TY - CONF A1 - Bronsert, Jeffrey A1 - Baeßler, Matthias A1 - Cuéllar, Pablo A1 - Rücker, Werner T1 - Bewertung und Optimierung von Brückenübergangsbereichen auf der Basis eines numerischen Modells für die Fahrzeug-Fahrweg-Brücken-Wechselwirkung N2 - In diesem Artikel wird ein 3D FE-Modell für den Brückenübergangsbereich vorgestellt, das eine Bewertung hinsichtlich des Langzeitverhaltens ermöglicht und an dem Optimierungsmaßnahmen diskutiert werden können. Bestandteile des numerischen Modells sind das Fahrzeug-Fahrwegmodell mit Brückenstruktur und eine Randformulierung mit der SBFEM. Die hier diskutierten Optimierungsmaßnahmen fokussieren sich auf eine reine Anpassung der Fahrwegsteifigkeit durch elastische Elemente auf der Brückenstruktur. T2 - 5. VDI-Fachtagung - Baudynamik 2015 CY - Kassel, Germany DA - 22.04.2015 PY - 2015 SN - 978-3-18-092244-7 N1 - Serientitel: VDI-Berichte – Series title: VDI-Berichte IS - 2244 SP - 247 EP - 258 PB - VDI-Verl. CY - Düsseldorf AN - OPUS4-35259 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Taylor, G.R. A1 - Tan, R. A1 - O´Brien, A.S. A1 - Baeßler, Matthias A1 - Cuéllar, Pablo A1 - Lane, J.S. A1 - Evans, E. T1 - The use of physical model testing in the development of models for potential impact assessment on the UK rail network N2 - Most railway embankments in the UK were built in the Victorian era and are of end-tipped construction using materials (usually cohesive) excavated from adjacent cuttings, resulting in a clod-and-matrix structure. Historically, there has been a lack in understanding of the mechanical behaviour of such railway embankments. In the next decade railway traffic in the UK, particularly freight, is forecast to grow considerably. Consequently, there is a need to improve the understanding of how increases in rail traffic loading may influence the mechanical behaviour of railway embankments and thus track performance. The Rail Safety and Standards Board in conjunction with Network Rail is currently undertaking a programme of applied research into this topic. As part of these studies a programme of physical model tests has been carried out. Physical model tests can provide high quality data on system performance under a large range of loading conditions and geometrical configurations. The data can be generated rapidly, with test periods of weeks or months rather than years or decades. Additionally, boundary conditions are well-defined and controlled, compared with the complex situations encountered in full scale embankments in the field. This paper summarises the physical model test programme, the development of the test set-up, the tests themselves and the conclusions drawn. T2 - European Conference on Soil Mechanics and Geotechnical Engineering CY - Edinburgh, Scotland, UK DA - 13.09.2015 KW - Railway embankment KW - Clay fill KW - Physical model testing PY - 2015 SN - 978-0-7277-6067-8 U6 - https://doi.org/10.1680/ecsmge.60678 SP - 361 EP - 366 AN - OPUS4-39374 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Karabeliov, Krassimire A1 - Cuéllar, Pablo A1 - Baeßler, Matthias A1 - Rücker, Werner T1 - System identification of inverse, multimodal and nonlinear problems using evolutionary computing - Application to a pile structure supported on nonlinear springs N2 - This paper deals with the system identification of a mechanical structure supported by nonlinear springs subjected to an external load. If all mechanical parameters of the system were known, the displacement of the system subjected to this load could be easily calculated. However, the monitoring applications often deal with the inverse problem. The loads and displacements of the system are known and certain mechanical Parameters of the system are sought. The solution of such inverse problems can be difficult, especially when they have a nonlinear and multimodal character, which often makes them appear intractable at first sight. However, evolutionary computing can be applied to solve this inverse, nonlinear and multimodal problem. Sometimes a prior knowledge exists on certain system properties, which is difficult to implement into analytical or numerical solvers. This knowledge can play a decisive role in identifying the System properties and it can be easily included as a boundary condition when applying evolutionary algorithms. This article discusses how and under what conditions the unknown spring resistances can be identified. The practical application of this procedure is exemplified here with the mechanical system of a pile foundation. KW - Evolutionary computing KW - Inverse problem KW - Multimodal solution KW - System identification KW - Pile monitoring PY - 2015 U6 - https://doi.org/10.1016/j.engstruct.2015.07.034 SN - 0141-0296 SN - 1873-7323 VL - 101 SP - 609 EP - 620 AN - OPUS4-39310 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -