105 research outputs found

    EVALUATION OF SOIL-STRUCTURE INTERACTION MODELS USING DIFFERENT MODEL-ROBUSTNESS APPROACHES

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    The aim of this study is to show an application of model robustness measures for soilstructure interaction (henceforth written as SSI) models. Model robustness defines a measure for the ability of a model to provide useful model answers for input parameters which typically have a wide range in geotechnical engineering. The calculation of SSI is a major problem in geotechnical engineering. Several different models exist for the estimation of SSI. These can be separated into analytical, semi-analytical and numerical methods. This paper focuses on the numerical models of SSI specific macro-element type models and more advanced finite element method models using contact description as continuum or interface elements. A brief description of the models used is given in the paper. Following this description, the applied SSI problem is introduced. The observed event is a static loaded shallow foundation with an inclined load. The different partial models to consider the SSI effects are assessed using different robustness measures during numerical application. The paper shows the investigation of the capability to use these measures for the assessment of the model quality of SSI partial models. A variance based robustness and a mathematical robustness approaches are applied. These different robustness measures are used in a framework which allows also the investigation of computational time consuming models. Finally the result shows that the concept of using robustness approaches combined with other model–quality indicators (e.g. model sensitivity or model reliability) can lead to unique model–quality assessment for SSI models

    A Laboratory Study on the Shear Strength Behavior of Two Till Deposits from Northern Germany

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    This paper presents the findings of a laboratory study of the shear strength and yielding behavior of two glacial till soil deposits from the area of Heiligenhafen, northern Germany. The tests were conducted on reconstituted forms of the soils using a triaxial cell capable of controlling the temperature of the specimens. The experimental program included a series of multi-stage consolidated drained (CD) compression triaxial tests at temperature ranges between 20 and 60 °C. For the temperature range considered in this study, a mild reduction in the effective friction angle of the two till soils of less than 1° was observed due to an increase in temperature from 20 to 60 °C. All the results were carefully assessed in view of the intrinsic soil behavior and fabric, and existing trends are highlighted. The findings of this study provide valuable insights into the shearing properties of till deposits, and can contribute to the enhancement of existing soil constitutive models as well as the development of new models that are particularly suited to the behavior of glacial tills under elevated temperature

    Cyclic Mechanical Behavior of Two Sandy Soils Used as Heat Storage Media

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    In this research, the cyclic mechanical behavior of two heat storage sandy soils is experimentally studied using a cyclic thermo-mechanical triaxial device. The results of the tests, which were performed under controlled temperature conditions between 20 and 60 °C, show a significant dependence of the mechanical response of the sandy soils with the amplitude of the cyclic loading and medium temperature. The mechanical performance and accumulation of plastic strains of the soils with an increasing number of loading cycles are discussed in view of the intrinsic soil behavior

