@periodical{BeeKlemsteinHallmannetal., author = {Bee, Julia and Klemstein, Franziska and Hallmann, Lilli and Noeske, Jannik and Bachrach Barzilai, Yael and Bauche, Manuela and Beck, Erik and Logemann, Daniel and Marshall, Danna and Paulus, J{\"o}rg and Schl{\"u}ter, Dorothee and Schubert-Lehnhardt, Viola and Schwoch, Rebecca and Str{\"a}hle, Volker and Stubenvoll, Kerstin and Victor, Kristin and Wagner, Jens-Christian and Welch Guerra, Max}, title = {Auf dem Weg zum Erinnerungsort - das Geb{\"a}ude der NS-Medizinb{\"u}rokratie in Weimar}, editor = {Bee, Julia and Hallmann, Lilli and Klemstein, Franziska and Noeske, Jannik}, doi = {10.25643/bauhaus-universitaet.6461}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20231012-64617}, abstract = {Die Bauhausstraße 11 war in der NS-Zeit Sitz von zahlreichen Institutionen der Gesundheitspolitik. Jetzt ist das Geb{\"a}ude zum Gegenstand eines Forschungsprojektes geworden, in Zukunft wird auch vor Ort an seine Einbindung in nationalsozialistische Verbrechen erinnert. Dieses Buch dokumentiert und reflektiert die Erinnerungsarbeit auf dem Campus der Bauhaus-Universit{\"a}t Weimar und dar{\"u}ber hinaus. Anhand der interdisziplin{\"a}ren Beitr{\"a}ge wird das Geb{\"a}ude in der heutigen Bauhausstraße 11 r{\"a}umlich in Weimar und Th{\"u}ringen, erinnerungspolitisch aber in einer seit Jahrzehnten erk{\"a}mpften Landschaft des Gedenkens an nationalsozialistische Verbrechen verortet.}, subject = {Kollektives Ged{\"a}chtnis}, language = {de} } @inproceedings{VoellmeckeSchwendnerHoetal., author = {V{\"o}llmecke, Lars and Schwendner, Sascha and Ho, Ai Phien and Fischer, Jens and Seim, Werner}, title = {Assessment of nailed connections in existing structures}, doi = {10.25643/bauhaus-universitaet.6361}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20230609-63615}, pages = {7}, abstract = {This paper presents the development of an assessment scheme for a visual qualitative evaluation of nailed connections in existing structures, such as board trusses. In terms of further use and preservation, a quick visual inspection will help to evaluate the quality of a structure regarding its load-bearing capacity and deformation behaviour. Tests of old and new nailed joints in combination with a rating scheme point out the correlation between the load-bearing capacity and condition of a joint. Old joints of comparatively good condition tend to exhibit better results than those of poor condition. Moreover, aged joints are generally more load-bearing than newly assembled ones.}, subject = {Holzbau}, language = {en} } @periodical{AinioBartetzkyGyőrffyetal., author = {Ainio, Anna and Bartetzky, Arnold and Győrffy, Rachel and Islam, Naslima and Khvadagiani, Irakli and Kibel, Jochen and Landau-Donnelly, Friederike and Leko, Kristina and Lenz, Patricia and Onuoha, Nnenna and Rathjen, Lukas and Reinsch, Natalie and Rykov, Anatol and Tajeri, Niloufar and Ullmanov{\´a}, Kl{\´a}ra}, title = {Censored? Conflicted Concepts of Cultural Heritage}, editor = {Din{\c{c}}{\c{c}}ağ Kahveci, Ay{\c{s}}eg{\"u}l and Hajdu, Marcell and H{\"o}hne, Wolfram and Jesse, Darja and Karpf, Michael and Torres Ruiz, Marta}, publisher = {Bauhaus-Universit{\"a}tsverlag}, address = {Weimar}, isbn = {978-3-95773-304-7}, doi = {10.25643/bauhaus-universitaet.4927}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20230213-49276}, pages = {181}, abstract = {Those who ask how social entities relate to the past, enter a field defined by competing interpretations and contested practices of a collectively shared heritage. Dissent and conflict among heritage communities represent productive moments in the negotiation of these varying constructs of the past, identities, and heritage. At the same time, they lead to omissions, the overwriting and amendment of existing constructs. A closer look at all that is suppressed, excluded or rejected opens up new perspectives: It reveals how social groups are formed through public disputes upon the material foundations of heritage constructs. Taking the concept of censorship, the volume engages with the exclusionary and inclusionary mechanisms that underlie the construction of heritage and thus social identities. Censorship is understood here as a discursive strategy in public debates. In current debates, allegations of censorship surface primarily in cases where the handling of a certain heritage constructs is subjected to critical evaluation, or on the contrary, needs to be protected from criticism or even destruction. The authors trace the connection between heritage and identity and show that identity constructs are not only manifested within heritage but are actively negotiated through it.