Optimal placement of triaxial accelerometers for modal vibration tests

Kammer, Daniel C.; Tinker, Michael L.

doi:10.1016/s0888-3270(03)00017-7

Cited by 154 publications

(106 citation statements)

References 8 publications

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“…. , nÞ in equation (13). However, as equation (11) shows, the dynamical properties of a nonlinear system are determined by a series of Volterra kernels, such as h ði, j Þ ð 1 , .…”

Section: Fs Lðiþmentioning

confidence: 99%

“…, n Þ is the nth order Volterra kernel. Equation (13) implies the relationship between the displacements in the z-direction z i (t) and the input force u(t).…”

Section: Fs Lðiþmentioning

confidence: 99%

“…11 Yao et al 12 engaged genetic algorithm (GA) as a substitution to the EI, and the determinant of Fisher Information Matrix (FIM) was selected as a objective function. Kammer and Tinker 13 proposed a sensor configuration method containing triaxial accelerometers based on EI to carry out modal vibration tests. Ngatchou et al 14 presented a type of improved particle swarm optimization (PSO) algorithm named sequential-PSO to layout the sensors.…”

Section: Introductionmentioning

confidence: 99%

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Optimal placement of sensors and piezoelectric friction dampers in the pipeline networks based on nonlinear dynamic analysis

Shokouhi

Yuan

Zhu

2017

Journal of Low Frequency Noise, Vibration and Active Control

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Experiences of past earthquakes demonstrate that pipeline systems have no proper performance when exposed to severe earthquakes. In this study, sensor and damper placement approaches are presented for doing reliable health monitoring and seismic retrofitting of the piping networks. Since most of the available sensor placement methods are based on modal analysis results, the authors propose a new scheme that relies on the nonlinearity which utilizes nonlinear time history analysis results, and genetic algorithm is selected to act as the methodology of optimization as well. The results demonstrate that the proposed optimal sensor configuration strategy is more accurate and efficient than the extended modal assurance criterion method. To assess the number of sensors, a sensitivity analysis is undertaken in which the number of sensors computed optimally by the proposed algorithm contains the least convergence error. In addition, the number of iterations and the time consumed in the proposed approach are considerably less than the extended modal assurance criterion method. Moreover, the efficiency of the proposed sensor placement scheme was compared with a new algorithm proposed by Sun and Büyükö ztürk, named discrete artificial bee colony, where the simulation result demonstrates high accuracy of the proposed sensor configuration approach. The initial time history analysis results show the vulnerable points of the system, which destroyed due to the applied seismic waves. Hence, to enhance the seismic performance of the system, piezoelectric friction dampers are optimally placed, where it can be clearly seen that the optimal arrangement of piezoelectric friction dampers in the piping system can significantly decrease the seismic response.

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“…. , nÞ in equation (13). However, as equation (11) shows, the dynamical properties of a nonlinear system are determined by a series of Volterra kernels, such as h ði, j Þ ð 1 , .…”

Section: Fs Lðiþmentioning

confidence: 99%

“…, n Þ is the nth order Volterra kernel. Equation (13) implies the relationship between the displacements in the z-direction z i (t) and the input force u(t).…”

Section: Fs Lðiþmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal placement of sensors and piezoelectric friction dampers in the pipeline networks based on nonlinear dynamic analysis

Shokouhi

Yuan

Zhu

2017

Journal of Low Frequency Noise, Vibration and Active Control

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“…This will reduce the probability of generating disabled monkeys. The EFI3 measurement theory is modified [38] and included in the objective function. In the troop generation process, the new healthy monkeys should be generated randomly.…”

