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Influence of boundary conditions on the behavior of laminated glass curved beam with delamination effect: An experimental and numerical investigation

Ebru DURAL

Article | 2024 | Heliyon10 ( 3 )

The delamination phenomena of laminated glass structures are issues that are not perfectly understood and remain problematic to predict due to the nonlinearity of the geometric response. A research study is undertaken to investigate the behavior of laminated glass curved beams with initial delamination exposed to different boundary conditions. A mathematical model which contains nonlinear field equations and boundary conditions is developed. An iterative procedure for the solution of field equations is implemented. In addition, experiments are conducted and finite element model is developed to determine the effectiveness of model. T . . .he results are in good agreement. These results contribute to a better understanding of the complex response phenomena exhibited by curved laminated glass beams subjected to initial delaminations. Research findings allow a better insight in the behavior of the delamination in laminated glass, including the deflections and stresses. Based on the developed model it is possible to determine the effects of position and size of delaminations on the behavior of laminated glass curved beams under different boundary conditions. Keywords: curved beam; delamination; laminated glass; nonlinear behavio More less

Delamination Resistance of Laminated Glass Plates Having Ethyl Vinyl Acetate, Polyvinyl Butyral and Sentryglas Plus Interlayers

Ebru DURAL

Proceedings Paper | 2024 | Mathematical Methods for Engineering Applications439

Laminated glass is produced by laminating glass layers with an interlayer at specified pressure and temperatures using an autoclave. The characteristic properties of laminated glass can be affected considerably by the used interlayers. Polyvinyl Butyral, Ethyl Vinyl Acetate and SentryGlass are three common interlayers used by glass manufacturers. In order to select the appropriate interlayer parameters such as blast performance, availability, cost, durability, optical property and manufacturing equipment should be considered. Usage of laminated glass is expanding due to its safety and security property as well as comfort and design. . . . As a consequence of possess superiority of laminated glass for structural applications in various industries, they strengthen their position between building materials. Nevertheless delamination which may be result of manufacturing process and service is regarded the primary concern and most undesirable failure mode for the analysis of laminated glass unit. For that cause it is hot research area of composite industry. Delamination strength of laminated glass with the mentioned three types of interlayers are presented in the current research. A mathematical model is presented to analyze delamination behavior of laminated glass plate. Five nonlinear equations are written in matrix form. Solution of matrix system is obtained by using special matrix solvers and successive over relaxation method is used to overcome the convergence problems. Deflection and stress values which represent mechanical behavior of unit are presented in figures. In order to carry out validation assumptions of model the finite element model was constituted. A good fit between the results is observed. Keyword: Delamination; EVA; Laminated glass; PVB; SG More less

Real time traffic signal timing approach based on artificial neural network

Abdullah Erdal TÜMER

Article | 2020 | MANAS Journal of Engineering (MJEN)8 ( 1 )

As the population increases, is more and more increasing the number of vehicles in cities. The increasing number of vehicle make traffic management complicated. Difficult traffic management leads to more fuel consumption, CO2 and other harmful emissions. Therefore, real-time optimization of traffic lights (signaling) used in traffic management can make traffic management more efficient. In this study, green light time is optimized by estimating the number of vehicles in an intersection with signal lights in Konya city center through artificial neural network. The results are evaluated with different performance criteria and it has b . . .een shown that the developed estimation model can be successfully used to optimize the green light durations More less

Effect of delamination size, location and boundary conditions on the behavior of a laminated glass plate

Ebru DURAL

Article | 2022 | Structures47

Laminated glass is made by combining glass layers with polyvinyl butyral (PVB) or a different adhesive with the help of heat and pressure. Its popularity is increasing in the building industry as a protective material. However, despite the popularity of laminated glass as a structural material, delamination is recognized as a highly undesirable problem inducing major damage to laminated glass. The effect of boundary conditions on the delamination strength of laminated glass is observed in this study. It is concluded that the location and size of delamination have a considerable effect in determining the delamination strength of lami . . .nated glass. The results of the previously conducted experiment and the developed finite element model are utilized to validate the model used to determine the delaminated strength of laminated glass. The simulation results and measurements are in good agreement with the results of the mathematical model. The results of the current research can be utilized by design engineers while designing laminated glass for structural applications More less

Deep Learning Method for Handwriting Recognition

Abdullah Erdal TÜMER

Article | 2021 | MANAS Journal of Engineering (MJEN)9 ( 1 )

The advancement of technology nowadays resulted into documents, such as forms and petitions, being filled out in computer and digital environment. Yet in some cases, documents are still preserved in traditional style, on print. Due to its distinct proportions, however, its storage, sharing and filing has become a complication. The relocation of these written documents to digital environment is therefore of great significance. In this view, this study aims to explore methodologies of digitizing handwritten documents. In this study, the documents converted to image format were pre-processed using image processing methods. These operat . . .ions include dividing lines of the document into image format, dividing into words which then divided into characters, and finally, a classification operation on the characters. As classification phase, one of the deep learning methods is the Convolution Neural Network method is used in image recognition. The model was trained using the EMNIST dataset, and in the character, dataset created from the documents at hand. The dataset created had a success rate of 87.81%. Characters classified as finishers are sequentially combined and the document is transferred to the computer afterwards More less

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