A comparison between different robust optimum design approaches: Application to tuned mass dampers

Marano, Giuseppe Carlo; Greco, Rita; Sgobba, Sara

doi:10.1016/j.probengmech.2009.08.004

Cited by 87 publications

(38 citation statements)

References 29 publications

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“…replaced the mean values by the medians [21]. Detailed analysis in this table indicates that for all conditions: (i) for each exposure period, width inside pit is in good agreement with the width at pit mouth estimated from Table 1 (supposing circular mouth); (ii) pit depth rapidly increases during the first 48 hours of Salt Spray exposure, and then it is apparently stabilized; (iii) pits are deeper than they are wide, which suggests that metal dissolution rate is higher at pit bottom than at the pit wall; (iv) pit depth increases from transition regions B to irregular geometry; (v) irregular pits are also the widest ones.…”

Section: Resultsmentioning

confidence: 99%

Morphology Characterisation of Pitting Corrosion on Sensitized Austenitic Stainless Steel by Digital Image Analysis

et al. 2013

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Pit morphology on sensitized 310S stainless steel has been studied using an image processing method based on reflected light microscopy. Salt Spray (fog) test has been used to induce the pitting corrosion. Morphological pits characters do not depend on sensitization heat treatments applied here. Nucleation rates and growth may be associated with quantity and distribution of chromium carbides. This being so, condition I (heating up to 1065 ∘ C during 1 h and air cooling) and condition II (heating up to 1065 ∘ C during 1 h and air cooling followed by reheating up to 670 ∘ C during 5 h and again air cooling) are the most susceptible to pitting, in particular the first one. In these two conditions, pits are nucleated in grains and in grain boundaries, while in condition III (heating up to 1065 ∘ C during 1 h and air cooling followed by reheating up to 620 ∘ C during 24 h and again air cooling), pits are preferentially nucleated in boundaries of small grains. Thence, pits usually grow more rapidly in depth than in width, being able to occur partial or total grains separation. Pits are mainly hemispherical, near-hemispherical, near-conical, and near-cylindrical without significant geometric transition associated with an increasing exposure period.

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Section: Resultsmentioning

confidence: 99%

Morphology Characterisation of Pitting Corrosion on Sensitized Austenitic Stainless Steel by Digital Image Analysis

et al. 2013

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“…In this context, the optimization of the TMD parameters for structures subjected to random excitation has taken wide interest in research in last decades [2][3][4][6][7]. Besides the randomness in the excitations, structural parameters are usually uncertain due to many factors, such as the manufacturing and the operating processes, and considerations related to these uncertainties must be taken into account when optimizing the TMD parameters.…”

Section: Nomenclature Amentioning

confidence: 99%

“…The system is excited by a base acceleration € y b due to seismic motion which is modeled by the well known Kanai-Tajimi stationary stochastic process [1][2][3][4][5]. Then, the base acceleration satisfies the following equations:…”

Section: Structural Model Stochastic Responsementioning

confidence: 99%

“…It represents the excitation of the dynamic system and it has intensity S 0 . ξ f , ω f and y f are the damping ratio, the natural frequency and the relative response (with respect to the ground) of the elastic filter [1][2][3][4][5], respectively. Considering the Kanai-Tajimi model, the global space state vector of the mechanical system is given by y ¼ fy T ; y s ; y f ; _ y T ; _ y s ; _ y f g T and the equation of motion can be written in the space state form as follows [1][2][3][4][5]:…”

Section: Structural Model Stochastic Responsementioning

confidence: 99%

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New approaches in reliability based optimization of tuned mass damper in presence of uncertain bounded parameters

Mrabet

Guedri

Ichchou

et al. 2015

Journal of Sound and Vibration

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“…They suggested incorporation of the random variables in tuning of TMD for better performance. Marano et al [8] proposed RDO with multiple objective functions based on minimizing mean and standard deviation of the performance function. Their study shows that objective functions based on mean and standard deviation lead to conflicting results.…”

Section: Introductionmentioning

confidence: 99%

Robust Design of TMD for Vibration Control of Uncertain Systems Using Adaptive Response Surface Method

Rathi

Chakraborty

2014

Advances in Structural Engineering

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The effect of randomness in system parameters on robust design of tuned mass damper (TMD) is examined in this work. For this purpose, mean and standard deviation based robust design optimization (RDO) scheme is suggested. The performance of TMD is evaluated using the percentage reduction of the root mean square (RMS) of the output displacement. Adaptive response surface method (ARSM) is used for the optimization and for the estimation of first two moments. In this context, moving least square (MLS) based regression technique is used for better fitting of the response surface. A comparative numerical study is conducted to show the effectiveness of the proposed method to improve the reliability of the controller.

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A comparison between different robust optimum design approaches: Application to tuned mass dampers

Cited by 87 publications

References 29 publications

Morphology Characterisation of Pitting Corrosion on Sensitized Austenitic Stainless Steel by Digital Image Analysis

Morphology Characterisation of Pitting Corrosion on Sensitized Austenitic Stainless Steel by Digital Image Analysis

New approaches in reliability based optimization of tuned mass damper in presence of uncertain bounded parameters

Robust Design of TMD for Vibration Control of Uncertain Systems Using Adaptive Response Surface Method

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