Refine
Document Type
- Conference Proceeding (114) (remove)
Institute
- Professur Informatik im Bauwesen (114) (remove)
Keywords
- Verteiltes System (36)
- Bauwerk (23)
- Architektur (18)
- Modellierung (17)
- Planungsprozess (17)
- Ingenieurbau (16)
- Datenmanagement (14)
- Baubetrieb (13)
- Computerunterstütztes Verfahren (12)
- Mobile Computing (10)
Year of publication
- 2004 (114) (remove)
The design of mobile IT systems, especially the design of wearable computer systems, is a complex task that requires computer science knowledge, such as that related to hardware configuration and software development, in addition to knowledge of the domain in which the system is intended to be used. Particularly in the AEC sector, it is necessary that the support from mobile information technology fit the work situation at hand. Ideally, the domain expert alone can adjust the wearable computer system to achieve this fit without having to consult IT experts. In this paper, we describe a model that helps in transferring existing design knowledge from non-AEC domains to new projects in the construction area. The base for this is a model and a methodology that describes the usage scenarios of said computer systems in an application-neutral and domain-independent way. Thus, the actual design information and experience will be transferable between different applications and domains.
Spatial data acquisition, integration, and modeling for real-time project life-cycle applications
(2004)
Current methods for site modeling employs expensive laser range scanners that produce dense point clouds which require hours or days of post-processing to arrive at a finished model. While these methods produce very detailed models of the scanned scene, useful for obtaining as-built drawings of existing structures, the associated computational time burden precludes the methods from being used onsite for real-time decision-making. Moreover, in many project life-cycle applications, detailed models of objects are not needed. Results of earlier research conducted by the authors demonstrated novel, highly economical methods that reduce data acquisition time and the need for computationally intensive processing. These methods enable complete local area modeling in the order of a minute, and with sufficient accuracy for applications such as advanced equipment control, simple as-built site modeling, and real-time safety monitoring for construction equipment. This paper describes a research project that is investigating novel ways of acquiring, integrating, modeling, and analyzing project site spatial data that do not rely on dense, expensive laser scanning technology and that enable scalability and robustness for real-time, field deployment. Algorithms and methods for modeling objects of simple geometric shape (geometric primitives from a limited number of range points, as well as methods provide a foundation for further development required to address more complex site situations, especially if dynamic site information (motion of personnel and equipment). Field experiments are being conducted to establish performance parameters and validation for the proposed methods and models. Initial experimental work has demonstrated the feasibility of this approach.
The construction management has been under pressure to reduce operating costs and to improve productivity using innovative information technologe (IT) solutions conformed to structural characteristics, site conditions and past experiences. Given the growing emphasis on effectiveness and efficiency in construction projects, there is an imminent need to develop a formal procedure to select the best IT application for each proposed construction project and research and development (R&D) project. As there are numerous factors that have to be considered in selecting appropriate IT in a given situation, decision-makers need to have multicriteria decision-making ability. To enable them to make the most appropriate decision in any situation, it is important that effective tools incorporating multicriteria decision-making techniques are available. In this paper, an Analytic Network Process (ANP) model is conducted for the selection of appropriate IT application for innovative construction management prior to construction or research. The paper concludes that the ANP is a viable and capable tool for conducting IT application selection in multicriteria decision-making environment.
As computer programs become ever more complex, software development has shifted from focusing on programming towards focusing on integration. This paper describes a simulation access language (SimAL) that can be used to access and compose software applications over the Internet. Specifically, the framework is developed for the integration of tools for project management applications. The infrastructure allows users to specify and to use existing heterogeneous tools (e.g., Microsoft Project, Microsoft Excel, Primavera Project Planner, and AutoCAD) for simulation of project scenarios. This paper describes the components of the SimAL language and the implementation efforts required in the development of the SimAL framework. An illustration example bringing on-line weather forecasting service for project scheduling and management applications is provided to demonstrate the use of the simulation language and the infrastructure framework.
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.
In the field of Civil Engineering, the content of reinforcement concrete design course (RC course) has complicated design procedures and many difficult specifications to recognize, so most of the students regard the RC course a tough course, and teachers very often find the class time insufficient. Also, teachers of the RC course usually spend a lot of time in organizing the examinations for handling tedious calculations and complicated logical reasoning. Furthermore, correcting examination papers with partial scoring takes even more time of the teacher’s. Therefore, the objective of this research is to design and develop a partial scoring assessment system to meet the needs in engineering design courses, such as the RC course. This assessment system can generate test items with variable parameters. It also supports inference diagnosis on the examinee’s misconceptions and gives partial scores in grading the examination. In this research, the example test subject is the analysis of rectangular reinforced concrete beam with single layer steel bars.
