The Experts below are selected from a list of 2211 Experts worldwide ranked by ideXlab platform
Ping Yuan - One of the best experts on this subject based on the ideXlab platform.
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tree structure ensemble general regression neural networks applied to predict the molten steel temperature in Ladle Furnace
Advanced Engineering Informatics, 2016Co-Authors: Xiaojun Wang, Mingshuang You, Zhizhong Mao, Ping YuanAbstract:To control the molten steel temperature in a Ladle Furnace accurately, it is necessary to build a precise (i.e. accurate and good generalized) temperature prediction model. To solve this problem, ensemble modeling methods have been applied to predict the temperature. Now, in the production process, large-scale data with more helpful information are sampled, which provides possibilities to improve the precision of the temperature prediction. Although most of the existing ensemble temperature models have strong learning ability, they are not suitable for the large-scale data. In this paper, to solve the large-scale issue, the Tree-Structure Ensemble General Regression Neural Networks (TSE-GRNNs) method is proposed. Firstly, small-scale sample subsets are constructed based on the regression tree algorithm. Secondly, GRNN sub-models are built on sample subsets, which can be designed very quickly and cannot converge to poor solutions according to local minima of the error criterion. Then, the TSE-GRNNs method is applied to establish a temperature model. Experiments show that the TSE-GRNNs temperature model is more precise than the other existing temperature models, and meets the requirements of the RMSE and the maximum error of the molten steel temperature prediction in Ladle Furnace.
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Intervals prediction of molten steel temperature in Ladle Furnace
The 27th Chinese Control and Decision Conference (2015 CCDC), 2015Co-Authors: Ping Yuan, Xiaojun Wang, Wei SunAbstract:Temperature prediction is a key factor in the steel-making process control of Ladle Furnace because molten steel temperature can't be measured continually. To obtain the reliability of the temperature prediction model, a model based on single hidden layer feed-forward networks with extreme learning machine algorithm is applied to establish a model of steel temperature in the steel-making process Ladle Furnace. And a statistical method is used to construct the prediction intervals based on the simple calculation. The model misspecification variance and data noise variance are considered to obtain accurate prediction intervals. The efficiency of the method is verified by simulation.
Xiaojun Wang - One of the best experts on this subject based on the ideXlab platform.
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tree structure ensemble general regression neural networks applied to predict the molten steel temperature in Ladle Furnace
Advanced Engineering Informatics, 2016Co-Authors: Xiaojun Wang, Mingshuang You, Zhizhong Mao, Ping YuanAbstract:To control the molten steel temperature in a Ladle Furnace accurately, it is necessary to build a precise (i.e. accurate and good generalized) temperature prediction model. To solve this problem, ensemble modeling methods have been applied to predict the temperature. Now, in the production process, large-scale data with more helpful information are sampled, which provides possibilities to improve the precision of the temperature prediction. Although most of the existing ensemble temperature models have strong learning ability, they are not suitable for the large-scale data. In this paper, to solve the large-scale issue, the Tree-Structure Ensemble General Regression Neural Networks (TSE-GRNNs) method is proposed. Firstly, small-scale sample subsets are constructed based on the regression tree algorithm. Secondly, GRNN sub-models are built on sample subsets, which can be designed very quickly and cannot converge to poor solutions according to local minima of the error criterion. Then, the TSE-GRNNs method is applied to establish a temperature model. Experiments show that the TSE-GRNNs temperature model is more precise than the other existing temperature models, and meets the requirements of the RMSE and the maximum error of the molten steel temperature prediction in Ladle Furnace.
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Intervals prediction of molten steel temperature in Ladle Furnace
The 27th Chinese Control and Decision Conference (2015 CCDC), 2015Co-Authors: Ping Yuan, Xiaojun Wang, Wei SunAbstract:Temperature prediction is a key factor in the steel-making process control of Ladle Furnace because molten steel temperature can't be measured continually. To obtain the reliability of the temperature prediction model, a model based on single hidden layer feed-forward networks with extreme learning machine algorithm is applied to establish a model of steel temperature in the steel-making process Ladle Furnace. And a statistical method is used to construct the prediction intervals based on the simple calculation. The model misspecification variance and data noise variance are considered to obtain accurate prediction intervals. The efficiency of the method is verified by simulation.
Yuanping - One of the best experts on this subject based on the ideXlab platform.
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Tree-Structure Ensemble General Regression Neural Networks applied to predict the molten steel temperature in Ladle Furnace
Advanced Engineering Informatics, 2016Co-Authors: Wangxiaojun, Youmingshuang, Maozhizhong, YuanpingAbstract:To control the molten steel temperature in a Ladle Furnace accurately, it is necessary to build a precise (i.e. accurate and good generalized) temperature prediction model. To solve this problem, e...
Juan M. Manso - One of the best experts on this subject based on the ideXlab platform.
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Ladle Furnace slag in asphalt mixes
Construction and Building Materials, 2016Co-Authors: Marta Skaf, Vanesa Ortega-lópez, José A. Fuente-alonso, Amaia Santamaría, Juan M. MansoAbstract:Abstract Ladle Furnace Slag (LFS) may be used in substitution of fine aggregate (2–0.063 mm), and filler ( Mechanical behavior, moisture susceptibility and durability are all tested. The results report the performance of the LFS mixtures, which showed compliance with the specifications of the relevant standards and no significant differences from those made of natural aggregates and cement.
