MRI: Acquisition of an X-Ray Micro-Computed Tomography System for Evaluating Crack Evolution and Failure Characterization of Engineering Materials

MRI:获取 X 射线微计算机断层扫描系统,用于评估工程材料的裂纹演化和失效特征

基本信息

项目摘要

The objective of this Major Research Instrumentation (MRI) is to develop the acquisition of a high-energy and high-resolution X-ray tomography system for the nondestructive microstructural evaluation of crack propagation and failure of engineering materials at the University of Michigan, Dearborn (UM-D). The requested system will form a fundamental infrastructure to support ongoing multidisciplinary manufacturing-related research activities, including accurate measurement of crack initiation and propagation, quality inspection or damage assessment of engineering structures, failure mechanisms related to crack growth, continuum damage mechanisms related to micro and mesoscale damage evolution, fatigue damage, and formability of engineering materials used in the automotive industry. The main objectives of these studies are to develop a nondestructive methodology capable of accurately determining the micro-structural damage evolution and/or failure mechanisms of engineering materials, to provide a critical linkage between micro/meso and macroscale damage mechanisms, and to develop innovative algorithms for damage assessment of engineering structures through the proposed measurement system. The outcome of the ongoing research activities will lead to: 1) a potential breakthrough in understanding the damage evolution through failure process of engineering materials by measuring and analyzing spatial micro/mesoscale crack growth in complete and continuous loading processes without the need to unload and dissect material specimens; 2) possible coalesce of micro/mesoscale crack growth patterns and damage mechanics; and 3) an accurate way for the damage assessment and residual life prediction of engineering structures under service conditions through spatial fracture crack signatures. The proposed nondestructive measurement system will substantially strengthen the research infrastructure at UM-D and will also significantly improve the education quality at UM-D through undergraduate student design projects and research training. The community outreaching will inspire high-school students' interest in science and engineering, and broaden the participation of underrepresented black minority and female students in Dearborn and Detroit communities.
这项主要研究仪器(MRI)的目的是开发获得高能和高分辨率X射线断层扫描系统,用于对密歇根大学(UM-D)的工程材料的裂纹传播和工程材料失败的无损微结构评估(UM-D)。 The requested system will form a fundamental infrastructure to support ongoing multidisciplinary manufacturing-related research activities, including accurate measurement of crack initiation and propagation, quality inspection or damage assessment of engineering structures, failure mechanisms related to crack growth, continuum damage mechanisms related to micro and mesoscale damage evolution, fatigue damage, and formability of engineering materials used in the automotive industry.这些研究的主要目的是开发一种能够准确确定工程材料的微结构损伤演化和/或失败机制的无损方法,以通过拟议的测量系统进行工程损害评估结构的创新算法,从而提供微观/中级和麦克比损害损害机制之间的关键联系,并开发创新的算法。 正在进行的研究活动的结果将导致:1)通过测量和分析空间微型/中尺度裂纹在完整且连续的负载过程中,不需要卸载和解剖材料样品,可以通过测量和分析空间微/中尺度裂纹的生长来理解工程材料的破坏进化的潜在突破; 2)微/介质裂纹生长模式和损害力学的可能结合; 3)通过空间断裂裂纹签名在服务条件下对工程结构进行损害评估和剩余寿命预测的准确方法。拟议的非破坏性测量系统将大大加强UM-D的研究基础设施,并且还将通过本科生设计项目和研究培训显着提高UM-D的教育质量。社区的推广将激发高中生对科学和工程学的兴趣,并扩大了代表性不足的黑人少数民族和女学生在迪尔伯恩和底特律社区的参与。

项目成果

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会议论文数量(0)
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Jie Shen其他文献

