1,720,965 research outputs found
THE EFFECT OF PTMD ON THE MODAL PARAMETERS OF THE WATER TANK BY FINITE ELEMENT METHOD
Earthquake engineers have taken many precautions in their building designs to protect and minimize destructive effects. In this way, many new design and reinforcement methods have been developed against seismic loads. The use of a pendulum tuned mass damper (PTMD) is one of the developed methods. One of the most important negative aspects of the use of PTMD is the increase in the structural period. Therefore, in this study, the effects of PTMD on periods and mode shapes in symmetrically reinforced concrete water tank model were investigated. For this, two models with and without PTMD 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 water tank model makes more balanced displacements, as can be understood from the mode shapes, without increasing the period of the water tank to a dangerous level. It is known that PTMD reduces the seismic effect by acting in the opposite direction to the seismic effect on the structure. Pendulum tuned mass damper can be used in reinforced concrete water tanks, provided that it does not increase period too much
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
ARTIFICIAL NEURAL NETWORK BASED SYSTEM IDENTIFICATION USAGE FOR STEEL SHEDS
Civil 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
The 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
DYNAMIC PARAMETERS DETERMINATION OF CONCRETE TERRACE WALL WITH SYSTEM IDENTIFICATION USING ANN
Civil 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
Civil 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
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
THE EFFECT OF AMD ON THE MODAL PARAMETERS OF THE REINFORCED CONCRETE BUILDING BY FINITE ELEMENT METHOD
Earthquake engineers have taken many precautions in their building designs to protect and minimize destructive effects. In this way, many new design and reinforcement methods have been developed against seismic loads. The use of an active mass damper (AMD) is one of the developed methods. One of the most important negative aspects of the use of AMD is the increase in the structural period. Therefore, in this study, the effects of AMD on periods and mode shapes in symmetrically reinforced concrete building model were investigated. For this, two models with and without AMD 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 RC building model makes more balanced displacements, as can be understood from the mode shapes, without increasing the period of the RC building to a dangerous level. It is known that AMD reduces the seismic effect by acting in the opposite direction to the seismic effect on the structure. Active mass damper can be used in reinforced concrete buildings, provided that it does not increase period too much
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