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Optimization and Application of Next Generation Steels in Construction

Optimization and Application of Next Generation Steels in Construction
下一代建筑钢材的优化与应用
批准号:
1760953
负责人:
Benjamin Schafer
金额:
$40.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-08-15 至 2022-07-31

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中文摘要
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英文摘要
This research aims to advance knowledge leading to buildings with sustainability and structural resilience, while maintaining economic efficiency and the competitiveness of domestic steel production, by advancing the application of next-generation steels into building construction. A large class of new, high-performance steels has been developed for automotive applications to great success, but various technical challenges must be overcome before these steels can be widely integrated into building construction. A potential application is cold-formed steel studs and joists in buildings that employ sheet steels with thicknesses similar to next generation automotive steels. The possible benefits of using these next-generation steels include more efficient material use and construction, and lower initial and life-cycle costs. These steels also offer the potential for structural engineers and architects to create novel solutions in design and construction. The objective of this research is to overcome the barriers in the application of next generation steels to cold-formed steel building construction and begin the optimization of the uses of these steels in this building system. Optimization and application of the use of next generation steels in cold-formed steel framing requires overcoming scientific barriers: generalized strength prediction of these uniquely strong but slender members is needed for engineering design, a deeper understanding of the material ductility that structural applications require is needed so that the new steels can be tailored to their demands at minimum cost, optimized shapes specific to construction applications are needed for efficiency, and prototyped solutions are needed to provide experimental evidence of superior performance. A series of targeted experiments at the material, connection, and member scale will be studied along with computational nonlinear collapse simulations and shape optimization to address the barriers to the adoption of next generation steel in construction.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(2)
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科研奖励(0)
会议论文
DOI: 10.1061/(asce)st.1943-541x.0002847
发表时间: 2020
期刊: Journal of Structural Engineering
影响因子: 4.1
作者: [Ding, Chu, Torabian, Shahabeddin, Schafer, Benjamin W.]
通讯作者: Schafer, Benjamin W.
DOI: 10.1016/j.jcsr.2021.106687
发表时间: 2021-07
期刊: Journal of Constructional Steel Research
影响因子: 4.1
作者: [Yu Xia;C. Ding;Zhanjie Li;B. Schafer;H. Blum]
通讯作者: Yu Xia;C. Ding;Zhanjie Li;B. Schafer;H. Blum
GOALI/Collaborative Research: Optimization of Infrastructure-Scale Thin-Walled Tube Towers including Uncertainty
  • 批准号:
    1912481
  • 项目类别:
    Standard Grant
  • 资助金额:
    $44.9万
  • 财政年份:
    2019
  • 负责人:
    Benjamin Schafer
  • 依托单位:
Collaborative Research: Seismic Resiliency of Repetitively Framed Mid-Rise Cold-Formed Steel Buildings
  • 批准号:
    1663348
  • 项目类别:
    Standard Grant
  • 资助金额:
    $34.0万
  • 财政年份:
    2017
  • 负责人:
    Benjamin Schafer
  • 依托单位:
Collaborative Research: Transforming Building Structural Resilience through Innovation in Steel Diaphragms
  • 批准号:
    1562821
  • 项目类别:
    Standard Grant
  • 资助金额:
    $18.0万
  • 财政年份:
    2016
  • 负责人:
    Benjamin Schafer
  • 依托单位:
GOALI/Collaborative Research: Enabling Advanced Wind Turbine Tower Manufacturing with Reliability-Based Design
  • 批准号:
    1334489
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.99万
  • 财政年份:
    2013
  • 负责人:
    Benjamin Schafer
  • 依托单位:
国内基金
海外基金
Graphon mean field games with partial observation and application to failure detection in distributed systems
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    MATHIEULOUROCHLAURIERE
  • 依托单位: