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- 2004 (123) (remove)
The increased implementation of site data capture technologies invariably results in an increase in data warehousing and database technologies to store captured data. However, restricted use of data beyond the initial application could potentially result in a loss of understanding of site processes. This could in turn lead to poor decision making at production, tactical and strategic levels. Concrete usage data have been collected from two piling processes. These data have been analysed and the results highlighted potential improvements that could be made to existing site management and estimating processes. A cost benefit analysis has been used to support decision making at the strategic level where the identified improvements require capital expenditure.
The worldwide growth of communication networks and associated technologies provide the basic infrastructure for new ways of executing the engineering process. Collaboration amongst team members seperated in time and location is of particular importance. Two broad themes can be recognized in research pertaining to distributed collaboration. One theme focusses on the technical and technological aspects of distributed work, while the other emphasises human aspects thereof. The case of finite element structural analysis in a distributed collaboratory is examined in this paper. An approach is taken which has its roots in human aspects of the structural analysis task. Based on experience of how structural engineers currently approach and execute this task while utilising standard software designed for use on local workstations only, criteria are stated for a software architechture that could support collaborative structural analysis. Aspects of a pilot application and the results of qualitative performance measurements are discussed.
The purpose of this research is to develop the method to retrieve a building name from the impression of the building. First, the images of the building are registered as database by the questionnaire. Next, the images of the objective building are compared with the degree of matching in image databases, and the building with high synthetic matching degree is retrieved. This system could get a good retrieval result. Moreover, image processing was done, and image databases are trained by neural network from the amount of characteristics of the image, and the retrieval system by image processing was examined.
An important feature of the 2003 SARS outbreak in Canada, Singapore, and Hong Kong was that many health care workers (HCWs) developed SARS after caring for patients with SARS. This has been ascribed to inadequate or ineffective patient isolation. However, it is difficult for dense cities to provide sufficient isolation facilities within a short period of time. This has raised concerns from the public for new strategies in the planning and design of isolation facilities. Considering that SARS or other infectious diseases could seriously damage our society’s development, isolation facilities that could be rapidly and economically constructed with appropriate environmental controls are essential. For this reason, the design team of the Department of Architecture collaborated with a special task force from the Faculty of Medicine, who are the frontline medical officers treating the SARS patients, to design Rapidly Assembled Isolation Patient Wards. Both architecture and medicine are well established disciplines, but they have little in common in terms of the mode of knowledge construction and practice. This induced much intellectual exploration and research interest in conducting this study. The process has provided an important reference for cross disciplinary studies between the architectural and medical domains.
Complex gridshell structures used in architecturally ambitious constructions remain as appealing as ever in the public realm. This paper describes the theory and approach behind the software realisation of a tool which helps in finding the affine self-weight geometry of gridshell structures. The software tool DOMEdesign supports the formal design process of lattice and grid shell structures based upon the laws of physics. The computer-aided simulation of suspension models is used to derive structurally favourable forms for domes and arches subject to compression load, based upon the input of simple architectonic parameters. Irregular plans, three-dimensional topography, a choice different kinds of shell lattice structures and the desired height of the dome are examples of design parameters which can be used to modify the architectural design. The provision of data export formats for structural dimensioning and visualisation software enables engineers and planners to use the data in future planning and to communicate the design to the client.
The paper describes a concept for the step-by-step computer-aided capture and representation of geometric building data in the context of planning-oriented building surveying. Selected aspects of the concept have been implemented and tested as prototypes. The process of step-by-step capture and representation is determined by the order in which the user experiences the building. Only the information that the user knows (can see) or can reasonably deduce is represented. In addition approaches to the flexible combination of different measuring techniques and geometric abstractions are described which are based upon geodetic computational adjustment.
The truss model for predicting shear resistance of reinforced concrete beams has usually been criticized because of its underestimation of the concrete shear strength especially for beams with low shear reinforcement. Two challengers are commonly encountered in any truss model and are responsible for its inaccurate shear strength prediction. First: the cracking angle is usually assumed empirically and second the shear contribution of the arching action is usually neglected. This research introduces a nouvelle approach, by using Artificial Neural Network (ANN) for accurately evaluating the shear cracking angle of reinforced and prestressed concrete beams. The model inputs include the beam geometry, concrete strength, the shear reinforcement ratio and the prestressing stress if any. ...