}, subject = {Kulturerbe}, language = {en} } @phdthesis{Jaouadi, author = {Jaouadi, Zouhour}, title = {Pareto and Reliability-Oriented Aeroelastic Shape Optimization of Bridge Decks}, doi = {10.25643/bauhaus-universitaet.4935}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20230303-49352}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {167}, abstract = {Due to the development of new technologies and materials, optimized bridge design has recently gained more attention. The aim is to reduce the bridge components materials and the CO2 emission from the cement manufacturing process. Thus, most long-span bridges are designed to be with high flexibility, low structural damping, and longer and slender spans. Such designs lead, however, to aeroelastic challenges. Moreover, the consideration of both the structural and aeroelastic behavior in bridges leads to contradictory solutions as the structural constraints lead to deck prototypes with high depth which provide high inertia to material volume ratios. On the other hand, considering solely the aerodynamic requirements, slender airfoil-shaped bridge box girders are recommended since they prevent vortex shedding and exhibit minimum drag. Within this framework comes this study which provides approaches to find optimal bridge deck cross-sections while considering the aerodynamic effects. Shape optimization of deck cross-section is usually formulated to minimize the amount of material by finding adequate parameters such as the depth, the height, and the thickness and while ensuring the overall stability of the structure by the application of some constraints. Codes and studies have been implemented to analyze the wind phenomena and the structural responses towards bridge deck cross-sections where simplifications have been adopted due to the complexity and the uniqueness of such components besides the difficulty of obtaining a final model of the aerodynamic behavior. In this thesis, two main perspectives have been studied; the first is fully deterministic and presents a novel framework on generating optimal aerodynamic shapes for streamlined and trapezoidal cross-sections based on the meta-modeling approach. Single and multi-objective optimizations were both carried out and a Pareto Front is generated. The performance of the optimal designs is checked afterwards. In the second part, a new strategy based on Reliability-Based Design Optimization (RBDO) to mitigate the vortex-induced vibration (VIV) on the Trans-Tokyo Bay bridge is proposed. Small changes in the leading and trailing edges are presented and uncertainties are considered in the structural system. Probabilistic constraints based on polynomial regression are evaluated and the problem is solved while applying the Reliability Index Approach (RIA) and the Performance Measure Approach (PMA). The results obtained in the first part showed that the aspect ratio has a significant effect on the aerodynamic behavior where deeper cross-sections have lower resistance against flutter and should be avoided. In the second part, the adopted RBDO approach succeeded to mitigate the VIV, and it is proven that designs with narrow or prolonged bottom-base length and featuring an abrupt surface change in the leading and trailing edges can lead to high vertical vibration amplitude. It is expected that this research will help engineers with the selections of the adequate deck cross-section layout, and encourage researchers to apply concepts of optimization regarding this field and develop the presented approaches for further studies.}, subject = {Gestaltoptimierung}, language = {en} } @misc{Miller, type = {Master Thesis}, author = {Miller, Martin}, title = {BIM-basierte Digitalisierung von Bestandsgeb{\"a}uden aus Sicht des FM am Beispiel von Heizungsanlagen}, doi = {10.25643/bauhaus-universitaet.4661}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20220623-46616}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {101}, abstract = {Das Ziel der Arbeit ist, f{\"u}r das Facility Management relevante Informationen f{\"u}r die mit Building Information Modeling basierende Erstellung von Bestandsgeb{\"a}uden am Beispiel einer Hei- zungsanlage zu definieren. Darauf basierend sind die notwendigen Arbeitsschritte der Objek- taufnahme abgeleitet. F{\"u}r die Definition der Arbeitsschritte wurden das grundlegende Vorge- hen bei einer Objektaufnahme sowie die gesetzlichen Gegebenheiten f{\"u}r den Betrieb einer Heizungsanlage dargelegt. Dar{\"u}ber hinaus sind in der vorliegenden Ausarbeitung die Vorteile und Herausforderungen hinsichtlich des Zusammenspiels von Building Information Modeling und Facility Management analysiert. Die definierten Arbeitsschritte sind anhand eines Beispiel- projektes angewendet worden. Im Rahmen des Beispielprojekts sind die entscheidenden Be- triebsdaten je Anlagenteil in Form von Informationsanforderungen nach DIN 17412 definiert. Das Geb{\"a}udemodell ist durch Parameter mit den f{\"u}r das Facility Management relevanten In- formationen erg{\"a}nzt. Die Resultate des Beispielprojektes sind mit aussagekr{\"a}ftigen Schnitten, Pl{\"a}nen sowie 3-D-Visualisierungen dargestellt. Abschließend sind die Ergebnisse in Bezug auf das FM validiert. Aus den Arbeitsschritten und Ergebnissen ist eine Leitlinie erstellt worden f{\"u}r den Digitalisierungsprozess von Bestandsgeb{\"a}uden f{\"u}r das Facility Management.