Chew, M Y L; De Silva, N and Tan, S S (2004) A neural network approach to assessing building façade maintability in the tropics. Construction Management and Economics, 22(6), pp. 581-594. ISSN 0144-6193
Abstract
A model was developed to assess the maintainability of façade using neural network techniques. Inputs were derived from comprehensive studies of 570 tall buildings (more than 12 stories) through detailed field evaluation and interviews with professionals in the whole building delivery process. Sensitivity analysis showed that the most significant factors associated with façade maintainability include the system selection, detailing, accessibility and material performance.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | building defect; façade; maintainability; neural network; risk; sensitivity analysis |
| Index terms: | neural network, tall building, accessibility, sensitivity analysis, interview, building defect, maintainability |
| Subjects: | artificial intelligence, maintenance engineering, data collection methods, inclusive design, environmental hazards, professional practice, construction type |
| Topics: | Design Practice, Construction Technology, Research Practice, Business Strategy, Digital Applications, Sustainability |
| Descriptive scope: | 3 PCE |
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