    Site identification using surface waves

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    In der Dissertation wurden unterschiedliche Methoden zur Standortidentifizierung mit OberflĂ€chenwellen analysiert. Es wurden neue Methoden zur Parameteridentifikation unter Nutzung von OberflĂ€chenwellen vorgeschlagen. Die Ziele der Arbeit können wie folgt definiert werden: a) Die Entwicklung eines geeigneten theoretischen Modells als Grundlage zur Untersuchung des Standortes hinsichtlich vorhandener Bodensteifigkeiten. b) Die Entwicklung einer neuen Inversionsmethodik unter BerĂŒcksichtigung aller auftretenden Moden im OberflĂ€chenwellenfeld. Die Erstellung eines Modells des vertikal heterogenen Untergrundes erfolgte im Frequenz-bereichs fĂŒr beliebig geschichtete Böden, aufbereitet durch weitestgehend analytische Formulierungen. Durch Nutzung beliebiger horizontaler, elastisch-isotroper Schichten konnte die vertikale HeterogenitĂ€t approximiert werden. Die Definition der Green'schen Funktionen wurde in Form der Reflexions- und Transmissionskoeffizienten durchgefĂŒhrt. Die Lösung des formulierten Halbraumproblems erfolgte unter Verwendung der Konturintegration. Dazu wurde die Vorgehensweise der bestehenden Lösung des homogenen Halbraums auf das Problem des geschichteten Mediums ĂŒbertragen. Die daraus sich ergebende Lösung ist in ein Körperwellen- und ein OberflĂ€chenwellenfeld separiert. Der Vorteil dieser analytischen Betrachtungsweise liegt in der eindeutigen Zuordnungsmöglichkeit der erhaltenen Lösungen zu Wellentypen und in der klaren Dispersionscharakteristik der berechneten Modelle. Im Gegensatz dazu liefern numerische Lösungen, wie FEM, immer ein Wellenfeld, in dem die Wellentypen zugeordnet bzw. interpretiert werden mĂŒssen. Mit Hilfe der synthetischen Bodenmodellierung wird das Verhalten von geschichteten Böden bei durchlaufenden OberflĂ€chenwellenfeldern simuliert und untersucht. FĂŒr die Untersuchung der Profile wurde hauptsĂ€chlich die Modale Superposition von OberflĂ€chenwellen und die Wellenzahl-Integration verwendet. Bei der Analyse von OberflĂ€chenwellenfeldern in vorhandenen Medien sind abweichend von den ĂŒblichen seismischen Methoden spezielle Untersuchungsmethoden zur Ermittlung der vorhandenen Dispersion notwendig. Zur DurchfĂŒhrung der Dispersionsanalyse wird in geotechnischen Untersuchungen in der Regel das Phasen-Differenzen-Verfahren (SASW) genutzt. Aufgrund der beschrĂ€nkten AussagefĂ€higkeit dieses Verfahrens zu auftretenden höheren Moden werden verbesserte Analysemethoden zur experimentellen Auswertung hinzugezogen. Diese Methoden nutzen zur Informationsgewinnung das rĂ€umlich ausgedehnte Wellenfeld. Ausgehend von dem Dispersionsverhalten kann die Bodenstruktur mittels inverser Methoden bestimmt werden. FĂŒr die gemeinsame Inversion der in den Messungen vorhandenen Moden wurde ein entsprechendes Inversionsverfahren abgeleitet. Als Grundlage der Inversion wurde ein Verfahren des kleinsten Fehlerquadrates gewĂ€hlt. Der Vorteil hinsichtlich einer effizienten und stabilen Inversion unter Nutzung dieser Methodik ĂŒberwiegt den Nachteil der lokalen Suche nach dem Fehlerminimum. Zum Erreichen der stabilen und zielgerichteten Inversion wird der Levenberg-Marquardt Algorithmus, zusammen mit der Wichtung der DispersionsĂ€ste entsprechend ihres Anregungsverhaltens in den Dispersionsspektren, eingesetzt. Von Vorteil hat sich innerhalb der Arbeit die gleichzeitige Behandlung von theoretischen und experimentellen Parameterstudien erwiesen, da sich Ergebnisse und Erkenntnisse beider Seiten ergĂ€nzten. Eine Interpretation von Felddaten kann damit weitaus sicherer durchgefĂŒhrt werden. ZusĂ€tzlich konnten die erarbeiteten experimentellen und theoretischen Verfahren gegenseitig ĂŒberprĂŒft werden.In this thesis various available methods for the site identification with surface waves were analyzed. Some new methods are proposed for the site identification using surface wave characteristics. The objectives of the thesis are as follows: a) To develop an appropriate theoretical model that can work in conjunction with the results obtained from the site inverstigations to precisely identify the actual in situ stiffness profiles. b) To develop a new inversion procedure that enables to inverse all the appearing modes in a wave field. An appropriate model should be able to define the vertical heterogeniety of the subsoil. In this study, the existing solution for the homogeneous half space was extended to the stratified medium. An analytical formulation in the frequency domain was used for this purpose by considering arbitrary horizontal, elastic isotropic layers. The Green’s functions were defined in the matrix formulation in the form of reflection- and transmission coefficients. In this way the analytical considerations could be carried out in a strong mathematical procedure. The solution for the forced excited layered half space was obtained following the contour integration. The solution could be separated in to the body wave and the surface wave fields. The advantage of such an analytical approach lies in the definite allocation of the preserved solutions for wave types and the straight dispersion characteristic of the calculated models. The difference between the analytical and the numerical solutions, such as using FEM, is that the interpretation of the calculated wave field is not required in the former, whereas it is necessary in the latter case. With the help of an analytic wave field calculation the behavior of the propagate surface wave fields in the stratified media could be better simulated and examined. For the investigation of the stiffness profiles primarily the modal superposition by surface waves and the wave number-integration were used. Special surface wave field investigation methods were necessary for the determination of the available dispersion characterisic. For the realization of the dispersion analysis in geoengineering investigations the phase difference method (SASW) is a widely used tool. Since the information on the higher modes are limited, an improved method is proposed to separate the different modes from the experimental data. The proposed method used the spatially spread wave field for the dispersion information. The soil structure can be determined by using various inverse methods. For the joint inversion of all the available modes in the measurements, a suitable inversion procedure was derived. For the stabilization of the inversion procedure, a least square method was chosen. The disadvantage of this efficient method is a local minimum search of the objective function. To achieve a stable and focused inversion procedure the Levenberg-Marquardt algorithm was used. The different dispersion branches multiplied by weighting factors corresponds to the excitation behavior in the dispersion spectra. One particularly advantage in the work is the concurrent treatment of theoretical and experimental parameter studies. According this treatment, the results and cognitions of both sides were complementary. An interpretation of field data could be carried out reliably. In addition, the compiled experimental and theoretical procedures could be checked mutually

