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Review of the energy-based design theory: Towards the application to self-centering systems 基于能量的设计理论综述:面向自定心系统的应用
Pub Date : 2022-03-01 DOI: 10.1016/j.rcns.2022.04.002
Ge Song , Ying Zhou , T.Y. Yang

Self-centering systems exhibit superior performance during earthquake shaking with lower damage and less residual deformations. Although the equivalent static force design procedure is the commonly used one for most structural systems for seismic applications, the cumulative damage and the effective duration of earthquakes cannot be explicitly considered, which has significantly affected the behaviors and post-earthquake performance of self-centering systems. Energy-based design theory (EBDT), which introduces the energy demand as the critical parameter to establish relations with structural damage, has gained attention around the world in recent decades. The EBDT can provide comprehensive considerations for structural responses and damage in design procedures, especially for self-centering systems. However, few researches and actual energy design projects focus on the use of EBDT for self-centering systems. This paper intends to present thorough review of several critical issues in EBDT. Meanwhile, pivotal gaps that need to be further investigated towards the application of EBDT to self-centering systems are identified and discussed in the paper.

自定心系统具有较好的抗震性能,损伤小,残余变形少。虽然等效静力设计是大多数结构体系在地震作用下常用的设计方法,但由于不能明确地考虑累积损伤和地震有效持续时间,这对自定心体系的行为和震后性能产生了重大影响。近几十年来,能源设计理论(EBDT)受到了世界各国的广泛关注,该理论将能源需求作为与结构损伤建立关系的关键参数。EBDT可以在设计过程中全面考虑结构响应和损伤,特别是对自定心系统。然而,很少有研究和实际的能源设计项目关注EBDT在自定心系统中的应用。本文旨在对EBDT中的几个关键问题进行全面的回顾。同时,本文还指出了EBDT在自定心系统中的应用还需要进一步研究的关键问题。
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引用次数: 7
A Demand-Supply Framework for Evaluating the Effect of Resource and Service Constraints on Community Disaster Resilience 评估资源和服务约束对社区抗灾能力影响的需求-供给框架
Pub Date : 2022-02-03 DOI: 10.31219/osf.io/uqtzn
N. Blagojević, B. Stojadinović
Tools that quantify community disaster resilience are essential for informed decision-making on community disaster resilience improvement measures. One of the major research gaps in quantifying community disaster resilience are community disaster recovery simulations. Such simulations enable an insight into factors that enable a rapid and efficient community disaster recovery and vice versa. The iRe-CoDeS framework presented in this paper, simulates community disaster recovery as a time-stepping loop, where at each time step the interplay of demand and supply of community components for various resources and services dictates components’ ability to operate and recover. Disaster resilience of a community is then quantified using a multi-dimensional metric, where each dimension represents the unmet demand of a community regarding a certain resource or a service, labelled as Lack of Resilience (LoR). This paper presents how such a demand/supply approach can be applied to account for resource and service constraints, impeding factors, that prolong component recovery and thus decrease community disaster resilience. Housing resilience of north-east San Francisco exposed to a Mw7.2 earthquake on the San Andreas Fault is quantified to illustrate the proposed approach. rWhale application framework recently developed at the NHERI SimCenter is used for this purpose, presenting how such a regional simulation on the effect of natural disasters on communities can be extended using the iRe-CoDeS framework to simulate community disaster recovery and quantify community disaster resilience. It is shown that housing resilience quantification results obtained in the Case Study focused on a part of San Francisco are in accordance with the existing estimates of housing resilience. The evolution of the post-disaster community-level supply and demand for recovery resources and services is obtained, identifying how and when the unmet demand for these resources and services impedes community recovery. Lastly, the effect of community’s ability to mobilize resources and services needed for its recovery on its disaster resilience is investigated.
量化社区抗灾能力的工具对于社区抗灾能力改进措施的知情决策至关重要。社区灾害恢复模拟是量化社区灾害恢复能力的主要研究空白之一。这种模拟使我们能够深入了解能够实现快速和有效的社区灾难恢复的因素,反之亦然。本文中提出的iRe-CoDeS框架将社区灾难恢复模拟为一个时间步进循环,其中在每个时间步进,各种资源和服务的社区组件的需求和供应的相互作用决定了组件的操作和恢复能力。然后使用多维度量来量化社区的灾难恢复能力,其中每个维度表示社区对特定资源或服务的未满足需求,标记为缺乏恢复能力(LoR)。本文介绍了如何应用这种需求/供应方法来解释资源和服务限制,阻碍因素,延长组件恢复,从而降低社区抗灾能力。在圣安德烈亚斯断层上,旧金山东北部遭受Mw7.2级地震的房屋弹性被量化,以说明所提出的方法。NHERI SimCenter最近开发的rWhale应用程序框架用于此目的,展示了如何使用iRe-CoDeS框架扩展自然灾害对社区影响的区域模拟,以模拟社区灾难恢复并量化社区灾难恢复能力。结果表明,以旧金山部分地区为研究对象的案例研究得出的住房弹性量化结果与现有的住房弹性估计值一致。获得灾后社区对恢复资源和服务的供需演变,确定这些资源和服务的未满足需求如何以及何时阻碍社区恢复。最后,研究了社区动员恢复所需资源和服务的能力对其抗灾能力的影响。
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引用次数: 12
Urban Resilience and Post-Disaster Reconstruction. Evidences from Mexico and France 城市韧性与灾后重建。来自墨西哥和法国的证据
Pub Date : 2018-08-03 DOI: 10.1007/978-3-319-76944-8_14
Aleyda Reséndiz-Vázquez
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引用次数: 1
Planning Recovery and Reconstruction After the 2010 Maule Earthquake and Tsunami in Chile 2010年智利Maule地震和海啸后的恢复和重建规划
Pub Date : 2018-08-03 DOI: 10.1007/978-3-319-76944-8_16
S. Platt
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引用次数: 4
Improving Resilience through Cross-Scale Knowledge Sharing 通过跨规模知识共享提高弹性
Pub Date : 2018-08-03 DOI: 10.1007/978-3-319-76944-8_7
Elena Pede
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引用次数: 1
Adaptive Governance for Resilience of Peri-Urban Socioecological Systems 城市周边社会生态系统弹性的适应性治理
Pub Date : 2018-08-03 DOI: 10.1007/978-3-319-76944-8_4
P. Torres-Lima, S. Pinel, Kristen Conway-Gómez
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引用次数: 4
The Challenge of Urban Resilience: Operationalization 城市韧性的挑战:操作化
Pub Date : 2018-08-03 DOI: 10.1007/978-3-319-76944-8_1
Ombretta Caldarice, Grazia Brunetta, N. Tollin
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引用次数: 11
Operational Mitigation – Transient Housing: The Case of Jammu, India 操作缓解-临时住房:以印度查谟为例
Pub Date : 2018-08-03 DOI: 10.1007/978-3-319-76944-8_15
Faiz Ahmed Chundeli, L. Visakha
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引用次数: 0
Sustainable Urban Expansion to Make Climate-Resilient Cities: The 21st Century Challenge 可持续城市扩张建设气候适应型城市:21世纪的挑战
Pub Date : 2018-08-03 DOI: 10.1007/978-3-319-76944-8_6
Lurdes Barrico, P. Castro
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引用次数: 0
Urban Resilience and Landslide Risk Management: The Case of Santos (Brazil) 城市韧性与滑坡风险管理:以巴西桑托斯为例
Pub Date : 2018-08-03 DOI: 10.1007/978-3-319-76944-8_12
K. Ferreira, A. Abiko
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引用次数: 2
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