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논문 기본 정보

자료유형
학술저널
저자정보
Im, Seok Been (ENG center, Samsung C&T) Cloudt, Harding C. (Zachry Department of Civil Engineering, Texas A&M University) Fogle, Jeffrey A. (Zachry Department of Civil Engineering, Texas A&M University) Hurlebaus, Stefan (Zachry Department of Civil Engineering, Texas A&M University)
저널정보
테크노프레스 Smart structures and systems Smart structures and systems 제12권 제3호
발행연도
2013.1
수록면
427 - 440 (14page)

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A growing need has developed in the United States to obtain more specific knowledge on the structural integrity of infrastructure due to aging service lives, heavier and more frequent loading conditions, and durability issues. This need has spurred extensive research in the area of structural health monitoring over the past few decades. Several structural health monitoring techniques have been developed that are capable of locating damage in structures using modal strain energy of mode shapes. Typically in the past, bending strain energy has been used in these methods since it is a dominant vibrational mode in many structures and is easily measured. Additionally, there may be cases, such as pipes, shafts, or certain bridges, where structures exhibit significant torsional behavior as well. In this research, torsional strain energy is used to locate damage. The damage index method is used on two numerical models; a cantilevered steel pipe and a simply-supported steel plate girder bridge. Torsion damage indices are compared to bending damage indices to assess their effectiveness at locating damage. The torsion strain energy method is capable of accurately locating damage and providing additional valuable information to both of the structures' behaviors.

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