Ground and Underground Infrastructure Damage Evaluation (GUIDE)
地面和地下基础设施损坏评估(指南)
基本信息
- 批准号:EP/P010415/1
- 负责人:
- 金额:$ 12.88万
- 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
- 起止时间:2017 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
All surface and buried infrastructure have a limited safe life and it is vital to evaluate their condition and structural integrity during their service life to avoid potential catastrophic failure due to their deterioration. Accurate assessment of infrastructure's condition is of significant financial and strategic importance and allows better resources planning. The research presented in this proposal offers an innovative solution in the form of a unified framework to assess and evaluate the condition and structural integrity of both underground utility and surface transportation infrastructure, and its surrounding ground, by means of combining physical non-destructive testing and numerical modelling. The physical tests will be used to generate necessary data for the damage detection algorithm. The numerical simulation involves a hybrid back-calculation algorithm based on integration of finite element analysis and a novel evolutionary computing technique. The proposed numerical approach will be able to capture the non-linear and complex behaviour of both the ground and the buried utility and detect damage in infrastructure by characterising reduction in the constitutive properties of the finite element model of the system between two time-separated inferences. The proposed framework in this project will provide sufficient information on mechanical and structural condition of a system and will enable asset managers to make informed decisions with respect to what, where, when and how interventions are required with emphasis on structural stability and integrity of the infrastructure.
所有地表和地下基础设施的安全寿命都是有限的,在其使用寿命期间对其状态和结构完整性进行评估是至关重要的,以避免因其恶化而潜在的灾难性失效。对基础设施状况的准确评估具有重要的财政和战略意义,有助于更好地规划资源。本提案的研究提供了一种创新的解决方案,以统一框架的形式,通过物理无损检测和数值模拟相结合,评估和评估地下公用设施和地面交通基础设施及其周围地面的状况和结构完整性。物理测试将用于生成损伤检测算法所需的数据。数值模拟采用了一种基于有限元分析和一种新的进化计算技术相结合的混合反算算法。所提出的数值方法将能够捕捉地面和地下公用设施的非线性和复杂行为,并通过表征两个时间间隔推断之间系统的有限元模型的本构特性的减少来检测基础设施的损坏。本项目提出的框架将提供有关系统机械和结构状况的充分信息,并使资产管理公司能够就需要进行何种、何地、何时以及如何进行干预做出明智的决定,重点是基础设施的结构稳定性和完整性。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Constraining gravity inversion using interpreted GPR data
使用解释的探地雷达数据约束重力反演
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Rahimzadeh F
- 通讯作者:Rahimzadeh F
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Asaad Faramarzi其他文献
Investigating the monotonic behaviour of hybrid tripod suction bucket foundations for offshore wind towers in sand
- DOI:
10.1016/j.apor.2019.05.018 - 发表时间:
2019-08-01 - 期刊:
- 影响因子:
- 作者:
Koohyar Faizi;Asaad Faramarzi;Samir Dirar;David Chapman - 通讯作者:
David Chapman
Physics-guided neural network for predicting international roughness index on flexible pavements considering accuracy, uncertainty and stability
考虑精度、不确定性和稳定性的用于预测柔性路面国际粗糙度指数的物理引导神经网络
- DOI:
10.1016/j.engappai.2024.109922 - 发表时间:
2025-02-15 - 期刊:
- 影响因子:8.000
- 作者:
Kun Chen;Mehran Eskandari Torbaghan;Nick Thom;Asaad Faramarzi - 通讯作者:
Asaad Faramarzi
Optimising Ground Penetrating Radar data interpretation: A hybrid approach with AI-assisted Kalman Filter and Wavelet Transform for detecting and locating buried utilities
- DOI:
10.1016/j.jappgeo.2024.105567 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:
- 作者:
Arasti Afrasiabi;Asaad Faramarzi;David Chapman;Alireza Keshavarzi - 通讯作者:
Alireza Keshavarzi
Trajectory of building and structural design automation from generative design towards the integration of deep generative models and optimization: A review
从生成式设计到深度生成模型与优化融合的建筑与结构设计自动化轨迹:综述
- DOI:
10.1016/j.jobe.2024.110972 - 发表时间:
2024-11-15 - 期刊:
- 影响因子:7.400
- 作者:
Soheila Kookalani;Erika Parn;Ioannis Brilakis;Samir Dirar;Marios Theofanous;Asaad Faramarzi;Mohammad Ali Mahdavipour;Qixian Feng - 通讯作者:
Qixian Feng
SAM4Tun: No-training model for tunnel lining point cloud component segmentation
SAM4Tun:用于隧道衬砌点云组件分割的无训练模型
- DOI:
10.1016/j.tust.2025.106401 - 发表时间:
2025-04-01 - 期刊:
- 影响因子:7.400
- 作者:
Zehao Ye;Wei Lin;Asaad Faramarzi;Xiongyao Xie;Jelena Ninić - 通讯作者:
Jelena Ninić
Asaad Faramarzi的其他文献
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{{ truncateString('Asaad Faramarzi', 18)}}的其他基金
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