}, subject = {Facility Management}, language = {de} } @phdthesis{Cicek, author = {Cicek, Burhan}, title = {Revisiting vernacular technique: Engineering a low environmental impact earth stabilisation method}, doi = {10.25643/bauhaus-universitaet.4698}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20220803-46989}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {195}, abstract = {The major drawbacks of earth as a construction material — such as its low water stability and moderate strength — have led mankind to stabilize earth. Different civilizations developed vernacular techniques mainly focussing on lime, pozzolan or gypsum stabilization. Recently, cement has become the most commonly used additive in earth stabilization as it improves the strength and durability of plain earth. Also, it is a familiar and globally available construction material. However, using cement as an additive reduces the environmental advantages of earth and run counter to global targets regarding the reduction of CO2 emissions. Alternatives to cement stabilization are currently neither efficient enough to reduce its environmental impact nor allow the possibility of obtaining better results than those of cement. As such, this thesis deals with the rediscovery of a reverse engineering approach for a low environmental impact earth stabilization technique, aiming to replace cement in earth stabilization. The first step in the method consists in a comprehensive review of earth stabilization with regards to earthen building standards and soil classification, which allows us to identify the research gap. The review showed that there is great potential in using other additives which result in similar improvements as those achieved by cement. However, the studies that have been conducted so far either use expansive soils, which are not suitable for earth constructions or artificial pozzolans that indirectly contribute to CO2 emissions. This is the main research gap. The key concept for the development in the second step of the method is to combine vernacular additives to both improve the strength and durability of plain earth and to reduce the CO2 emissions. Various earth-mixtures were prepared and both development and performance tests were done to investigate the performance of this technique. The laboratory analyses on mix-design have proven a high durability and the results show a remarkable increase in strength performance. Furthermore, a significant reduction in CO2 emissions in comparison to cement stabilization could be shown. The third step of the method discusses the results drawn from the experimental programme. In addition, the potential of the new earth mixture with regards to its usability in the field of building construction and architectural design is further elaborated on. The method used in this study is the first of its kind that allows investors to avoid the very time-consuming processes such as finding a suitable source for soil excavation and soil classification. The developed mixture has significant workability and suitability for production of stabilized earthen panels — the very first of its kind. Such a panel is practically feasible, reasonable, and could be integrated into earthen building standards in general and in particular to DIN 18948, which is related to earthen boards and published in 2018.}, subject = {Lehm}, language = {en} } @phdthesis{Vogler, author = {Vogler, Verena}, title = {A framework for artificial coral reef design: Integrating computational modelling and high precision monitoring strategies for artificial coral reefs - an Ecosystem-aware design approach in times of climate change}, isbn = {978-3-00-074495-2}, doi = {10.25643/bauhaus-universitaet.4611}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20220322-46115}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {243}, abstract = {Tropical coral reefs, one of the world's oldest ecosystems which support some of the highest levels of biodiversity on the planet, are currently facing an unprecedented ecological crisis during this massive human-activity-induced period of extinction. Hence, tropical reefs symbolically stand for the destructive effects of human activities on nature [4], [5]. Artificial reefs are excellent examples of how architectural design can be combined with ecosystem regeneration [6], [7], [8]. However, to work at the interface between the artificial and the complex and temporal nature of natural systems presents a challenge, i.a. in respect to the B-rep modelling legacy of computational modelling. The presented doctorate investigates strategies on how to apply digital practice to realise what is an essential bulwark to retain reefs in impossibly challenging times. Beyond the main question of integrating computational modelling and high precision monitoring strategies in artificial coral reef design, this doctorate explores techniques, methods, and linking frameworks to support future research and practice in ecology led design contexts. Considering the many existing approaches for artificial coral reefs design, one finds they often fall short in precisely understanding the relationships between architectural and ecological aspects (e.g. how a surface design and material composition can foster coral larvae settlement, or structural three-dimensionality enhance biodiversity) and lack an integrated underwater (UW) monitoring process. Such a process is necessary in order to gather knowledge about the ecosystem and make it available for design, and to learn whether artificial structures contribute to reef regeneration or rather harm the coral reef ecosystem. For the research, empirical experimental methods were applied: Algorithmic coral reef design, high precision UW