TY - THES A1 - Ahmad, Sofyan T1 - Reference Surface-Based System Identification N2 - Environmental and operational variables and their impact on structural responses have been acknowledged as one of the most important challenges for the application of the ambient vibration-based damage identification in structures. The damage detection procedures may yield poor results, if the impacts of loading and environmental conditions of the structures are not considered. The reference-surface-based method, which is proposed in this thesis, is addressed to overcome this problem. In the proposed method, meta-models are used to take into account significant effects of the environmental and operational variables. The usage of the approximation models, allows the proposed method to simply handle multiple non-damaged variable effects simultaneously, which for other methods seems to be very complex. The input of the meta-model are the multiple non-damaged variables while the output is a damage indicator. The reference-surface-based method diminishes the effect of the non-damaged variables to the vibration based damage detection results. Hence, the structure condition that is assessed by using ambient vibration data at any time would be more reliable. Immediate reliable information regarding the structure condition is required to quickly respond to the event, by means to take necessary actions concerning the future use or further investigation of the structures, for instance shortly after extreme events such as earthquakes. The critical part of the proposed damage detection method is the learning phase, where the meta-models are trained by using input-output relation of observation data. Significant problems that may encounter during the learning phase are outlined and some remedies to overcome the problems are suggested. The proposed damage identification method is applied to numerical and experimental models. In addition to the natural frequencies, wavelet energy and stochastic subspace damage indicators are used. T3 - ISM-Bericht // Institut für Strukturmechanik, Bauhaus-Universität Weimar - 2013,3 KW - System Identification KW - Schadensdetektionsverfahren KW - Referenzfläche Y1 - 2013 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20140205-21132 ER - TY - THES A1 - Alalade, Muyiwa T1 - An Enhanced Full Waveform Inversion Method for the Structural Analysis of Dams N2 - Since the Industrial Revolution in the 1700s, the high emission of gaseous wastes into the atmosphere from the usage of fossil fuels has caused a general increase in temperatures globally. To combat the environmental imbalance, there is an increase in the demand for renewable energy sources. Dams play a major role in the generation of “green" energy. However, these structures require frequent and strict monitoring to ensure safe and efficient operation. To tackle the challenges faced in the application of convention dam monitoring techniques, this work proposes the inverse analysis of numerical models to identify damaged regions in the dam. Using a dynamic coupled hydro-mechanical Extended Finite Element Method (XFEM) model and a global optimization strategy, damage (crack) in the dam is identified. By employing seismic waves to probe the dam structure, a more detailed information on the distribution of heterogeneous materials and damaged regions are obtained by the application of the Full Waveform Inversion (FWI) method. The FWI is based on a local optimization strategy and thus it is highly dependent on the starting model. A variety of data acquisition setups are investigated, and an optimal setup is proposed. The effect of different starting models and noise in the measured data on the damage identification is considered. Combining the non-dependence of a starting model of the global optimization strategy based dynamic coupled hydro-mechanical XFEM method and the detailed output of the local optimization strategy based FWI method, an enhanced Full Waveform Inversion is proposed for the structural analysis of dams. T3 - ISM-Bericht // Institut für Strukturmechanik, Bauhaus-Universität Weimar - 2019,1 KW - Talsperre KW - Staumauer KW - Damage identification KW - Inverse analysis KW - Dams KW - Full waveform inversion KW - Wave propagation Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20190813-39566 ER - TY - THES A1 - Asslan, Milad T1 - An Experimental Study on the Initial Shear Stiffness in Granular Material under Controlled Multi-Phase Laboratory Conditions N2 - The initial shear modulus, Gmax, of soil is an important parameter for a variety of geotechnical design applications. This modulus is typically associated with shear strain levels about 5*10^-3% and below. The critical role of soil stiffness at small-strains in the design and analysis of geotechnical infrastructure is now widely accepted. Gmax is a key parameter in small-strain dynamic analyses such as those to predict soil behavior or soil-structure interaction during earthquake, explosions, machine or traffic vibration where it is necessary to know how the shear modulus degrades from its small-strain value as the level of shear strain increases. Gmax can be equally important for small-strain cyclic situations such as those caused by wind or wave loading and for small-strain static situations as well. Gmax may also be used as an indirect indication of various soil parameters, as it, in many cases, correlates well to other soil properties such as density and sample disturbance. In recent years, a technique using bender elements was developed to investigate the small-strain shear modulus Gmax. The objective of this thesis is to study the initial shear stiffness for various sands with different void ratios, densities, grain size distribution under dry and saturated conditions, then to compare empirical equations to predict Gmax and results from other testing devices with results of bender elements from this study. KW - Soil KW - Shear modulus KW - Shear wave KW - Soil dynamics KW - Bender elements Y1 - 2009 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20120402-15842 ER - TY - THES A1 - Schwedler, Michael T1 - Untersuchungen adaptiver Modellanpassungen für Probleme dynamischer Bauwerks-Bodeninteraktion T1 - Study on adaptive model customization for dynamic soil structure interaction problems N2 - Die Eigenschaften des Baugrunds können das dynamische Verhalten eines Bauwerks in erheblichem Maße beeinflussen. Um daraus resultierende Veränderungen der Tragwerksbeanspruchung ermitteln zu können, muss der Boden in den Berechnungsmodellen zur Bestimmung der Tragwerksbeanspruchung berücksichtigt werden. Die möglichen Modellierungsvarianten unterscheiden sich in ihrer Komplexität erheblich. Im Rahmen dieser Arbeit wird das dynamische Verhalten eines konkreten Bauwerks, der Millikan Library, an einem numerischen Modell untersucht. Während das Partialmodell Bauwerk während der Untersuchungen unverändert bleibt, werden für den Boden verschiedene Modellierungsvarianten verwendet. Allen Bodenmodellen gemein ist, dass sie auf einfachen, gekoppelten Feder-Dämpferelementen beruhen. Die mit den unterschiedlichen Modellierungsvarianten des Bodens erzielten Ergebnisse werden einander gegenüber gestellt und mit dem, im Rahmen anderer Arbeiten experimentell bestimmten, dynamischen Verhalten des untersuchten Bauwerks verglichen. KW - Boden-Bauwerk-Wechselwirkung KW - Millikan Library KW - Feder-Dämpfer Bodenmodelle KW - soil-structure interaction KW - Millikan Library KW - spring-dashpot soil models Y1 - 2009 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20091022-14896 ER -