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Erscheinungsjahr
- 2004 (177) (entfernen)
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.
A wide variety of behavioural models exist in microscopic traffic simulation. Commercial programms often use closed-source policies and are confined to their respective simulation platforms. Open-source approaches mainly focus on distinctive, highly specialized traffic situations. In the scope of this paper, an open-source framework for developing modular, objectoriented simulation systems is presented, capable of simultaneously accommodating different driving models and enabling the user to modify and extend the catalogue of driving behaviours. The existing driving behaviours and the computational implementation of the simulation are being described.
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.
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.
The approach discussed here is part of research into an overall concept for digital instruments which support the entire planning process and help in enabling planning decisions to be based upon clear reasoning and plausible arguments. Such specialist systems must take into account currently available technology, such as networked working patterns, object-orientation, building and product models as well as the working method of the planner. The paper describes a plausibility instrument for the formulation of colour scheme proposals for building interiors and elevations. With the help of intuitively usable light simulations, colour, material and spatial concepts can be assessed realistically. The software prototype “Coloured Architecture” is conceived as a professional extension to conventional design tools for the modelling of buildings. As such it can be used by the architect in the earliest design phases of the planning process as well as for colour implementation on location.
In the field of Civil Engineering, the content of reinforcement concrete design course (RC course) has complicated design procedures and many difficult specifications to recognize, so most of the students regard the RC course a tough course, and teachers very often find the class time insufficient. Also, teachers of the RC course usually spend a lot of time in organizing the examinations for handling tedious calculations and complicated logical reasoning. Furthermore, correcting examination papers with partial scoring takes even more time of the teacher’s. Therefore, the objective of this research is to design and develop a partial scoring assessment system to meet the needs in engineering design courses, such as the RC course. This assessment system can generate test items with variable parameters. It also supports inference diagnosis on the examinee’s misconceptions and gives partial scores in grading the examination. In this research, the example test subject is the analysis of rectangular reinforced concrete beam with single layer steel bars.
This paper will present a number of technical aspects for one of the most elaborate instrumentation and data acquisition projects ever undertaken in Canada. Confederation Bridge, the longest bridge built over ice covered seawater has been equipped with the state of the art data acquistition devices and systems as well as data transfer networks. The Bridge has been providing a fixed surface connection between Prince Edward Island and Province of New Brunswick in Canada since its opening in 1997. The Bridge has a rather long design service life of 100 years. Because of its large size and long span length, its design is not covered by any existing codes or standards worldwide. The focus of the paper is to introduce the data acquisition, transfer, processing and management systems. The instrumentation and communications infrastructure and devices will be presented in some details along with the data processing and management systems and techniques. Teams of engineers and researchers use the collected data to verify the analysis and design assumptions and parameters as well as investigate the short-term and long-term behaviour and health of the Bridge. The collected data are also used in furthering research activities in the field of bridge engineering and in elevating our knowledge about behaviour, reliability and durability of such complex structures, their components and materials.
As computer programs become ever more complex, software development has shifted from focusing on programming towards focusing on integration. This paper describes a simulation access language (SimAL) that can be used to access and compose software applications over the Internet. Specifically, the framework is developed for the integration of tools for project management applications. The infrastructure allows users to specify and to use existing heterogeneous tools (e.g., Microsoft Project, Microsoft Excel, Primavera Project Planner, and AutoCAD) for simulation of project scenarios. This paper describes the components of the SimAL language and the implementation efforts required in the development of the SimAL framework. An illustration example bringing on-line weather forecasting service for project scheduling and management applications is provided to demonstrate the use of the simulation language and the infrastructure framework.
The construction management has been under pressure to reduce operating costs and to improve productivity using innovative information technologe (IT) solutions conformed to structural characteristics, site conditions and past experiences. Given the growing emphasis on effectiveness and efficiency in construction projects, there is an imminent need to develop a formal procedure to select the best IT application for each proposed construction project and research and development (R&D) project. As there are numerous factors that have to be considered in selecting appropriate IT in a given situation, decision-makers need to have multicriteria decision-making ability. To enable them to make the most appropriate decision in any situation, it is important that effective tools incorporating multicriteria decision-making techniques are available. In this paper, an Analytic Network Process (ANP) model is conducted for the selection of appropriate IT application for innovative construction management prior to construction or research. The paper concludes that the ANP is a viable and capable tool for conducting IT application selection in multicriteria decision-making environment.
Spatial data acquisition, integration, and modeling for real-time project life-cycle applications
(2004)
Current methods for site modeling employs expensive laser range scanners that produce dense point clouds which require hours or days of post-processing to arrive at a finished model. While these methods produce very detailed models of the scanned scene, useful for obtaining as-built drawings of existing structures, the associated computational time burden precludes the methods from being used onsite for real-time decision-making. Moreover, in many project life-cycle applications, detailed models of objects are not needed. Results of earlier research conducted by the authors demonstrated novel, highly economical methods that reduce data acquisition time and the need for computationally intensive processing. These methods enable complete local area modeling in the order of a minute, and with sufficient accuracy for applications such as advanced equipment control, simple as-built site modeling, and real-time safety monitoring for construction equipment. This paper describes a research project that is investigating novel ways of acquiring, integrating, modeling, and analyzing project site spatial data that do not rely on dense, expensive laser scanning technology and that enable scalability and robustness for real-time, field deployment. Algorithms and methods for modeling objects of simple geometric shape (geometric primitives from a limited number of range points, as well as methods provide a foundation for further development required to address more complex site situations, especially if dynamic site information (motion of personnel and equipment). Field experiments are being conducted to establish performance parameters and validation for the proposed methods and models. Initial experimental work has demonstrated the feasibility of this approach.