Abstract

Optimal sensor placement is used to establish the optimal sensor quantity and layout. In this study, the minimum quantity and locations of measurement sensors were assumed to satisfy the constraint conditions of the optimal sensor placement. A set of strain data in a truss structure was expanded to another set of displacements corresponding to the entire degrees of freedom from the relationship between the strain and displacement. It indicates to reduce the number of sensors because the strain depends on the displacements in a finite element model. The damaged truss element was traced using the expanded data that satisfied the prescribed constraints. The proposed optimal sensor placement method has a merit to explicitly determine the optimal sensor locations without any numerical scheme and statistical methods. The method was applied to the damage detection of a single-damaged truss structure. It was shown that the optimal sensor placement method depended on the sensor layout irrespective of the same quantity of sensors. In addition, a numerical example was used to compare sensitivities to damage detection based on the sensor placement and the existence of external noise contained in the measurement data.

Highlights

  • Structural health monitoring (SHM) is a useful technique for evaluating and monitoring structural health

  • The optimal sensor placement (OSP) is used to determine the minimum number of sensors required and help in designing the optimal sensor layout for obtaining sufficient information about the structural health state

  • The sensor quantity can be reduced by applying constraint conditions, and the minimum sensor quantity can be obtained

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Summary

Introduction

Structural health monitoring (SHM) is a useful technique for evaluating and monitoring structural health. A method for predicting the OSP through the expansion of the measured strain data to a full set of displacement DOFs was developed. The OSP performed in this study corresponded to the sensor quantity and locations for collecting adequate response data at all the DOFs despite the existence of external noise.

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