monitoring, computational modelling and simulation, and validated through parallel real-world physical experimentation - two Artificial Reef Prototypes (ARPs) in Gili Trawangan, Indonesia (2012-today). Multiple discrete methods and sub techniques were developed in seventeen computational experiments and applied in a way in which many are cross valid and integrated in an overall framework that is offered as a significant contribution to the field. Other main contributions include the Ecosystem-aware design approach, Key Performance Indicators (KPIs) for coral reef design, algorithmic design and fabrication of Biorock cathodes, new high precision UW monitoring strategies, long-term real-world constructed experiments, new digital analysis methods and two new front-end web-based tools for reef design and monitoring reefs. The methodological framework is a finding of the research that has many technical components that were tested and combined in this way for the very first time. In summary, the thesis responds to the urgency and relevance in preserving marine species in tropical reefs during this massive extinction period by offering a differentiated approach towards artificial coral reefs - demonstrating the feasibility of digitally designing such 'living architecture' according to multiple context and performance parameters. It also provides an in-depth critical discussion of computational design and architecture in the context of ecosystem regeneration and Planetary Thinking. In that respect, the thesis functions as both theoretical and practical background for computational design, ecology and marine conservation - not only to foster the design of artificial coral reefs technically but also to provide essential criteria and techniques for conceiving them. Keywords: Artificial coral reefs, computational modelling, high precision underwater monitoring, ecology in design.}, subject = {Korallenriff}, language = {en} } @phdthesis{Mueller, author = {M{\"u}ller, Matthias}, title = {Salt-frost Attack on Concrete - New Findings regarding the Damage Mechanism}, doi = {10.25643/bauhaus-universitaet.4868}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20230103-48681}, school = {Bauhaus-Universit{\"a}t Weimar}, abstract = {The reduction of the cement clinker content is an important prerequisite for the improvement of the CO2-footprint of concrete. Nevertheless, the durability of such concretes must be sufficient to guarantee a satisfactory service life of structures. Salt frost scaling resistance is a critical factor in this regard, as it is often diminished at increased clinker substitution rates. Furthermore, only insufficient long-term experience for such concretes exists. A high salt frost scaling resistance thus cannot be achieved by applying only descriptive criteria, such as the concrete composition. It is therefore to be expected, that in the long term a performance based service life prediction will replace the descriptive concept. To achieve the important goal of clinker reduction for concretes also in cold and temperate climates it is important to understand the underlying mechanisms for salt frost scaling. However, conflicting damage theories dominate the current State of the Art. It was consequently derived as the goal of this thesis to evaluate existing damage theories and to examine them experimentally. It was found that only two theories have the potential to describe the salt frost attack satisfactorily - the glue spall theory and the cryogenic suction theory. The glue spall theory attributes the surface scaling to the interaction of an external ice layer with the concrete surface. Only when moderate amounts of deicing salt are present in the test solution the resulting mechanical properties of the ice can cause scaling. However, the results in this thesis indicate that severe scaling also occurs at deicing salt levels, at which the ice is much too soft to damage concrete. Thus, the inability of the glue spall theory to account for all aspects of salt frost scaling was shown. The cryogenic suction theory is based on the eutectic behavior of salt solutions, which consist of two phases - water ice and liquid brine - between the freezing point and the eutectic temperature. The liquid brine acts as an additional moisture reservoir, which facilitates the growth of ice lenses in the surface layer of the concrete. The experiments in this thesis confirmed, that the ice formation in hardened cement paste increases due to the suction of brine at sub-zero temperatures. The extent of additional ice formation was influenced mainly by the porosity and by the chloride binding capacity of the hardened cement paste. Consequently, the cryogenic suction theory plausibly describes the actual generation of scaling, but it has to be expanded by some crucial aspects to represent the salt frost scaling attack completely. The most important aspect is the intensive saturation process, which is ascribed to the so-called micro ice lens pump. Therefore a combined damage theory was proposed, which considers multiple saturation processes. Important aspects of this combined theory were confirmed experimentally. As a result, the combined damage theory constitutes a good basis to understand the salt frost scaling attack on concrete on a fundamental level. Furthermore, a new approach was identified, to account for the reduced salt frost scaling resistance of concretes with reduced clinker content.