Towards Robust Long-Term Infrastructure Asset Management under Deep Uncertainty
在高度不确定性下实现稳健的长期基础设施资产管理
基本信息
- 批准号:RGPIN-2022-04591
- 负责人:
- 金额:$ 2.62万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2022
- 资助国家:加拿大
- 起止时间:2022-01-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The threats of climate change are real, but the current infrastructure adaptation plans are unsettling. Although regulations on infrastructure asset management (IAM) have been introduced to several jurisdictions in Canada, current IAM practice has been impeded by a number of factors including the lack of a consistent long-term planning framework and effective optimization tools under deep uncertainty. Meanwhile, advancements in artificial intelligence are presenting huge opportunities and potentials that may change the future practice of infrastructure asset management. With a long-term objective aiming to develop an integrated asset management and climate adaptation planning methodology for sustainable and resilient infrastructure systems, the proposed research program for the next five years wants to address three fundamental issues related to the development of such an integrated planning methodology. The three issues to be addressed include: 1) risk-based robustness assessment of ageing bridges and road networks under climate change threats; 2) decision makers' risk perception and time preference of long-term investment on climate adaptations; and 3) Robustness-oriented optimal asset management and climate adaptation planning under deep uncertainty. While the second issue is an important empirical question that would affect the proper level of investment and community engagement in IAM, the other two issues are of method development. For the robustness assessment, a novel risk-based robustness index that was recently developed by the applicant's research team will be used. Further enhancements include empirical damage-loss relationships for bridges and road networks; efficient surrogate modelling method using deep learning; and robustness-based technique for identifying critical components. An in-person survey method will be used to probe asset management decision makers' risk perception and time preference of long-term investment on climate adaptations. Surveys will be conducted on major asset management conferences in Canada that corporate asset managers and municipal councillors usually attend. Cumulative prospective theory-based risk attitude model and different discounting models will be used to fit the empirical data. The best fitted models will be used for the last step. For the robustness-oriented optimization, deep reinforcement learning methods will be developed to create a dynamic, flexible, long-term investment plan for both climate adaptation activities and conventional maintenance and rehabilitation treatments. To achieve these objectives, the research program is broken down to six interrelated projects. The proposed program will provide professional asset managers with a better tool for integrated long-term planning of asset management and climate adaptation. The proposal also includes a realistic HQP training program that is interwoven under the principle of equity, diversity and inclusion.
气候变化的威胁是真实存在的,但目前的基础设施适应计划令人不安。尽管加拿大的几个司法管辖区已经引入了基础设施资产管理(IAM)法规,但目前的IAM实践受到许多因素的阻碍,包括缺乏一致的长期规划框架和深度不确定性下的有效优化工具。与此同时,人工智能的进步带来了巨大的机遇和潜力,可能会改变未来基础设施资产管理的实践。长期目标是为可持续和弹性基础设施系统开发一种综合资产管理和气候适应规划方法,未来五年的拟议研究计划希望解决与开发这种综合规划方法相关的三个基本问题。需要解决的三个问题包括:1)气候变化威胁下老化桥梁和道路网络的基于风险的稳健性评估;2)决策者对气候适应长期投资的风险感知和时间偏好;3)深度不确定性下面向鲁棒性的最优资产管理和气候适应规划。虽然第二个问题是一个重要的经验问题,它将影响IAM中适当的投资水平和社区参与,但其他两个问题是方法开发问题。对于稳健性评估,将使用申请人研究团队最近开发的基于风险的新型稳健性指数。进一步的改进包括桥梁和道路网络的经验损害损失关系;基于深度学习的高效代理建模方法以及用于识别关键组件的基于鲁棒性的技术。采用面对面调查的方法,探讨资产管理决策者对气候适应长期投资的风险感知和时间偏好。将对企业资产经理和市议员经常参加的加拿大主要资产管理会议进行调查。基于累积前瞻性理论的风险态度模型和不同的贴现模型将用于拟合实证数据。最后一步将使用最适合的模型。对于面向鲁棒性的优化,将开发深度强化学习方法,为气候适应活动和常规维护和康复治疗创建动态、灵活、长期的投资计划。为了实现这些目标,研究计划被分解为六个相互关联的项目。拟议方案将为专业资产管理公司提供更好的工具,对资产管理和气候适应进行综合长期规划。该提案还包括一个现实的HQP培训计划,该计划在公平、多样性和包容性的原则下相互交织。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Yuan, Xianxun(Arnold)其他文献
