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

基本信息

  • 批准号:
    1055314
  • 负责人:
  • 金额:
    $ 40万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2011
  • 资助国家:
    美国
  • 起止时间:
    2011-06-01 至 2017-05-31
  • 项目状态:
    已结题

项目摘要

The objective of this Faculty Early Career Development (CAREER) Program award is to mitigate the effect of extreme events, such as earthquake, progressive collapse, and blast/impact, on structural systems. To this end, the project will create optimal structural-material designs for withstanding extreme events using novel multi-scale topology optimization methods. Specific research activities include: (1) Developing multi-scale constitutive models for simulation of energy dissipation in structural steels; (2) Experimentally investigating energy dissipation in steels through damage evolution and localization; (3) Establishing topology optimization formulations and algorithms for optimal design of nonlinear dissipative systems; (4) Performance based seismic and progressive collapse designing of steel building systems with optimal energy dissipating elements; (5) Designing and validating novel cladding systems for blast-impact mitigation using topology optimization. Through these integrated activities engineering products and technologies will be developed that can be effectively used for mitigating the effect of extreme events on structural systems.The project will provide the structural engineering community with tools and technology necessary for hazard mitigation from the extreme events. The project results will also be utilized for developing the next generation of performance based building design codes. The research methods will be integrated into the mainstream undergraduate and graduate education at the University of Notre Dame through classroom teaching and Research Experiences for Undergraduates program. The project outreach program focuses on training and education of the Native American students through K-12 classroom activities to encourage them to pursue careers in science and engineering. High school teachers from the Standing Rock Sioux Indian reservation in the North and South Dakota will be trained to use simple structural simulation tools, and teaching modules will be developed to introduce the topic of structural engineering to the high school Native American students. To reach wider Native American community, the research results and teaching modules will also be disseminated through the Sitting Bull College library on the reservation. The workforce impact of the project will include two Ph.D. students, and several undergraduate and high school students.
这个教师早期职业发展(CAREER)计划奖的目的是减轻极端事件的影响,如地震,连续倒塌和爆炸/冲击,对结构系统。为此,该项目将使用新颖的多尺度拓扑优化方法创建最佳结构材料设计,以抵御极端事件。具体研究工作包括:(1)建立多尺度本构模型,模拟结构钢的能量耗散;(2)通过损伤演化和局部化实验研究钢的能量耗散;(3)建立非线性耗散系统的拓扑优化公式和算法;(4)建立非线性耗散系统的拓扑优化模型和算法。(4)基于性能的抗震和连续倒塌钢结构建筑系统的设计与最佳的能量耗散元件;(5)设计和验证新的包层系统的爆炸冲击缓解使用拓扑优化。通过这些综合活动,将开发可有效用于减轻极端事件对结构系统影响的工程产品和技术。该项目将为结构工程界提供减轻极端事件危害所需的工具和技术。项目成果还将用于开发下一代基于性能的建筑设计规范。研究方法将通过课堂教学和本科生研究经验计划融入圣母大学的主流本科和研究生教育。该项目推广计划的重点是通过K-12课堂活动培训和教育美洲原住民学生,鼓励他们追求科学和工程事业。来自北达科他州和南达科他州Standing Rock Sioux印第安人保留地的高中教师将接受使用简单结构模拟工具的培训,并将开发教学模块,向高中美洲原住民学生介绍结构工程的主题。为了接触到更广泛的美洲原住民社区,研究成果和教学模块也将通过保留地上的Sitting Bull学院图书馆传播。该项目的劳动力影响将包括两个博士。学生,以及一些本科生和高中生。

项目成果

期刊论文数量(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
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)
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:
    $ 40万
  • 项目类别:
    Standard Grant
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
  • 批准号:
    0928547
  • 财政年份:
    2010
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant

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