Indentation experiments have been carried out over the past century to determine hardness of materials. Modern indentation machines have the capability to continuously monitor load and displacement to high precision and accuracy. In recent years, research interests have focussed on methods to extract material properties from indentation load-displacement curves. Analytical methods to interpret the indentation load-displacement curves are difficult to formulate due to material and geometric nonlinearities as well as complex contact interactions. In the present study, an artificial neural network model was constructed for interpretation of indentation load-displacement curves. Large strain-large deformation finite element analyses were first carried out to simulate indentation experiments. The data from finite element analyses were then used to train the artificial neural network model. The artificial neural network model was able to accurately determine the material properties when presented with load-displacement curves which were not used in the training process. The proposed artificial neural network model is robust and directly relates the characteristics of the indentation loaddisplacement curve to the elasto-plastic material properties.
This paper describes monitoring of the in-valley discharge and underground water level at the place where the tunnel will be constructed and also, the numerical analysis for prediction applying the Tank Model and Linear Filter Method to calculate the prediction. The application of these analyses has actually allowed the change of underground water level to be grasped and more effective information system to be established by comparing the real-time monitoring data with the real-time calculation of prediction.
Collaborative Design Processes: A Class on Concurrent Collaboration in Multidisciplinary Design
(2004)
The rise of concurrent engineering in construction demands early team formation and constant communication throughout the project life cycle, but educational models in architecture, engineering and construction have been slow to adjust to this shift in project organization. Most students in these fields spend the majority of their college years working on individual projects that do not build teamwork or communication skills. Collaborative Design Processes (CDP) is a capstone design course where students from the University of Illinois at Urbana-Champaign and the University of Florida learn methods of collaborative design enhanced by the use of information technology. Students work in multidisciplinary teams to collaborate from remote locations via the Internet on the design of a facility. An innovation of this course compared to previous efforts is that students also develop process designs for the integration of technology into the work of multidisciplinary design teams. The course thus combines both active and reflective learning about collaborative design and methods. The course is designed to provide students the experience, tools, and methods needed to improve design processes and better integrate the use of technology into AEC industry work practices. This paper describes the goals, outcomes and significance of this new, interdisciplinary course for distributed AEC education. Differences from existing efforts and lessons learned to promote collaborative practices are discussed. Principal conclusions are that the course presents effective pedagogy to promote collaborative design methods, but faces challenges in both technology and in traditional intra-disciplinary training of students.
Möglichkeiten der Projektrealisierung: Einzelvergabe der Planungs- und Bauaufgaben, Vergabe aller Planungs- und Bauaufgaben an einen Generalunternehmer. Die frühzeitige Einbindung eines erfahrenen und fachkundigen Generalunternehmers gibt dem Auftraggeber die Möglichkeit, bei minimiertem Risiko zu einer wirtschaftlich und bautechnisch optimalen Lösung seiner Bauaufgabe zu kommen.
This paper is a report of Radio Frequency Identification (RFID) technology and its potential applications in the commercial construction industry. RFID technology offers wireless communication between RFID tags and readers with non line-of-sight readability. These fundamental properties eliminate manual data entry and introduce the potential for automated processes to increase project productivity, construction safety, and project cost efficiency. Construction contractors, owners, and material suppliers that believe technology can further develop methods and processes in construction should feel obligated to participate in RFID studies for the advancement of the construction industry as a whole.
This paper describes an approach to support co-operation of experts in heterogeneous geotechnical engineering project environments during both regular execution and handling of exceptional situations. A co-operation platform is introduced which is based on a generalized information model mapping key information about the construction project, the construction process as well as the organization structure. Several tools are provided to operate the information model in a network based environment.
