Smart infrastructures and technologies for sustainable development of resilient megacities

随着全球人口的快速增长，城市中心正在演变成特大城市。特大城市由不同的基础设施（如建筑物、桥梁和生命线）组成，这些基础设施作为一个复杂的系统环环相扣。大城市容易受到不同的危害。1998年至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。该NSERC DG旨在通过将申请人在地震灾害下的单个基础设施的专业知识扩展到多灾害载荷条件下的区域水平，继续提高特大城市的弹性。本文拟开展的研究主要集中在以下几个方面：了解基础设施在多灾害荷载条件下的行为。研究重点是开发先进的多灾种载荷数值模拟与实验测试平台。具体来说，开发的平台将能够预测基础设施在火灾和地震灾害下的反应。特大城市基础设施状况评估是提高特大城市韧性的关键。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。通过此次研究，可以开发出对超大城市基础设施状况进行评价的自主AI评价平台。为了提高基础设施的性能，开发了许多高性能的结构系统和改造方案。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。对于多危险荷载条件下的结构体系设计和改造方案，目前尚无系统的程序。这项研究将集中于开发一种新的设计方法来考虑多危险载荷条件。该研究还将通过开发强大的改造方案和高性能系统来改善新的和现有基础设施的性能。NSERC DG的结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载荷条件下评估基础设施。这将创造新的结构系统和改造方案，从而提高单个基础设施的弹性。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。这将给基础设施检查行业带来巨大的变化，将取代效率低下的人工检查。NSERC DG将确保基础设施免受多种危害，从而实现加拿大和全球特大城市的可持续发展。

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.