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NDiarel Baidy Ba, Radhia Souissi, Faouzi Manai, Imad Khalil Taviche, Bochra Bejaoui, Mohamed Abdallahi Bagga and Fouad Souissi
Since 2004, the processing of the iron oxide?copper?gold (IOCG) ore of Guelb Moghrein, Akjoujt, Mauritania, has resulted in the generation of approximately 40 million tons of mine tailings. The storage of these tailings poses significant environmental ch...
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Matija Zvonaric, Mirta Ben?ic, Ivana Bari?ic and Tihomir Dok?anovic
The high stiffness of cement-bound aggregate (CBA) is recognized as its main drawback. The stiffness is described by the modulus of elasticity, which is difficult to determine precisely in CBA. Incorporating rubber in these mixtures reduces their stiffne...
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Chuan Xie, Weixing Yao, Danfa Zhou and Caijun Xue
The main concern of the paper is the concurrent treatment of size and layout variables in the static?dynamic coupled layout optimization of stiffened plates. As compared to size optimization alone, layout optimization is a more challenging task, and the ...
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Maximilian Granzner, Alfred Strauss, Michael Reiterer, Maosen Cao and Drahomír Novák
Railway noise barrier constructions are subjected to high aerodynamic loads during the train passages, and the knowledge of their actual structural condition is relevant to assure safety for railway users and to create a basis for forecasting. This paper...
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Ehsan Nikkhah, Antonio Carlos Fernandes and Jean-David Caprace
Online monitoring of mooring system response for the FPSO platform in any operational condition is so far challenging for machine learning (ML). This paper presents a new dynamic NARX ANN model for time series of mooring tension and a static MLP model fo...
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Wenping Du, Caiqian Yang, Hans De Backer, Chen Li, Kai Ming, Honglei Zhang and Yong Pan
The dynamic mechanical properties of recycled concrete (RC) and natural concrete (NC) were studied by impact tests and numerical simulation. The quasi-static tests were conducted by a servo-hydraulic machine, while the impact test used a 50 mm diameter s...
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A deep neural network-based approach of energy demand modeling of electric vehicles (EV) is proposed in this paper. The model-based prediction of energy demand is based on driving cycle time series used as a model input, which is properly preprocessed an...
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Roberto Agromayor and Lars O. Nord
Axial turbines are the most common turbine configuration for electric power generation and propulsion systems due to their versatility in terms of power capacity and range of operating conditions. Mean-line models are essential for the preliminary design...
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Giuseppe Daniele Di Martino, Carmine Carmicino, Stefano Mungiguerra and Raffaele Savino
The computational fluid dynamics of hybrid rocket internal ballistics is becoming a key tool for reducing the engine operation uncertainties and development cost as well as for improving experimental data analysis. Nevertheless, its application still pre...
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Qiang Zhang, Xiaoqian Chen, Yiyong Huang and Xiang Zhang
This paper investigates the fluidic leak rate through sealing contact surfaces by comparison between model calculation and experiment measurement. The focus is on an experimental device designed to measure the leak rate of the static seals with a simpler...
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