Im Rahmen der Arbeit in der damaligen DFG-Forschungsgruppe ¨Scientific Parallel Computing¨ wurde ein hierarchischer paralleler Netzgenerator fuer das Finite-Elemente- Programmpaket SPC-PM CFD unter dem Namen NETGEN69 entwickelt. Als Programmiersprache wurde seinerzeit - wie auch in den FEM-Programmen selbst - FORTRAN benutzt. Im Rahmen des Teilprojektes B2 im Sonderforschungsbereich 393 bestand nunmehr die Aufgabe, den Netzgenerator in ein objektorientiertes Layout zu fassen und in C++zu implementieren. Die Beschreibung von Ein- und Ausgabedaten kann in [3] nachgelesen werden. Die Form der Eingabedaten hat sich aus Kompatibilitaetsgruenden nicht geaendert und wird auch in Zukunft so beibehalten werden. Auch das der Assemblierung und FEM-Rechnung zuge- wandte Interface wurde vorerst nicht geaendert. Ein Wrapper, der fuer die Generierung der erwarteten Ausgabedaten aus den netzgeneratoreigenen Datenbestaenden sorgt, ist derzeit in Planung. Diese Lösung ist freilich nur voruebergehender Natur; sie ermoeglicht es uns, den Netzgenerator innerhalb der FEM-Bibliotheken zu testen.

Thesis (M. Sc.)--York University, 1999. Department of Computer Science. / Typescript. Includes bibliographical references (leaves. Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://wwwlib.umi.com/cr/yorku/fullcit?pMQ39189.

Thesis (Ph.D.)--University of Western Sydney, 2009. / A thesis presented to the University of Western Sydney, College of Health and Science, School of Computing and Mathematics, in fulfilment of the requirements for the degree of Doctor of Philosophy. Includes bibliographies.

After September 11, 2001, government officials and the engineering community have devoted significant time and resources to protect the country from such attacks again. Because highway infrastructure plays such a critical role in the public’s daily life, research has been conducted to determine the resiliency of various bridge components subjected to blast loads. While more tests are needed, it is now time to transfer the research into tools to be used by the design community. The development of Anti-Terrorism Planner for Bridges (ATP-Bridge), a program intended to be used by bridge engineers and planners to investigate blast loads against bridges, is explained in this thesis. The overall project goal was to build a program that can incorporate multiple bridge components while still maintaining a simple, user-friendly interface. This goal was achieved by balancing three core areas: constraining the graphical user interface (GUI) to similar themes across the program, allowing flexibility in the creation of the numerical models, and designing the data structures using object-oriented programming concepts to connect the GUI with the numerical models. An example of a solver (prestressed girder with advanced SDOF analysis model) is also presented to illustrate a fast-running algorithm. The SDOF model incorporates the development of a moment-curvature response curve created by a layer-by-layer analysis, a non-linear static analysis accounting for both geometric non-linearity as well as material non-linearity, and a Newmark-beta-based SDOF analysis. The results of the model return the dynamic response history and the amount of damage. ATP-Bridge is the first software developed that incorporates multiple bridge components into one user-friendly engineering tool for protecting bridge structures against terrorist threats. The software is intended to serve as a synthesis of state-of-the-art knowledge, with future updates made to the program as more research becomes available. In contrast to physical testing and high-fidelity finite element simulations, ATP-Bridge uses less time-consuming, more cost effective numerical models to generate dynamic response data and damage estimates. With this tool, engineers and planners will be able to safeguard the nation’s bridge inventory and, in turn, reinforce the public’s trust. / text

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published_or_final_version / abstract / toc / Industrial and Manufacturing Systems Engineering / Doctoral / Doctor of Philosophy

We introduce a class of program editors that present a program using a rich set of transformations; we call these kinds of editors composable presentation editors. Proper use of these kinds of editors appears to lead to more expressive programs-programs whose structure are aligned with the problem they are trying to solve. By default, the composable presentation editor presents program elements textually as concrete syntax and enables typical editor commands on the program. Metadata on program elements control how the transformations are applied. Customized metadata can re-order, pictorialize, collapse, duplicate, or expand the displayed form of program elements and can additionally alter the available editor commands. We have developed a set of presentation techniques to be used by presentation designers (i.e., the programmers who design how a program is presented in the editor. These techniques relate to well-understood programming language design, editor design, and programming best-practices techniques including scoping, higher order functions, refactoring, prettyprinting, naming conventions, syntax highlighting, and text hovers. We introduce two implementations of composable presentation editors and a number of examples showing how programs can be made more expressive when presentation techniques are properly used. The first implementation is the ETMOP, an open editor, where a metaobject protocol is provided that allows language and editor designers to customize the way program elements are displayed. These customizations are called presenta- tion extensions and the corresponding presentation extension protocol acts in a way similar to the way that syntax macros extend the syntax of a language. The second implementation is Embedded CAL, a closed editor that uses these presentation techniques to embed one language (CAL) inside a host language (Java) through the use of presentation techniques, without changing the syntax or compiler of either language.

No description available.

This thesis is a study on object-oriented knowledge representation. The study defines the main concepts of the object model. It also shows pragmatically the use of object-oriented methodology in the development of a concrete software system designed as the solution to a specific problem.The problem is to simulate the interaction between several animals and various other objects that exist in a room. The proposed solution is an artificial intelligence (Al) program designed according to the object-oriented model, which closely simulates objects in the problem domain. The AI program is conceived as an inference engine that maps together a given knowledge base with a database. The solution is based conceptually on the five major elements of the model, namely abstraction, encapsulation, modularity, hierarchy, and polymorphism.The study introduces a notation of class diagrams and frames to capture the essential characteristics of the system defined by analysis and design. The solution to the problem allows the application of any object-oriented programming language. Common Lisp Object System (CLOS) is the language used for the implementation of the software system included in the appendix. / Department of Computer Science

There are two popular approaches when developing a software system, the first being System Analysis/System Design (SA/SD) and the second being an Object-Oriented (00) approach. In either approach a poor design inevitably produces a poor application. Thus, being able to evaluate the quality of a systems design is advantageous.The Design Metrics Research Team at Ball State University has developed metrics that measure the quality of software systems. From this research the metric D(G) (a composite of the metrics De and D) has been shown to be very effective when used to determine fault prone modules in a system. However, D(G) has been primarily applied to systems developed using the SA/SD approach. This thesis translated D(G) to an 00 setting and empirically evaluated D(G) to determine if D(G) is a good predictor of error-prone classes. The results indicate that De and Di are indeed good predictors of error-prone classes. Of the classes highlighted by De, 67% had errors, while 100% of the classes highlighted by D; had errors. / Department of Computer Science