Dokument-ID Dokumenttyp Verfasser/Autoren Herausgeber Haupttitel Abstract Auflage Verlagsort Verlag Erscheinungsjahr Seitenzahl Schriftenreihe Titel Schriftenreihe Bandzahl ISBN Quelle der Hochschulschrift Konferenzname Quelle:Titel Quelle:Jahrgang Quelle:Heftnummer Quelle:Erste Seite Quelle:Letzte Seite URN DOI Abteilungen OPUS4-3596 Wissenschaftlicher Artikel Alalade, Muyiwa; Nguyen-Tuan, Long; Wuttke, Frank; Lahmer, Tom Damage identification in gravity dams using dynamic coupled hydro-mechanical XFEM Damage identification in gravity dams using dynamic coupled hydro-mechanical XFEM. 18 International Journal of Mechanics and Materials in Design 1 19 10.25643/bauhaus-universitaet.3596 Professur Stochastik und Optimierung OPUS4-2793 Konferenzveröffentlichung Alalade, Muyiwa; Kafle, Binod; Wuttke, Frank; Lahmer, Tom Gürlebeck, Klaus; Lahmer, Tom CALIBRATION OF CYCLIC CONSTITUTIVE MODELS FOR SOILS BY OSCILLATING FUNCTIONS In order to minimize the probability of foundation failure resulting from cyclic action on structures, researchers have developed various constitutive models to simulate the foundation response and soil interaction as a result of these complex cyclic loads. The efficiency and effectiveness of these model is majorly influenced by the cyclic constitutive parameters. Although a lot of research is being carried out on these relatively new models, little or no details exist in literature about the model based identification of the cyclic constitutive parameters. This could be attributed to the difficulties and complexities of the inverse modeling of such complex phenomena. A variety of optimization strategies are available for the solution of the sum of least-squares problems as usually done in the field of model calibration. However for the back analysis (calibration) of the soil response to oscillatory load functions, this paper gives insight into the model calibration challenges and also puts forward a method for the inverse modeling of cyclic loaded foundation response such that high quality solutions are obtained with minimum computational effort. Therefore model responses are produced which adequately describes what would otherwise be experienced in the laboratory or field. 6 Digital Proceedings, International Conference on the Applications of Computer Science and Mathematics in Architecture and Civil Engineering : July 20 - 22 2015, Bauhaus-University Weimar urn:nbn:de:gbv:wim2-20170314-27932 10.25643/bauhaus-universitaet.2793 Professur Angewandte Mathematik OPUS4-4839 Wissenschaftlicher Artikel Alalade, Muyiwa; Reichert, Ina; Köhn, Daniel; Wuttke, Frank; Lahmer, Tom Qu, Chunxu; Gao, Chunxu; Zhang, Rui; Jia, Ziguang; Li, Jiaxiang A Cyclic Multi-Stage Implementation of the Full-Waveform Inversion for the Identification of Anomalies in Dams For the safe and efficient operation of dams, frequent monitoring and maintenance are required. These are usually expensive, time consuming, and cumbersome. To alleviate these issues, we propose applying a wave-based scheme for the location and quantification of damages in dams. To obtain high-resolution "interpretable" images of the damaged regions, we drew inspiration from non-linear full-multigrid methods for inverse problems and applied a new cyclic multi-stage full-waveform inversion (FWI) scheme. Our approach is less susceptible to the stability issues faced by the standard FWI scheme when dealing with ill-posed problems. In this paper, we first selected an optimal acquisition setup and then applied synthetic data to demonstrate the capability of our approach in identifying a series of anomalies in dams by a mixture of reflection and transmission tomography. The results had sufficient robustness, showing the prospects of application in the field of non-destructive testing of dams. Basel MDPI 19 Infrastructures 2022 Volume 7, issue 12, article 161 urn:nbn:de:gbv:wim2-20221201-48396 10.3390/infrastructures7120161 Institut für Strukturmechanik (ISM)