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the use of Ladle Furnace slag in soil stabilization
Construction and Building Materials, 2013Co-Authors: Juan M. Manso, Juan A. Polanco, Vanesa Ortegalopez, J SetienAbstract:Abstract Natural clayey soils have often to be stabilized by mixing them with certain materials, such as cement, lime, or similar products, so that they acquire the necessary properties for civil works. Some industrial by-products can also be used for this purpose, among which steelmaking slags. Our research studies the properties of Ladle Furnace Slag (LFS) and the characteristics of several clayey soils susceptible to improvement with additions of this by-product. The behaviour of the different soil and slag mixes was similar to the behaviour of the soil and lime mixtures reported in the literature. The results of a series of test report improvements in various geotechnical properties, such as the plasticity index, expansiveness, bearing capacity and durability.
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The durability of masonry mortars made with Ladle Furnace slag
Construction and Building Materials, 2011Co-Authors: Juan M. Manso, Ángel Rodríguez, Ángel Aragón, Javier GonzálezAbstract:Abstract Ladle Furnace basic slag is a by-product of the steelmaking industry. This study examines the properties of masonry mortars made with Ladle Furnace basic slag and the other conventional components such as sand, cement, and admixtures. Eight different mixes were prepared and the main properties of the resulting mortars were analysed: density, strength, porosity, microstructure and permeability. The porosity of the hardened mixes was studied by means of two complementary techniques: mercury intrusion porosimetry and computerised X-ray tomography. Finally, tests were performed to analyse the behaviour of the mixes exposed to standard detrimental agents such as frost, moisture and sulphates, as well as other special environments, such as saline water or sulphidic atmospheres. The results show that the presence of Ladle Furnace slag does not damage and even contributes to increasing mortar durability. Its use also decreases or eliminates volumetric contraction during mortar ageing, thereby improving certain masonry applications.
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strength and workability of masonry mortars manufactured with Ladle Furnace slag
Resources Conservation and Recycling, 2009Co-Authors: Ángel Rodríguez, Juan M. Manso, Ángel Aragón, Javier GonzálezAbstract:Ladle Furnace basic slag (LFS) is a by-product of the steelmaking process. It has rarely been recovered in the past and is usually disposed of in landfill sites. Despite containing stable chemical substances of great quality, some of which are potentially hydraulic, its practical applications have been limited. This paper discusses the attractive option of using LFS in the manufacture of masonry mortars for use in the construction industry, which requires an analysis of the principal characteristics of such mortars, i.e. workability and mechanical strength. It reports on a comparative study, using standard commercial admixtures, between conventional masonry mortars and mortars manufactured with LFS as a partial replacement for sand and cement, the results of which imply considerable economic savings in sand and cement, improvements in the properties of the mortars and in overall sustainability, by avoiding disposal and conserving natural resources.
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Ladle Furnace Slag in Construction
Journal of Materials in Civil Engineering, 2005Co-Authors: Juan M. Manso, M.m. Losañez, Juan A. Polanco, Javier GonzálezAbstract:Ladle Furnace reducing slag is a common byproduct in steelmaking of carbon and low alloy steels. After air cooling and weathering over several days, this material is completely ground into fine white particles. Physical, chemical, and crystalline characterizations were performed in order to verify possibilities for its direct application as a construction material. Two ways are proposed for the immediate use of Ladle Furnace slag: masonry mortars and paving mixes for rural roads with low levels of traffic.
J Setien - One of the best experts on this subject based on the ideXlab platform.
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Ladle Furnace slag in the construction of embankments expansive behavior
Journal of Materials in Civil Engineering, 2013Co-Authors: J M Montenegro, M Celeminmatachana, J Canizal, J SetienAbstract:AbstractThis paper examines the use of Ladle Furnace steelmaking slag (LFS) as a material for the construction of embankments in civil works. It reports the chemical, mineralogical, and geotechnical properties of two soils, two LFS, and various mixtures thereof, in addition to their volumetric stability. The findings show that lengthy periods of time are required to achieve the potential expansion of LFS because of the hydration of certain aluminates and calcium oxide in addition to the slow hydrocarbonation reactions of magnesium oxide. The expansion test on the soil-LFS mixtures revealed slight swelling, attributable to the pozzolanic reactions of clay minerals with portlandite and brucite in addition to accommodation within the soil-slag pore structure. The cation exchange capacity of clay minerals affects the interaction between soil and LFS; minerals such as montmorillonite, with a high cation exchange capacity, improve the California bearing ratio and reduce the potential expansion. Not all soils ar...
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the use of Ladle Furnace slag in soil stabilization
Construction and Building Materials, 2013Co-Authors: Juan M. Manso, Juan A. Polanco, Vanesa Ortegalopez, J SetienAbstract:Abstract Natural clayey soils have often to be stabilized by mixing them with certain materials, such as cement, lime, or similar products, so that they acquire the necessary properties for civil works. Some industrial by-products can also be used for this purpose, among which steelmaking slags. Our research studies the properties of Ladle Furnace Slag (LFS) and the characteristics of several clayey soils susceptible to improvement with additions of this by-product. The behaviour of the different soil and slag mixes was similar to the behaviour of the soil and lime mixtures reported in the literature. The results of a series of test report improvements in various geotechnical properties, such as the plasticity index, expansiveness, bearing capacity and durability.
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Characterization of Ladle Furnace basic slag for use as a construction material
Construction and Building Materials, 2009Co-Authors: J Setien, D. Hernández, Javier GonzálezAbstract:Abstract The use of Ladle Furnace basic slag (LFS) as a cementitious material in industrial applications requires an in-depth knowledge of its characteristics. This paper presents the data characterizations of several kinds of LFS, setting out referential values for their use in construction and civil engineering applications that refer to chemical, mineralogical and microstructural data as well as to thermal and infrared analytical results. The aim is to provide a detailed overview of this material for anyone with an interest in gaining further knowledge of its specific properties for application as a construction material.
