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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.
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.
Der Bauablauf unterliegt vielen Unwägbarkeiten. Von besonderer Bedeutung ist dieses Problem im Umfeld der Revitalisierung von Bauwerken. In weiten Teilen sind die auszuführenden Arbeiten nur schwer im Vorfeld planbar. Die Ursachen hierfür liegen großteils in der Problematik des Bauens im Bestand und dem aus wirtschaftlichen Gründen geringen Umfang von Analysen. Häufig treten verdeckte, im Vorfeld der Baumaßnahme nicht erkannte Schäden auf oder Materialstrukturen und Bauteilqualitäten wurden in der Planung unzureichend berücksichtigt. Alte Ausführungsunterlagen sind oft nicht verfügbar. Viele zur Ausführung bestimmter Arbeiten nötige Informationen fehlen und werden erst zum unmittelbaren Ausführungszeitpunkt bekannt. Einzelne Arbeiten sind nur schwer kalkulierbar bzw. planbar. Sie sind in Art und Umfang zunächst nicht bekannt und müssen gegebenenfalls als neue Vorgänge im Plan berücksichtigt werden. Diese besondere Situation bedarf einer gezielten Berücksichtigung. Die Planung des Bauablaufes muss in einer flexiblen und leicht anpassbaren Art und Weise erfolgen. Im folgenden Beitrag wird ein Ansatz zur Entwicklung eines solchen Prozessmodells vorgestellt, der im Rahmen des SFB 524 >Werkstoffe und Konstruktionen für die Revitalisierung von Bauwerken< an der Bauhaus-Universität Weimar untersucht und vorangetrieben wurde und wird. Das vorgestellte Modell kann kurzfristig flexibel auf die realen Gegebenheiten reagieren und ermöglicht trotzdem eine Planung und Steuerung des gesamten Ablaufs. Es enthält nicht wie bisher üblich deterministische Daten in starren Anordnungsbeziehungen. Vielmehr werden die Daten der Prozesse und die Beziehungen der Prozesse untereinander in einer nichtdeterministischen, unscharfen Form modelliert....
The pavement is one of the basic components of road infrastructure and, therefore, directly influences general levels of transport safety, as well as the quality of transportation services in human and cargo traffic. It also exerts a major influence on the final logistic costs of production and services in many aspects of everyday life. The continuity of transportation, which is closely tied to the development of a number of areas in the economy of every State, depends on the technical condition of the road pavement. Making proper investments in the complete course of life of the road pavement, a policy which makes sure that the conditions for continuous, safe, efficient, and economically optimised transportation are satisfied, is a priority for every administration managing municipal funds. If investments in the road pavement are not carried out properly, there usually are more and more road pavements the condition of which causes delays in transportation, and directly compromises traffic safety. Such a situation increases the running costs of vehicles, and decreases the transportation service levels and comfort of travelling. At the moment, the majority of pavements in Europe, (nearly 90% of all pavements) are flexible road pavements. Due to the prevalent number of flexible pavements in Europe, the author analyses investment in the course of full-time of life cycle of the pavements, with a stress on flexible pavements. The paper presents basic assumptions and definitions in the area of analysis of life cycle costs of a flexible road pavement, as well as profits associated with proper long range investment. The classification of damages to flexible road pavement has also been presented, and their influence on technical and use related assessment of road pavement conditions, basing on the traditional road pavement structures, with relation to the catalogue of typical flexible pavements used in Poland, as well as regarding French, British, and American experience in constructing long life road pavements. The second part of the paper discusses different investment strategies in the course of a full-time of life cycle of the road pavement, and proposes a procedure of evaluating investment strategies. The summary presents some assumptions for a global index of investment evaluation during the full-time of life cycle of a pavement, based on the Best Return Index (BRI).
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.
We describe the database requirements of SEED (Software Environment to Support the Early Phases in Building Design). The requirements are typical for a database that intends to support a heterogeneous design support environment consisting of independent software modules with diverse internal design models, requirements not met by any commercial database system. The design and implementation of this database is an integral part of the overall software engineering effort. We describe the SEED approach that integrates external and in-house software based on a shared information model specified in the modeling language SPROUT, which allows for the specification of domains, and classes, relationship types and their behavior, and multiple classifications. The SPROUT run-time system organizes and coordinates the communication between the software modules and the database
Der vorliegende Beitrag beschreibt die Problematik bei der Prognose verkehrsbedingter Schadstoff-Immissionen. Im Mittelpunkt steht die Entwicklung und der Aufbau einer Simulationsumgebung zur Evaluation von umweltorientierten Verkehrsmanagement-Strategien. Die Simulationsumgebung wird über die drei Felder Verkehr, Emission, Immission entwickelt und findet zunächst Anwendung in der Evaluation verkehrlicher Maßnahmen für die Friedberger Landstraße in Frankfurt am Main.
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
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.
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.