actually influences the soil stress field the sensors are intended to measure) and immunity to electromagnetic noise and water damage. A multi-directional interface shear apparatus will be developed to validate the contact stress sensors and provide additional insight into the behaviour of an 'ideal' soil-structure interface in the laboratory. The monitoring system will employ machine learning algorithms in the form of Bayesian non-parametrics such that prior data from previous construction projects may be synthesised with newly-acquired data to provide a robust data-driven decision-making process. The monitoring system will be deployed on live construction projects in the UK alongside industry partners. A suite of new design methods tailored specifically for underground construction operations will be developed, informed by the field monitoring, laboratory testing and numerical modelling. Embracing the innovation and technology developed in this project will allow the construction industry to obtain and utilise intelligent and actionable data that can save time and money, and improve construction safety. This will contribute to the UK becoming a global hub for the rapidly growing market for construction-related services throughout the world.
英国建筑业是一个价值数十亿英镑的产业。尽管它是英国经济中创造实物资产最重要的齿轮,但人们普遍认为它创新缓慢。高风险和重大错误成本促进了保守主义程度,与其他行业相比,这种程度要高得多。因此,变革往往是迭代且谨慎的。在英国政府通过实施“建筑 2025”和“建筑转型”等各种建筑举措的支持下,该行业开始以变革的方式拥抱技术。 “地上”建筑活动的技术革命已经开始,模块化建筑和建筑信息模型就是主要例子。地下施工取得类似成果的最大障碍之一是施工过程中结构与土壤相互作用的不确定性,即“土壤-结构相互作用”(SSI)。土壤-结构相互作用在地下施工作业中发挥着至关重要的作用,但用于预测它们的工具仍然过于保守。这是因为 SSI 的预测模型不存在、过于简化或根据实验室模型规模复制过程获得的测量数据进行校准,本质上代表了“理想”的土壤-结构界面。本提案中描述的工作将为应用于地下建筑的 SSI 设计开发基础工程科学。实验室测试和数值模拟将用于阐明土-结构界面行为的力学,例如应变水平、应力水平和时间对土-结构接触应力和孔隙水压力发展的作用。将开发智能监测系统来测量和监测现场施工项目的土壤结构接触应力,以提供(i)现场数据以严格验证已开发的设计方法,以及(ii)向现场工程师提供实时、自动反馈,以告知施工过程并提供不良反应的“早期预警”。光纤传感领域的最新进展将用于开发新型多向接触应力传感器。新传感器将减轻与传统传感器相关的局限性,例如传感器过度灵活性(这实际上会影响传感器要测量的土壤应力场)以及对电磁噪声和水损害的免疫力。将开发多向界面剪切装置来验证接触应力传感器,并为实验室中“理想”土壤-结构界面的行为提供更多见解。监测系统将采用贝叶斯非参数形式的机器学习算法,以便将先前建设项目的先前数据与新获取的数据进行综合,以提供强大的数据驱动决策过程。该监控系统将与行业合作伙伴一起部署在英国的现场施工项目上。根据现场监测、实验室测试和数值建模的信息,将开发一套专门为地下施工作业量身定制的新设计方法。采用该项目开发的创新和技术将使建筑行业能够获取和利用智能且可操作的数据,从而节省时间和金钱,并提高施工安全性。这将有助于英国成为全球快速增长的建筑相关服务市场的全球中心。

项目成果

期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Cutting shoe design for open caissons in sand: influence on vertical bearing capacity
砂中沉箱截靴设计:对竖向承载力的影响
Undrained uplift resistance of under-reamed open caisson shafts
扩孔沉井竖井不排水抗拔力
  • DOI:
    10.1680/jgeot.21.00090
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sheil B
  • 通讯作者:
    Sheil B
Bearing capacity of open caissons embedded in sand
埋砂沉箱的承载力
  • DOI:
    10.1680/jgeot.21.00089
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sheil B
  • 通讯作者:
    Sheil B
Comparison of Insar and Numerical Modelling for Tailings Dam Monitoring the Cadia Failure, Australia
澳大利亚卡迪亚溃坝监测尾矿坝 Insar 模型与数值模型的比较
  • DOI:
    10.1109/igarss46834.2022.9883604
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bayaraa M
  • 通讯作者:
    Bayaraa M
Prediction of Pipe-Jacking Forces Using a Bayesian Updating Approach
  • DOI:
    10.1061/(asce)gt.1943-5606.0002645
  • 发表时间:
    2022-01
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    B. Sheil;S. Suryasentana;J. Templeman;B. Phillips;W. Cheng;Limin Zhang
  • 通讯作者:
    B. Sheil;S. Suryasentana;J. Templeman;B. Phillips;W. Cheng;Limin Zhang
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Brian Sheil其他文献

A three-stage approach based on 1D-CNNs for AE source localisation on historic fibrous plaster ceilings
基于 1D-CNN 的三阶段方法,用于历史纤维石膏天花板上的声发射源定位
  • DOI:
    10.1177/14759217241245309
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jiaxu Zuo;Brian Sheil;S. Acikgoz
  • 通讯作者:
    S. Acikgoz
Ground settlement prediction for open caisson shafts in sand using a neural network constrained by empiricism
使用受经验约束的神经网络预测沙中沉井的地面沉降
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    5.3
  • 作者:
    G. Song;Yuan He;Brian Sheil;James Morris
  • 通讯作者:
    James Morris
Entity Embeddings in Remote Sensing: Application to Deformation Monitoring for Infrastructure
遥感中的实体嵌入:在基础设施变形监测中的应用
  • DOI:
    10.3390/rs15204910
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Maral Bayaraa;Cristian Rossi;F. Kalaitzis;Brian Sheil
  • 通讯作者:
    Brian Sheil

Brian Sheil的其他文献

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{{ truncateString('Brian Sheil', 18)}}的其他基金

PERMEATION OF POLYMER FLUIDS IN SOILS (PoPFS)
聚合物流体在土壤中的渗透 (PoPFS)
  • 批准号:
    EP/X034453/1
  • 财政年份:
    2024
  • 资助金额:
    $ 30.51万
  • 项目类别:
    Research Grant

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SPECTRAIL - Low cost intelligent infrastructure through fibre acoustic transmission.
SPECTRAIL - 通过光纤声学传输的低成本智能基础设施。
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  • 财政年份:
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SWIFT: Smart Wearable Intelligent Fibre-based Technology
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    Research Grant
SWIFT: Smart Wearable Intelligent Fibre-based Technology
SWIFT:智能可穿戴智能光纤技术
  • 批准号:
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Bridge Health Monitoring using an Intelligent System based on Bragg Grating Fibre Optic Sensors
使用基于布拉格光栅光纤传感器的智能系统进行桥梁健康监测
  • 批准号:
    LP0347804
  • 财政年份:
    2003
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    Linkage Projects
Intelligent and objective measurement of wool fibre diameter
智能、客观测量羊毛纤维直径
  • 批准号:
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  • 资助金额:
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