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All construction project are constrained by their schedules, budgets and specifications, and safety and environmental regulations. These constraints made construction management more complex and difficult. At the same time, many historical data that can support the decisions in the future are kept in construction enterprises,. To use the historical data effectively and efficiently, it is essential to apply the data warehouse and data mining technologies. This paper introduces a research which aims to develop a data warehouse system according to the requirements of construction enterprises and use data mining technology to learn useful information and knowledge from the data warehouse system. The design, the development and the application of this system are detailedly introduced in this paper.
This paper will present a number of technical aspects for one of the most elaborate instrumentation and data acquisition projects ever undertaken in Canada. Confederation Bridge, the longest bridge built over ice covered seawater has been equipped with the state of the art data acquistition devices and systems as well as data transfer networks. The Bridge has been providing a fixed surface connection between Prince Edward Island and Province of New Brunswick in Canada since its opening in 1997. The Bridge has a rather long design service life of 100 years. Because of its large size and long span length, its design is not covered by any existing codes or standards worldwide. The focus of the paper is to introduce the data acquisition, transfer, processing and management systems. The instrumentation and communications infrastructure and devices will be presented in some details along with the data processing and management systems and techniques. Teams of engineers and researchers use the collected data to verify the analysis and design assumptions and parameters as well as investigate the short-term and long-term behaviour and health of the Bridge. The collected data are also used in furthering research activities in the field of bridge engineering and in elevating our knowledge about behaviour, reliability and durability of such complex structures, their components and materials.
There are many construction projects in China and mass documents are exchanged among the multi-party, including the owner, the contractor and the engineer in the projects. Based on previous studies, an approach to the utilization of the exchanged documents is established by using data warehouse technology and a prototype system called EXPLYZER is developed. The approach and the prototype system are verified through their application in a construction project. It is concluded that the approach can support the decision-making in project management.
The development of a life cycle structured cooperation platform is described, which is based on an integrated process and goal-oriented project model. Furthermore the structure of a life cycle oriented object structure model and its implementation in the platform are documented. The complete conceptual model is described, which represents the basis of a lifecycle -oriented structuring of the planning object and supports the thematic classification of the object and project management data.
Business and engineering knowledge in AEC/FM is captured mainly implicitly in project and corporate document repositories. Even with the increasing integration of model-based systems with project information spaces, a large percentage of the information exchange will further on rely on isolated and rather poorly structured text documents. In this paper we propose an approach enabling the use of product model data as a primary source of engineering knowledge to support information externalisation from relevant construction documents, to provide for domain-specific information retrieval, and to help in re-organising and re-contextualising documents in accordance to the user’s discipline-specific tasks and information needs. Suggested is a retrieval and mining framework combining methods for analysing text documents, filtering product models and reasoning on Bayesian networks to explicitly represent the content of text repositories in personalisable semantic content networks. We describe the proposed basic network that can be realised on short-term using minimal product model information as well as various extensions towards a full-fledged added value integration of document-based and model-based information.
The evolution of data exchange and integration standards within the Architectural, Engineering and Construction industry is gradually making the long-held vision of computer-integratedconstruction a reality. The Industry Foundations Classes and CIMSteel Integration Standards are two such standards that have seen remarkable successes over the past few years. Despite successes, these standards support the exchange of product data more than they do process data, especially those processes that are loosely coupled with product models. This paper reports on on-going research to evaluate the adequacy of the IFC and CIS/2 standards to support process modeling in the steel supply chain. Some initial recommendations are made regarding enhancements to the data standards to better support processes.
The paper describes further developments of the interactive evolutionary design concept relating to the emergence of mutually inclusive regions of high performance design solutions. These solutions are generated from cluster-oriented genetic algorithm (COGAs) output and relate to a number of objectives introduced during the preliminary design of military airframes. The data-mining of multi-objective COGA (moCOGA) output further defines these regions through the application of clustering algorithms, data reduction and variable attribute relevance analyses. A number of visual representations of the COGA output projected onto both variable and objective space are presented. The multi-objective output of the COGA is compared to output from a Strength Pareto Evolutionary Algorithm (SPEA-II) to illustrate the manner in which moCOGAs can generate good approximations to Pareto frontiers.
The optimization of continuous structures requires careful attention to discretization errors. Compared to ordinary low order formulation (h-elements) in conjunction with an adaptive mesh refinement in each optimization step, the use of high order finite elements (so called p-elements) has several advantages. However, compared to the h-method a higher order finite element analysis program poses higher demands from a software engineering point of view. In this article the basics of an object oriented higher order finite element system especially tailored to the use in structural optimization is presented. Besides the design of the system, aspects related to the employed implementation language Java are discussed.
This paper describes an Internet-enabled software model that could facilitate the development and utilization of nonlinear structural analysis programs. The software model allows users easy access to the analysis core program and the analysis results by using a web-browser or other application programs. In addition, new and legacy codes can be incorporated as distributed services and be integrated with the software framework from disparate sites. A distributed project management system, taking advantages of Internet and database technologies, is implemented to store and manage model information and simulation results. Nonlinear dynamic analysis and simulations of a bridge structure is performed to illustrate the facilities of the Internet-enabled software model.
This paper describes a couple of new truss structures based on fractal geometry. One is the famous Sierpinski Gasket and another is a fractal triangle derived by means of applying a process forming leaves of a cedar tree using M. F. Barnsley’s contraction mapping theory. Therefore a pair of x-y coordinates of an arbitrary nodal point on the structures are generated easily if IFS(Iterated Function System) codes and a scale of them are specified. Structural members are defined similarly. Thus data for frame analysis can be generated automatically, which is significant if the objective structure has complex configuration. Next analytical results under vertical and wind loadings in Japanese Building Code are shown. Here members are assumed to be timber and to have cross section of 15cm×15cm. Finally authors conclude that geometrically new truss structures were developed and automatic data generation for frame analysis was attained using IFS. Analytical results show they contribute to saving material when compared it with King-post truss.