#Fdtd method update
#Fdtd method portable
#Fdtd method tv

Using a portable vibrator and laser vibrometer, local through-thickness vibration tests were conducted on specimens of concrete beams and a railway track containing voids. In this study, the effectiveness of local vibration testing using a portable scanner and machine learning for non-destructive inspection of concrete structures was examined. The analysis of the documentation, the geometrical survey and the visual and experimental investigations have been utilised to define its level of knowledge, and to calibrate a numerical model for vulnerability evaluation. The building is located in a seismic area and is utilised as a church. The present paper discusses the performed investigations and the defined numerical model for the evaluation of the safety level of a masonry structure characterised by two floors, by the presence of wooden roofs and masonry vaults at the first level, and by a pitched roof whose elements are made of wood. All these aspects make quite difficult the evaluation of the safety level of masonry structure, and several approaches are still debated for the definition of accurate numerical models for seismic assessment purpose. Moreover, during their long service life these buildings have been subjected to damage, degradation, and interventions to adapt them to the new performance demands. They were built based on the empirical expertise of their constructors, and, therefore, are characterised by several construction solutions, different materials, and a high vulnerability to earthquakes. In Europe, a significant part of the existing building stock is composed by masonry structures, and, in many cases, these structures are located in seismic areas. The results obtained in this paper prove that the proposed approach can predict damaged stories with high reliability and acceptance error. This process will implement continuously until finding the damaged values that agree with the objective function with the minimum error.

#Fdtd method tv

The process of calculating the objective function during the course of iterations is based on the reduced-order finite element model of a real 3D tower named Guangzhou New TV Tower (GNTT) to extract the frequencies at each iteration. Then, an effective optimization algorithm named the Atom search algorithm (ASO) is employed to minimize the objective function, which accounts for variables related to stiffness reduction in the structures.

First, Root-Mean-Square-Error (RMSE), which registers the differences between frequencies at two states damaged stage and undamaged stage, is used to establish the objective function. The key factor of this approach is based on the model updating and inverse method. In this paper, an effective approach is presented for solving damage identification problems. The final result shows that BCMO has comprehensively updated the model with a high level of accuracy, thus could be potential used to solve practical problems of lifeline structures.

#Fdtd method update

BCMO is applied to update the different parameters of the baseline numerical model of Chuong Duong bridge, followed by comparing the obtained dynamic properties of the updated bridge with the measured one. BCMO is a newly developed meta-heuristic optimization algorithm based on individualвЂ™s balancing composite motion properties which has proved to provide highly-accurate result in determining the optimal solution in mathematical problem. In this paper, we proposed a new approach to model updating of Chuong Duong bridge using vibration-based measurement data and Balancing Composite Motion Optimization (BCMO). Physical and numerical evaluation of the bridge is required for the maintenance process. Being built in the 80s of the twentieth century, after nearly 40В years of service, degradation and damages have threatened the integrity and safety of the structure. Located in the heart of Hanoi (Vietnam), Chuong Duong bridge is a major truss bridge that connects one of the most heavily trafficked routes in the country-the 1A National road.