Section: Triaxial Accelerometer Monkey Algorithmmentioning

confidence: 99%

Monkey Behavior Based Algorithms - A Survey

Devi¹,

Sathya²

2017

IJISA

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Abstract-Swarm intelligence algorithms (SIA) are bioinspired techniques based on the intelligent behavior of various animals, birds, and insects. SIA are problemindependent and are efficient in solving real world complex optimization problems to arrive at the optimal solutions. Monkey behavior based algorithms are one among the SIAs first proposed in 2007. Since then, several variants such as Monkey search, Monkey algorithm, and Spider Monkey optimization algorithms have been proposed. These algorithms are based on the tree or mountain climbing and food searching behavior of monkeys either individually or in groups. They were designed with various representations, covering different behaviors of monkeys and hybridizing with the efficient operators and features of other SIAs and Genetic algorithm. They were explored for applications in several fields including bioinformatics, civil engineering, electrical engineering, networking, data mining etc. In this survey, we provide a comprehensive overview of monkey behavior based algorithms and their related literatures and discuss useful research directions to provide better insights for swarm intelligence researchers.

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“…There are some reasonably established general criteria that can be followed (Van Langenhove and Brughmans, 2010;Papadimitriou, 2004;Kammer and Tinker, 2004): the DOFs should meet some observability criteria and allow the modes to be distinguished, they should be associated with large masses, etc. however optimality criteria on DOFs selection also depend on the method that has been used to carry out the reduction.…”

Section: Introductionmentioning

confidence: 99%

On the use of SEREP for satellite FEM validation

Aglietti

Walker

Kiley

2012

Engineering Computations

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Purpose - The purpose of this paper is to assess the suitability of various methods for the reduction of a large finite element model (FEM) of satellites to produce models to be used for correlation of the FEM with test results. The robustness of the cross-orthogonality checks (COC) for the correlation process carried out utilizing the reduced model is investigated, showing its dependence on the number of mode shapes used in the reduction process. Finally the paper investigates the improvement in the robustness of the COC that can be achieved utilizing optimality criteria for the selection of the degrees of freedom (DOF) used for the correlation process. Design/methodology/approach - A Monte Carlo approach has been used to simulate inaccuracies in the mode shapes (analysis and experimental) of a satellite FEM that are compared during the COC. The sensitivity of the COC to the parameters utilized during the reduction process, i.e. mode shapes and DOFs, is then assessed for different levels of inaccuracy in the mode shapes. Findings - The System Equivalent Expansion Reduction Process (SEREP) has been identified as a particularly suitable method, with the advantage that a SEREP reduced model has the same eigenvalues and eigenvector of the whole system therefore automatically meeting the criteria on the quality of the reduced model. The inclusion of a high number of mode shapes in the reduction process makes the check very sensitive to minor experimental or modelling inaccuracies. Finally it was shown that utilizing optimality criteria in the selection of the DOFs to carry out the correlation can significantly improve the probability of meeting the COC criteria. Research limitations/implications - This work is based on the FEM of the satellite IT>Aeolus/IT>, and therefore the numerical values obtained in this study are specific for this application. However, this model represents a typical satellite FEM and therefore the trends identified in this work are expected to be generally valid for this type of structure. Practical implications - The correlation of satellite FEM with test results involves a substantial effort, and it is crucial to avoid failures of the COC due to numerical issues rather than real model inaccuracies. This work shows also how an inappropriate choice of reduction parameters can lead to failure of the COC in cases when there are only very minor differences (e.g. due to minor amount of noise in the results) between analytical and test results. Vice versa, the work also shows how the robustness of the reduced model can be improved. Originality/value - The paper shows how the robustness of the correlation process for a satellite FEM carried out utilising a SEREP reduced model needed to be investigated, to demonstrate the suitability of this method to reduce large FEM of satellites. Copyright © 2012 Emerald Group Publishing Limited. All rights reserved

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Optimal placement of triaxial accelerometers for modal vibration tests

Cited by 154 publications

References 8 publications

Optimal placement of sensors and piezoelectric friction dampers in the pipeline networks based on nonlinear dynamic analysis

Optimal placement of sensors and piezoelectric friction dampers in the pipeline networks based on nonlinear dynamic analysis

Monkey Behavior Based Algorithms - A Survey

On the use of SEREP for satellite FEM validation

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