2893 research outputs found
Sort by
Methoden zur Quantifizierung und Optimierung der Robustheit von Bauablaufplänen
No full textBauablaufplänen kommt bei der Realisierung von Bauprojekten eine zentrale Rolle zu. Sie dienen der Koordination von Schnittstellen und bilden für die am Projekt Beteiligten die Grundlage für ihre individuelle Planung. Eine verlässliche Terminplanung ist daher von großer Bedeutung, tatsächlich sind aber gerade Bauablaufpläne für ihre Unzuverlässigkeit bekannt.
Aufgrund der langen Vorlaufzeiten bei der Planung von Bauprojekten sind zum Zeitpunkt der Planung viele Informationen nur als Schätzwerte bekannt. Auf der Grundlage dieser geschätzten und damit mit Unsicherheiten behafteten Daten werden im Bauwesen deterministische Terminpläne erstellt. Kommt es während der Realisierung zu Diskrepanzen zwischen Schätzungen und Realität, erfordert dies die Anpassung der Pläne. Aufgrund zahlreicher Abhängigkeiten zwischen den geplanten Aktivitäten können einzelne Planänderungen vielfältige weitere Änderungen und Anpassungen nach sich ziehen und damit einen reibungslosen Projektablauf gefährden.
In dieser Arbeit wird ein Vorgehen entwickelt, welches Bauablaufpläne erzeugt, die im Rahmen der durch das Projekt definierten Abhängigkeiten und Randbedingungen in der Lage sind, Änderungen möglichst gut zu absorbieren. Solche Pläne, die bei auftretenden Änderungen vergleichsweise geringe Anpassungen des Terminplans erfordern, werden hier als robust bezeichnet.
Ausgehend von Verfahren der Projektplanung und Methoden zur Berücksichtigung von Unsicherheiten werden deterministische Terminpläne bezüglich ihres Verhaltens bei eintretenden Änderungen betrachtet. Hierfür werden zunächst mögliche Unsicherheiten als Ursachen für Änderungen benannt und mathematisch abgebildet. Damit kann das Verhalten von Abläufen für mögliche Änderungen betrachtet werden, indem die durch Änderungen erzwungenen angepassten Terminpläne simuliert werden. Für diese Monte-Carlo-Simulationen der angepassten Terminpläne wird sichergestellt, dass die angepassten Terminpläne logische Weiterentwicklungen des deterministischen Terminplans darstellen. Auf der Grundlage dieser Untersuchungen wird ein stochastisches Maß zur Quantifizierung der Robustheit erarbeitet, welches die Fähigkeit eines Planes, Änderungen zu absorbieren, beschreibt. Damit ist es möglich, Terminpläne bezüglich ihrer Robustheit zu vergleichen.
Das entwickelte Verfahren zur Quantifizierung der Robustheit wird in einem Optimierungsverfahren auf Basis Genetischer Algorithmen angewendet, um gezielt robuste Terminpläne zu erzeugen. An Beispielen werden die Methoden demonstriert und ihre Wirksamkeit nachgewiesen.Construction schedules are of significant importance in the execution of building projects. As basis for individual project planning of all project stakeholders, construction schedules support the coordination of interfaces. While reliable scheduling is of particular relevance
for the entire project, construction schedules are known to be notoriously unreliable.
Because of long project preparations in civil engineering, information necessary for scheduling is often estimated at the time of drafting construction plans. Therefore uncertain data form the basis of deterministic schedules prepared to guide building executions. When discrepancies between assumptions and reality occur during building processes, schedules need to be adjusted. Due to many interdependencies between construction processes, certain schedule changes may lead to significant further changes and adjustments and may jeopardise a smooth project execution.
This thesis develops a method to generate construction schedules that can absorb project changes while considering the interdependencies and boundary conditions imposed by the project specifics. Schedules that require comparatively small adjustments in case of project changes are referred to as robust.
