Digital twin approach for enhancing urban resilience: A cycle between virtual space and the real world

Yixing Wang , Qingrui Yue , Xinzheng Lu , Donglian Gu , Zhen Xu , Yuan Tian , Shen Zhang
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Abstract

Construction of disaster-resilient cities has attracted considerable attention. However, traditional methods of studying urban disaster resilience through experimental approaches are often constrained by various limitations, such as testing sites, costs and ethical considerations. To address these constraints, this paper proposes incorporating digital twin concepts into urban disaster resilience research. By establishing a connection between the physical realm of the city and its virtual counterpart, this approach utilizes digital simulations to overcome the limitations of experimental methods and enables dynamic deduction and control of the disaster process. This paper delves into three key aspects encompassing the acquisition of data from reality to the virtual space, disaster simulation within the virtual space, and translation of virtual insights into effective disaster prevention strategies in reality. It provides a comprehensive summary of relevant research endeavors from the authors’ research group and showcases the effectiveness and potential of the proposed techniques. These findings serve as references for pre-disaster planning, real-time emergency assessments, post-disaster rescue operations, and accident investigations for buildings and cities.

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增强城市复原力的数字孪生方法:虚拟空间与现实世界之间的循环
建设具有抗灾能力的城市已引起广泛关注。然而,通过实验方法研究城市抗灾能力的传统方法往往受到各种限制,如试验场地、成本和伦理考虑等。为了解决这些限制,本文建议将数字孪生概念纳入城市抗灾能力研究。通过建立城市物理领域与虚拟领域之间的联系,这种方法利用数字模拟克服了实验方法的局限性,实现了对灾害过程的动态推演和控制。本文从三个关键方面进行了深入探讨,包括从现实到虚拟空间的数据采集、虚拟空间内的灾害模拟以及将虚拟见解转化为现实中有效的防灾策略。文章全面总结了作者研究小组的相关研究工作,并展示了所建议技术的有效性和潜力。这些研究成果可为建筑物和城市的灾前规划、实时应急评估、灾后救援行动以及事故调查提供参考。
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