The contribution describes the didactical integration of wireless access networks for the campus of the University of Karlsruhe in the education of architects and engineers. It focuses on the development of an interdisciplinary communication network to encourage and promote the communication and collaboration between students. The project assumes that significant learning progresses in net-based learning scenarios are based upon the synchronous and asynchronous cooperation between the students themselves. The remote cooperation across borders of disciplines makes high demands on capacity in communicating and cooperating of the involved persons as well as on the supporting tools. Therefore, the collective acquisition of knowledge and cooperation has to be trained intensively during the studies. Based on the design and project oriented cooperation platform netzentwurf.de the authors developed the tools “Jobadmin“ to administrate multidisciplinary workgroups, the “Swarm Knowledge Catalogue“ to collect and store knowledge and “LivingCampus“, an instrument providing basic services for dynamic communication.
Information and Communication Technologies (ITC) in education have been extensively discussed nowadays. In this e-learning scenario, the construction and use of environments that support teaching and learning is a reality. Therefore, for time and general resource savings it is crucial the access to hypermedia contents with great interactivity and with high reusability. Substantial efforts have been centered in the search for a metadata proposal (metadata is a generic term used to describe data that can be used to identify and to describe common characteristics among different documents) that can be standardized and is system independent for the so called learning objects.
Recent research shows that current learning strategies in construction industry have not been effective in implementing lean principles in construction. With that in mind the researchers set to investigate an alternative learning strategy in order to promote learning at the international level. A web-based environment, was developed for this project with the intent of promoting learning and knowledge exchange on the theory and practice of "process transparency" across different countries.
Business and engineering knowledge in AEC/FM is captured mainly implicitly in project and corporate document repositories. Even with the increasing integration of model-based systems with project information spaces, a large percentage of the information exchange will further on rely on isolated and rather poorly structured text documents. In this paper we propose an approach enabling the use of product model data as a primary source of engineering knowledge to support information externalisation from relevant construction documents, to provide for domain-specific information retrieval, and to help in re-organising and re-contextualising documents in accordance to the user’s discipline-specific tasks and information needs. Suggested is a retrieval and mining framework combining methods for analysing text documents, filtering product models and reasoning on Bayesian networks to explicitly represent the content of text repositories in personalisable semantic content networks. We describe the proposed basic network that can be realised on short-term using minimal product model information as well as various extensions towards a full-fledged added value integration of document-based and model-based information.
The contribution introduces a method for the distributed process modelling in order to support the process orientation in Structural Engineering, i.e., the modelling, analysis and management of planning processes. The approach is based on the Petri Net theory for the modelling of planning processes and workflows in Structural Engineering. Firstly, a central and coarse process model serves as a pre-structuring system for the detailed modelling of the technical planning activities. Secondly, the involved planning participants generate distributed process models with detailed technical workflow information. Finally, these distributed process models will be combined in the central workflow net. The final net is of great importance for the process orientation in Structural Engineering, i.e., the identification, publication, analysis, optimization and finally the management of planning processes.
The growing competition pressure in the building industry increases the demands on the design and construction processes in respect to economical, technical and time aspects. These demands require efficient improvements of the value-added chain, which can be realized mainly with the usage of innovative information- and communication-technologies. To support the collaboration of all participants involved in a certain building project the Workflow-Management-System “BauKom-Online” has been developed. In the focus of the system is to support the coordination of the participants and their information exchange. Such a software-method is well suited to ensure a high quality planning process. The modelling of business-processes enables a better self-comprehension of the participants work and helps to enhance the project performance. The system architecture of BauKom-Online contains two basic components: the processmodelling tool and the workflow-engine. The process-model contains of activities and states of the planning and construction processes and their relations. These connected processes compose the workflow. Such a process-model for engineering purposes has to satisfy several needs, e.g., the consideration of planning and building alternatives, dynamic changes of the model during execution of the project and the linkage to further technical objects like costs, building structure, specifications and documentmanagement. Furthermore, the scheduling of the project can be done within the process-model and can be visualized as a Gantt-diagram. ...
As a result of the pilot-project “Grundwasser-Online” the supervision and the active controlling of large monitoring- and catchment-areas are realised by a co-operative integration of all related institutions, a synchronisation-process to combine all distributed data into one central server database, and a high-level eGovernment-Service to provide evaluated information over the internet. Based on this software system the local authorities are able to supervise the groundwater-levels and to find adequate decisions, which finally result in official permissions for the usage of groundwater-reservoirs by the water supply companies.