Based on methods for project scheduling and for representing process uncertainties, deterministic schedules are studied with respect to their behaviour under changes. Reasons for uncertainties are discussed and transferred into a mathematical description of process changes. Defining process changes mathematically allows analysing schedule adjustments arising from project changes by generating adjusted schedules in Monte Carlo simulations. In this thesis, efforts are made to ensure that schedules created by simulation are logical advancements of the respective original, deterministic schedules. Interpretations of the results of the stochastic simulations serve as basis for quantifying schedule robustness to describe the ability of a schedule to absorb changes. The definition of a robustness measure allows the comparison of schedules in terms of their robustness.
The method developed herin is then employed as part of an optimisation procedure based on genetic algorithms to systematically generate robust schedules. To demonstrate their effectiveness, the methods are validated using practical examples
Handlungsressourcen von zivilgesellschaftlichen Akteuren in Planungsprozessen
No full textDiese Dissertation untersucht Handlungsressourcen von zivilgesellschaftlichen Akteuren in Planungsprozessen um innerstädtische Planungsverfahren. Den theoretischen Rahmen bilden die Kapitalarten von Pierre Bourdieu, die zusammen mit dem Matrixraum von Dieter Läpple zu einem neuen Feldbegriff des ‚Raumfeldes‘ zusammengeführt und operationalisiert wurden. Es handelt sich um eine qualitative Arbeit, die zwischen Stadtsoziologie und Urbanistik zu verorten ist. Als Fallbeispiele wurde die Erweiterung des Berliner Mauerparks sowie das Baugebiet „So! Berlin“ in Berlin gewählt
Analysis of three-dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis
No full textIn this work, we present a deep collocation method (DCM) for three-dimensional potential problems in non-homogeneous media. This approach utilizes a physics-informed neural network with material transfer learning reducing the solution of the non-homogeneous partial differential equations to an optimization problem. We tested different configurations of the physics-informed neural network including smooth activation functions, sampling methods for collocation points generation and combined optimizers. A material transfer learning technique is utilized for non-homogeneous media with different material gradations and parameters, which enhance the generality and robustness of the proposed method. In order to identify the most influential parameters of the network configuration, we carried out a global sensitivity analysis. Finally, we provide a convergence proof of our DCM. The approach is validated through several benchmark problems, also testing different material variations
Damage Sensitive Signals for the Assessment of the Conditions of Wind Turbine Rotor Blades Using Electromagnetic Waves
No full textOne of the most important renewable energy technologies used nowadays are wind power turbines. In this paper, we are interested in identifying the operating status of wind turbines, especially rotor blades, by means of multiphysical models. It is a state-of-the-art technology to test mechanical structures with ultrasonic-based methods. However, due to the density and the required high resolution, the testing is performed with high-frequency waves, which cannot penetrate the structure in depth. Therefore, there is a need to adopt techniques in the fields of multiphysical model-based inversion schemes or data-driven structural health monitoring. Before investing effort in the development of such approaches, further insights and approaches are necessary to make the techniques applicable to structures such as wind power plants (blades). Among the expected developments, further accelerations of the so-called “forward codes” for a more efficient implementation of the wave equation could be envisaged. Here, we employ electromagnetic waves for the early detection of cracks. Because in many practical situations, it is not possible to apply techniques from tomography (characterized by multiple sources and sensor pairs), we focus here on the question of whether the existence of cracks can be determined by using only one source for the sent waves
Schwerpunkt ANT und die Medien
