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Arjun Ravikumar, Paul Rostron, Nader Vahdati and Oleg Shiryayev
Low-carbon steel is widely used in industrial pipelines, and corrosion studies are focused mostly on erosion-corrosion, its prediction and control. In this paper, the corrosion rate in pipelines is modeled using a flow loop and measured by linear polariz...
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Ki-Chun Park, Van-Quang Nguyen, Jung-Hyun Kim, Duhee Park and Byoung-Han Choi
The settlement at the dam crest induced by earthquake loading is an important design parameter widely used to evaluate the seismic performance of dams. Two-dimensional nonlinear dynamic analyses were performed to calculate the dam crest settlement of ear...
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Anastasios Katsileros, Nikolaos Antonetsis, Maria-Georgia Gkika, Eleni Tani, Penelope J. Bebeli and Ioannis Tokatlidis
The Honeycomb Selection Design (HSD) is an innovative experimental method whose main feature is the even and systematic entry arrangement. Its systematicity, if combined with the absence of inter-plant competition that maximizes the phenotypic expression...
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Kwang-Ho Lee and Yong-Hwan Cho
Breaking waves generated by wave shoaling in coastal areas have a close relationship with various physical phenomena in coastal regions. Therefore, it is crucial to accurately predict breaker indexes such as breaking wave height and breaking depth when d...
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Stefania Bilardi, Domenico Ielo and Nicola Moraci
Predictive models able to provide a reliable estimate of hydraulic conductivity can be useful in various geotechnical applications. Since most of the existing predictive methods for saturated hydraulic conductivity estimation are valid only for a limited...
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Alexander Landa, John E. Klepeis, Robert E. Rudd, Kyle J. Caspersen and David A. Young
The presented analytical expression for the atomic volume of the binary alloys at arbitrary composition can be used in the equation of state modeling. This expression is robust and predictive even in the absence of experimental data at a particular alloy...
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Eyad K. Sayhood, Nisreen S. Mohammed, Salam J. Hilo and Salih S. Salih
This paper presents comprehensive empirical equations to predict the shear strength capacity of reinforced concrete deep beams, with a focus on improving the accuracy of existing codes. Analyzing 198 deep beams imported from 15 existing investigations, t...
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Yusi Zhou, Nailong Wu, Haodong Yuan, Feng Pan, Zhiyong Shan and Chao Wu
In this paper, an intelligent control scheme of formation collision avoidance and iterative docking is proposed for full-actuated unmanned surface vehicles (USVs). The artificial potential field method is integrated into the partial differential equation...
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Milan Brankovic and Mark E. Everett
Forward modeling plays a key role in both the creation of predictive models and the study of the surrounding environment through inversion methods. Due to their competitive computational cost and modest algorithmic complexity, finite difference methods (...
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Cheng Liu, Ting Sun and Qizhi Hu
Underway replenishment is essential for ships performing long-term missions at sea, which can be formulated into the problem of leader-tracking configuration. Not only the position and orientation but also the velocities are required to be controlled for...
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Rubén Trigueros, Ana Padilla, José M. Aguilar-Parra, Isabel Mercader, Remedios López-Liria and Patricia Rocamora
Currently, the university failure rate is around 33% of students starting their studies. Among the main reasons are demanding academic situations and the use of inappropriate coping strategies. Therefore, the aim of this study was to analyze the influenc...
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Xiaohui Yan and Abdolmajid Mohammadian
A new approach based on the multigene genetic-programming (MGGP) technique is proposed to predict initial dilution of vertical buoyant jets subjected to lateral confinement. The models are trained and tested using experimental data, and the good matches ...
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In this paper, an improved model predictive control (MPC) is proposed for the matrix converter (MC). First, the conventional MPC which adopts the separately discretized prediction models is discussed. It shows that the conventional MPC ignores the input&...
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Gustavo Dambiski Gomes de Carvalho,João Luiz Kovaleski,Hélio Gomes de Carvalho,Rúbia Oliveira Corrêa,Carla Cristiane Sokulski,Jorge Luciano Gil Kolotelo
Pág. 217 - 231
By means of the Local Innovation Agents (LIA) Program, the Brazilian Micro and Small Business Support Service (SEBRAE) has conveyed innovation to Brazilian micro and small businesses (MSBs). Within this setting, this paper aims to analyze the impact of o...
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Garrison Sposito
Pág. 1 - 14
The Budyko equation has achieved iconic status in hydrology for its concise and accurate representation of the relationship between annual evapotranspiration and long-term-average water and energy balance at catchment scales. Accelerating anthropogenic l...
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Garrison Sposito
The Budyko equation has achieved iconic status in hydrology for its concise and accurate representation of the relationship between annual evapotranspiration and long-term-average water and energy balance at catchment scales. Accelerating anthropogenic l...
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Shahin Khosharay, Naser Rezakhani
Pág. 282 - 289
The main aim of this modeling investigation is to improve the performance of the gradient theory for binary systems of methane and n-alkane. To achieve this aim, the gradient theory (GT) is combined with the volume-translated Peng-Robinson equation of st...
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Guilherme Arielo Rodrigues Maia, Sandra Regina Masetto Antunes, Pedro Henrique Weirich Neto, Silvia Borba, Rodolfo Lopes Coppo, Dionísio Borsato
Pág. 699 - 705
The objective of this research is to determinate the optimum conditions for the alcoholic fermentation process of aqueous jerivá pulp extract using the response surface methodology and simplex optimisation technique. The incomplete factorial design 3³ wa...
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Mariano Buccino, Davide Banfi, Diego Vicinanza, Mario Calabrese, Giuseppe Del Giudice and Armando Carravetta
The Seawave Slotcone Generator (WAVEnergy SAS, 2003) is a wave energy converter based on the overtopping principle. Although it has been effectively researched during the last decade, no design tool has been supplied to estimate the hydrodynamic loads th...
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Qianyang Li and Xingjun Zhang
For time series forecasting, multivariate grey models are excellent at handling incomplete or vague information. The GM(1, N) model represents this group of models and has been widely used in various fields. However, constructing a meaningful GM(1, N) mo...
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