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Current building product models explicitly represent components, attributes of components, and relationships between components. These designer-focused product models, however, do not represent many of the design conditions that are important for construction, such as component similarity, uniformity, and penetrations. Current design and construction tools offer limited support for detecting these construction-specific design conditions. This paper describes the ontology we developed using the manufacturing concept of features to represent the design conditions that are important for construction. The feature ontology provides the blueprint for the additions and changes needed to transform a standard product model into a constructionspecific product model. The ontology formalizes three classes of features, defines the attributes and functions of each feature type, and represents the relationships between features explicitly. The descriptive semantics of the ontology allows practitioners to represent their varied preferences for naming features, specifying features that result from component intersections and the similarity of components, and grouping features that affect a specific construction domain. A software prototype that implements the ontology enables practitioners to transform designer-focused product models into feature-based product models that represent the construction perspective.
The development of 3D technologies during the last decades in many different areas, leads us towards the complete 3D representation of planet earth on a high level of detail. On the lowest level we have geographical information systems (GIS) representing the outer layer of our planet as a 3D model. In the meantime these systems do not only give a geographical model but also present additional information like ownership, infrastructure and others that might be of interest for the construction business. In future these systems will serve as basis for virtual environments for planning and simulation of construction sites. In addition to this work is done on the integration of GIS systems with 3D city models in the area of urban planning and thus integration of different levels of detail. This article presents research work on the use of 3D models in construction on the next level of detail below the level of urban planning. The 3D city model is taken as basis for the 3D model of the construction site. In this virtual nD-world a contractor can organize and plan his resources, simulate different variants of construction processes and thus find out the most effective solution for the consideration of costs and time. On the basis of former researches the authors present a new approach for cost estimation and simulation using development technologies from game software.
The goal of the research is the development of a computer system to plan, simulate and visualize erection processes in construction. In the research construction cranes are treated as robots with predefined degrees of freedom and crane-specific motion planning techniques are developed to generate time-optimized and collision-free paths for each piece to be erected in the project. Using inverse kinematics and structural dynamics simulation, the computer system then computes the crane motions and velocities necessary to achieve the previously calculated paths. The main benefits of the research are the accurate planning and scheduling of crane operations leading to optimization of crane usage and project schedules, as well as improving overall crane safety in the project. This research is aimed at the development of systems that will allow computer-assisted erection of civil infrastructure and ultimately to achieve fully-automated erection processes using robotic cranes...
Individual views on a building product of people involved in the design process imply different models for planning and calculation. In order to interpret these geometrical, topological and semantical data of a building model we identify a structural component graph, a graph of room faces, a room graph and a relational object graph as aids and we explain algorithms to derive these relations. The application of the technique presented is demonstrated by the analysis and discretization of a sample model in the scope of building energy simulation.
Numerische Berechnung von Mauerwerkstrukturen in homogenen und diskreten Modellierungsstrategien
(2004)
Im Zentrum der Arbeit stehen die Entwicklung, Verifikation, Implementierung und Leistungsfähigkeit numerischer Berechnungsmodelle für Mauerwerk im Rahmen der Kontinuums- und Diskontinuumsmechanik. Makromodelle beschreiben das Mauerwerk als verschmiertes Ersatzkontinuum. Mikromodelle berücksichtigen durch die Modellierung der einzelnen Steine und Fugen die Struktur des Mauerwerkverbandes. Soll darüber hinaus der durch die Querdehnungsinteraktion zwischen Stein und Mörtel hervorgerufene heterogene Spannungszustand im Mauerwerk abgebildet werden, so ist ein detailliertes Mikromodell, welches Steine und Fugen in ihren exakten geometrischen Dimensionen berücksichtigt, erforderlich. Demgegenüber steht die vereinfachte Mikromodellierung, bei der die Fugen mit Hilfe von Kontaktalgorithmen beschrieben werden. Im Rahmen der Makromodellierung werden neue räumliche Materialmodelle für verschiedene ein- und mehrschalige Mauerwerkarten hergeleitet. Die vorgestellten Modelle berücksichtigen die Anisotropie der Steifigkeiten, der Festigkeiten sowie des Ver- und Entfestigungsverhaltens. Die numerische Implementation erfolgt mit Hilfe moderner elastoplastischer Algorithmen im Rahmen der impliziten Finite Element Methode in das Programm ANSYS. Innerhalb der detaillierten Mikromodellierung wird ein neues, aus Materialbeschreibungen für Stein, Mörtel sowie deren Verbund bestehendes nichtlineares Berechnungsmodell entwickelt und in das Programm ANSYS implementiert. Die diskontinuumsmechanische Beschreibung von Mauerwerk im Rahmen der vereinfachten Mikromodellierung erfolgt unter Verwendung der expliziten Distinkt Element Methode mit Hilfe der Programme UDEC und 3DEC. An praktischen Beispielen werden Probleme der Tragfähigkeitsbewertung gemauerter Bogenbrücken, Möglichkeiten zur Bewertung vorhandener Rissbildungen und Schädigungen an historischen Mauerwerkstrukturen und Traglastberechnungen an gemauerten Stützen ausgewertet und analysiert.
