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- 2004 (123) (remove)
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.
Cost and Schedule Controlling in Relation to Liquidity Management during Construction Projects
(2004)
The present paper describes a software application which can be used for relating the scheduled events of a construction project with the respective financial parameters, leading to an overall improvement in general controlling and liquidity management. For this purpose, existing construction schedules are taken and details of the assignment are recorded. Thus it becomes possible to assess a future payment status should changes in the designated schedule occur.
The methods currently used for scheduling building processes have some major advantages as well as disadvantages. The main advantages are the arrangement of the tasks of a project in a clear, easily readable form and the calculation of valuable information like critical paths. The main disadvantage on the other hand is the inflexibility of the model caused by the modeling paradigms. Small changes of the modeled information strongly influence the whole model and lead to the need to change many more details in the plan. In this article an approach is introduced allowing the creation of more flexible schedules. It aims towards a more robust model that lowers the need to change more than a few information while being able to calculate the important propositions of the known models and leading to further valuable conclusions.
Some key facts about the economic environment of construction industry are explained. It is shown that construction industry is very heterogeneous and has changed drastically during the recent years due to a rapidly moving commercial environment. Two examples of todays’s use of virtual construction tools in construction projects are presented. The first example is the document control for a large international project. The second is the application of 4D modelling in the preconstruction phase of a dam project. It is shown that virtual construction, is a major international trend that currently takes up speed. Some generic industry needs for Research and Development which aims at short and medium term results are presented.
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.
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.
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. ...
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.
At the start of the conceptual design process, designers start to give tangible form to their thoughts by sketching. This helps with reasoning and communicates ideas to other members of the team. Sketches are gradually worked up into more formal drawings which are then passed to the other stages of the design process. There are however some problems with basing early ideas on sketching. For example, due to their ad-hoc nature, sketches tend only to be diagrammatic representations and so designers cannot be sure that their ideas are feasible and what is being proposed meets the constraints described in the client brief. This can result in designers wasting time working up ideas which prove to be unsuitable. Also the process of constraint checking is complex and time consuming and so designers tend limit their search of possible options and instead choose satisfying rather than good solutions. This paper describes the INTEGRA project which examines the role of sketching in early conceptual design and how this can be linked to other aspects of the process and particularly automated constraint checking using an IT based approach. The focus for the work is the design of framed buildings. A multi-disciplinary approach has been adopted and the work has been undertaken in close collaboration with practising designers and clients.
Building project, with many different players involved, requires open and commonly accepted standard for product model description. Product model based design tools support easy comparisons of design alternatives and optimisation of design solution technical quality. This supports client s decision-making and design target comparisons through the whole building project. Use of product models enable these tasks to meet both schedule and cost requirements Olof Granlund is using product models and interoperable software as the main tool in projects. The use and the realised benefits are illustrated by examples from 3 different real projects: University building, where product models were used already in the very early phases by the whole design team. Office building for research organisation, where product models were used in so called self-reporting building system. Headquarters for international company, where product models were widely used for building performance analysis and visualisations in design phase as well as for facilities management system configuration for operational phase.