Refine
Document Type
- Conference Proceeding (286) (remove)
Institute
- In Zusammenarbeit mit der Bauhaus-Universität Weimar (174)
- Graduiertenkolleg 1462 (31)
- Institut für Strukturmechanik (ISM) (22)
- Professur Informatik im Bauwesen (21)
- Professur Angewandte Mathematik (18)
- Institut für Konstruktiven Ingenieurbau (IKI) (8)
- Professur Stahlbau (4)
- Institut für Bauinformatik, Mathematik und Bauphysik (IBMB) (3)
- Professur Informatik in der Architektur (3)
- Professur Stochastik und Optimierung (3)
Keywords
- Computerunterstütztes Verfahren (286) (remove)
Modern distributed engineering applications are based on complex systems consisting of various subsystems that are connected through the Internet. Communication and collaboration within an entire system requires reliable and efficient data exchange between the subsystems. Middleware developed within the web evolution during the past years provides reliable and efficient data exchange for web applications, which can be adopted for solving the data exchange problems in distributed engineering applications. This paper presents a generic approach for reliable and efficient data exchange between engineering devices using existing middleware known from web applications. Different existing middleware is examined with respect to the suitability in engineering applications. In this paper, a suitable middleware is shown and a prototype implementation simulating distributed wind farm control is presented and validated using several performance measurements.
Interactive visualization based on 3D computer graphics nowadays is an indispensable part of any simulation software used in engineering. Nevertheless, the implementation of such visualization software components is often avoided in research projects because it is a challenging and potentially time consuming task. In this contribution, a novel Java framework for the interactive visualization of engineering models is introduced. It supports the task of implementing engineering visualization software by providing adequate program logic as well as high level classes for the visual representation of entities typical for engineering models. The presented framework is built on top of the open source visualization toolkit VTK. In VTK, a visualization model is established by connecting several filter objects in a so called visualization pipeline. Although designing and implementing a good pipeline layout is demanding, VTK does not support the reuse of pipeline layouts directly. Our framework tailors VTK to engineering applications on two levels. On the first level it adds new – engineering model specific – filter classes to VTK. On the second level, ready made pipeline layouts for certain aspects of engineering models are provided. For instance there is a pipeline class for one-dimensional elements like trusses and beams that is capable of showing the elements along with deformations and member forces. In order to facilitate the implementation of a graphical user interface (GUI) for each pipeline class, there exists a reusable Java Swing GUI component that allows the user to configure the appearance of the visualization model. Because of the flexible structure, the framework can be easily adapted and extended to new problem domains. Currently it is used in (i) an object-oriented p-version finite element code for design optimization, (ii) an agent based monitoring system for dam structures and (iii) the simulation of destruction processes by controlled explosives based on multibody dynamics. Application examples from all three domains illustrates that the approach presented is powerful as well as versatile.
The methods currently used for scheduling building processes have some major advantages as well as disadvantages. The main advantages are the arrangement of the tasks of a project in a clear, easily readable form and the calculation of valuable information like critical paths. The main disadvantage on the other hand is the inflexibility of the model caused by the modeling paradigms. Small changes of the modeled information strongly influence the whole model and lead to the need to change many more details in the plan. In this article an approach is introduced allowing the creation of more flexible schedules. It aims towards a more robust model that lowers the need to change more than a few information while being able to calculate the important propositions of the known models and leading to further valuable conclusions.
The contribution focuses on the development of a basic computational scheme that provides a suitable calculation environment for the coupling of analytical near-field solutions with numerical standard procedures in the far-field of the singularity. The proposed calculation scheme uses classical methods of complex function theory, which can be generalized to 3-dimensional problems by using the framework of hypercomplex analysis. The adapted approach is mainly based on the factorization of the Laplace operator EMBED Equation.3 by the Cauchy-Riemann operator EMBED Equation.3 , where exact solutions of the respective differential equation are constructed by using an orthonormal basis of holomorphic and anti-holomorphic functions.
In classical complex function theory the geometric mapping property of conformality is closely linked with complex differentiability. In contrast to the planar case, in higher dimensions the set of conformal mappings is only the set of Möbius transformations. Unfortunately, the theory of generalized holomorphic functions (by historical reasons they are called monogenic functions) developed on the basis of Clifford algebras does not cover the set of Möbius transformations in higher dimensions, since Möbius transformations are not monogenic. But on the other side, monogenic functions are hypercomplex differentiable functions and the question arises if from this point of view they can still play a special role for other types of 3D-mappings, for instance, for quasi-conformal ones. On the occasion of the 16th IKM 3D-mapping methods based on the application of Bergman's reproducing kernel approach (BKM) have been discussed. Almost all authors working before that with BKM in the Clifford setting were only concerned with the general algebraic and functional analytic background which allows the explicit determination of the kernel in special situations. The main goal of the abovementioned contribution was the numerical experiment by using a Maple software specially developed for that purpose. Since BKM is only one of a great variety of concrete numerical methods developed for mapping problems, our goal is to present a complete different from BKM approach to 3D-mappings. In fact, it is an extension of ideas of L. V. Kantorovich to the 3-dimensional case by using reduced quaternions and some suitable series of powers of a small parameter. Whereas until now in the Clifford case of BKM the recovering of the mapping function itself and its relation to the monogenic kernel function is still an open problem, this approach avoids such difficulties and leads to an approximation by monogenic polynomials depending on that small parameter.
Die Sicherung der Wettbewerbsfähigkeit im Bereich des Bauwesens, insbesondere kleinerer und mittelständischer Betriebe erfordert ein aktives Handeln als Antwort auf die sich ändernde Wettbewerbssituation. Einen wesentlichen Wettbewerbsvorteil können kleine unternehmerische Einheiten durch höhere Flexibilität, schnelle Reaktion auf Kundenwünsche oder aktuelle Situationen auf der Baustelle und Marktnähe erreichen. Dazu ist es nötig, die Informations- und Kommunikationsströme durch Einsatz standardisierter und kostengünstiger Hard- und Software wie z.B. Handhelds zu unterstützen und insbesondere die existierenden Hindernisse im Informationsfluss zwischen Baustelle und Büro zu beseitigen. Am Beispiel der Projekte >IuK - SystemBau< und >eSharing< wird eine Einführungsstrategie für >Mobile Computing< in kleinen unternehmerischen Einheiten des Bauwesens (KMU) basierend auf einer umfangreichen Anforderungsanalyse vorgestellt. Folgende Aspekte sollen beschrieben werden: durchgängiger Einsatz der Technik unter Beachtung der verschiedenen Qualifikationsniveaus, Einführungsunterstützung durch Schulungen, Prozessanalyse und mögliche Integration in bestehende Software-Umgebungen sowie Feldtests.