Verbundverhalten von GFK-Bewehrungsstäben und Rissentwicklung in GFK-stabbewehrten Betonbauteilen
(2004)
In der vorliegenden Arbeit werden im Rahmen von Ausziehversuchen die Verbundeigenschaften verschiedener Bewehrungsstäbe aus glasfaserverstärkten Kunststoffen (GFK) unter Berücksichti-gung signifikanter Einflussgrößen auf das Verbundverhalten wie Oberflächenprofilierung der Stäbe, Stabdurchmesser, Betonfestigkeit, Verbundlänge sowie Beanspruchungsart unter einheitlichen Versuchsrandbedingungen bestimmt. Es erfolgt eine Bewertung der Einflussgrößen, der Verbundeigenschaften und des Verbundversagens der untersuchten GFK-Bewehrungsstäbe. Basierend auf der Modellbildung zum Verbund zwischen GFK-Stäben und Beton wird die Bestimmung der Verankerungslänge aufgezeigt. Im Rahmen von Versuchen an GFK-stabbewehrten Dehnkörpern und Balken wird die Auswirkung der spezifischen mechanischen Eigenschaften der GFK-Stäbe auf die Rissentwicklung gegenüber stahlbewehrten Bauteilen untersucht. Insbesondere wird betrachtet, welchen Einfluss das Bewehrungsmaterial, der Bewehrungsgrad, die Betonfestigkeit sowie die Belastungsart auf die Mitwirkung des Betons auf Zug zwischen den Rissen sowie auf die Entwicklung des Rissbildes, der Rissbreiten und der Rissabstände haben. Auf Grundlage der experimentellen Untersuchungen wird die Übertragbarkeit der für Stahlbetonbauteile üblichen Ansätze zur Bestimmung der Rissbreite auf GFK-stabbewehrte Betonbauteile bewertet.
Ziel der Arbeit ist es, das Arbeitsgebiet der Ökotechnologie durch die praxisbezogene Prüfung von ökologischen Prinzipien und ihre Umsetzung im Rahmen des Optimalitätsprinzips zur Prozess- und Verfahrensentwicklung weiter zu fundieren. Das soll auch dazu beitragen, Entscheidungen für die Gestaltung von stoffwandelnden Prozessen sowie deren Einbindung in gesamtgesellschaftliche Prozesse auf einer nachhaltigkeitsbezogenen richigen objektiven Basis und unter jeweiliger Abwägung von Aufwand und Nutzen , gemessen an dem ausgewählten Zielkriterium, zu treffen.
This paper presents an application of dynamic decision making under uncertainty in planning and estimating underground construction. The application of the proposed methodology is illustrated by its application to an actual tunneling project—The Hanging Lake Tunnel Project in Colorado, USA. To encompass the typical risks in underground construction, tunneling decisions are structured as a risk-sensitive Markov decision process that reflects the decision process faced by a contractor in each tunneling round. This decision process consists of five basic components: (1) decision stages (locations), (2) system states (ground classes and tunneling methods), (3) alternatives (tunneling methods), (4) ground class transition probabilities, and (5) tunneling cost structure. The paper also presents concepts related to risk preference that are necessary to model the contractor’s risk attitude, including the lottery concept, utility theory, and the delta property. The optimality equation is formulated, the model components are defined, and the model is solved by stochastic dynamic programming. The main results are the optimal construction plans and risk-adjusted project costs, both of which reflect the dynamics of subsurface construction, the uncertainty about geologic variability as a function of available information, and the contractor’s risk preference.
