Smart infrastructures and technologies for sustainable development of resilient megacities

随着全球人口的快速增长，城市中心正在演变为特大城市。超大城市由不同的基础设施(如建筑物、桥梁和生命线)组成，它们作为一个复杂的系统相互关联。特大城市容易受到不同危害的影响。1998-2017年间，全球自然灾害造成的直接经济损失总计约2.9万亿美元[1]。NSERC DG旨在通过将申请者在地震危险下的个别基础设施的专业知识扩展到多危险负载条件下的区域级别来继续提高特大城市的复原力。提出的研究将集中在以下几个方面的研究工作：了解基础设施在多危险荷载条件下的行为，基础设施在多危险荷载条件下的行为是复杂的。研究将集中于开发先进的多危险加载数值模拟和实验测试平台。具体地说，开发的平台将能够预测基础设施在火灾和地震危险下的反应。在大城市尺度上评估基础设施的状况基础设施评估对于提高特大城市的复原力至关重要。由于任务的复杂性和所需资源的巨大数量，目前的基础设施评估方法不能扩展到区域一级。这项研究将创建一个自主的人工智能评估平台，以评估大城市规模的基础设施状况。提高新的和现有基础设施的性能性能有许多高性能的结构系统和改造方案被开发来提高基础设施的性能。然而，这些系统通常是针对单一危险(火灾、风、爆炸和地震)而设计的。对于多危险加载条件下的结构系统和改造方案的设计没有系统的程序。这项研究将集中于开发一种新的设计方法，以考虑多危险加载条件。这项研究还将通过制定坚固的改装计划和高性能系统来提高新的和现有基础设施的性能。本次NSERC DG的成果将对结构工程领域产生重大影响。拟议的研究将允许在多种危险负载条件下对基础设施进行评估。这将创建新的结构系统和翻新计划，提高个别基础设施的弹性。此外，开发的自主人工智能评估平台将允许在区域范围内进行基础设施评估。这将极大地改变基础设施检查行业，低效的人工检查将被取代。这个NSERC DG将确保基础设施免受多种危险，从而使加拿大和全球特大城市的可持续发展成为可能。

With rapid population growth worldwide, urban centers are evolving into megacities. Megacities comprise of different infrastructures (e.g., buildings, bridges and lifelines) which are interlocked as a complex system. Megacities are vulnerable to different hazards. Between 1998-2017, direct economic losses summed approximately USD 2.9 trillion due to natural disasters worldwide [1]. This NSERC DG aims to continue improving the resiliency of megacities by expanding on the applicant's expertise of individual infrastructures under earthquake hazard towards regional level scale under multi-hazard loading conditions. The proposed research will focus on the following research tasks: Understanding the infrastructure behavior under multi-hazard loading conditions The behavior of infrastructures under multi-hazard loading conditions is complex. The research will focus on developing advanced numerical simulation and experimental testing platform for multi-hazard loading. Specifically, the developed platform will be able to predict the infrastructure response under fire and earthquake hazards. Evaluating the condition of the infrastructures on a megacity scale Infrastructure assessment is crucial for enhancing resiliency of a megacity. Current infrastructure assessment methods cannot be scaled to a regional level due to the complexity of the task and the sheer amount of resources required. This research will create an autonomous AI assessment platform to evaluate infrastructure conditions on a megacity scale. Improving the performance of the new and existing infrastructure performance There are many high-performance structural systems and retrofit schemes developed to improve infrastructure performance. However, these systems are usually designed for single hazards (Fire, Wind, Blast and Earthquake). There is no systematic procedure of designing structural systems and retrofit schemes for multi-hazard loading conditions. This research will focus on developing a novel design methodology to account for multi-hazard loading conditions. The research will also improve the performance of new and existing infrastructures by developing robust retrofit schemes and high-performance systems. The outcomes of this NSERC DG will significantly impact the field of structural engineering. The proposed research will allow infrastructures to be assessed under multi-hazard loading conditions. This will create novel structural systems and retrofit schemes which will improve the resiliency of individual infrastructures. Moreover, the developed autonomous AI assessment platform will allow infrastructure assessment in a regional scale. This will significantly change the infrastructure inspection industry where inefficient human inspection will be replaced. This NSERC DG will ensure that the infrastructures are protected from multi hazards, hence, enabling the sustainable growth of megacities in Canada and worldwide.