The Experts below are selected from a list of 102 Experts worldwide ranked by ideXlab platform

T. J. Ibell - One of the best experts on this subject based on the ideXlab platform.

  • Design of Continuous FRP-Strengthened Concrete Structures Allowing Moment ReDistribution
    2020
    Co-Authors: P. F. Silva, T. J. Ibell
    Abstract:

    The use of fiber-reinforced polymer (FRP) composites is now a widely-accepted solution for the strengthening of reinforced concrete structures. FRP strengthening schemes offer many welldocumented benefits for the retrofit of many existing concrete buildings and bridges. However, the main drawback in using FRP for such purposes is the reduction in ductility that the strengthened structure displays after strengthening. This loss in ductility has led various design guidelines around the world to prohibit any reDistribution of bending moments in continuous FRP-strengthened concrete structures. This means that continuous structures, which might have been designed, originally under assumptions of moment reDistribution, should be designed for FRP strengthening according to Elastic Distribution of bending moment. This could lead to onerous conditions for such strengthening schemes, particularly in hogging regions. This paper sets out a rationale for the possible appropriate use of reDistribution principles for FRPstrengthened concrete.

  • A theoretical strategy for moment reDistribution in continuous FRP-strengthened concrete structures
    Advanced Polymer Composites for Structural Applications in Construction, 2020
    Co-Authors: T. J. Ibell, P. F. Silva
    Abstract:

    The use of fiber-reinforced polymer (FRP) composites is now a widely-accepted solution for the strengthening of reinforced concrete structures. FRP strengthening schemes offer many well-documented benefits for the retrofit of many existing concrete buildings and bridges. However, the main drawback in using FRP for such purposes is the reduction in ductility that the strengthened structure displays after strengthening. This loss in ductility has led various design guidelines around the world to prohibit any reDistribution of bending moments in continuous FRP-strengthened concrete structures. This means that continuous structures, which might have been designed originally under assumptions of moment reDistribution, should be designed for FRP strengthening according to Elastic Distribution of bending moment. This could lead to onerous conditions for such strengthening schemes, particularly in hogging regions. This paper sets out a rationale for the possible appropriate use of reDistribution principles for FRP-strengthened concrete.

  • Evaluation of moment Distribution in continuous fiber-reinforced polymer-strengthened concrete beams
    ACI Structural Journal, 2008
    Co-Authors: P. F. Silva, T. J. Ibell
    Abstract:

    Fiber-reinforced polymer (FRP) strengthening offers many well-documented benefits for the retrofit of existing reinforced concrete (RC) structures. The main drawback in using FRP for such applications, however, is the reduction in ductility capacity after strengthening. This loss in ductility has led worldwide codes to not consider reDistribution of bending moments in continuous FRP-strengthened RC beams. This implies that an unstrengthened continuous RC beam that was previously designed under assumptions of moment reDistribution (MR) and is to be strengthened with FRP must now be redesigned according to full Elastic Distribution of bending moments. This could lead to onerous conditions in such strengthening applications. This paper sets out a rationale for the possible appropriate use of reDistribution principles for FRP-strengthened beams. Analytical results show that if a section can develop a curvature ductility capacity greater than 2.0, it is likely that reDistribution in the order of at least 7.5% can be achieved. These results are presented and further discussed in this paper. © 2008, American Concrete Institute.

P. F. Silva - One of the best experts on this subject based on the ideXlab platform.

  • Design of Continuous FRP-Strengthened Concrete Structures Allowing Moment ReDistribution
    2020
    Co-Authors: P. F. Silva, T. J. Ibell
    Abstract:

    The use of fiber-reinforced polymer (FRP) composites is now a widely-accepted solution for the strengthening of reinforced concrete structures. FRP strengthening schemes offer many welldocumented benefits for the retrofit of many existing concrete buildings and bridges. However, the main drawback in using FRP for such purposes is the reduction in ductility that the strengthened structure displays after strengthening. This loss in ductility has led various design guidelines around the world to prohibit any reDistribution of bending moments in continuous FRP-strengthened concrete structures. This means that continuous structures, which might have been designed, originally under assumptions of moment reDistribution, should be designed for FRP strengthening according to Elastic Distribution of bending moment. This could lead to onerous conditions for such strengthening schemes, particularly in hogging regions. This paper sets out a rationale for the possible appropriate use of reDistribution principles for FRPstrengthened concrete.

  • A theoretical strategy for moment reDistribution in continuous FRP-strengthened concrete structures
    Advanced Polymer Composites for Structural Applications in Construction, 2020
    Co-Authors: T. J. Ibell, P. F. Silva
    Abstract:

    The use of fiber-reinforced polymer (FRP) composites is now a widely-accepted solution for the strengthening of reinforced concrete structures. FRP strengthening schemes offer many well-documented benefits for the retrofit of many existing concrete buildings and bridges. However, the main drawback in using FRP for such purposes is the reduction in ductility that the strengthened structure displays after strengthening. This loss in ductility has led various design guidelines around the world to prohibit any reDistribution of bending moments in continuous FRP-strengthened concrete structures. This means that continuous structures, which might have been designed originally under assumptions of moment reDistribution, should be designed for FRP strengthening according to Elastic Distribution of bending moment. This could lead to onerous conditions for such strengthening schemes, particularly in hogging regions. This paper sets out a rationale for the possible appropriate use of reDistribution principles for FRP-strengthened concrete.

