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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.
The Priority Programme ‘Network Based Co-operation in Structural Engineering’ of the ‘German Research Foundation’ (DFG) has been established in the year 2000. This paper describes and discusses the main research directions and first results of the workgroup ‘Distributed Product Models’. The five projects of the workgroup have developed completely different solutions for specific application domains. Each solution concept deals with a consistent product modeling and knowledge processing in a distributed environment in the planning process. The individual solution approaches of the projects are described and the underlying basic assumptions are discussed. A unified system architecture is described for all projects of the workgroup. Two different approaches (object-oriented and graph-based models) have been introduced for product and knowledge modeling. The common structure of these models will be explained to fully understand the differences of these modeling approaches. Finally the concepts for co-operative work and conflict management in a distributed environment are described: The solution approaches will be distinguished by classifying the supported co-operation according to time. A final scientific summary describes the state-of-the-art in network based co-operation in structural engineering: The role of research directions like knowledge modeling, standard product modeling and versioning in the distributed planning process will be explained.
Today’s building industry not only demands more and more reduced construction time on building site, but also an advanced and mostly construction attendant design phase. Even though there is software available to support design processes in distributed environments, most applications only support simple document based exchange of information. In this paper a knowledge based system is presented to support cooperative, comprehensive design processes in distributed environments. The presented research project is financially supported by the German Research Community (DFG – Deutsche Forschungsgemeinschaft).
In our project, we develop new tools for the conceptual design phase. During conceptual design, the coarse functionality and organization of a building is more important than a detailed worked out construction. We identify two roles, first the knowledge engineer who is responsible for knowledge definition and maintenance; second the architect who elaborates the conceptual design. The tool for the knowledge engineer is based on graph technology, it is specified using PROGRES and the UPGRADE framework. The tools for the architect are integrated to the industrial CAD tool ArchiCAD. Consistency between knowledge and conceptual design is ensured by the constraint checker, another extension to ArchiCAD.
Current disaster management procedures rely primarily on heuristics which result in their strategies being very cautious and sub-optimum in terms of saving life, minimising damage and returning the building to its normal function. Also effective disaster management demands decentralized, dynamic, flexible, short term and across domain resource sharing, which is not well supported by existing distributing computing infrastructres. The paper proposes a conceptual framework for emergency management in the built environment, using Semantic Grid as an integrating platform for different technologies. The framework supports a distributed network of specialists in built environment, including structural engineers, building technologists, decision analysts etc. It brings together the necessary technology threads, including the Semantic Web (to provide a framework for shared definitions of terms, resources and relationships), Web Services (to provide dynamic discovery and integration) and Grid Computing (for enhanced computational power, high speed access, collaboration and security control) to support rapid formation of virtual teams for disaster management. The proposed framework also make an extensive use of modelling and simulation (both numerical and using visualisations), data mining (to find resources in legacy data sets) and visualisation. It also include a variety of hardware instruments with access to real time data. Furthermore the whole framework is centred on collaborative working by the virtual team. Although focus of this paper is on disaster management, many aspects of the discussed Grid and Visualisation technologies will be useful for any other forms of collaboration. Conclusions are drawn about the possible future impact on the built environment.
Many problems related to data integration in AEC can be better tackled by an approach that takes into account the heterogeneity of tasks, models and applications but does not require continuous consistency of the evolving design data, at each data management operation. Such an approach must incorporate adequate services that can facilitate reintegration of concurrently modified data at reasonably selected coordination points. In this paper we present a set of methods which, used in combination, can achieve that goal. After a description of the principal envisaged cooperative work scenario each of these methods is discussed in detail and current observations drawn from their software realisation are given. Whilst the suggested approach is valid for any EXPRESS-based data model, the practical focus of work has been on facilitating IFC-driven integration.
