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Beton ist das am meisten verwendete Baumaterial weltweit. CO2-Emissionen, die bei der Zement- und Betonherstellung an-fallen, müssen reduziert, Produktionsmethoden verbessert und Betonzusammensetzungen angepasst werden. Zudem steigt die Nachfrage nach Beton, während fossile Brennstoffreserven und die Verfügbarkeit von mineralischen Rohstoffen abnehmen. Hinzu kommt, dass bei der Betonherstellung neue mineralogi-sche Phasen entstehen, was ein echtes Recycling erschwert. Die Implementierung kreislaufkonformer Strategien wie der Verlängerung der Nutzungsphase ist ein wichtiger Hebel, um Umweltwirkungen im Bauwesen zu reduzieren, und erfordert die ganzheitliche Betrachtung des Bauwerks. Besonders großes Potenzial liefern hier die digital vernetzte und modellba-sierte Planung sowie die darauf aufbauende robotergestützte Fertigung der Bauteile, mit der sich leicht lösbare Verbindun-gen, einfach rückbaubare, multifunktionale, flexible sowie bzgl. Dauerhaftigkeit optimierte Strukturen ökologisch und kosten-effizient generieren lassen. Technisch wären bereits viele Pro-jekte in der Praxis umsetzbar, allerdings müssen hierzu die rechtlichen Rahmenbedingungen verbessert und bürokratische Hürden abgebaut werden. Dieser Beitrag hat das Ziel, das Be-wusstsein für den nötigen Wechsel von der Linear- zur Kreis-laufwirtschaft im Betonbau und den korrespondierenden Daten zu erhöhen und dem Planer einfache Grundsätze für den Ent-wurf, die Ausschreibung und Umsetzung mitzugeben, um jetzt schon einen wichtigen Beitrag zum verantwortungsvollen Um-gang mit immer knapper werdenden Ressourcen zu leisten.
Defining infrastructural BIM standards is an essential issue to successfully implement BIM in the civil engineering domain and to gain acceptance of engineers, software developers and executive users. For this reason the paper proposes a way to improve collaboration between the geomechanical infrastructural design and analysis process, by introducing an infrastructural Information Delivery Manual (IDM). To realize IDM, the traditional geomechanical infrastructural use case was defined and the process specific workflow (activities & data exchange) was determined by developing an infrastructural process map. In order to ensure correct data exchange between the involved processes various Exchange Requirements (ER) were specified. But to the effect an infrastructural product model like IFC is still not available, the data exchange as well as the ER specification was made by different formats. At the end of this research activity the Model View Definition (MVD) was discussed.
Product Data Management (PDM) systems are well established in the manufacturing industry. Here, they form the standard solution for the central storage of all data relating to a product and the processes involved in its manufacture. Particularly the consistent management of CAD models, including sophisticated versioning techniques and access rights management as well as the integrated workflow management are attractive features for using PDM systems also for civil engineering
projects. This paper investigates the technical concepts behind PDM systems and compares their suitability as a data management solution in civil engineering projects with that of Document Management Systems and Product Model Servers. Alongside a comparative study of the major PDM systems available on the market, we also present a case study involving a PDM system that has been employed for a concrete civil engineering project.
While there are mature data models for exchanging semantically rich building models, no means for exchanging bridge models using a neutral data format exist so far. A major challenge lies in the fact that a bridge's geometry is often described in parametric terms, using geometric constraints and mathematical expressions to describe dependencies between different dimensions. Since the current draft of IFC-Bridge does not provide a parametric geometric description, this paper presents a possible extension and describes in detail the object-oriented data model proposed to capture parametric design including geometric and dimensional constraints. The feasibility of the concept has been verified by actually implementing the exchange of parametric models between two different computer-aided design (CAD) applications.
Dieser Beitrag führt zunächst in die digitale Transformation (DT) des Bauwesens und deren wesentliche Methoden wie BIM, digitaler Zwilling etc. ein. Zur Erzielung eines begrifflichen und semantischen Verständnisses werden die Definitionen zudem an Anwendungsbeispielen veranschaulicht. Neben den Gründen für die DT werden der Status quo sowie der Weg vom analogen Planen und Bauen zur Vision „Planen und Bauen~4.0“ dargestellt. Kernelemente sind verschiedene Ansatzpunkte, Entscheidungshilfen und Schlüsse zur Begegnung der technischen und adaptiven Herausforderungen der DT auf Unternehmer‑, aber auch Hochschulniveau. Insbesondere der Faktor Mensch und dessen humane wie technische Kollaborations- und Vernetzungsfähigkeit wird in diesem Beitrag Rechnung getragen. Abschließend wird neben einer Zusammenfassung der dargestellten Inhalte zudem ein Ausblick für die DT im Bauwesen bis hin zum Einsatz von Robotik und KI für den im nächsten Jahr erscheinenden zweiten Teil dieses Beitrags gegeben.
