1,720,972 research outputs found
DYNAMIC PARAMETERS DETERMINATION OF CONCRETE TERRACE WALL WITH SYSTEM IDENTIFICATION USING ANN
No full textCivil engineering structures have been adversely affected by dynamic effects from past to present. This has always been a problem for civil engineering. Civil engineers strive to design structures to be least affected by dynamic effects. The biggest challenge in these designs is the exact and realistic calculation of the effect of dynamic effects on the structure. There are various methods for calculating the dynamic effects affecting the structures. System identification method is one of the methods used to calculate the responses of the building to the dynamic effects affecting the buildings
ARTIFICIAL NEURAL NETWORK BASED SYSTEM IDENTIFICATION USAGE FOR STEEL SHEDS
Get PDFCivil engineering structures have been adversely affected by dynamic effects from past to present. This has always been a problem for civil engineering. Civil engineers strive to design structures to be least affected by dynamic effects. The biggest challenge in these designs is the exact and realistic calculation of the effect of dynamic effects on the structure. There are various methods for calculating the dynamic effects affecting the structures. System identification method is one of the methods used to calculate the responses of the building to the dynamic effects affecting the buildings. On the other hand, today artificial intelligence is used in many areas as well as in system identification method. For these reasons, Artificial Neural Network (ANN) has been used in the system identification method in this study. The system definition was made with a success rate of approximately 0.99 using steel shed as an example model. As a result of this study, The Artificial Neural Network (ANN) approach can provide a very fast and true tool to solve problem in modal identification studies. The Artificial Neural Network (ANN) method can also be used to determine dynamic parameters of structures
The eigensensitivity-based finite element model updating for structural parameter identification
No full textARTIFICIAL NEURAL NETWORK BASED SYSTEM IDENTIFICATION USAGE FOR STEEL SHEDS
No full textCivil engineering structures have been adversely affected by dynamic effects from past to present. This has always been a problem for civil engineering. Civil engineers strive to design structures to be least affected by dynamic effects. The biggest challenge in these designs is the exact and realistic calculation of the effect of dynamic effects on the structure. There are various methods for calculating the dynamic effects affecting the structures. System identification method is one of the methods used to calculate the responses of the building to the dynamic effects affecting the buildings. On the other hand, today artificial intelligence is used in many areas as well as in system identification method. For these reasons, Artificial Neural Network (ANN) has been used in the system identification method in this study. The system definition was made with a success rate of approximately 0.99 using steel shed as an example model. As a result of this study, The Artificial Neural Network (ANN) approach can provide a very fast and true tool to solve problem in modal identification studies. The Artificial Neural Network (ANN) method can also be used to determine dynamic parameters of structures
MIMO SYSTEM IDENTIFICATION OF INDUSTRIAL BUILDING USING N4SID WITH AMBIENT VIBRATION
No full textThe engineering buildings are industrial buildings that have high construction costs and are difficult to construct. In addition, these industrial buildings must be in safe condition both in terms of production contributions and the health of employees and should be under constant supervision. It is known that both economic and life losses in such structures will be higher. These structures constantly vibrate under internal and external loads and deform. Temperature changes and material fatigue as internal forces, wind loads as external forces, traffic loads, moving loads of machinery and equipment and earthquakes have negative effects on industrial buildings. For all these reasons, mathematical model should be put forward experimentally and in place by making system definition in industrial buildings. In this study, industrial building was used. In this study, Multi input-multi output (MIMO) system identification method was used. Results demonstrated that N4SID multi input-multi output (MIMO) system identification method is efficient and accurate in identifying modal data of the industrial buildings
INVESTIGATION OF STEEL SLIT PANEL EFFECT ON MODAL PARAMETERS OF REINFORCED CONCRETE STRUCTURE BY FINITE ELEMENT METHOD
Get PDFThe destructive effects of seismic loads on structures are known. Earthquake engineers have taken many precautions in their building designs to protect and minimize these destructive effects. In this way, many new design and reinforcement methods have been developed against seismic loads. The use of a steel slit panel (SSP) is one of the developed methods. Therefore, in this study, the effects of SSP on dynamic performance in a 5-storey reinforced concrete building model were investigated. For this, two models with and without SSP were created by the finite element method and modal parameters were compared. As a result of the data obtained, it has been observed that the building model makes more balanced displacements, as can be understood from the mode shapes. In addition, the SSP model made the structure more rigid by reducing the periods of the structure. It can be used in SSP prestressed reinforced concrete structures
INVESTIGATION OF THE TUNED LIQUID WALL DAMPER CONTRIBUTION TO THE DYNAMIC PARAMETERS OF THE PRESTRESSED REINFORCED CONCRETE STRUCTURE USING FEM
Get PDFThe destructive effects of seismic loads on structures are known. Earthquake engineers have taken many precautions in their building designs to protect and minimize these destructive effects. In this way, many new design and reinforcement methods have been developed against seismic loads. The use of a tuned liquid wall damper (TLWD) is one of the developed methods. Therefore, in this study, the effects of TLWD on dynamic performance in a 6-storey prestressed reinforced concrete building model were investigated. For this, two models with and without TLWD were created by the finite element method and modal parameters were compared. As a result of the data obtained, it has been observed that the building model makes more balanced displacements, as can be understood from the mode shapes, without increasing the period of the building to a dangerous level. TLWD reduced the seismic effect by on the structure. It can be used in TLWD prestressed reinforced concrete structures
Analytical and Experimental Investigation on the Modal Properties of Scaled Concrete Retaining Wall
No full textIn this study was investigated of possibility using the recorded micro tremor data on ground level as ambient vibration input excitation data for determination and application Operational Modal Analysis (OMA) for scaled concrete retaining wall. As known OMA methods (such as FDD, EFDD, SSI-UPC/SSI-PC/SSI-CVA and so on) are supposed to deal with the ambient responses. For this purpose, analytical and experimental modal analysis of a scaled concrete retaining wall for modal properties was evaluated. 3D Finite element model of the building was evaluated SAP2000 for the scaled concrete retaining wall based on the design drawing. Ambient excitation was provided from the recorded micro tremor ambient vibration data on ground level. Enhanced Frequency Domain Decomposition (EFDD) is used for the output only modal identification. From this study, very best correlation is found between mode shapes and frequencies. Natural frequencies and analytical frequencies in average (only) %2.58 are differences
Nonlinear System Identification of Wpc Terrace Wall with Hammerstein-wiener Model Using Ambient Vibration
No full textToday, many advances in engineering field have been and are being made. Especially the predictions of the strengths and behavior of the models designed against external factors are of great importance. Elimination of negative effects and necessary updates on the model or in other words, strengthening works play the biggest role in the design stages. In addition to all these, the dynamically influenced situations of existing structures should be revealed. New methods have been developed for this and similar reasons. System identification is one of these methods. System identification is simply the estimation of the mathematical model of the building from the input and output vibration data obtained through the structures. Thanks to the predicted mathematical model, the reactions of the building to dynamic effects can be predicted. The aim of this study is to reveal the mathematical model of the WPC terrace wall with the nonlinear system identification method. Finally, nonlinear system identification of the WPC terrace wall results demonstrated that fit to estimation data was nearly 100 % and it can be concluded that Hammerstein–Wiener system identification method is efficient and accurate in identifying mathematical model of the WPC terrace wall
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