An architecture of a distributed planning system for the building industry has been developed. The emphasis is on highly collaborative environments in steelwork, timber construction etc. where designers concurrently handle 3D models. The overall system connects local design systems by the so-called Design Framework DFW. This framework consists of the definition of distributed components and protocols which make the collaborative design work. The process of collaborative design has been formalized on an abstract level. This paper describes how this has been done. A sample is given to illustrate the mapping of concrete scenarios of the ‘real design world’ to an abstract scenario level. This work is funded by the Deutsche Forschungsgemeinschaft DFG as part of the project SPP1103 (Meißner et al. 2003).
The paper summarizes a part of research carried out in ICCI project and provides a current review of ICT infrastructures supporting collaboration. It covers taxonomies, protocols, standards, components, typical subsystems as well as future trends and recommendation for two most important technologies with applications in AEC: (1) EIP (Enterprise information portal) – a single gateway to a company's information, knowledge base, and applications for all actors; (2) RTC (Real-Time Communication and Collaboration technologies) that provide means for asynchronous communication between geographically dislocated people using ICT. Proposed future developments are: orientation towards web services - with building information models, business intelligence, personalization, AEC information retrieval, p2p workspaces and grids.
The synchronous distributed processing of common source code in the software development process is supported by well proven methods. The planning process has similarities with the software development process. However, there are no consistent and similarly successful methods for applications in construction projects. A new approach is proposed in this contribution.
Vor dem Hintergrund des gesellschaftlichen Wandels sieht sich die Verkehrsforschung mit neuen Anforderungen an die Konzeption, Anpassung, Anwendung usw. von statistischen Ansätzen zur Analyse des Aktivitäten-(Verkehrs-)verhaltens konfrontiert, um auf Basis empirischer Daten adäquat Zusammenhänge der Verkehrsentstehung zu erforschen. Ausgehend von der musterorientierten Perspektive - das heißt Untersuchungsgegenstand sind chronologische Abfolgen von Ortsveränderungen und Tätigkeiten in Form von Wege-Aktivitätenmustern - besteht das Ziel einer möglichst realitätsnahen Abbildung und Erklärung von individuellen Unterschieden im Raum-Zeit-Verhalten. Neu bzw. kaum etabliert sind in diesem Kontext der eigens konzipierte Multimethodenansatz sowie die Optimal Matching Technik, die erweiterte Abbildungseigenschaften zur Distanzmessung zwischen Wege-Aktivitätenmustern aufweist. Erkannt werden durch jene Methode gleiche Tätigkeiten bzw. Ortsveränderungen, die zeitlich an unterschiedlichen Stellen der zu vergleichenden Muster angeordnet sind sowie identische Subsequenzen. Zielführend in der Datenanalyse ist nachstehende Abfolge von Verfahren: Die Klassifikation von Wege-Aktivitätenmustern zur Reduktionen deren immenser Komplexität gelingt durch Einsatz der Optimal Matching Technik. Diese quantifiziert (Un-)ähnlichkeiten zwischen Wege-Aktivitätenmustern („Abstandsmessung“) unterschiedlicher Personen oder zu vergleichender Zeitabschnitte einer Person. Die dadurch berechnete Distanzmatrix bildet den Ausgangspunkt des clusteranalytischen Fusions-algorithmus, dessen Aufgabe die Zusammenfassung der Wege-Aktivitätenmuster ist (explorative Stufe). Die Anwendung eines multinomialen Logit-Modells ermöglicht auf Individualebene die Vorhersage der Affinität zu Wege-Aktivitätenmuster-Typen anhand von Merkmalswerten identifizierter Erklärungsgrößen der Personen, des Haushaltes usw. (induktive Stufe). Im Gegensatz zu einschlägigen Forschungsarbeiten zeichnet sich die gewählte Untersuchungsstrategie durch die Objektivität des Vorgehens