The approach discussed here is part of research into an overall concept for digital instruments which support the entire planning process and help in enabling planning decisions to be based upon clear reasoning and plausible arguments. Such specialist systems must take into account currently available technology, such as networked working patterns, object-orientation, building and product models as well as the working method of the planner. The paper describes a plausibility instrument for the formulation of colour scheme proposals for building interiors and elevations. With the help of intuitively usable light simulations, colour, material and spatial concepts can be assessed realistically. The software prototype “Coloured Architecture” is conceived as a professional extension to conventional design tools for the modelling of buildings. As such it can be used by the architect in the earliest design phases of the planning process as well as for colour implementation on location.
Available construction time-cost trade-off analysis models can be used to generate trade-offs between these two important objectives, however, their application is limited in large-scale construction projects due to their impractical computational requirements. This paper presents the development of a scalable and multi-objective genetic algorithm that provides the capability of simultaneously optimizing construction time and cost large-scale construction projects. The genetic algorithm was implemented in a distributed computing environment that utilizes a recent standard for parallel and distributed programming called the message passing interface (MPI). The performance of the model is evaluated using a set of measures of performance and the results demonstrate the capability of the present model in significantly reducing the computational time required to optimize large-scale construction projects.
The scientific transfer of key technology features to developing countries, together with adequate competence, localisation and adaptation, is the primary purpose of the proposed investigation. It is evident that introducing high-level CAD design and detailing will improve the planning process in developing countries. Successful utilization of applied information technology for the planning process, however, depends on the user-interface of individual software. Therefore, to open the great opportunity embedded in CAD software for clients globally, the language and character-set barrier of traditional user-interfaces must be overcome. A proposal for a research program is given here to address such issue in favour of global civil engineering.
We present a software prototype for fluid flow problems in civil engineering, which combines essential features of Computational Steering approaches with efficient methods for model transfer and high performance computing. The main components of the system are described: - The modeler with a focus on the data management of the product model - The pre-processing and the post-processing toolkit - The simulation kernel based on the Lattice Boltzmann method - The required hardware for real-time computing
This paper reports on the latest results in the development of a new approach for simulating the thermal behavior of buildings that overcomes the limitations of conventional heat-transfer simulation methods such as FDM and FEM. The proposed technique uses a coarse-grain approach to model development whereby each element represents a complete building component such as a wall, internal space, or floor. The thermal behavior of each coarse-grain element is captured using empirical modeling techniques such as artificial neural networks (ANNs). The main advantages of the approach compared to conventional simulation methods are: (a) simplified model construction for the end-user; (b) simplified model reconfiguration; (c) significantly faster simulation runs (orders of magnitude faster for two and three-dimensional models); and (d) potentially more accurate results. The paper demonstrates the viability of the approach through a number of experiments with a model of a composite wall. The approach is shown to be able to sustain highly accurate longterm simulation runs, if the coarse-grain modeling elements are implemented as ANNs. In contrast, an implementation of the coarse-grain elements using a linear model is shown to function inaccurately and erratically. The paper concludes with an identification of on-going work and future areas for development of the technique.
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.
This ethnographic study reports on emerging work processes and practices observed in the AEC (Architecture/Engineering/Construction) Global Teamwork program, i.e., what people experience when interacting with and through collaboration technologies, why people practice in the way they do, how the practice fits into the environment and changes the work patterns. It presents the experience of two high-performance typical but extreme AEC teamwork cases adopting and adapting to collaboration technologies and how these technologies in practice impact their work processes. The findings illustrate the importance of collaboration technologies in cross-disciplinary, global teamwork. Observations indicate that high performance teams that use the collaboration technologies effectively exhibit collaboration readiness at an early stage and manage to define a “third way” to meet the demands of the cross-disciplinary, multi cultural and geographically distributed AEC workspace. The observations and implications represent the blueprint for yearly innovations and improvements to the design of the AEC Global Teamwork program.
