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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.