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Proceedings Paper

Surrogate model for condition assessment of structures using a dense sensor network
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Paper Abstract

Condition assessment of civil infrastructures is difficult due to technical and economic constraints associated with the scaling of sensing solutions. When scaled appropriately, a large sensor network will collect a vast amount of rich data that is difficult to directly link to the existing condition of the structure along with its remaining useful life. This paper presents a methodology to construct a surrogate model enabling diagnostic of structural components equipped with a dense sensor network collecting strain data. The surrogate model, developed as a matrix of discrete stiffness elements, is used to fuse spatial strain data into useful model parameters. Here, strain data is collected from a sensor network that consists of a novel sensing skin fabricated from large area electronics. The surrogate model is constructed by updating the stiffness matrix to minimize the difference between the model’s response and measured data, yielding a 2D map of stiffness reduction parameters. The proposed method is numerically validated on a plate equipped with 40 large area strain sensors. Results demonstrate the suitability of the proposed surrogate model for the condition assessment of structures using a dense sensor network.

Paper Details

Date Published: 27 March 2018
PDF: 9 pages
Proc. SPIE 10598, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, 105983F (27 March 2018); doi: 10.1117/12.2296711
Show Author Affiliations
Jin Yan, Iowa State Univ. (United States)
Xiaosong Du, Iowa State Univ. (United States)
Austin Downey, Iowa State Univ. (United States)
Alessandro Cancelli, Iowa State Univ. (United States)
Simon Laflamme, Iowa State Univ. (United States)
Leifur Leifsson, Iowa State Univ. (United States)
An Chen, Iowa State Univ. (United States)
Filippo Ubertini, Univ. degli Studi di Perugia (Italy)


Published in SPIE Proceedings Vol. 10598:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018
Hoon Sohn, Editor(s)

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