• Korean Journal of Construction Engineering and Management
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• v.10 no.3
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• pp.130-138
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• 2009

Bromilow's time-cost (BTC) relationship was examined for building projects in Vietnam using actual construction time and total construction cost. Data set was collected from 77 historical building construction projects completed between 1999 and 2005 which were adjusted by consumer price index (CPI) to 2000 price. Time-cost equations were specified respected to two sectors, public and private, in Vietnamese construction industry and all cases. It is shown that a public funded building project has the longer construction duration than a similar budget private funded project. The resulting models are statistically significant. The adjusted R-square coefficients of all cases, public and private projects models are respectively 0.403, 0.436 and 0.377 mean that the BTC regression lines moderately fit the data set.

• Proceedings of the SAREK Conference
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• 2007.11a
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• pp.316-321
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• 2007

It is difficult for a superintendent or an operator of building service systems and equipment to decide the reasonable time for management of himself due to the shortage of his specialty for repair or replacement of a part of or whole equipment. But The reliable life expectancies for various building service equipment have not been prepared yet. This study shows the difference of optimal economic life and the decrease of running cost and energy consumption according to management level of the building equipment by the LCC analysis. The numerical model for building HVAC system was composed and analyses were performed for several parameters with management.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1383-1387
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• 2009

As information technologies in construction field get developed, various studies and projects are in progress for improvement of construction industry. Meanwhile, web-basis online system for building materials is tending upward. However, most of the informations about classification system for building materials and specifications are not systematic yet. Most field staffs have some troubles in making full use of the material information, repeating inefficient works from constructional design to the maintenance of it. This study designed auto-categorization system classified by materials, multi-search engines, auto-converting/creating electronic catalog as well as RFID search support to provide standardized building materials information.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.606-614
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• 2005

This paper deals with new realizations of research, scientific development, managerial and economic optimizations for prefabricated building systems. In the literature, all scientific fields are worked out based on the efficiencies, costs, benefits, choice of execution design, technical demands, aesthetical point of view, as well as the total economics. In the present example of a school-building for communities in the third world, the following criteria have been regarded: The optimal superstructure of prefabricated concrete building systems; the particularity of countries of the Third World (e.g. the climate, the political and the economic conditions); the time for construction and necessary innovative developments for an economically optimized superstructure. Added to this are alternative construction-methods and costs for a simple but variable system which can be adapted to changing functions, where variability should be the main point. For example, a school building that is to be adapted by varying number of rooms to cater for the growing number of pupils.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.723-727
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• 2015

Building energy use estimation relies on building characteristics, its energy systems, occupants, and weather. Energy estimation of new buildings is considerably an easy task when compared to modeling existing buildings as they require calibration with actual data. Particularly, when energy estimation of existing building stock is warranted at a city-scale, the problem is exacerbated owing to lack of construction drawings and other engineering specifications. However, as collection of buildings and other infrastructure constitute cities, such predictions are a necessary component of developing and maintaining sustainable cities. This paper uses Artificial Neural Network techniques to predict electricity consumption for residential buildings situated in the City of Gainesville, Florida. With the use of 32,813 samples of data vectors that comprise of building floor area, built year, number of stories, and range of monthly energy consumption, this paper extends the prediction to environmental impact assessment of electricity usage at the urban-scale. Among others, one of the applications of the proposed model discussed in this paper is the study of urban scale Life Cycle Assessment, and other decisions related to creating sustainable cities.

• Fire Science and Engineering
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• v.23 no.3
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• pp.23-30
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• 2009

For managing fire safety system in building by ubiquitous management system, the index system to express the performance level of fire protection system is demanded. If some component formed fire protection system such as sprinkler water supply system is breakdown, that will fall down the performance of fire protection capacity. Consequently, it will affects the level of fire safety of building management and energy response. Consequently, Building fire protection system could give performance level of fire protection condition and the level of fire safety in building. It will also contribute to the development of wide area fire safety management. This development of index system has been developed as a part of the development project of Ubiquitous building fire management system.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.408-417
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• 2022

Although traditionally perceived as being a visualization and asset management resource, the relatively rapid rate of improvement of computing power, coupled with the proliferation of cloud and edge computing and the IoT has seen the expanded functionality of modern Digital Twins (DTs). These technologies, when applied to buildings, are now providing users with the ability to analyse and predict their energy consumption, implement building controls and identify faults quickly and efficiently, while preserving acceptable comfort and well-being levels. Furthermore, when these building DTs are linked together to form a community DT, entirely new and novel energy management techniques, such as demand side management, demand response, flexibility and local energy markets can be unlocked and analysed in detail, creating circularity in the economy and making ordinary building occupants active participants in the energy market. Through the EU Horizon 2020 funded TwinERGY project, three different levels of DT (consumer - building - community) are being created to support the creation of local energy markets while optimising building performance for real-time occupant preferences and requirements for their building and community. The aim of this research work is to demonstrate the development of this new, interrelated, multi-level DT that can be used as a decision-making tool, helping to determine optimal scenarios simultaneously at consumer, building and community level, while enhancing and successfully supporting the community's management plan implementation.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05a
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• pp.3-4
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• 2010

With improvements of information technology, the cases which automation technology are applied to construction site are increased. These technologies have advantages and limitations for construction site, therefore they has to be considered in order to maximize benefit. This study are to suggest the process for optimizing management of steel framing high-rise building construction.

• Journal of Families and Better Life
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• v.22 no.3
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• pp.95-105
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• 2004

The purpose of this study was to identify the relations among management for residents, sense of community and common space for residents which provided in high rise mixed-use residential building constructed at the end of 1990s. Research method was social survey with questionnaire from 178 subjects collected by the snow ball sampling. Statistical analysis was done by the SPSS 10 for Windows program using frequency, percentage, t-test, one-way ANOVA. Research results showed high degree of residents' management satisfaction in the area of fitness space and business service. And they also showed high degree of residents' satisfaction in common space which include swimming pool, shower and sauna facilities. Satisfaction degree of management for residents became high with the support of residents' common space, so the management of residents' common space might be important in the management of high rise mixed-use residential building. Finally, residents' management and residents' common spaces have an important role to enhance the sense of community.

• Journal of the Korean Society of Industry Convergence
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• v.9 no.4
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• pp.293-300
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• 2006

Utilizing a building model design of the investigation factors and structured questionnaire, the results of an investigation concerning the improvement factors in the construction phase, as perceived by academic staffs including graduate students, designers, contractors and property management teams, are presented. Findings reveal that management commitment dominate improvement factors for building projects, although construction firms frequently mentioned the team work in design firms. Significant improvements in building projects are obtained when college programs include courses that treat the administrative aspects involved in the building project and that continuing education programs cover quality training. Eighteen predominant selection factors are identified, ranked and correlated.