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In dem Forschungsvorhaben “Schubtragverhalten des Stahlbetongurtes von Verbundträgern im Bereich von großen Stegöffnungen“ wurden umfangreiche experimentelle und rechnerische Untersuchungen zum Querkrafttragverhalten und zur Querkrafttragfähigkeit des Betongurts im Bereich von großen Stegöffnungen durchgeführt. Anhand von 21 großmaßstäblichen Traglastversuchen, die erstmals so konzipiert waren, dass im Öffnungsbereich nahezu die gesamte Querkraft durch den Betongurt übertragen werden musste, konnte die Querkrafttragfähigkeit des Betongurts bestimmt werden. Neue Erkenntnisse über den Lastabtragungs- und Versagensmechanismus im Öffnungsbereich konnten durch die Auswertung der Dehnungen der Kopfbolzendübel im Öffnungsbereich und das nachträgliche Aufsägen des Betongurts der Versuchsträger gewonnen werden. Im rechnerischen Teil wurden ein dreidimensionales FE-Modell erstellt, das die Versuche in ihren wesentlichen Teilen abbildete, und Vergleichsberechnungen durchgeführt. Durch den Vergleich der rechnerischen mit den experimentell ermittelten Werten wurde das Modell überprüft. Auf dieser Grundlage wurden anschließend Parameteruntersuchungen durchgeführt. Schließlich wurde auf der Basis der experimentellen und rechnerischen Untersuchungen ein Ingenieurmodell zur Bestimmung der Querkrafttragfähigkeit im Öffnungsbereich entwickelt, mit dem sich die Querkrafttragfähigkeit des Betongurts im Öffnungsbereich nachweisen lässt. Ferner stellte sich heraus, dass die Querkrafttragfähigkeit des Betongurts im Öffnungsbereich durch Dübelleisten erheblich gesteigert werden kann, was wirtschaftliche Vorteile eröffnet.
During the recent years, multiobjective evolutionary algorithms have matured as a flexible optimization tool which can be used in various areas of reallife applications. Practical experiences showed that typically the algorithms need an essential adaptation to the specific problem for a successful application. Considering these requirements, we discuss various issues of the design and application of multiobjective evolutionary algorithms to real-life optimization problems. In particular, questions on problem-specific data structures and evolutionary operators and the determination of method parameters are treated. As a major issue, the handling of infeasible intermediate solutions is pointed out. Three application examples in the areas of constrained global optimization (electronic circuit design), semi-infinite programming (design centering problems), and discrete optimization (project scheduling) are discussed.
This paper analyzes and solves a patient transportation problem arising in several large hospitals. The aim is to provide an efficient and timely transport service to patients between several locations on a hospital campus. Transportation requests arrive in a dynamic fashion and the solution methodology must therefore be capable of quickly inserting new requests in the current vehicle routes. Contrary to standard dial-a-ride problems, the problem under study contains several complicating constraints which are specific to a hospital context. The paper provides a detailed description of the problem and proposes a two-phase heuristic procedure capable of handling its many features. In the first phase a simple insertion scheme is used to generate a feasible solution, which is improved in the second phase with a tabu search algorithm. The heuristic procedure was extensively tested on real data provided by a German hospital. Results show that the algorithm is capable of handling the dynamic aspect of the problem and of providing high quality solutions. In particular, it succeeded in reducing waiting times for patients while using fewer vehicles.
It is commonly believed that not all degrees of freedom are needed to produce good solutions for the treatment planning problem in intensity modulated radiotherapy treatment (IMRT). However, typical methods to exploit this fact have either increased the complexity of the optimization problem or were heuristic in nature. In this work we introduce a technique based on adaptively refining variable clusters to successively attain better treatment plans. The approach creates approximate solutions based on smaller models that may get arbitrarily close to the optimal solution. Although the method is illustrated using a specific treatment planning model, the components constituting the variable clustering and the adaptive refinement are independent of the particular optimization problem.
Selbstorganisation ist eine interessante und vielversprechende Möglichkeit, um die Komplexität verteilter Systeme beherrschbar zu machen. In diesem Beitrag schlagen wir ein leistungsfähiges Rechnersystem auf Basis von rekonfigurierbarer Hardware vor, welches aufgrund seiner Flexibilität in vielen Bereichen eingesetzt werden kann. Es wird die geplante Systemarchitektur und Systemsoftware beschrieben und ein intelligentes, verteiltes Kamerasystem vorgestellt, welches wir als Anwendung mit dem vorgeschlagenen System realisieren wollen, um Selbstorganisation in verteilten Systemen näher zu untersuchen.