Recently, many reseraches on active control systems of building structures are preformed based on modern control theory and are installed real buildings. The authors have already proposed intelligent fuzzy optimal active control (IFOAC) systems. IFOAC systems imitate intelligent activities of human brains such as prediction, adaptation, decision-kaking and so on. In IFOAC systems, objective and subjective judgements on the active control can be taken into account. However, IFOAC systems are considered to be suitable for far-field erathquake and control effect becomes small in case of near-field earthqaukes which include a few velosity pules with large amplitudes. To improve control effect in case of near-souece earthquakes, the authors have also proposed hybrid control (HC) systems, in which IFOAC systems and fuzzy control system are combined. In HC systems, the fuzzy control systems are introduced as a reflective fuzzy active control (RFAC) system and imitates spinal reflection of human. In HC systems, active control forces are activated to buildings in accordance with switching rules on active control forces. In this paper, optimizations on fuzzy control rules in RFAC system and switching rules of active control forces in HC system are performed by Parameter-Free Genetic Algorithms (PfGAs). Here, the optimization is performed by using different earthquake inputs. The results of digital simulations show that the HC system can reduce maximal response displacements under restrictions on strokes of the actuator effectively in case of a near-source earthquake and the effectiveness of the proposed HC system is discussed and clarified.
The processes in the life cycle of buildings are characterised by highly distinct teamwork. The integration of all the distributed working participants, by providing an environment, which especially supports the communication and collaboration between the actors, is a fundamental step to improve the efficiency of the involved processes and to reduce the total costs. In this article, a link based modelling approach and its “intelligent” link management is introduced (1). This approach realises an integration environment based on a special building model that acts as a decision support system. The link-based modelling is characterised by the definition and specialisation of links between partial models. These intelligent managed links enable a very flexible and task specific data access and exchange between all the different views and partial models of the participants.
In this research project we intend to transfer the whole AEC-Bidding process to an agent-based virtual marketplace. Hereby, the existing legal regulations have to be considered. Important aspects in developing the virtual marketplace are to provide the possibility to realize an agentbased bidding consortium as well as to integrate subcontractors.
Integrated structural engineering system usually consists of large number of design objects that may be distributed across different platforms. These design objects need to communicate data and information among each other. For efficient communication among design objects a common communication protocol need to be defined. This paper presents the elements of a communication protocol that uses a mediator agent to facilitate communication among design objects. This protocol is termed the Mediative Communication Protocol (MCP). The protocol uses certain design communication performatives and the semantics of an Agent Communication language (ACL) mainly the Knowledge and Query Manipulation Language (KQML) to implement its steps. Details of a Mediator Agent, that will facilitate the communication among design objects, is presented. The Unified Modeling Language (UML) is used to present the Meditative protocol and show how the mediator agent can be use to execute the steps of the meditative communication protocol. An example from structural engineering application is presented to demonstrate and validate the protocol. It is concluded that the meditative protocol is a viable protocol to facilitate object-to-object communication and also has potential to facilitate communication among the different project participants at the higher level of integrated structural engineering systems.
This paper presents results of a study on distributed, or parallel, evolutionary computation in the topological design of steel structural systems in tall buildings. It describes results of extensive experimental research on various parallel evolutionary architectures applied to a complex structural design problem. The experiments were conducted using Inventor 2003, a networkbased evolutionary design support tool developed at George Mason University. First, a general introduction to evolutionary computation is provided with an emphasis on recent developments in parallel evolutionary architectures. Next, a discussion of conceptual design of steel structural systems in tall buildings is presented. Further, Inventor 2003 is briefly introduced as well as its design representation and evolutionary computation characteristics. Next, the results obtained from systematic design experiments conducted with Inventor 2003 are discussed. The objective of these experiments was to qualitatively and quantitatively investigate evolution of steel structural systems in tall buildings during a distributed evolutionary design process as well as to compare efficiency and effectiveness of various parallel evolutionary architectures with the traditional evolutionary design approaches. Two connectivity topologies (ring topology and fully-connected topology) have been investigated for four populations of structural designs evolving in parallel and using various migration strategies. Also, results of the initial sensitivity studies are reported in which two ways of initializing distributed evolutionary design processes were investigated, using either arbitrarily selected designs as initial parents or randomly generated ones. Finally, initial research conclusions are presented.
Change management has been the focus of different IT systems. These IT systems were developed to represent design information, record design rationale, facilitate design coordination and changes. They are largely based on managing reactive changes, particularly design changes, in which changes are recorded and then propagated to the relevant project members. However, proactive changes are hardly dealt with in IT systems. Proactive changes require estimating the likelihood of occurrence of a change event as well as estimating the degree of change impacts on project parameters. Changes in construction projects often result from the uncertainty associated with the imprecise and vague knowledge of much project information at the early stages of projects. This is a major outcome of the case studies carried out as part of this research. Therefore, the proposed model considers that incomplete knowledge and certain project characteristics are always behind change causes. For proactive changes, predicting a change event is the main task for modelling. The prediction model should strive to integrate these main elements: 1) project characteristics that lead to change 2) causes of change, 3) the likelihood of change occurrence, and 4) the change consequences. It should also define the dependency relationships between these elements. However, limited data (documented) are only available from previous projects for change cases and many of the above elements can only be expressed in linguistic terms. This means that the model will simulate the uncertainty and subjectivity associated with these sets of elements. Therefore, a fuzzy model is proposed in this research to capture these elements. The model analyses the impact of each set of elements on the other by assigning fuzzy values for these elements that express the uncertainty and subjectivity of their impact. The main aim is to predict change events and evaluate change effects on project parameters. The fuzzy model described above was developed in an IT system for operational purposes and was designed as a Java package of components with their supporting classes, beans, and files. This paper describes the development and the architecture of the proposed IT system to achieve these requirements. The system is intended to help project teams in dealing with change causes and then the change consequences in construction projects.
