Sacks, R (1997) Computer integrated construction: project data model representation and use. Unpublished PhD thesis, Technion Israel Institute of Technology, Israel.
Abstract
"Computer Integrated Construction (CIC) aims to achieve comprehensive computerization of the construction process, through automation of information management and, in certain cases, automation of information production. A number of research projects at the Technion have aimed towards development of an 'Automated Building System', which is intended to produce most of the information required for design and construction. Its use could drastically reduce the labor resources required for these tasks and could also improve design quality. The research reported here aims to define the knowledge modules and databases of such a system, to develop an information model, and to test feasibility by implementing a module for structural design. The research is limited to rectangular shaped buildings. Initially, the parts of the system were defined. Knowledge Modules (computer programs incorporating knowledge-based technologies) advance the project through predefined design and planning stages. External data bases provide information on the physical and economic environment of the project. As a project advances, its data are accumulated in a Building Project Model. A User Interface enables architects and engineers to monitor and control the information produced at each stage. A Building Project data Model, which defines how the data are stored, was developed. The data model is object-oriented; its structure is defined by classes arranged in inheritance trees. Possible links between instances of the classes were also detailed. The model has three axes, which describe 1) a building's spaces; 2) its physical systems and parts, and 3) the activities and resources required for its construction. Each axis has three levels of detail. The model was implemented using the ""AutoLISP++"" development environment. An existing building was described in terms of the model, and the information stored was tested for completeness by means of automatic production of construction drawings. Finally, in order to show how a knowledge module can function using a building project model and external data bases, one module of the system (structural design) was implemented. At the general design stage, this module a) determines the most economic column spacings for the structure; b) selects an appropriate slab work assembly for each floor; and c) arranges the elements of each work assembly (columns and slab). At the detailed design stage, the dimensions of each element are detailed. Implementation was restricted to central core solutions and reinforced concrete slabs. Experimental runs showed that structural design of a typical eight story reinforced concrete office building can be performed within a few hours. A technique called Intelligent Parametric Templates (IPTs) was developed for automating structural design. The design process is based on selection of complete Work Assemblies (as defined in the Project Model) for the functional system requirements of a building's spaces. In the IPT paradigm, all of the knowledge about a work assembly required for its use (attributes, rules, formulae, queries, etc.), is stored in a form which parallels its definition in the project model. This research contributes a detailed definition of an automated building system, definition and implementation of the Building Project data Model, and development and implementation of both a structural design knowledge module and the IPT technique."
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | computer integrated construction; model; project data |
| Index terms: | office building, database, engineer, reinforced concrete slab, labour resource, dimension, automation, implementation, computer program, design and construction, module, architect, building system, paradigm, column, project data, user interface, drawing, design quality, design process, structural design, design stage, reinforced concrete, data model, construction process |
| Subjects: | data management, business economics, building construction, human-computer interaction, structural engineering, architectural elements, education and knowledge transfer, software systems, automation and robotics, technical documentation, building materials, contractual arrangements, data science, professional practice, health monitoring assessment and metrics, construction type, architectural engineering, profession, data collection methods, engineering systems, design methods |
| Topics: | Construction Technology, Procurement, Roles and Professions, Research Practice, Engineering Principles, Construction Materials, Business Strategy, Health and Safety, Site Management, Design Practice, Digital Applications |
| Descriptive scope: | 4 PCTE |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here