Exploiting the resilience of masonry arch bridge infrastructure: a 3D multi-level modelling framework

充分利用砖石拱桥基础设施的弹性：3D 多层建模框架

• 批准号: EP/T001305/1
• 负责人: Matthew Gilbert
• 金额: $ 74.76万
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FT001305%2F1
• 关键词: Exploiting; resilience; masonry; arch; bridge

Masonry arch bridges still form the backbone of the UK's transport infrastructure; approaching 50% of bridge spans on the UK rail and regional highway networks are masonry. However, a number of prominent failures suggest we may be at a tipping point - brought about by a perfect storm of the increasing age of the structures, new traffic loading demands, climate change effects pushing structures to new limits and severely restricted maintenance budgets. To respond to the challenging times ahead there is a need to develop a much greater understanding of how real bridges behave, moving beyond traditional 2D idealisations and identifying the extent to which bridges are capable of 'autogenously healing' under cycling loading. This is important as, currently, bridge engineers faced with a damaged bridge simply do not have the tools needed to make informed assessment decisions, and may needlessly strengthen or demolish a structure even if it could, in reality, be repaired at comparatively modest cost. The goal is to provide those responsible for the management of bridges with a powerful suite of analysis modelling tools and a robust overarching multi-level framework capable of being applied to the diverse population of masonry arch bridges in-service today (i.e. undamaged, damaged and repaired). To achieve this a team of experienced researchers with complementary expertise has been assembled. Medium and large-scale experimental tests will be used to develop and validate analysis tools of different levels of sophistication, with high-level, high-fidelity models, capable of simulating the actual masonry bond and material response, used to calibrate novel intermediate-level and lower-level tools suitable for rapid practical assessment.

斜拱桥仍然是英国交通基础设施的支柱;英国铁路和区域公路网络上近50%的桥梁跨度是砖石结构。然而，一些突出的失败表明，我们可能处于一个临界点-由结构年龄增加，新的交通负荷需求，气候变化影响推动结构达到新的极限和严重限制的维护预算带来的完美风暴。为了应对未来充满挑战的时代，需要更深入地了解真实的桥梁的行为，超越传统的2D理想化，并确定桥梁在循环荷载下能够“自我修复”的程度。这一点很重要，因为目前，桥梁工程师面对受损桥梁时根本没有做出明智评估决策所需的工具，并且可能不必要地加固或拆除结构，即使实际上可以以相对较低的成本进行修复。我们的目标是为那些负责桥梁管理的人提供一套强大的分析建模工具和一个强大的总体多层次框架，能够应用于当今服役的各种圬工拱桥（即未损坏，损坏和修复）。为了实现这一目标，组建了一个由经验丰富的研究人员组成的团队，他们具有互补的专业知识。中型和大型实验测试将用于开发和验证不同复杂程度的分析工具，具有高水平，高保真度的模型，能够模拟实际的砌体粘结和材料反应，用于校准适合快速实际评估的新型中级和低级工具。

项目成果

A Python script for discontinuity layout optimization

• DOI: 10.1007/s00158-023-03583-z
• 发表时间: 2023-06
• 期刊: Structural and Multidisciplinary Optimization
• 影响因子: 3.9
• 作者: Linwei He;M. Schiantella;M. Gilbert;Colin C. Smith

Employing non-contact sensing techniques for improving efficiency and automation in numerical modelling of existing masonry structures: A critical literature review

• DOI: 10.1016/j.istruc.2021.03.111
• 发表时间: 2021-08
• 期刊: Structures
• 影响因子: 4.1
• 作者: N. Kassotakis;V. Sarhosis

Discontinuous approaches for nonlinear dynamic analyses of an ancient masonry tower

古代砖石塔非线性动力分析的不连续方法

• DOI: 10.1016/j.engstruct.2020.111626
• 发表时间: 2021
• 期刊: Engineering Structures
• 影响因子: 5.5
• 作者: Ferrante A

Life-Cycle of Structures and Infrastructure Systems - PROCEEDINGS OF THE EIGHTH INTERNATIONAL SYMPOSIUM ON LIFE-CYCLE CIVIL ENGINEERING (IALCCE 2023), 2-6 JULY, 2023, POLITECNICO DI MILANO, MILAN, ITALY

结构和基础设施系统的生命周期 - 第八届生命周期土木工程国际研讨会 (IALCCE 2023) 论文集，2023 年 7 月 2-6 日，米兰理工大学，意大利米兰

• DOI: 10.1201/9781003323020-167
• 发表时间: 2023
• 作者: Amodio S

Shakedown and dynamic behaviour of masonry arch railway bridges

砌体拱铁路桥的安定与动力性能

• DOI: 10.1016/j.engstruct.2020.111474
• 发表时间: 2021
• 期刊: Engineering Structures
• 影响因子: 5.5
• 作者: Forgács T