Ballal, T M A and Sher, W D (2003) Artificial neural network for the selection of buildable structural systems. Engineering, Construction and Architectural Management, 10(4), pp. 263-271. ISSN 0969-9988
Abstract
In this study, artificial neural networks have been developed to acquire construction knowledge from past projects to integrate buildability considerations into the preliminary structural design process. Four artificial neural network models are presented. These allow the generation of an expeditious solution for given sets of design and buildability constraints. Once information is entered into the models, a recommendation of which structural scheme to choose is generated instantaneously. Thus, valuable design time is released, allowing designers the opportunity to invest in other equally important design tasks. The information entered into the models consists of site-related information including site access; availability of working space; and speed of erection, and conceptual design information including type of building; number of storeys and gross floor area. The results show that artificial neural networks can be successfully used for the implementation of buildability at the preliminary stage of design.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | buildings; neural net; structural design; technical regulations |
| Index terms: | buildability, regulation, artificial neural network, neural net, conceptual design, implementation, designer, gross floor area, structural design |
| Subjects: | design practice, artificial intelligence, profession, contractual arrangements, architectural engineering, political science, modelling and simulation, building performance, design efficiency |
| Topics: | Governance, Digital Applications, Research Practice, Design Practice, Roles and Professions, Procurement |
| Descriptive scope: | 2 PC |
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