A study on an estimation method for applied force on the rod

Ji, Ching-China; Liang, Chao

doi:10.1016/s0045-7825(99)00475-2

Cited by 15 publications

(6 citation statements)

References 21 publications

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“…Obtaining force values from indirect measurements, like calibrated strain gauges, requires a good knowledge of the system parameters, which might be unknown as well. The same issue appears when forces are estimated through a Kalman filtering approach and strain or acceleration measurements [1], [2]. Typical techniques for estimating physical parameters in structural dynamics, on the other hand, require a known input [3].…”

Section: State Of the Artmentioning

confidence: 99%

An extended Kalman filter approach for augmented strain/stress visualization in mechanical systems

Naets

Cosco

Desmet

2014

2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)

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This work presents an extended Kalman filtering approach to obtain accurate strain and stress estimates of a structure under operational loading. This information is exploited in an augmented reality application to visualize strains and corresponding stresses on a real component. A parametrized reduced physical model allows an efficient computation of the stresses in the Kalman filter. The model is parametrized in order to give good robustness to uncertain parameters, by estimating the parameters concurrently with the states. In order to allow unknown loading conditions, also the unknown input forces are estimated. This approach offers a very efficient and robust estimation approach. On the other side, using augmented reality as the visualization paradigm, offers two major benefits: visualizing operational strains and stresses field instead of discrete quantities; collocating the results on top of the real component under investigation. The obtained paradigm, validated with a demonstration case through an experimental validation on a beam, permits a more natural visualization and interpretation of operational conditions. Our results encourage the adoption of the proposed approach for on-line monitoring of structural components, opening new possibility in the field of Augmented Reality for Maintenance.

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Section: State Of the Artmentioning

confidence: 99%

An extended Kalman filter approach for augmented strain/stress visualization in mechanical systems

Naets

Cosco

Desmet

2014

2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA)

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“…Energy variables are defined as the superposition of a direct field and a reverberated field, both of which can be summed to obtain the total field, as explained in Equation (3). A representation of these fields is given in Figure (1), where only the intensity field has been shown.…”

Section: Direct Formulationmentioning

confidence: 99%

“…Indirect means for defining excitation often provides an effective alternative. A tremendous amount of work has been performed and published regarding this issue [1,2,3,4,5,6,7,8,9,10,11]. The problem being considered herein may also have applications in structural health monitoring.…”

Section: Introductionmentioning

confidence: 99%

“…This method performs effectively in estimating the input forces of beam structural systems from noisy measurements. It has been shown [3] that a Kalman filter method may be used to estimate a timewise variation rod force. The second approach consists of defining the input force that allows the measured set of inputs to verify the equilibrium equations given in either continuous or discretized form.…”

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confidence: 99%

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Structural sources identification through an inverse mid-high frequency energy method

Chabchoub

Besset

Ichchou

2011

Mechanical Systems and Signal Processing

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To cite this version:Mohamed Chabchoub, Sébastien Besset, Mohamed Ichchou. Structural sources identification through an inverse mid-high frequency energy method. Mechanical Systems and Signal Processing, Elsevier, 2011, 25 (8) AbstractThis paper is primarily focused on the identification of structural forces, with the objective of localizing forces injected into structures in the mid-high frequency range. An energy method, called the Simplified Energy Method (MES), has already been introduced for the purpose of predicting an energy density distribution for structural acoustic problems in the mid-high frequency range. The present paper proposes using this same energy method to solve inverse structural problems. More specifically, the injected forces are to be estimated and localized through knowledge of a set of energy densities within the structure. The 2D formulation of this inverse approach, known as Inverse MES (or IMES), is first expressed. Both the boundary and internal sources can then be detected by applying the proposed formulation. Numerical test results are processed using a 2D Kirchhoff plate, and a number of conclusions are also drawn regarding IMES capabilities. Moreover, this paper offers a numerical comparison with another energy-based method.

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“…Two possible issues arise when considering inverse acoustic problems. The first issue is low-frequency problems, which are mostly treated through inverse FEM, BEM or FRF methods since these techniques are well adapted to this frequency range [1][2][3][4][5][6][7][8][9][10]. Indeed, the 'low-frequency domain' is a frequency range where the modal overlap is low and modal information clearly appears; therefore, in this frequency range, structures do not require fine meshing and FEM or BEM calculation costs are not too high.…”

Section: Introductionmentioning

confidence: 99%

Identification of acoustic sources through an inverse energy method

Chabchoub¹,

Besset²,

Ichchou³

2011

Inverse Problems in Science and Engineering

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This article deals with the behaviour of acoustic cavities in the mid-highfrequency range. An energy method called simplified energy method (MES) has already been proposed to predict energy levels in acoustic cavities. The direct MES provides energy density repartitions from the knowledge of input power and power dissipated at the boundaries. In this article we propose that the MES can be used to solve inverse problems. More precisely, the dissipated energy at the acoustic domain boundaries are retrieved from the knowledge of energy densities. The inverse MES formulation is first defined and a simple acoustic cavity test case is analysed, displaying the efficiency of the proposed method. The nature and the quality of input data as well as other parameters will be considered.

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A study on an estimation method for applied force on the rod

Cited by 15 publications

References 21 publications

An extended Kalman filter approach for augmented strain/stress visualization in mechanical systems

An extended Kalman filter approach for augmented strain/stress visualization in mechanical systems

Structural sources identification through an inverse mid-high frequency energy method

Identification of acoustic sources through an inverse energy method

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