Full text linkDie zunehmende und sich zunehmend ausfächernde Rezeption der Akteur-Netzwerk-Theorie (ANT) in der deutschsprachigen Medientheorie ist als eine der interessantesten Konjunkturen der kulturwissenschaftlichen Medienforschung in den letzten Jahren bezeichnet worden. Zweifellos hängt diese Faszination mit dem Umstand zusammen, dass der Ansatz der ANT der deutschsprachigen Medienforschung einen Ausweg verspricht aus einer Situation, die lange geprägt war vom Gegensatz zwischen Soziologie und Technikmaterialismus oder, mit anderen Worten, vom aufreibenden Kampf um die letztbegründende Instanz des Sozialen oder des Technischen. Da, anders als zum Beispiel in Frankreich und England, hierzulande die Geisteswissenschaften, insbesondere die Literaturwissenschaft, eine wichtige Rolle bei der Entstehung der Medienwissenschaft gespielt haben, konnte dieser noch heute Disziplinen und Forscher voneinander trennende Dissens auch die Gestalt eines Streits um die letztbegründende Instanz des Sinns oder des Nichtsinns, des Hermeneutischen oder des Nichthermeneutischen annehmen. Dabei ist die Frage, ob technische Objekte vollständig sozial konstruiert sind oder das Soziale eine Fiktion ist, die von Techniken produziert wird; oder ob dieser Gegensatz selbst nur ein konstruierter ist, durchaus eine Frage, die auch die ANT im Laufe ihrer ebenfalls durch Querelen gekennzeichneten Geschichte beschäftigt hat. Während die ANT der deutschsprachigen Medienwissenschaft also einerseits ein Versprechen zu machen scheint, so droht sie der kulturwissenschaftlichen Medienforschung andererseits mit dem Verlust ihres ›Markenzeichens‹: der emphatisch betonten empirisch-transzendentalen Sonderrolle der Medien. Daher sieht sich die medienwissenschaftliche Forschung, zumindest soweit sie einen humanwissenschaftlichen Hintergrund hat, der ANT gegenüber zu einer »Gretchenfrage« herausgefordert: Wie hältst du es mit den Medien? Die Antwort fällt, wie könnte es anders sein, zweideutig aus
Analysis of Functionally Graded Porous Materials Using Deep Energy Method and Analytical Solution
No full textPorous materials are an emerging branch of engineering materials that are composed of two elements: One element is a solid (matrix), and the other element is either liquid or gas. Pores can be distributed within the solid matrix of porous materials with different shapes and sizes. In addition, porous materials are lightweight, and flexible, and have higher resistance to crack propagation and specific thermal, mechanical, and magnetic properties. These properties are necessary for manufacturing engineering structures such as beams and other engineering structures. These materials are widely used in solid mechanics and are considered a good replacement for classical materials by many researchers recently. Producing lightweight materials has been developed because of the possibility of exploiting the properties of these materials. Various types of porous material are generated naturally or artificially for a specific application such as bones and foams. Like functionally graded materials, pore distribution patterns can be uniform or non-uniform. Biot’s theory is a well-developed theory to study the behavior of poroelastic materials which investigates the interaction between fluid and solid phases of a fluid-saturated porous medium.
Functionally graded porous materials (FGPM) are widely used in modern industries, such as aerospace, automotive, and biomechanics. These advanced materials have some specific properties compared to materials with a classic structure. They are extremely light, while they have specific strength in mechanical and high-temperature environments. FGPMs are characterized by a gradual variation of material parameters over the volume. Although these materials can be made naturally, it is possible to design and manufacture them for a specific application. Therefore, many studies have been done to analyze the mechanical and thermal properties of FGPM structures, especially beams.
Biot was the pioneer in formulating the linear elasticity and thermoelasticity equations of porous material. Since then, Biot's formulation has been developed in continuum mechanics which is named poroelasticity. There are obstacles to analyzing the behavior of these materials accurately like the shape of the pores, the distribution of pores in the material, and the behavior of the fluid (or gas) that saturated pores. Indeed, most of the engineering structures made of FGPM have nonlinear governing equations. Therefore, it is difficult to study engineering structures by solving these complicated equations.
The main purpose of this dissertation is to analyze porous materials in engineering structures. For this purpose, the complex equations of porous materials have been simplified and applied to engineering problems so that the effect of all parameters of porous materials on the behavior of engineering structure has been investigated.
The effect of important parameters of porous materials on beam behavior including pores compressibility, porosity distribution, thermal expansion of fluid within pores, the interaction of stresses between pores and material matrix due to temperature increase, effects of pore size, material thickness, and saturated pores with fluid and unsaturated conditions are investigated.
