Active control of high rise building structures using fuzzy logic and genetic algorithms

Pourzeynali, Saeid; Lavasani, H.H.; Modarayi, A.H.

doi:10.1016/j.engstruct.2006.04.015

Cited by 229 publications

(143 citation statements)

References 17 publications

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“…Building A is a sixstorey shear building as discussed in Arfiadi andHadi (2001, 2011), and Building B is a six-storey building as discussed in Sadek et al (1997). The structures are considered as linear systems, similar to Pourzeynali, Lavasani, and Modarayi (2007), Pourzeynali and Zarif (2008), Shayeghi, Eimani Kalasar, and Shayeghi (2009) and Arfiadi and Hadi (2011). The adjacent buildings are Q1 subjected to the 1940 El Centro (117 El Centro Array-9 station) and the 1995 Kobe (KJMA station) excitations, where the maximum ground acceleration scaled to 0.3 g for 1940 El Centro NS and 0.8 g for 1995 Kobe NS.…”

Section: Numerical Examplementioning

confidence: 99%

“…Control algorithms developed for passive and active control have been directly useful for developing other recent control strategies. To check the accuracy of the mechanical model of the damped structure, for example, Lee et al (2006), Pourzeynali, Lavasani, and Modarayi (2007), Arfiadi and Hadi (2011), Nigdeli (2011), Fadel Miguel, Lopez, andMiguel (2013) and Bekdas and Nigdeli (2013) analysed the same examples used in the study and compared their results with the GA method proposed by Hadi and Arfiadi (1998).…”

Section: Introductionmentioning

confidence: 99%

“…Ok, Song, and Park (2009) developed an optimal design of semi-active dampers using multi-objective optimization. Despite the recent developments of control strategies such as semi-active control, more research is required in the area of active structural control (Pourzeynali, Lavasani, and Modarayi 2007). Bharti, Dumne, and Shrimali (2010) studied seismic response mitigation of adjacent buildings under semi-active control strategies.…”

Section: Introductionmentioning

confidence: 99%

“…In this case, the control force is obtained by multiplying the measurement with the gain matrix (Arfiadi and Hadi 2001). To obtain the best results in the reduction of the structures, combined application of the GAs and fuzzy logic has been proposed to design and optimize the different parameters of active dampers by Pourzeynali, Lavasani, and Modarayi (2007).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Investigating the optimal passive and active vibration controls of adjacent buildings based on performance indices using genetic algorithms

Hadi

2014

Engineering Optimization

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This study proposes the optimal passive and active damper parameters for achieving the best results in seismic response mitigation of coupled buildings connected to each other by dampers. The optimisation to minimise the H2 and H-norms in the performance indices is carried out by genetic algorithms (GAs). The final passive and active damper parameters are checked for adjacent buildings connected to each other under El Centro NS 1940 and Kobe NS 1995 excitations. Using real coded GA in H-norm, the optimal controller gain is obtained by different combinations of the measurement as the feedback for designing the control force between buildings. The propsed method is more effective than other metaheuristic methods and more feasible, although the contol force increased. The results ifn the active control system show that the response of adjacent buildings is reduced in an efficient manner. 1. Please check these proofs carefully. It is the responsibility of the corresponding author to check these and approve or amend them. A second proof is not normally provided. Taylor & Francis cannot be held responsible for uncorrected errors, even if introduced during the production process. Once your corrections have been added to the article, it will be considered ready for publication.Please limit changes at this stage to the correction of errors. You should not make insignificant changes, improve prose style, add new material, or delete existing material at this stage. Making a large number of small, non-essential corrections can lead to errors being introduced. We therefore reserve the right not to make such corrections.For detailed guidance on how to check your proofs, please see http://journalauthors.tandf.co.uk/production/checkingproofs.asp. The reference "Hadi and Arfiadi (2011)" is cited in the text but is not listed in the reference list. Please either delete in-text citation or provide full reference details following journal style. Please review the AQ3The spelling of Name for "Bektas and Nigdeli (2011)" has been changed to Bekdas and Nigdeli (2011) to match the entry in the reference list. Please confirm that this is correct and provide revisions if needed. AQ4The reference "Pourzeynali et al. (2006)" is cited in Tables 8 and 9 but is not listed in the reference list. Please either delete in-text citation or provide full reference details following journal style. How to make corrections to your proofs using Adobe AcrobatTaylor & Francis now offer you a choice of options to help you make corrections to your proofs. Your PDF proof file has been enabled so that you can edit the proof directly using Adobe Acrobat. This is the simplest and best way for you to ensure that your corrections will be incorporated. If you wish to do this, please follow these instructions:1. Save the file to your hard disk.2. Check which version of Adobe Acrobat you have on your computer. You can do this by clicking on the "Help" tab, and then "About."If Adobe Reader is not installed, you can get the latest version free from http://get.a...

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Section: Numerical Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigating the optimal passive and active vibration controls of adjacent buildings based on performance indices using genetic algorithms

Hadi

2014

Engineering Optimization

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“…Three of the most popular control methods are based on: (1) Classical control (2) Neural network control and (3) Fuzzy logic control. In the area of neural network and fuzzy logic control, several studies examining the performance of dynamic vibration absorbers have been undertaken (Samali and Al-Dawod, 2003;Samali et al, 2004;Yang et al, 2006;Pourzeynali et al, 2007;Owji et al, 2011). Classical control methods which include both open-loop and closedloop control is often the preferred approach due to simplicity of implementation and computational efficiency.…”

Section: Introductionmentioning

confidence: 99%

Semi Active Tuned Mass Dampers of Buildings: A Simple Control Option

Demetriou¹,

Nikitas²,

Tsavdaridis

2015

American Journal of Engineering and Applied Sciences

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Abstract:The present study investigates the effectiveness of a ProportionalIntegral-Derivative (PID) controlled Variable Damping Semi-Active Tuned Mass Damper (VD-STMD) on reducing the vibration response of an earthquake excited multi-storey structure. The effectiveness of the controlled system is evaluated by comparing the structure's overall dynamic behavior against that of an equivalent similar structure equipped with a conventional optimally designed passive Tuned Mass Damper (TMD). The numerical simulations show that the structure equipped with the PID controlled VD-STMD has improved vibration attenuation metrics when compared to the one equipped with the optimal TMD. From the numerical simulations, it was also evident that when material degradation and structural damage is considered, the TMD becomes instantly de-tuned resulting in reduced vibration mitigation performance. On the contrary, the VD-STMD controlled system remains insensitive to the stiffness parametric variation, suggesting the suitability of such systems in structural applications sustaining damage or in general change.

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References

2021

Metaheuristics for Structural Design and Analysis

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Active control of high rise building structures using fuzzy logic and genetic algorithms

Cited by 229 publications

References 17 publications

Investigating the optimal passive and active vibration controls of adjacent buildings based on performance indices using genetic algorithms

Investigating the optimal passive and active vibration controls of adjacent buildings based on performance indices using genetic algorithms

Semi Active Tuned Mass Dampers of Buildings: A Simple Control Option

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