}, subject = {Beton}, language = {en} } @phdthesis{Liu, author = {Liu, Bokai}, title = {Stochastic multiscale modeling of polymeric nanocomposites using Data-driven techniques}, doi = {10.25643/bauhaus-universitaet.4637}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20220503-46379}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {134}, abstract = {In recent years, lightweight materials, such as polymer composite materials (PNCs) have been studied and developed due to their excellent physical and chemical properties. Structures composed of these composite materials are widely used in aerospace engineering structures, automotive components, and electrical devices. The excellent and outstanding mechanical, thermal, and electrical properties of Carbon nanotube (CNT) make it an ideal filler to strengthen polymer materials' comparable properties. The heat transfer of composite materials has very promising engineering applications in many fields, especially in electronic devices and energy storage equipment. It is essential in high-energy density systems since electronic components need heat dissipation functionality. Or in other words, in electronic devices the generated heat should ideally be dissipated by light and small heat sinks. Polymeric composites consist of fillers embedded in a polymer matrix, the first ones will significantly affect the overall (macroscopic) performance of the material. There are many common carbon-based fillers such as single-walled carbon nanotubes (SWCNT), multi-walled carbon nanotubes (MWCNT), carbon nanobuds (CNB), fullerene, and graphene. Additives inside the matrix have become a popular subject for researchers. Some extraordinary characters, such as high-performance load, lightweight design, excellent chemical resistance, easy processing, and heat transfer, make the design of polymeric nanotube composites (PNCs) flexible. Due to the reinforcing effects with different fillers on composite materials, it has a higher degree of freedom and can be designed for the structure according to specific applications' needs. As already stated, our research focus will be on SWCNT enhanced PNCs. Since experiments are timeconsuming, sometimes expensive and cannot shed light into phenomena taking place for instance at the interfaces/interphases of composites, they are often complemented through theoretical and computational analysis. While most studies are based on deterministic approaches, there is a comparatively lower number of stochastic methods accounting for uncertainties in the input parameters. In deterministic models, the output of the model is fully determined by the parameter values and the initial conditions. However, uncertainties in the input parameters such as aspect ratio, volume fraction, thermal properties of fiber and matrix need to be taken into account for reliable predictions. In this research, a stochastic multiscale method is provided to study the influence of numerous uncertain input parameters on the thermal conductivity of the composite. Therefore, a hierarchical multi-scale method based on computational homogenization is presented in to predict the macroscopic thermal conductivity based on the fine-scale structure. In order to study the inner mechanism, we use the finite element method and employ surrogate models to conduct a Global Sensitivity Analysis (GSA). The SA is performed in order to quantify the influence of the conductivity of the fiber, matrix, Kapitza resistance, volume fraction and aspect ratio on the macroscopic conductivity. Therefore, we compute first-order and total-effect sensitivity indices with different surrogate models. As stochastic multiscale models are computational expensive, surrogate approaches are commonly exploited. With the emergence of high performance computing and artificial intelligence, machine learning has become a popular modeling tool for numerous applications. Machine learning (ML) is commonly used in regression and maps data through specific rules with algorithms to build input and output models. They are particularly useful for nonlinear input-output relationships when sufficient data is available. ML has also been used in the design of new materials and multiscale analysis. For instance, Artificial neural networks and integrated learning seem to be ideally for such a task. They can theoretically simulate any non-linear relationship through the connection of neurons. Mapping relationships are employed to carry out data-driven simulations of inputs and outputs in stochastic modeling. This research aims to develop a stochastic multi-scale computational models of PNCs in heat transfer. Multi-scale stochastic modeling with uncertainty analysis and machine learning methods consist of the following components: -Uncertainty Analysis. A surrogate based global sensitivity analysis is coupled with a hierarchical multi-scale method employing computational homogenization. The effect of the conductivity of the fibers and the matrix, the Kapitza resistance, volume fraction and aspect ratio on the 'macroscopic' conductivity of the composite is