  • Evaluation of moment Distribution in continuous fiber-reinforced polymer-strengthened concrete beams
    ACI Structural Journal, 2008
    Co-Authors: P. F. Silva, T. J. Ibell
    Abstract:

    Fiber-reinforced polymer (FRP) strengthening offers many well-documented benefits for the retrofit of existing reinforced concrete (RC) structures. The main drawback in using FRP for such applications, however, is the reduction in ductility capacity after strengthening. This loss in ductility has led worldwide codes to not consider reDistribution of bending moments in continuous FRP-strengthened RC beams. This implies that an unstrengthened continuous RC beam that was previously designed under assumptions of moment reDistribution (MR) and is to be strengthened with FRP must now be redesigned according to full Elastic Distribution of bending moments. This could lead to onerous conditions in such strengthening applications. This paper sets out a rationale for the possible appropriate use of reDistribution principles for FRP-strengthened beams. Analytical results show that if a section can develop a curvature ductility capacity greater than 2.0, it is likely that reDistribution in the order of at least 7.5% can be achieved. These results are presented and further discussed in this paper. © 2008, American Concrete Institute.

Lei Chen - One of the best experts on this subject based on the ideXlab platform.

  • Experimental Comparative Research on Clustering Algorithm Based on Spark Platform
    2019 IEEE ACIS 18th International Conference on Computer and Information Science (ICIS), 2019
    Co-Authors: Bo Zhang, Xinhang Li, Yukun Yang, Junjie Geng, Lei Chen
    Abstract:

    In the era of big data, data mining has become the focus of research in various fields. Cluster analysis is one of its core processing methods. A large number of iterative calculations make cluster analysis computation extremely time-consuming. At the same time, data mining based on Spark platform is not yet mature at home and abroad, and the research on clustering algorithm based on Spark is still very scarce. Based on the above background, this paper focuses on the Spark framework, and conducts research in-depth on it. Using the advantages of its Elastic Distribution data set and the characteristics of parallelization, this paper improves the processing speed of clustering analysis, and compares the clustering results of clustering algorithms - K-means, K-means++, PIC and GMM through experimental comparison.

  • ICIS - Experimental Comparative Research on Clustering Algorithm Based on Spark Platform
    2019 IEEE ACIS 18th International Conference on Computer and Information Science (ICIS), 2019
    Co-Authors: Bo Zhang, Xinhang Li, Yukun Yang, Junjie Geng, Yanan Ma, Lei Chen
    Abstract:

    In the era of big data, data mining has become the focus of research in various fields. Cluster analysis is one of its core processing methods. A large number of iterative calculations make cluster analysis computation extremely time-consuming. At the same time, data mining based on Spark platform is not yet mature at home and abroad, and the research on clustering algorithm based on Spark is still very scarce. Based on the above background, this paper focuses on the Spark framework, and conducts research in-depth on it. Using the advantages of its Elastic Distribution data set and the characteristics of parallelization, this paper improves the processing speed of clustering analysis, and compares the clustering results of clustering algorithms --- K- means, K-means++, PIC and GMM through experimental comparison.

Martin Charvat - One of the best experts on this subject based on the ideXlab platform.

  • Design of Shear Connection between Steel Truss and Concrete Slab
    Procedia Engineering, 2020
    Co-Authors: Josef Machacek, Martin Charvat
    Abstract:

    Abstract Composite steel and concrete trusses used in floor and bridge structures are analyzed with respect to shear connection between a steel truss and a concrete slab. Elastic and Elastic-plastic behaviour of the shear connection is studied in detail. On the basis of experimental investigation the suitable 3D and 2D analyses are presented and influence of principal parameters are studied in wide scope. While some plastic reDistribution of the longitudinal shear is admissible in some cases for floors of buildings, the Elastic Distribution is essential for design of bridges. Distinctive peaks of the shear flow above truss nodes within Elastic behaviour are numerically studied in various real bridge configurations and compared with approximate approach given in Eurocode 4. Influence of shear connectors densification above truss nodes is discussed in details. Finally some recommendations for practical design are presented.

Bo Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Experimental Comparative Research on Clustering Algorithm Based on Spark Platform
    2019 IEEE ACIS 18th International Conference on Computer and Information Science (ICIS), 2019
    Co-Authors: Bo Zhang, Xinhang Li, Yukun Yang, Junjie Geng, Lei Chen
    Abstract:

    In the era of big data, data mining has become the focus of research in various fields. Cluster analysis is one of its core processing methods. A large number of iterative calculations make cluster analysis computation extremely time-consuming. At the same time, data mining based on Spark platform is not yet mature at home and abroad, and the research on clustering algorithm based on Spark is still very scarce. Based on the above background, this paper focuses on the Spark framework, and conducts research in-depth on it. Using the advantages of its Elastic Distribution data set and the characteristics of parallelization, this paper improves the processing speed of clustering analysis, and compares the clustering results of clustering algorithms - K-means, K-means++, PIC and GMM through experimental comparison.

  • ICIS - Experimental Comparative Research on Clustering Algorithm Based on Spark Platform
    2019 IEEE ACIS 18th International Conference on Computer and Information Science (ICIS), 2019
    Co-Authors: Bo Zhang, Xinhang Li, Yukun Yang, Junjie Geng, Yanan Ma, Lei Chen
    Abstract:

    In the era of big data, data mining has become the focus of research in various fields. Cluster analysis is one of its core processing methods. A large number of iterative calculations make cluster analysis computation extremely time-consuming. At the same time, data mining based on Spark platform is not yet mature at home and abroad, and the research on clustering algorithm based on Spark is still very scarce. Based on the above background, this paper focuses on the Spark framework, and conducts research in-depth on it. Using the advantages of its Elastic Distribution data set and the characteristics of parallelization, this paper improves the processing speed of clustering analysis, and compares the clustering results of clustering algorithms --- K- means, K-means++, PIC and GMM through experimental comparison.