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  1. Description
  2. Probabilistic seismic demand analysis of controlled steel moment‐resisting frame structures
  3. Structural Dynamics and Probabilistic Analyses for Engineers
  4. Shock and Vibration

Therefore, the relation between mass effectiveness and damping contribution is presented in Figure 7. The effective masses of 1. From Figure 7 , the linear trend fitting for the TMD controlling system is linear with , while the trend of the TLD fitting shows linear fitting with. This can occur because the behavior of lamped mass TMD is more accurate because of solid mass movement while for TLD the liquid moving inside to provide damping shows more complicated behavior and energy dissipation process. The linear fitting of the two systems is considered as a damping index to predict the performance of the controlling system before actual applications.

Accordingly, it is concluded that the TMD controlling system is more effective in the frequency and time domains than other controlling systems. Based on the previous analysis, the structure design prediction model with the TMD controlling system is considered in this section. From 4 , the AR model contains input parameters only without model error time delay.

The acceleration of the input loads and third-floor response measurements are considered as input parameters.

The third-floor response acceleration is utilized as an output parameter. Training the feedforward neural network like AR model and recurrent like ARMA model neural network is accomplished through iterative adjustments of the free parameters, that is, the weights and bias, of the network till we obtain the optimal values. There exist various learning algorithms, which are fundamental to the design of neural networks. The Levenberg-Marquardt learning algorithm is the most widely used algorithm for feedforward neural networks and recurrent neural network, which is used in this research [ 28 , 43 ].

Table 3 represents the statistical analysis for six trails of the model design for the AR and ARMA models with iterations and 5 hidden neurons. In addition, the results show that the recurrent identification models are more effective than the feed forward to predict the behavior of the controlled structures.

From this figure, it can be seen that the maximum error for the model is 0. This means that the ARMANN model is suitable for use as a tool to predict the behavior of controlled structures under dynamic loads. Structural vibration control is a challenging and important problem in the structural engineering.


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The passive and active controlling systems are being used for the vibration control of buildings under various seismic excitations. A novel application for the probabilistic evaluation is utilized to analyze the behavior of structures coupled with controlling systems. The results show that the probability analysis of the performance of the TMD and TLD controlling systems is seen closed in time and frequency domains. Two autoregressive models i.

The performances of two models are evaluated and the results showed that the ARMA model is more effective. The recurrent identifying models predict the behavior of the controlled structures in more accurate way. Evaluating the performance of the ARMANN model through experimental measurements showed that the model is a promising tool to predict the behavior of controlled structures under dynamic loads.

Description

The authors declare that there are no conflicts of interest regarding the publication of this paper. Shock and Vibration. Indexed in Science Citation Index Expanded. Journal Menu. Special Issues Menu. Subscribe to Table of Contents Alerts. Table of Contents Alerts. Mosbeh R. Abstract This study evaluates the performance of passively controlled steel frame building under dynamic loads using time series analysis.

Introduction In order to maintain structures safety and service, the application of controllers has been an important option for skyscrapers and important structure all over the world. Materials and Methods 2. Response Theory and Experimental Setup The mechanical configuration of a controlling system consists of a spring and a mass attached on the top of a multistory structure.

Table 1: Statistical parameters for the acceleration and displacement response. Table 2: WD parameters for the uncontrolled and controlled displacement measurement. Figure 5: Weibull distribution for the controlling systems. Figure 6: a Power spectrum density and b probability for the controlling systems.

References I. Arzeytoon, A. Golafshani, V. Toufigh, and H. Bigdeli and D. Wang and J. Marshall and F. Adeli and H.

Probabilistic seismic demand analysis of controlled steel moment‐resisting frame structures

View at Google Scholar F. Sakai, S. Takaeda, and T. Invitation in Cable-stayed Bridges , Fukuoka, Japan. Chen, T. Cao, L. Ma, and C. Kasai, M. Nakai, Y. Nakamura, H. Asai, Y. Suzuki, and M. Yang, A. Danielians, and S. View at Google Scholar S.


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    Structural Dynamics and Probabilistic Analyses for Engineers

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    Bhadauria, and S. Please review our Terms and Conditions of Use and check box below to share full-text version of article. Get access to the full version of this article. View access options below. You previously purchased this article through ReadCube. Institutional Login. Log in to Wiley Online Library. Purchase Instant Access. View Preview. Learn more Check out. Citing Literature. Volume 46 , Issue 4 10 April Pages Related Information. Close Figure Viewer. Browse All Figures Return to Figure. Previous Figure Next Figure. Email or Customer ID. He is author of two books one published by the AIAA and one by Elsevier , and a participant in another two edited books.

    He has more than 20 years of experience in stochastic crack propagation, and wrote numerous RAFAEL internal reports on the subject. We are always looking for ways to improve customer experience on Elsevier. We would like to ask you for a moment of your time to fill in a short questionnaire, at the end of your visit. If you decide to participate, a new browser tab will open so you can complete the survey after you have completed your visit to this website.

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    Shock and Vibration

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