In the engineering domain, representing real-world objects using a body of data, called a digital twin, which is frequently updated by “live” measurements, has shown various advantages over tradi- tional modelling and simulation techniques. Consequently, urban planners have a strong interest in digital twin technology, since it provides them with a laboratory for experimenting with data before making far-reaching decisions. Realizing these decisions involves the work of professionals in the architecture, engineering and construction (AEC) domain who nowadays collaborate via the methodology of building information modeling (BIM). At the same time, the citizen plays an integral role both in the data acquisition phase, while also being a beneficiary of the improved resource management strategies. In this paper, we present a prototype for a “digital energy twin” platform we designed in cooperation with the city of Regensburg. We show how our extensible platform de- sign can satisfy the various requirements of multiple user groups through a series of data processing solutions and visualizations, in- dicating valuable design and implementation guidelines for future projects. In particular, we focus on two example use cases concern- ing building electricity monitoring and BIM. By implementing a flexible data processing architecture we can involve citizens in the data acquisition process, meeting the demands of modern users regarding maximum transparency in the handling of their data.
Digital workflows in the Architecture, Engineering and Construction (AEC) industry have been working with a wide range of software solutions trying to enable a Design-to-Production (DtP) end-to-end data flow. Thereby, state-of-the-art software solutions attempt to streamline the design and production processes accordingly.
However, most digital workflows lack in terms of adequate sequential data preparation, agglomeration, and interfacing capabilities for consecutive design phases. These issues result in long, tedious correction loops, a wide range of software solutions and extensions to mitigate the issues. In addition, many digital workflows do not consider or integrate construction, production and machine relevant data holistically (respectively geometry and semantics). In this context, the production relevant data in from of human-centered work process data referring to digital human models (DHM), derived human abilities, safety and ergonomic criteria are often neglected. However, this is essential to interface the construction, human and machine relevant data in a holistic manner.
This paper therefore proposes a DtP-workflow which is intended to solve some of the issues by interfacing relevant software solutions incorporating construction, production (including DHM and more) and machine relevant data in a holistic manner using a Building Information Modeling (BIM)-approach (based on the IFC schema). In this regard, the DtP-workflow aims to reverse common top-down digital workflows by considering and integrating the relevant data for consecutive design phases from the beginning. Subsequently, the DtP-workflow should achieve a reduction in planning effort.
Parametric modeling is a well-established methodology in the field of mechanical engineering. It allows for the creation of flexible geometric models using parameters for dimensions and makes it possible to define numeric relationships between these parameters by means of mathematical formulas and define geometric-topological constraints between geometric entities. The result is a flexible geometric model that can be steered through the manipulation of its primary parameters. In contrast to explicit geometric models with fixed dimensions, a parametric model can capture the design intent and represent domain knowledge. The use of parametric modeling techniques is particularly beneficial for designing bridges. This is because the geometric design of bridges is mainly determined by external constraints resulting from the size and the layout of both the overlying and the undercrossing carriageway. This reduces the effort required for reworking when changes are made, while simultaneously providing a high degree of reusability for the model in other, similar projects, resulting in significantly increased efficiency in the bridge design process. Because of the strong fragmentation of the architecture, engineering, and construction (AEC) industry, the data exchange between the different participants in a construction project is of crucial importance. The use of neutral, open data formats has proved to be the most suitable approach to realize this data exchange. However, currently existing neutral data formats do not allow for an exchange of parametric geometry. To overcome these technical limitations, this paper introduces an extension to the IFC-Bridge format, thus providing a means of interchanging parametric bridge models. This article describes in detail the necessary entities introduced to define parameters and capture dimensional and geometric constraints. The suitability of the developed extensions is proved by presenting the successful transfer of parametric bridge models between two parametric design systems as well as from a design system to a structural analysis system.