Selecting an appropriate concept design in the early stage of the product development process is crucial for successful machine development. As one of the important design requirements, a structural design needs to validate the structural fatigue life against physical tests of actual field operations. Traditionally, the fatigue design loads for the concept design evaluations are generated by hand calculations based on past experience to capture envelopes of expected system responses. But such an approach often does not capture actual loading behaviors in the field. An alternative approach of leveraging observed data from physical tests is highly desired, and a new method of this approach is introduced in this study. Our goal is to develop a new methodology of identifying fundamental fatigue load (FFL) contents from observed data by using engineering data analytics (EDA) techniques. The proposed methodology is applied to determine a new sensor layout which enables us to capture fundamental structural damage load patterns. Numerical demonstrations and case studies of the proposed method are presented with a common structural component, an I-section cantilever beam, and an industrial large-scale structure, a front linkage of a hydraulic excavator.
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Research-Article
Fatigue Design Load Identification Using Engineering Data Analytics
Ha-Rok Bae
,
Ha-Rok Bae
Assistant Professor
Mem. ASME
Department of Mechanical
and Materials Engineering,
Mem. ASME
Department of Mechanical
and Materials Engineering,
Wright State University
,Dayton, OH 45435
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Hiroaki Ando
,
Hiroaki Ando
Engineering Specialist
Advanced VPD, PD>,
Advanced VPD, PD>,
Caterpillar, Inc.
,1901 S. First Street
,Champaign, IL 61874
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Sangjeong Nam
,
Sangjeong Nam
Staff Analyst
Information Analytics, PD>,
Information Analytics, PD>,
Caterpillar, Inc.
,1901 S. First Street
,Champaign, IL 61874
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Sangkyum Kim
,
Sangkyum Kim
Engineering Team Lead
Information Analytics, PD>,
Information Analytics, PD>,
Caterpillar, Inc.
,1901 S. First Street
,Champaign, IL 61874
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Christopher Ha
Christopher Ha
Manager
Information Analytics, PD>,
Information Analytics, PD>,
Caterpillar, Inc.
,1901 S. First Street
,Champaign, IL 61874
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Ha-Rok Bae
Assistant Professor
Mem. ASME
Department of Mechanical
and Materials Engineering,
Mem. ASME
Department of Mechanical
and Materials Engineering,
Wright State University
,Dayton, OH 45435
Hiroaki Ando
Engineering Specialist
Advanced VPD, PD>,
Advanced VPD, PD>,
Caterpillar, Inc.
,1901 S. First Street
,Champaign, IL 61874
Sangjeong Nam
Staff Analyst
Information Analytics, PD>,
Information Analytics, PD>,
Caterpillar, Inc.
,1901 S. First Street
,Champaign, IL 61874
Sangkyum Kim
Engineering Team Lead
Information Analytics, PD>,
Information Analytics, PD>,
Caterpillar, Inc.
,1901 S. First Street
,Champaign, IL 61874
Christopher Ha
Manager
Information Analytics, PD>,
Information Analytics, PD>,
Caterpillar, Inc.
,1901 S. First Street
,Champaign, IL 61874
Contributed by the Design Automation Committee of ASME for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received September 12, 2013; final manuscript received June 3, 2014; published online November 14, 2014. Assoc. Editor: Xiaoping Du.
J. Mech. Des. Jan 2015, 137(1): 011001 (12 pages)
Published Online: January 1, 2015
Article history
Received:
September 12, 2013
Revision Received:
June 3, 2014
Online:
November 14, 2014
Citation
Bae, H., Ando, H., Nam, S., Kim, S., and Ha, C. (January 1, 2015). "Fatigue Design Load Identification Using Engineering Data Analytics." ASME. J. Mech. Des. January 2015; 137(1): 011001. https://doi.org/10.1115/1.4027849
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