Robustness of Steel Buildings Under Extreme Seismic Events: Study of Building Systems Collapse Through Multi-scale Computational Methods
极端地震事件下钢结构的稳健性:通过多尺度计算方法研究建筑系统倒塌
基本信息
- 批准号:0928547
- 负责人:
- 金额:$ 25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-01-01 至 2013-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Fundamental understanding of structural systems behavior under extreme earthquakes (EQs) is important for designing robust and resilient systems. Such extreme EQs can impose severe demands on structural systems and may result in components failure or complete building collapse. The research objective of this award is to mitigate socio-economic losses due to collapse of steel building systems when subjected to extreme earthquake events. This goal will be achieved through development of multi-scale computational simulation models that will provide a virtual platform for realistic simulation of collapse response of steel building systems. These models will incorporate micro-scale to structural scale physics including fracture, inelasticity, global and local buckling of structural members, and contact and impact between failed members. These novel physics-based multi-scale models will be used to characterize collapse behavior of building systems subjected to extreme seismic events including understanding of the characteristics of the seismic excitation that contribute to collapse vulnerability.The research results will be utilized to mitigate risk of collapse by developing fundamental knowledge of collapse behavior leading to development of robust and resilient building systems. Research results will also assist in determining key system features that are critical to the stability and functioning of the entire system, and in development of next generation of performance based design guidelines. Collaborations between researchers and end users will be fostered to provide guidance to the project and to spearhead technology transfer of the results, advancing the state-of-the-practice. A community education program will also be developed as a part of this project to increase the understanding of impacts and consequences of building systems collapse and to enable movement from short term community awareness to long term community resiliency. Educational component of this project aims to produce future generations of leaders in multidisciplinary sciences and engineering through involvement of undergraduates in research and through K-12 classroom activities.
对结构系统在极端地震(EQ)下的行为的基本理解对于设计鲁棒和弹性系统非常重要。这种极端的EQ可能会对结构系统提出严格的要求,并可能导致组件故障或建筑物完全倒塌。该奖项的研究目标是减轻钢结构建筑系统在极端地震事件下倒塌所造成的社会经济损失。这一目标将通过开发多尺度计算模拟模型来实现,该模型将为钢建筑系统的倒塌响应的真实模拟提供虚拟平台。这些模型将结合微观尺度的结构尺度的物理学,包括断裂,非弹性,结构构件的整体和局部屈曲,以及失败的成员之间的接触和影响。这些新的基于物理学的多尺度模型将用于描述建筑系统在极端地震事件下的倒塌行为,包括理解导致倒塌脆弱性的地震激励特性。研究结果将用于通过发展倒塌行为的基础知识来减轻倒塌风险,从而开发坚固和有弹性的建筑系统。研究结果还将有助于确定对整个系统的稳定性和功能至关重要的关键系统功能,并有助于开发下一代基于性能的设计指南。将促进研究人员和最终用户之间的合作,为项目提供指导,并带头进行成果的技术转让,推动实践的发展。作为本项目的一部分,还将制定社区教育计划,以增加对建筑系统倒塌的影响和后果的了解,并使短期社区意识能够转变为长期社区弹性。该项目的教育部分旨在通过本科生参与研究和通过K-12课堂活动培养未来几代多学科科学和工程领域的领导者。
项目成果
期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)
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Kapil Khandelwal其他文献
On the application of multipoint Root-Solvers for improving global convergence of fracture problems
- DOI:
10.1016/j.engfracmech.2018.02.031 - 发表时间:
2018-04-15 - 期刊:
- 影响因子:
- 作者:
Ravi Kiran;Kapil Khandelwal - 通讯作者:
Kapil Khandelwal
A computational framework for homogenization and multiscale stability analyses of nonlinear periodic materials
非线性周期材料均质化和多尺度稳定性分析的计算框架
- DOI:
10.1002/nme.6802 - 发表时间:
2020 - 期刊:
- 影响因子:2.9
- 作者:
Guodong Zhang;Nan Feng;Kapil Khandelwal - 通讯作者:
Kapil Khandelwal
Technoeconomic analysis of supercritical water gasification of canola straw for hydrogen production
- DOI:
10.1016/j.ijhydene.2024.11.088 - 发表时间:
2024-12-27 - 期刊:
- 影响因子:
- 作者:
Kapil Khandelwal;Castaneda S. German;Ajay K. Dalai - 通讯作者:
Ajay K. Dalai
Numerically approximated Cauchy integral (NACI) for implementation of constitutive models
用于实施本构模型的数值近似柯西积分 (NACI)
- DOI:
10.1016/j.finel.2014.05.016 - 发表时间:
2014 - 期刊:
- 影响因子:3.1
- 作者:
R. Kiran;Kapil Khandelwal - 通讯作者:
Kapil Khandelwal
Machine learning modeling of supercritical water gasification for predictive hydrogen production from waste biomass
用于预测废弃生物质产氢的超临界水气化的机器学习建模
- DOI:
10.1016/j.biombioe.2025.107816 - 发表时间:
2025-06-01 - 期刊:
- 影响因子:5.800
- 作者:
Kapil Khandelwal;Sonil Nanda;Ajay K. Dalai - 通讯作者:
Ajay K. Dalai
Kapil Khandelwal的其他文献
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{{ truncateString('Kapil Khandelwal', 18)}}的其他基金
Physics-Based, Nonlinear, Multi-scale, Topology Optimization Framework for Designing Additively Manufactured Energy Dissipating Structural Fuses for Steel Building Systems
基于物理的非线性多尺度拓扑优化框架,用于设计钢建筑系统增材制造的耗能结构熔断器
- 批准号:
1762277 - 财政年份:2018
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
CAREER: Multiscale Topology Optimization: Design of Structural-Material Systems Under Extreme Events
职业:多尺度拓扑优化:极端事件下的结构材料系统设计
- 批准号:
1055314 - 财政年份:2011
- 资助金额:
$ 25万 - 项目类别:
Standard Grant
相似国自然基金
电磁场辅助Cu-Pb/Steel复合材料生长取向调控及其断裂机制研究
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