systematically studied. All selected surrogate models yield consistently the conclusions that the most influential input parameters are the aspect ratio followed by the volume fraction. The Kapitza Resistance has no significant effect on the thermal conductivity of the PNCs. The most accurate surrogate model in terms of the R2 value is the moving least square (MLS). -Hybrid Machine Learning Algorithms. A combination of artificial neural network (ANN) and particle swarm optimization (PSO) is applied to estimate the relationship between variable input and output parameters. The ANN is used for modeling the composite while PSO improves the prediction performance through an optimized global minimum search. The thermal conductivity of the fibers and the matrix, the kapitza resistance, volume fraction and aspect ratio are selected as input parameters. The output is the macroscopic (homogenized) thermal conductivity of the composite. The results show that the PSO significantly improves the predictive ability of this hybrid intelligent algorithm, which outperforms traditional neural networks. -Stochastic Integrated Machine Learning. A stochastic integrated machine learning based multiscale approach for the prediction of the macroscopic thermal conductivity in PNCs is developed. Seven types of machine learning models are exploited in this research, namely Multivariate Adaptive Regression Splines (MARS), Support Vector Machine (SVM), Regression Tree (RT), Bagging Tree (Bag), Random Forest (RF), Gradient Boosting Machine (GBM) and Cubist. They are used as components of stochastic modeling to construct the relationship between the variable of the inputs' uncertainty and the macroscopic thermal conductivity of PNCs. Particle Swarm Optimization (PSO) is used for hyper-parameter tuning to find the global optimal values leading to a significant reduction in the computational cost. The advantages and disadvantages of various methods are also analyzed in terms of computing time and model complexity to finally give a recommendation for the applicability of different models.}, subject = {Polymere}, language = {en} } @phdthesis{Habtemariam, author = {Habtemariam, Abinet Kifle}, title = {Generalized Beam Theory for the analysis of thin-walled circular pipe members}, doi = {10.25643/bauhaus-universitaet.4572}, url = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20220127-45723}, school = {Bauhaus-Universit{\"a}t Weimar}, pages = {188}, abstract = {The detailed structural analysis of thin-walled circular pipe members often requires the use of a shell or solid-based finite element method. Although these methods provide a very good approximation of the deformations, they require a higher degree of discretization which causes high computational costs. On the other hand, the analysis of thin-walled circular pipe members based on classical beam theories is easy to implement and needs much less computation time, however, they are limited in their ability to approximate the deformations as they cannot consider the deformation of the cross-section. This dissertation focuses on the study of the Generalized Beam Theory (GBT) which is both accurate and efficient in analyzing thin-walled members. This theory is based on the separation of variables in which the displacement field is expressed as a combination of predetermined deformation modes related to the cross-section, and unknown amplitude functions defined on the beam's longitudinal axis. Although the GBT was initially developed for long straight members, through the consideration of complementary deformation modes, which amend the null transverse and shear membrane strain assumptions of the classical GBT, problems involving short members, pipe bends, and geometrical nonlinearity can also be analyzed using GBT. In this dissertation, the GBT formulation for the analysis of these problems is developed and the application and capabilities of the method are illustrated using several numerical examples. Furthermore, the displacement and stress field results of these examples are verified using an equivalent refined shell-based finite element model. The developed static and dynamic GBT formulations for curved thin-walled circular pipes are based on the linear kinematic description of the curved shell theory. In these formulations, the complex problem in pipe bends due to the strong coupling effect of the longitudinal bending, warping and the cross-sectional ovalization is handled precisely through the derivation of the coupling tensors between the considered GBT deformation modes. Similarly, the geometrically nonlinear GBT analysis is formulated for thin-walled circular pipes based on the nonlinear membrane kinematic equations. Here, the initial linear and quadratic stress and displacement tangent stiffness matrices are built using the third and fourth-order GBT deformation mode coupling tensors. Longitudinally, the formulation of the coupled GBT element stiffness and mass matrices are presented using a beam-based finite element formulation. Furthermore, the formulated GBT elements are tested for shear and membrane locking problems and the limitations of the formulations regarding the membrane locking problem are discussed.}, subject = {Finite-Elemente-Methode}, language = {en} }