Two methods, the deep energy method, and the exact solution have been used to reduce the problem hypotheses, increase accuracy, increase processing speed, and apply these in engineering structures. In both methods, they are analyzed nonlinear and complex equations of porous materials.
To increase the accuracy of analysis and study of the effect of shear forces, Timoshenko and Reddy's beam theories have been used. Also, neural networks such as residual and fully connected networks are designed to have high accuracy and less processing time than other computational methods
Was ist Stadt? Was ist Kritik? Einführung in die Debatte zum Jubiläumsheft von sub\urban
No full textIm Heft zum zehnjährigen Jubiläum von sub\urban mit dem Themenschwerpunkt „sub\x: Verortungen, Entortungen" veröffentlichen wir eine Debatte, die von den bisherigen in unserer Zeitschrift in dieser Rubrik geführten textlichen Diskussionen abweicht. Im Vorfeld der Planungen für unsere Jubiläumsausgabe haben wir die aktuellen Mitglieder unseres wissenschaftlichen Beirats darum gebeten, zwei grundlegende Fragen von kritischer Stadtforschung in kurzen Beiträgen zu diskutieren: Was ist Stadt? Was ist Kritik
Optimization of multi-component cements containing clinker, slag, V-fly ash, limestone
No full textThe aim of this study was to investigate the optimization of the strength development of quaternary cements with 50 % clinker by a variation of the particle size distribution of the components GGBFS, fly ash and limestone powder.
By balancing the overall PSD of the cement by using unprocessed fly ash and coarse limestone powder in combination with a very fine GGBFS, the water demand of the resulting quaternary cements remained unaltered, while the compressive strength of the cements was increased significantly after 7d, 28 and 56d. As can be expected, the quaternary cement with 30 wt.% of the fine slag exhibited a stronger strength increase (about 18 % after 28 d) than the cements with only 20 wt.% slag (about 10% after 28d)
Stochastic deep collocation method based on neural architecture search and transfer learning for heterogeneous porous media
No full textWe present a stochastic deep collocation method (DCM) based on neural architecture search (NAS) and transfer learning for heterogeneous porous media. We first carry out a sensitivity analysis to determine the key hyper-parameters of the network to reduce the search space and subsequently employ hyper-parameter optimization to finally obtain the parameter values. The presented NAS based DCM also saves the weights and biases of the most favorable architectures, which is then used in the fine-tuning process. We also employ transfer learning techniques to drastically reduce the computational cost. The presented DCM is then applied to the stochastic analysis of heterogeneous porous material. Therefore, a three dimensional stochastic flow model is built providing a benchmark to the simulation of groundwater flow in highly heterogeneous aquifers. The performance of the presented NAS based DCM is verified in different dimensions using the method of manufactured solutions. We show that it significantly outperforms finite difference methods in both accuracy and computational cost
Implicit implementation of the nonlocal operator method: an open source code
No full textIn this paper, we present an open-source code for the first-order and higher-order nonlocal operator method (NOM) including a detailed description of the implementation. The NOM is based on so-called support, dual-support, nonlocal operators, and an operate energy functional ensuring stability. The nonlocal operator is a generalization of the conventional differential operators. Combined with the method of weighed residuals and variational principles, NOM establishes the residual and tangent stiffness matrix of operate energy functional through some simple matrix without the need of shape functions as in other classical computational methods such as FEM. NOM only requires the definition of the energy drastically simplifying its implementation. The implementation in this paper is focused on linear elastic solids for sake of conciseness through the NOM can handle more complex nonlinear problems. The NOM can be very flexible and efficient to solve partial differential equations (PDEs), it’s also quite easy for readers to use the NOM and extend it to solve other complicated physical phenomena described by one or a set of PDEs. Finally, we present some classical benchmark problems including the classical cantilever beam and plate-with-a-hole problem, and we also make an extension of this method to solve complicated problems including phase-field fracture modeling and gradient elasticity material