    Influence of Poroelasticity on the 3D Seismic Response of Complex Geological Media

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    Elastic wave propagation in 3D poroelastic geological media with localized heterogeneities, such as an elastic inclusion and a canyon is investigated to visualize the modification of local site responses under consideration of water saturated geomaterial. The extended computational environment herein developed is a direct Boundary Integral Equation Method (BIEM), based on the frequency-dependent fundamental solution of the governing equation in poro-visco elastodynamics. Bardet’s model is introduced in the analysis as the computationally efficient viscoelastic isomorphism to Biot’s equations of dynamic poroelasticity, thus replacing the two-phase material by a complex valued single-phase one. The potential of Bardet’s analogue is illustrated for low frequency vibrations and all simulation results demonstrate the dependency of wave field developed along the free surface on the properties of the soil material

    QUALITATIVE INVESTIGATION OF THE EFFECT OF SOIL MODELING APPROACH ON DYNAMIC BEHAVIOR OF A SMALL-SCALE 2-DOF STRUCTURE WITH PILE FOUNDATION

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    Known as a sophisticated phenomenon in civil engineering problems, soil structure interaction has been under deep investigations in the field of Geotechnics. On the other hand, advent of powerful computers has led to development of numerous numerical methods to deal with this phenomenon, resulting in a wide variety of methods trying to simulate the behavior of the soil stratum. This survey studies two common approaches to model the soil’s behavior in a system consisting of a structure with two degrees of freedom, representing a two-storey frame structure made of steel, with the column resting on a pile embedded into sand in laboratory scale. The effect of soil simulation technique on the dynamic behavior of the structure is of major interest in the study. Utilized modeling approaches are the so-called Holistic method, and substitution of soil with respective impedance functions

    Wave based damage detection in solid structures using spatially asymmetric encoder-decoder network

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    The identification of structural damages takes a more and more important role within the modern economy, where often the monitoring of an infrastructure is the last approach to keep it under public use. Conventional monitoring methods require specialized engineers and are mainly time-consuming. This research paper considers the ability of neural networks to recognize the initial or alteration of structural properties based on the training processes. The presented model, a spatially asymmetric encoder-decoder network, is based on 1D-Convolutional Neural Networks (CNN) for wave field pattern recognition, or more specifically the wave field change recognition. The proposed model is used to identify the change within propagating wave fields after a crack initiation within the structure. The paper describes the implemented method and the required training procedure to get a successful crack detection accuracy, where the training data are based on the dynamic lattice model. Although the training of the model is still time-consuming, the proposed new method has an enormous potential to become a new crack detection or structural health monitoring approach within the conventional monitoring methods

    HYBRID APPROACH OF WAVE NUMBER INTEGRATION-BOUNDARY INTEGRAL EQUATION METHOD FOR SITE EFFECT ESTIMATION OF A LATERALLY VARYING SEISMIC REGION

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    In this paper we evaluate 2D models for soil-water characteristic curve (SWCC), that incorporate the hysteretic nature of the relationship between volumetric water content Θ and suction Κ. The models are based on nonlinear least squares estimation of the experimental data for sand. To estimate the dependent variable Θ the proposed models include two independent variables, suction and sensors reading position (depth d in the column test). The variable d represents not only the position where suction and water content are measured but also the initial suction distribution before each of the hydraulic loading test phases. Due to this the proposed 2D regression models acquire the advantage that they: (a) can be applied for prediction of Θ for any position along the column and (b) give the functional form for the scanning curves

    CALIBRATION OF CYCLIC CONSTITUTIVE MODELS FOR SOILS BY OSCILLATING FUNCTIONS

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    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
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