Reconstruction of a distributed force applied on a thin cylindrical shell by an inverse method and spatial filtering

Djamaa, Mohamed Cherif; Ouelaa, Nouredine; Pézerat, Charles; Guyader, Jean‐Louis

doi:10.1016/j.jsv.2006.10.021

Cited by 80 publications

(25 citation statements)

References 11 publications

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“…The direct methods formulate the inverse problem with direct use of the physical or mathematical model and these methods can be performed in the time domain or the frequency domain analysis. Regularization methods can be utilized to overcome the ill-posed problem with additional physical or mathematical conditions [6][7][8]. Probabilistic or statistical 2 Shock and Vibration methods were employed by a probabilistic or statistical perspective to gain the unknown loads [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Time-Varying Wind Load Identification Based on Minimum-Variance Unbiased Estimation

Xue

Lin

Luo

et al. 2017

Shock and Vibration

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A minimum-variance unbiased estimation method is developed to identify the time-varying wind load from measured responses. The formula derivation of recursive identification equations is obtained in state space. The new approach can simultaneously estimate the entire wind load and the unknown structural responses only with limited measurement of structural acceleration response. The fluctuating wind speed process is investigated by the autoregressive (AR) model method in time series analysis. The accuracy and feasibility of the inverse approach are numerically investigated by identifying the wind load on a twenty-story shear building structure. The influences of the number and location of accelerometers are examined and discussed. In order to study the stability of the proposed method, the effects of the errors in crucial factors such as natural frequency and damping ratio are discussed through detailed parametric analysis. It can be found from the identification results that the proposed method can identify the wind load from limited measurement of acceleration responses with good accuracy and stability, indicating that it is an effective approach for estimating wind load on building structures.

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Section: Introductionmentioning

confidence: 99%

Time-Varying Wind Load Identification Based on Minimum-Variance Unbiased Estimation

Xue

Lin

Luo

et al. 2017

Shock and Vibration

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“…M.C. Djamaa et al [3] had further understood about the dynamic loads distribution of the thin pilaster structure using the finite differential method; and eliminated the error amplification through normalized. Choi et al [4,5] improved the stability of the load identification results and studied the affect on loads identification accuracy selecting different normalization parameter.…”

Section: Introductionmentioning

confidence: 99%

“…Paper [8] put forward the condition number weighted algorithm based on inverse pseudo-excitation method, which improves the error amplifier problems of the identification results generated when matrix is "sick" in random loads identification. The methods offered in [2][3][4][5][6][7][8] solve the problem of identifying the dynamic loads mathematically, but they were all limited to be academic because of the complexities of the theory and the difficulty of large amount of calculation.…”

Section: Introductionmentioning

confidence: 99%

On the Identification Technology for the Random Load Spectrums

Li¹,

Wang²,

Qiu³

et al. 2015

Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering

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Abstract-This paper deduces the relationship between the frequency response and loads for a structure within the frequency domain, and puts forward a new method for identifying the random loads spectrum. Firstly, the response power spectrum of structural control points is calculated based on the white noise loads spectrum. Then in order to get the corresponding random loads spectrum, the response power spectrum and the desired output response spectrum are compared. Finally, a specific cabin structure is analyzed by using the above method. The FEA (Finite Element Analysis) simulation results show that the method is valid in identifying the fundamental acceleration loads spectrum.

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“…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%

“…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. For example, a number of authors have developed a pertinent strategy, called the RIFF method, for identifying vibration sources [4,5,6]. The underlying principle entails both the discretization of motion equations via a finite difference scheme and the computation of force distribution from a set of displacements measured on the structure.…”

mentioning

confidence: 99%

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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Reconstruction of a distributed force applied on a thin cylindrical shell by an inverse method and spatial filtering

Cited by 80 publications

References 11 publications

Time-Varying Wind Load Identification Based on Minimum-Variance Unbiased Estimation

Time-Varying Wind Load Identification Based on Minimum-Variance Unbiased Estimation

On the Identification Technology for the Random Load Spectrums

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

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