Applied Mechanics and Materials Vol. 763

Abstract: We report on the implementation of a FPGA-based ultra-violet (UV), infra-red (IR) visible (Vis) CCD spectrometer using a linear CCD detector operating at room temperature. The host interface is high-speed USB for data exchange with high-level environments such as Visual Basic, MATLAB and LABVIEW. The high-resolution intensity versus wavelength output is 8-bit digitized for secondary processing using a semi-flash analogue-to-digital converter (ADC) capable of sustained sampling rates of 20Mb/s.

Abstract: The supporting structure of conveyor in a coal power generation plant located in marine environment, was experiencing severe filiform corrosion. The structure has been used since 2009. This supporting structure holds the conveyor for coal transportation from the ship to the turbine. From visual inspection, it was clearly seen that around 80 % of total area of the structure has been corroded, which influenced the strength of the structure. Hence damage evaluation of supporting structure was important to be carried out to determine the level of damage and to give the recommendation for repairment strategies. The damage evaluation method consisted of thickness measuring, chemical composition test, hardness test, microstructure analysis using replica technique and deposit analysis using SEM-EDS. The result showed that the type of material structure was AISI 1020. The highest reduction in measured thickness was 44 %, which occurred dominantly on bottom and top flange of the structure. It was also found that in some joint areas, the material was perforated. The deposit analysis using SEM EDS found that the type of coating used on steel structure was not suitable for the marine environment.

Abstract: A large number of factories have been sequentially established in Taiwan following the economic take-off several decades ago. However, this growth in number has led to the prevalence of fire hazards. Factory fires typically cause substantial casualties and property losses, and have therefore become a focal point for research. In the present study, the researchers employed the Fire Dynamics Simulator (FDS) software developed by the National Institute of Standards and Technology (NIST) to simulate and evaluate a factory fire scene in Taiwan. The fire continued for approximately 74 h, rendering this outbreak the single longest building fire and rescue in Taiwan. By analyzing relevant data, the researchers established a numerical model of the fire scene to simulate, evaluate, and analyze the influences that temperature, smoke conditions, and smoke layer height parameters had on the fire scene. The findings enabled the researchers to better understand the damage conditions that occur during fire outbreaks. The results of this case study can serve as a reference for designing and improving future fire prevention and safety plans.

Abstract: One of the widely used and most popular rehabilitation technics for trenchless sewer rehabilitation is currently CIPP (Cured-in-Place-Pipes) liners. This process was accelerated with the standardization of the CIPP liners and also due to intensive quality assurance which is highly developed especially in Germany. The quality control and quality assurance is generally ruled according EN ISO 11296-4 which is not fully sufficient as our research has shown.

Abstract: According to ICAO SHELL [1] model air traffic control (ATC) process may be described as complex structure. This structure involves human operator work that brings in the human factor problems. Those problems are caused by the psycho-physiological properties of human and require special treatment. Many efforts are applied to increase human stress resistance, improve working procedures and others. However one of the topics that are paid less attention is ATC operators personal attitude to risks. To determine ATC risk attitude it is important to work both with experienced operators and with ATC students to compare results and analyze them in dynamics.

Abstract: This paper is to demonstrate the use of MATLAB Object-Oriented Programming (OOP) for developing Multi-Train Movement Simulation (MTMS). Dynamic performance of the train movement is modeled with the help of Newton’s law of motion. Train movement in this work is based on a sequence of four operating modes: i) accelerating mode, ii) constant speed or cruising mode, iii) coasting mode and iv) braking mode. The design concept of a train movement class is described with its properties and methods. To evaluate its use, the proposed train movement simulator developed here is tested against Bangkok Transit System (BTS) – Sky Train Silom Line. This system has the service distance of 13-km and is fed by seven 750-V DC power sources through its 3rd rail. The results showed the effectiveness of the proposed simulator.

Abstract: One of the most exciting changes in Location-Based Services is the incredible growth of internet, development of wearable devices, and advanced positioning technologies. In addition, the big data from those sources helps performing seamless LBS as a technology. The existing processing methods used to detect the location of a particular tag, or specific device are not enough for complex processing while collecting all of the streaming data at the same time using a variety of wireless communication system [10,11,12,13]. We can use big data processing method for processing all the streaming data in real time. In this paper, we propose a framework for improving performance of Seamless LBS using NoSQL technology.

Abstract: In the paper a Bayesian method for conduction of a rescue operation for search of stationary and moving target is described. Using Monte-Carlo simulation, the method is compared to naïve search method that does not take into account the information obtained during the search efforts. Since the rescue operation often involve considerable expense, the Bayesian approach can significantly reduce the costs of the operation.

Abstract: Recently, a number of meshless techniques were proposed for solving convection-diffusion problems in arbitrarily shaped cavities. Unfortunately, most of them, including the finite difference or finite element methods, do not allow one to get a solution exactly satisfying boundary conditions for domains of irregular geometry. In this report a novel approach is proposed, which gives the possibility to avoid the necessity of constructing a complicated mesh in the neighborhood of the domain boundary. The technique is based on the R-function method combining the means of analytical geometry and projection techniques of mathematical physics, in particular the Galerkin method. Analytical expressions in the form of expansions in certain bases are obtained for the temperature, vorticity, and stream functions. Unlike other mesh and meshless techniques, these semi-analytical expressions satisfy boundary conditions exactly and approximate the temperature and velocity fields inside the cavity with accuracy depending on the number of terms of the expansion.

Abstract: In this paper presents a new hybrid methodology to perform fault detection and classification of aircraft structures using the tool as ARTMAP-Fuzzy and Perceptron multi-layer artificial neural networks. This method is divided into two steps, the first step performed by the multi-layer Perceptron neural network, which consists in the detection of abnormalities in the structure. The second step is performed by ARTMAP-Fuzzy neural network and consists of the classification of faults structural detected in the first time. The main application of this hybrid methodology is to assist in the inspection process of aeronautical structures in order to identify and characterize flaws as well, make decision-making in order to avoid accidents or air crashes. To evaluate this method, the modeling and simulation was carried out signals from a numerical model of an aluminum beam. The results obtained by the methodology demonstrating robustness and accuracy structural flaws.