In this paper we present and investigate a stochastic model for the lay-down of fibers on a conveyor belt in the production process of nonwovens. The model is based on a stochastic differential equation taking into account the motion of the ber under the influence of turbulence. A reformulation as a stochastic Hamiltonian system and an application of the stochastic averaging theorem lead to further simplications of the model. Finally, the model is used to compute the distribution of functionals of the process that might be helpful for the quality assessment of industrial fabrics.
Web-based authentication is a popular mechanism implemented by Wireless Internet Service Providers (WISPs) because it allows a simple registration and authentication of customers, while avoiding the high resource requirements of the new IEEE 802.11i security standard and the backward compatibility issues of legacy devices. In this work we demonstrate two different and novel attacks against web-based authentication. One attack exploits operational anomalies of low- and middle-priced devices in order to hijack wireless clients, while the other exploits an already known vulnerability within wired-networks, which in dynamic wireless environments turns out to be even harder to detect and protect against.
Over a period of 30 years, ITU-T’s Specification and Description Language (SDL) has matured to a sophisticated formal modelling language for distributed systems and communication protocols. The language definition of SDL-2000, the latest version of SDL, is complex and difficult to maintain. Full tool support for SDL is costly to implement. Therefore, only subsets of SDL are currently supported by tools. These SDL subsets - called SDL profiles - already cover a wide range of systems, and are often suffcient in practice. In this report, we present our approach for extracting the formal semantics for SDL profiles from the complete SDL semantics. We then formalise the approach, present our SDL-profile tool, and report on our experiences.
Die Inhalte der in zwei verschiedenen Bundesländern angebotenen Weiterbildungsveranstaltungen für Lehrer und Lehrerinnen aus dem psychologischen Themenfeld wurden den Themenbereichen des Rahmencurriculums "Psychologie in den Lehramtsstudiengängen" der Deutschen Gesellschaft für Psychologie (DGPs, 2002) zugeordnet. Sodann wurden die Angebote der Weiterbildungsinstitute mit Relevanzeinschätzungen derselben Themenbereiche durch Lehrkräfte aller Schularten verglichen. Diese Relevanzeinschätzungen waren in einer Fragebogenstudie (Dutke & Singleton, 2006a,b) von 233 Lehrkräften erhoben worden. Angebots- und Relevanzprofile waren korreliert. Im Vergleich zu den Relevanzurteilen unterrepräsentiert waren Themen wie motivationale und emotionale Bedingungen des Lernens und Lehrens, Interventionsmöglichkeiten bei Lern- und Leistungsauffälligkeiten oder der Umgang mit sozial-emotional auffälligem Verhalten. Im Angebot eher überrepräsentiert schienen Grundlagenfragen der Beratung und Intervention zu sein. Implikationen einer nachfrageorientierten Gestaltung der Weiterbildungsangebote sowie Konsequenzen für die Positionierung der Psychologie im Weiterbildungssektor für Lehrkräfte werden diskutiert.
For the last decade, optimization of beam orientations in intensitymodulated radiation therapy (IMRT) has been shown to be successful in improving the treatment plan. Unfortunately, the quality of a set of beam orientations depends heavily on its corresponding beam intensity proles. Usually, a stochastic selector is used for optimizing beam orientation, and then a single objective inverse treatment planning algorithm is used for the optimization of beam intensity proles. The overall time needed to solve the inverse planning for every random selection of beam orientations becomes excessive. Recently, considerable improvement has been made in optimizing beam intensity proles by using multiple objective inverse treatment planning. Such an approach results in a variety of beam intensity proles for every selection of beam orientations, making the dependence between beam orientations and its intensity proles less important. We take advantage of this property to present a dynamic algorithm for beam orientation in IMRT which is based on multicriteria inverse planning. The algorithm approximates beam intensity proles iteratively instead of doing it for every selection of beam orientation, saving a considerable amount of calculation time. Every iteration goes from an N-beam plan to a plan with N + 1 beams. Beam selection criteria are based on a score function that minimizes the deviation from the prescribed dose, in addition to a reject-accept criterion. To illustrate the eciency of the algorithm it has been applied to an articial example where optimality is trivial and to three real clinical cases: a prostate carcinoma, a tumor in the head and neck region and a paraspinal tumor. In comparison to the standard equally spaced beam plans, improvements are reported in all of the three clinical examples, even, in some cases with a fewer number of beams.