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  • Engineering  (4)
  • 1
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2022
    In:  WASSERWIRTSCHAFT Vol. 112, No. S1 ( 2022-05), p. 76-77
    In: WASSERWIRTSCHAFT, Springer Science and Business Media LLC, Vol. 112, No. S1 ( 2022-05), p. 76-77
    Type of Medium: Online Resource
    ISSN: 0043-0978 , 2192-8762
    RVK:
    Language: German
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 240434-5
    SSG: 14
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  • 2
    In: Bautechnik, Wiley, Vol. 96, No. 2 ( 2019-02), p. 120-132
    Abstract: Long‐term structural behaviour of a 170 m long integral railway bridge – monitoring and modelling of the soil‐structure‐CWR interaction The Rednitz valley bridge is a 170 m long railway viaduct. The piers and the abutments are connected to the superstructure monolithically. Because of its construction type and its integral length, this bridge is an exception in the railway network of the DB AG. The low maintenance effort needed since its construction in 1999 shows the advantages of this construction type. A long‐term monitoring as well as numerical analyses have been performed on the bridge in order to improve the calculation approach for long integral bridges compared to the actual standards. In a first step, the real deformation behaviour of the integral structure as well as the stresses in the continuous welded rail track have been characterised based on the measurement results. Subsequently the results were compared to the results of the numerical models. Conclusions about the activation of the backfill of the abutment and about the function of the transition plate could be drawn from the investigations. Furthermore, it could be shown, that the interaction between the bridge end and the backfill as well as the behaviour of the ballasted track have a favourable influence on the rail stresses in the transition area. Despite the considerable bridge length of about 170 m, the additional rail stresses remain small compared to the allowable stresses and to the expectations.
    Type of Medium: Online Resource
    ISSN: 0932-8351 , 1437-0999
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2151238-3
    detail.hit.zdb_id: 240073-X
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  • 3
    In: Bautechnik, Wiley, Vol. 99, No. 3 ( 2022-03), p. 173-181
    Abstract: Condition state prediction of engineering structures based on digital twins and inspection data The condition state of engineering structures is significantly important for the maintenance and safe operation of the transport infrastructure. Knowledge of the current condition state of a structure is therefore crucial to economic maintenance management. In addition to the current condition state, economic maintenance strategies are based on knowledge of the future development of a structure's condition. The future condition development of a structure can be estimated by an intelligent data linkage of bridge data and thus maintenance measures can be derived in advance. The paper presents an approach to derive data driven predictions of the condition states of railway bridges based on Building Information Modeling (BIM) and digital building models, linked with inspection data and Structural Health Monitoring (SHM). For this purpose, Machine Learning (ML) methods are applied to the aggregated data of the bridge structures of the DB Netz AG and evaluated in an asset related manner. The objective and data driven prediction provides a further basis for reliable decisions in maintenance management.
    Type of Medium: Online Resource
    ISSN: 0932-8351 , 1437-0999
    URL: Issue
    RVK:
    Language: German
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2151238-3
    detail.hit.zdb_id: 240073-X
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  • 4
    Online Resource
    Online Resource
    Wiley ; 2020
    In:  Bautechnik Vol. 97, No. 12 ( 2020-12), p. 826-835
    In: Bautechnik, Wiley, Vol. 97, No. 12 ( 2020-12), p. 826-835
    Abstract: Concept for BIM‐based maintenance of engineering structures with monitoring systems Digitalization is one of the most important change processes in this century and affects all areas of our society. In the field of civil engineering, digitalization offers many potentials for all phases of the life cycle of structures, which can be expanded by making data available and defining new ways of working with them. Digital methods, in particular building information modeling (BIM) and structural health monitoring (SHM), offer excellent approaches to satisfy this idea, especially for infrastructure engineering structures and can contribute to make the structure operation more efficient. The process of inspection of infrastructure structures follows fixed deadlines. With the help of the presented concept a digitally supported maintenance of railway bridges shall be developed by the interlocking of BIM and SHM in order to enable a predictive maintenance management and thus to improve the reliability of engineering structures over the lifetime. Within the framework of concept development, the required methods and processes are defined, explained and harmonized.
    Type of Medium: Online Resource
    ISSN: 0932-8351 , 1437-0999
    URL: Issue
    RVK:
    Language: German
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2151238-3
    detail.hit.zdb_id: 240073-X
    Location Call Number Limitation Availability
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