Re-using knowledge in architecture, engineering and construction (AEC) firms can lead to greater competitive advantage, improved designs, and more effective management of constructed facilities. This paper discusses the importance of exploration and discovery of reusable knowledge from a corporate archive as opposed to simple search and retrieval. We describe and illustrate through a scenario of use an exploration framework and prototype, CoMemTM that formalizes the added value of exploration in the process of knowledge reuse. We discuss two exploration activities: (i) Breadth- Only overview exploration that assist a user to rapidly localize pockets of re-usable knowledge from the large corporate archive and (ii) Iterative breadth-depth exploration that enables a user to identify those re-usable components of the Corporate Memory that may yield design issues that were not originally considered.
A/E/C Team members, while collaborating on building projects, rely on past experiences and content through the use of project design archives (whether in paper or digital format). This leads to underutilization of potential knowledge, as decision-making of data, information, and knowledge reuse is limited by access to these archives, due to sheer size and inconvenient presentation. This paper presents an integrated solution that leverages two technologies CoMem (Corporate Memory) and iRoom (interactive Room) developed at Stanford. This addresses critical limitations, i.e., content, context, visualization and interactivity, constraining the process of collaborative exploration towards knowledge reuse and decision-making.
The process of matching data represented in two different data models is a longstanding issue in the exchange of data between different software systems. While the traditional manual matching approach cannot meet today’s demands on data exchange, research shows that a fully automated generic approach for model matching is not likely, and generic semi-automated approaches are not easy to implement. In this paper, we present an approach that focuses on matching data models in a specific domain. The approach combines a basic model matching approach and a version matching approach to deduce new matching rules to enable data transfer between two evolving data models.
Re-examination of the behaviour of structures can be necessary due to deterioration or changes in the traffic situation during their lifetime. The Finite Element Method (FEM) is widely used in order to accomplish numerical analysis. Considering the development of computer performance, more detailed FEM models can be analyzed, even on site, with mobile computers. To compensate the increasing amount of data needed for the model input, measures need to be taken to save time, by distributing the work. In order to provide consistency to the model, fedback data must be checked upon reception. A local wireless computer network of ultra-portable devices linked together with a computer can provide the coordination necessary for efficient parallel working. Based on a digital model consisting of all data gathered, structural modelling and numerical analysis are performed automatically. Thus, the user is released from the work that can be automatized and the time needed for the overall analysis of a structure is decreased.
In the focus of the Bologna-contract of the European secretaries of education the universities are invited to aim a unification and comparability of certificates and to offer compatible and cooperative models of education. Among existing lectures in the Internet there will arise a new competition between the universities in netbased teaching and learning environments. For the use of distributed sources of information and for the possibility to generate free configurable sequences of education modules you need management systems which are able to handle different formats of documents and to assemble it to consistent and valid lessons. Beside elementar viewing-functions, fusion of information also administrative tasks are needed, e.g. automated efficiency controls, adaptive learning surroundings. This paper attends to three aspects: - netbased teaching and learning in the area of the instruction of civil engineers - netbased information assembling and fusion of knowledge bases to higher level documents - netbased learning with international coordinated projects
Beside the standard calculation programs for civil engineering buildings mathematical programs have been lately established for the solution of differential equations for the analysis of mechanical and static systems. Programs like Maple, Matlab, MathCAD and Mathematica are popular in this field. To the knowledge of the authors, the widest application functionality offers the program Maple. Its advantages are, e.g. the alternatively symbolic or numerical solution of differential equation systems, the easy handling of parameter studies, the immediate visualization of results, the definition of macros for selected calculation steps and their export in other computer languages and, not least, the automatically generated, very clear documentation of the matehematical calculus.
The promise of lower costs for sensors that can be used for construction inspection means that inspectors will continue to have new choices to consider in creating inspection plans. However, these emerging inspection methods can require different activities, resources, and decisions such that it can be difficult to compare the emerging methods with other methods that satisfy the same inspection needs. Furthermore, the context in which inspection is performed can significantly influence how well certain inspection methods are suited for a given set of goals for inspection. Context information, such as weather, security, and the regulatory environment, can be used to understand what information about a component should be collected and how an inspection should be performed. The research described in this paper is aimed at developing an approach for comparing and selecting inspection plans. This approach consists of (1) refinement of given goals for inspection, if necessary, in order to address any additional information needs due to a given context and in order to reach a level of detail that can be addressed by an inspection activity; (2) development of constraints to describe how an inspection should be achieved; (3) matching of goals to available inspection methods, and generation of activities and resource plans in order to address the goals; and (4) selection of an inspection plan from among the possible plans that have been identified. The authors illustrate this approach with observations made at a local construction site.