Many construction and facilities management Web sites can be found on the Internet. The interested parties on construction and facilities management Web sites can find databases of best practices, calculators, analyzers, software, expert and decision support systems, neural networks, etc. Technological innovation mainly through changes in the availability of information and communication technology inclusive databases of best practices, calculators, analyzers, software, neural networks, decision support and expert systems that have been provided by a variety of new services developed by the construction and facilities management sectors. Most of all calculators, analyzers, software, decision support and expert systems, neural networks and on-line systems seek to find out how to make the most economic decisions and most of all these decisions are intended only for economic objectives. Alternatives under evaluation have to be evaluated not only from the economic position, but take into consideration qualitative, technical, technological and other characteristics as well. Based on the analysis of the existing calculators, analyzers, information, expert and decision support systems, neural networks and in order to determine most efficient versions of best practices a Decision Support Web-Based System for Construction Innovation (IDSS) was developed by Vilnius Gediminas Technical University.
This paper presents an agent-based software, Virtual Administrator System (VAS) for the smallscale maintenance of school buildings. VAS is capable of handling a heavy load of routine, lowtech maintenance jobs. It assigns a different priority to each job application according to its significance and urgency, and automatically adjusts schedules for maintenance engineers when on-site supervision is needed. The system can help ease off the burden of routine small-scale maintenance work, making it more cost-effective and efficient in the overall management of school building maintenance. VAS posts jobs on the Web in a multi-media format and classified all applications into four categories: the on-call maintenance contract, the term maintenance contract, the guaranty maintenance contract, and the regular maintenance contract. It then estimates their urgency level and passes the information to maintenance engineers who will decide whether on-site inspection is needed. Based on the engineers’ feedback, VAS automatically implements the scheduling for inspection as well as sends out real-time or batch notifications to contractors. All these activities are recorded in a database to allow continuous research and data mining and the analysis and diagnosis of specific jobs for followup maintenance plans.
Expert systems integrating fuzzy reasoning techniques represent a powerful tool to support practicing engineers during the early stages of structural design. In this context fuzzy models have proved themselves to be very suitable for the representation of complex design knowledge. However their definition is a laborious task. This paper introduces an approach for the design and the optimization of fuzzy systems based upon Genetic Programming. To keep the emerging fuzzy systems transparent a new framework for the definition of linguistic variables is also introduced.
This paper presents a new design environment based on Multi-Agents and Virtual Reality (VR). In this research, a design system with a virtual reality function was developed. The virtual world was realized by using GL4Java, liquid crystal shutter glasses, sensor systems, etc. And the Multi-Agent CAD system with product models, which had been developed before, was integrated with the VR design system. A prototype system was developed for highway steel plate girder bridges, and was applied to a design problem. The application verified the effectiveness of the developed system.
A Multi-objective Model for Optimizing Construction Planning of Repetitive Infrastructure Projects
(2004)
This paper presents the development of a model for optimizing resource utilization in repetitive infrastructure projects. The model provides the capability of simultaneous minimization of both project duration and work interruptions for construction crews. The model provides in a single run, a set of nondominated solutions that represent the tradeoff between these two objectives. The model incorporates a multiobjective genetic algorithm and scheduling algorithm. The model initially generates a randomly selected set of solutions that evolves to a near optimal set of tradeoff solutions in subsequent generations. Each solution represents a unique scheduling solution that is associated with certain project duration and a number of interruption days for utilized construction crews. As such, the model provides project planners with alternative schedules along with their expected duration and resource utilization efficiency.
A comprehensive framework of information management system for construction projects in China has been established through extensive literature survey and field investigation. It utilizes the potential information technologies and covers the practical management patterns as well as the major aspects of construction project management. It can be used to guide and evaluate the design of the information management systems for construction projects in order to make the system to be applicable to a wide variety of construction projects and survive the changes in project management.