Dynamics of regularized cavity flow at high Reynolds numbers
高雷诺数下规则化腔流动力学
  • DOI:
    10.1016/0893-9659(89)90093-1
  • 发表时间:
    1989
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Jie Shen
  • 通讯作者:
    Jie Shen
Clinical Observation of High Intensity Focused Ultrasound (HIFU) Ablation Combined with Qingyihuaji Formula for Salvage Treatment for Advanced Pancreatic Cancer Patients Failed to Systemic Chemotherapy
高强度聚焦超声(HIFU)消融联合清胰化积方抢救治疗全身化疗失败的晚期胰腺癌临床观察
  • DOI:
  • 发表时间:
    2015
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sheng;Jie Shen;N. Hu;Yunyun Cai;Xianjun Sun;Luming Liu
  • 通讯作者:
    Luming Liu
The distribution of human leukocyte antigen-A, -B, and -DRB1 alleles and haplotypes based on high-resolution genotyping of 167 families from Jiangsu Province, China.
基于中国江苏省167个家系的高分辨率基因分型的人类白细胞抗原-A、-B和-DRB1等位基因和单倍型的分布。
  • DOI:
  • 发表时间:
    2011
  • 期刊:
  • 影响因子:
    2.7
  • 作者:
    Q. Pan;S. Fan;Xiaoyan Wang;M. Pan;Xing Zhao;Xiao;Cheng;Jie Shen
  • 通讯作者:
    Jie Shen
Phytoestrogen derivatives differentially inhibit arterial neointimal proliferation in a mouse model.
植物雌激素衍生物在小鼠模型中差异性地抑制动脉新内膜增殖。
  • DOI:
  • 发表时间:
    2006
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Jie Shen;Melanie Y. White;A. Husband;B. Hambly;S. Bao
  • 通讯作者:
    S. Bao
arene / ATP host – guest recognition : selectivity , inhibition of ATP hydrolysis , and application in multidrug resistance treatment †
芳烃/ATP宿主-客体识别:选择性、ATP水解抑制以及在多药耐药性治疗中的应用†
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Guocan Yu;Jiong Zhou;Jie Shen;G. Tangb;Feihe Huang
  • 通讯作者:
    Feihe Huang

Jie Shen的其他文献

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{{ truncateString('Jie Shen', 18)}}的其他基金

CAREER: Robustness, Active Learning, Sparsity, and Fairness in Classification
职业:分类中的鲁棒性、主动学习、稀疏性和公平性
  • 批准号:
    2239376
  • 财政年份:
    2023
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
CRII: III: Efficient and Robust Statistical Estimation from Nonlinear Compressed Measurements
CRII:III:通过非线性压缩测量进行高效且稳健的统计估计
  • 批准号:
    1948133
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Design and Analysis of Highly Efficient Algorithms for Complex Nonlinear Systems
复杂非线性系统高效算法的设计与分析
  • 批准号:
    2012585
  • 财政年份:
    2020
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
International Conference on Current Trends and Challenges in Numerical Solution of Partial Differential Equations
偏微分方程数值解的当前趋势和挑战国际会议
  • 批准号:
    1722535
  • 财政年份:
    2017
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: Efficient, Stable and Accurate Numerical Algorithms for a class of Gradient Flow Systems and their Applications
合作研究:一类梯度流系统高效、稳定、准确的数值算法及其应用
  • 批准号:
    1720440
  • 财政年份:
    2017
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Fast spectral methods and their applications
快速光谱方法及其应用
  • 批准号:
    1620262
  • 财政年份:
    2016
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
I-Corps: Cell Failure Analysis of Lithium-ion Batteries
I-Corps:锂离子电池的电池失效分析
  • 批准号:
    1445355
  • 财政年份:
    2014
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Collaborative Research: Phase-field models, algorithms and simulations for multiphase complex fluids
合作研究:多相复杂流体的相场模型、算法和模拟
  • 批准号:
    1419053
  • 财政年份:
    2014
  • 资助金额:
    $ 30万
  • 项目类别:
    Standard Grant
Fast Spectral Methods and their Applications
快速谱方法及其应用
  • 批准号:
    1217066
  • 财政年份:
    2012
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant
Fast Spectral-Galerkin Methods and their Applications
快速谱伽辽金方法及其应用
  • 批准号:
    0915066
  • 财政年份:
    2009
  • 资助金额:
    $ 30万
  • 项目类别:
    Continuing Grant

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