Loading...
Search for: reinforced-concrete-moment-frames
0.008 seconds

    Machine learning-based seismic damage assessment of non-ductile RC beam-column joints using visual damage indices of surface crack patterns

    , Article Structures ; Volume 45 , 2022 , Pages 2038-2050 ; 23520124 (ISSN) Hamidia, M ; Mansourdehghan, S ; Asjodi, A. H ; Dolatshahi, K. M ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    After a significant earthquake, the updated status of the structural elements is usually determined based on a qualitative visual inspection. Although visual inspection provides a prompt assessment of the damaged elements, the output of this subjective method is influenced by the experience and decision of a trained inspector, which may vary from case to case. In this study, an innovative machine learning-based procedure is developed to automate damage state identification of non-ductile reinforced concrete moment frames (RCMFs) utilizing visual indices of crack patterns of the concrete surface. An extensive database including 264 surface crack patterns is constructed corresponding to 61... 

    Seismic Performance of Composite RCS Moment Frames

    , M.Sc. Thesis Sharif University of Technology Tavasoli Yousef Abadi, Elmira (Author) ; Kazemi, Mohammad Taghi (Supervisor)
    Abstract
    Composite Reinforced Concrete-Steel (RCS) frames which have reinforced concrete columns and steel beams attracted a lot of attention in recent years. They take advantage from the benefits of both reinforced concrete and steel frames thorough using the optimum combination of concrete and steel structural elements. In this research six structures including three 3-story, and three 6-story buildings are designed in a region with very high seismicity risk. These structures include composite RCS moment frames, special steel moment frames, and reinforced concrete special moment frames. RCS moment frames which are designed they not only have reinforced concrete columns similar to reinforced... 

    Machine learning-aided scenario-based seismic drift measurement for RC moment frames using visual features of surface damage

    , Article Measurement: Journal of the International Measurement Confederation ; Volume 205 , 2022 ; 02632241 (ISSN) Hamidia, M ; Mansourdehghan, S ; Asjodi, A. H ; Dolatshahi, K.M ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    This paper presents a novel computer vision-based methodology for assessment of the seismic damage in reinforced concrete moment frames using visual characteristics of surface damage following an earthquake. An extensive collected database comprising 974 images associated with 256 cyclic-loaded damaged beam-column joints, providing a set of cracking and crushing progression with increasing the evolution of damage level, is collected and used for the development and validation of the methodology. Employing image processing techniques, the characteristics of the surface damage, including the cracking length and crushing areas, are measured and used in a scenario-based assessment for the... 

    Peak drift ratio estimation for RC moment frames using multifractal dimensions of surface crack patterns

    , Article Engineering Structures ; Volume 255 , 2022 ; 01410296 (ISSN) Hamidia, M ; Ganjizadeh, A ; Dolatshahi, K. M ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    In this paper, a novel computer-vision based methodology is developed for predicting the seismic peak drift ratio of damaged reinforced concrete moment frames using surface crack patterns. A comprehensive database comprising 974 surface crack images from cyclic test results of 256 beam-column joint specimens at various drift ratio levels is collected. The database covers a broad range of concrete compressive strengths, rebar and stirrup strengths, longitudinal and transverse reinforcement ratios, beam and column length to depth ratios, in-plane configurations, and failure modes. Multifractal dimensions of damaged beam-column subassembly images are obtained by the box-counting algorithm to... 

    Vertical Addition Effect of Existing Concrete Moment Frames in Increasing Life Cycle Cost

    , M.Sc. Thesis Sharif University of Technology Aliaghdam, Morteza (Author) ; Esmail Pourestekanchi, Homayoon (Supervisor)
    Abstract
    Vertical addition of existing buildings provides more living space without the need for more land use. Also adding a story on an existing building is one of the common needs in metropolitans. However, the structure may bear high risk due to vertical addition. This study aims to model conventional concrete structures built in Tehran and then assess and compare the seismic performance of base structure and extended structure. Seismic performance of a system is defined as their efficiency in providing enough safety and reducing the Life-Cycle Cost. For this purpose, seven archetypes as base structures and eight extended structures corresponding to base structures, that had residential...