Sensor placement and structural damage identification from minimal sensor information

Cobb, Richard; Liebst, Brad S.

doi:10.2514/3.13512

Cited by 17 publications

(24 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It should be noted that the three sensors are not aligned orthogonally but their angle towards the y-direction is rather 0.0 0. 6 small. This results from the fact that the stiffness of the clamp in the y-direction is very small and thus, the system has very large vibration amplitudes in this direction.…”

Section: Sensors In Clamping Elementsmentioning

confidence: 95%

“…One could argue that sensors should be sensitive to resonances in order to have high signal amplitudes. While this is particularly suitable for structural health monitoring [6] this would make a measurement system vulnerable to mistuning. A slight mistuning would shift the resonance frequency and could cause a dramatic estimation error in the calculation of the inverted system behavior.…”

Section: Design Of Dynamic Sensor Systemsmentioning

confidence: 98%

See 1 more Smart Citation

Design of dynamic multi sensor systems

Denkena¹,

Möhring²,

Litwinski³

2008

Prod. Eng. Res. Devel.

View full text Add to dashboard Cite

Recent increase in machine automation, machine capability, and the performance of machining processes lead to high demands on process monitoring systems. In the Center of Production Engineering in Hannover Gentelligent Ò manufacturing systems are researched, which will be able to meet those requirements. One enabling factor for these systems is the ''feeling'' capability, achieved by multi sensor systems. This paper copes with the design of these systems. This includes on the one hand the development of sensor configurations and on the other hand a concept for sensor fusion. For the search of optimum sensor configurations a previously developed algorithm is extended to consider the dynamic behavior of the sensor systems.

show abstract

Section: Sensors In Clamping Elementsmentioning

confidence: 95%

Section: Design Of Dynamic Sensor Systemsmentioning

confidence: 98%

Design of dynamic multi sensor systems

Denkena¹,

Möhring²,

Litwinski³

2008

Prod. Eng. Res. Devel.

View full text Add to dashboard Cite

show abstract

“…For example, structural health monitoring studies used sensors (e.g., accelerometers, strain gages) to monitor the structural components of buildings [4][5][6][7]. The main objective of these studies was to estimate the behavior of a structural component or a system rather than to estimate possible blockage in a facility, and in most cases, a single type of sensor was utilized.…”

Section: Background Researchmentioning

confidence: 99%

Blockage assessment of buildings during emergency using multiple types of sensors

Ergen

Güven

Kurç

et al. 2015

Automation in Construction

View full text Add to dashboard Cite

“…The corresponding scalar functions f i and g i may be linear or nonlinear. Hence, the reduced structural matrices in equation (14) are obtained as…”

Section: Inverse Formulationsmentioning

confidence: 99%

“…Over the past few decades, the finite element method has been extended to the inverse problem of structural optimization [8][9][10], system identification [11][12][13], and damage detection [14][15][16]. In conventional modal methods, the perturbations in modal characteristics (natural frequencies and mode shapes) are related to the modifications of structural properties (stiffness and mass).…”

Section: Introductionmentioning

confidence: 99%

System condensations for inverse problems of linear dynamic structures

Kim

Choi

2006

Inverse Problems in Science and Engineering

View full text Add to dashboard Cite

A modal method combined with system condensation is presented for the assessment of selection optimality and solution accuracy in inverse problems of structural optimization and damage detection. Finite element procedures are applied to seek the structural modifications for the characteristic changes assigned from design goals or dynamic measurements. The solution convergence is related to the selection of degrees of freedom and the method of system transformation. The application of the dynamic stiffness matrix yields a frequency-dependent transformation matrix, which can be expanded into an infinite series to obtain lower-order approximations. The modal matrix may be used to project the measured data onto the mode shapes, in which case much emphasis is laid on the linear independence of the selected degrees of freedom and the condition number of the transformation matrix. The baseline structure is used to obtain an initial perturbation, which can be improved through repeated updates of the transformation. The proposed methods give excellent solutions for frequency optimization. In damage detection, however, moderate deviations from the correct structural changes are attributable to system reduction. The dynamic stiffness matrix seems recommendable over the modal matrix projection for the system transformation.

show abstract

Sensor placement and structural damage identification from minimal sensor information

Cited by 17 publications

References 0 publications

Design of dynamic multi sensor systems

Design of dynamic multi sensor systems

Blockage assessment of buildings during emergency using multiple types of sensors

System condensations for inverse problems of linear dynamic structures

Contact Info

Product

Resources

About