aus, da eine a-priori Bildung von Personen-kategorien nicht notwendig ist. Ebenso grenzt die Berücksichtigung der zufälligen und nicht-erklärbaren Verhaltensvariabilität durch das Wahrscheinlichkeitsprinzip des gewählten Logit-Modells das eigene Vorgehen von anderen Untersuchungen ab. Aufgrund der weitgehend ungeklärten Anwendungsgrundlagen der Optimal Matching Technik befasst sich die vorliegende Arbeit zunächst mit dessen inhaltlicher Ausrichtung am Untersuchungsgegenstand. Die Anpassung der festzulegenden Aufwandswerte, welche für die benötigten Aktionen angesetzt werden, um ein Wege-Aktivitätenmuster in ein anderes zu transformieren, erfolgt mit Hilfe einer empirisch Abschätzung, die weit über ein argumentatives Vorgehen hinausgeht. Der ermittelte Sequenzabstand inkludiert dabei die operationsspezifische Distanz bei Übergängen zwischen den konstituierenden Zuständen der zu vergleichenden Wege-Aktivitätenmuster („Zustandsähnlichkeit“). Abstandsmaß für die qualitativen Zustände ist dabei die ermittelte Priorität von wege- und tätigkeitenbezogenen Handlungen. Die Relevanz einer Ausrichtung belegt auch die durchgeführte Sensitivitätsanalyse: Das Ausmaß der Empfindlichkeit der Optimal Matching Technik ist insbesondere gegenüber der Festlegung der Aufwandswerte beträchtlich. Um die Analysepotenziale des Multimethodenansatzes zu demonstrieren, werden exemplarisch interpersonelle Unterschiede im wöchentlichen Aktivitäten-(Verkehrs-)verhaltens (Datenbasis: deutsches Mobilitätspanel) analysiert. Ergebnis der Klassifikation (explorative Analysestufe) ist eine auf den ersten Blick inhaltlich stichhaltige Wege-Aktivitätenmuster-Typologie charakteristischer Wochenabläufe des Aktivitäten-(Verkehrs-)verhaltens: Unterschiedliche Arten, zeitlicher Umfang und zeitliche Lage der Haupt-aktivitäten, unterschiedliche Verkehrsverhaltensweisen sowie unterschiedliche clusterspezifische Tag zu Tag Rhythmen, Gleichförmigkeiten, Schwankungen usw. des Raum-Zeit-Verhaltens kennzeichnen die Wege-Aktivitätenmuster-Typen. Die Abbildungs-eigenschaften der Optimal-Matching Technik zeichnen sich in den erstellten Clustern nur teilweise ab: Während die Zustandselementkomposition - augenscheinlich betrachtet - passabel durch die Wege-Aktivitätenmuster-Typologie abgebildet wird, bleibt ungewiss, ob und inwieweit dies für die Abfolgeähnlichkeit gilt. Aus dem induktiven Analyseschritt geht hervor: Alter, Geschlecht, Verfügbarkeit einer ÖPNV-Zeitkarte, Führerscheinbesitz und mit herausragender Bedeutung der Erwerbsstatus signalisieren als maßgebende Erklärungsgrößen eine Trennwirkung. Überdies zeigt das Gesamtbild der ermittelten Wirkungsrichtungen und Effektstärken überzeugende Erklärungszusammenhänge auf. Damit ist ein Nachweis der Praktikabilität des eigens konzipierten Multimethodenansatzes unter Verwendung der Optimal Matching Technik zur musterorientierten Analyse des Raum-Zeit-Verhaltens erbracht.
Efforts to define standards for representing AEC/FM data have been fairly successful. However defining a standard reference process model has not met with the same success. Yet almost every conceptual modelling or software development project starts by defining the business processes to be supported and the related requirements to be satisfied. This paper describes a new process-centred methodology for user requirements capture developed in the ICCI project (IST-2001-33022). Its essence is in recognising user requirements and use cases in the context of the real construction process, identifying the actors and roles for each individual activity and associating these activities with information, communication and standardisation requirements on the basis of a formalised specification, named the Process Matrix. In the paper we outline the history of process matrix development, introduce the basic structure of the matrix and show how it can be further extended and refined. We present also a web-based software implementation of the developed approach, describe how it has been used in ICCI and outline further perspectives.