Yuan, Xianxun(Arnold)的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Yuan, Xianxun(Arnold)', 18)}}的其他基金
Probabilistic Life-Cycle Costing: Beyond the Great Expectation
概率生命周期成本计算:超出远大期望
- 批准号:
RGPIN-2016-06280 - 财政年份:2021
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
Probabilistic Life-Cycle Costing: Beyond the Great Expectation
概率生命周期成本计算:超出远大期望
- 批准号:
RGPIN-2016-06280 - 财政年份:2020
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
Probabilistic Life-Cycle Costing: Beyond the Great Expectation
概率生命周期成本计算:超出远大期望
- 批准号:
RGPIN-2016-06280 - 财政年份:2019
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
Probabilistic Life-Cycle Costing: Beyond the Great Expectation
概率生命周期成本计算:超出远大期望
- 批准号:
RGPIN-2016-06280 - 财政年份:2018
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
Probabilistic Life-Cycle Costing: Beyond the Great Expectation
概率生命周期成本计算:超出远大期望
- 批准号:
RGPIN-2016-06280 - 财政年份:2017
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
Probabilistic Life-Cycle Costing: Beyond the Great Expectation
概率生命周期成本计算:超出远大期望
- 批准号:
RGPIN-2016-06280 - 财政年份:2016
- 资助金额:
$ 2.62万 - 项目类别:
Discovery Grants Program - Individual
相似国自然基金
供应链管理中的稳健型(Robust)策略分析和稳健型优化(Robust Optimization )方法研究
- 批准号:70601028
- 批准年份:2006
- 资助金额:7.0 万元
- 项目类别:青年科学基金项目
心理紧张和应力影响下Robust语音识别方法研究
- 批准号:60085001
- 批准年份:2000
- 资助金额:14.0 万元
- 项目类别:专项基金项目
ROBUST语音识别方法的研究
- 批准号:69075008
- 批准年份:1990
- 资助金额:3.5 万元
- 项目类别:面上项目
改进型ROBUST序贯检测技术
- 批准号:68671030
- 批准年份:1986
- 资助金额:2.0 万元
- 项目类别:面上项目
相似海外基金
An electrophysiology platform that enables robust, scalable and long-term intracellular recording of cardiomyocytes
一个电生理学平台,能够对心肌细胞进行稳健、可扩展和长期的细胞内记录
- 批准号:
10500961 - 财政年份:2022
- 资助金额:
$ 2.62万 - 项目类别:
Electronic Medical Records Ecosystem Cloud Transition Investigation, Planning, and Development for Robust, Scalable and Secure Long-Term Support
电子病历生态系统云转型调查、规划和开发,以提供强大、可扩展和安全的长期支持
- 批准号:
555774-2020 - 财政年份:2022
- 资助金额:
$ 2.62万 - 项目类别:
Applied Research and Development Grants - Level 3
An electrophysiology platform that enables robust, scalable and long-term intracellular recording of cardiomyocytes
一个电生理学平台,能够对心肌细胞进行稳健、可扩展和长期的细胞内记录
- 批准号:
10641918 - 财政年份:2022
- 资助金额:
$ 2.62万 - 项目类别:
Electronic Medical Records Ecosystem Cloud Transition Investigation, Planning, and Development for Robust, Scalable and Secure Long-Term Support
电子病历生态系统云转型调查、规划和开发,以提供强大、可扩展和安全的长期支持
- 批准号:
555774-2020 - 财政年份:2021
- 资助金额:
$ 2.62万 - 项目类别:
Applied Research and Development Grants - Level 3
CAREER: Robust Perception and Customization for Long-Term Autonomous Mobile Service Robots
职业:长期自主移动服务机器人的鲁棒感知和定制
- 批准号:
2046955 - 财政年份:2021
- 资助金额:
$ 2.62万 - 项目类别:
Standard Grant
Controllable 2- and 3D Assembly of Mechanically Robust Skin Tissue Via Long Term Expression of DNA on Cell Membranes
通过细胞膜上 DNA 的长期表达实现机械鲁棒性皮肤组织的可控 2 和 3D 组装
- 批准号:
10328551 - 财政年份:2021
- 资助金额:
$ 2.62万 - 项目类别:
Devising robust Multi-Armed Bandit algorithms in the presence of non-stationarities and long-range dependencies
在存在非平稳性和远程依赖性的情况下设计稳健的 Multi-Armed Bandit 算法
- 批准号:
2437073 - 财政年份:2020
- 资助金额:
$ 2.62万 - 项目类别:
Studentship
Electronic Medical Records Ecosystem Cloud Transition Investigation, Planning, and Development for Robust, Scalable and Secure Long-Term Support
电子病历生态系统云转型调查、规划和开发,以提供强大、可扩展和安全的长期支持
- 批准号:
555774-2020 - 财政年份:2020
- 资助金额:
$ 2.62万 - 项目类别:
Applied Research and Development Grants - Level 3
Robust high-fidelity entangling gates using long-wavelength radiation for quantum computation
使用长波长辐射进行量子计算的鲁棒高保真纠缠门
- 批准号:
2407122 - 财政年份:2020
- 资助金额:
$ 2.62万 - 项目类别:
Studentship
S&AS: FND: Long-Term Planning and Robust Plan Execution for Multi-Robot Systems
S
- 批准号:
1724392 - 财政年份:2017
- 资助金额:
$ 2.62万 - 项目类别:
Standard Grant