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Fatigue Based Structural Design Exploration via Engineering Data Analytics

Li, Hao
http://rave.ohiolink.edu/etdc/view?acc_num=wright1408364648

Abstract Details

, Master of Science in Engineering (MSEgr), Wright State University, Mechanical Engineering.
In manufacturing industry, a successful machine development requires the durability of structure components to meet fatigue life targets. The typical way to obtain fatigue design loads for conceptual design exploration is based on hand calculations or historical data to capture envelopes of expected system responses, which may not guarantee to capture actual damaging loads. In this study, a new approach is developed to extract a fatigue design load set directly from measured load data for a conceptual design exploration. The proposed framework integrates the techniques from data analytics and physics based engineering mechanics to amplify and detect fundamental damaging load patterns. Also, a practical Taguchi optimization method is proposed by using a moving window strategy to minimize the computational cost of design exploration. An industrial scale structural problem, a front linkage structure of a hydraulic excavator, is presented to demonstrate the effectiveness of the proposed methodologies.
Ha-Rok Bae, Ph.D. (Advisor)
Zifeng Yang, Ph.D. (Committee Member)
Sanjiv Kumar Sinha, Ph.D. (Committee Member)
84 p.
Mechanical Engineering
mechanical engineering

Recommended Citations

Citations

  • Li, H. (2014). Fatigue Based Structural Design Exploration via Engineering Data Analytics [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1408364648

    APA Style (7th edition)

  • Li, Hao. Fatigue Based Structural Design Exploration via Engineering Data Analytics . 2014. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1408364648.

    MLA Style (8th edition)

  • Li, Hao. "Fatigue Based Structural Design Exploration via Engineering Data Analytics ." Master's thesis, Wright State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1408364648

    Chicago Manual of Style (17th edition)

wright1408364648
734
© 2014, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.