DocumentCode
3264260
Title
Intelligent systems approach for predicting defects in housing construction
Author
Ahmed, Z. ; Stephenson, P.
Author_Institution
Sch. of Constr., Sheffield Hallam Univ., UK
fYear
35765
fDate
8-10 Dec1997
Firstpage
303
Lastpage
308
Abstract
Building defects are a phenomenon occurring through the normal wear and tear of building use or resulting from natural climatic exposure effects. These defects are commonly unavoidable. The majority of building defects, however, occur due to malfunction and hence are of a premature nature. These types of defects are avoidable and relate to design and construction problems, in addition to poor quality maintenance work and general negligence and abuse by users (C. Briffet and Leng Aug Aik, 1991). Such problems have been estimated to represent 95% of all defects, with an annual cost around £1000 million. It is therefore clear that the elimination or substantial reduction of such defects provides a strong financial incentive to improve design and building processes. The paper identifies current methods employed by the construction industry to overcome and reduce the number of defects occurring on sites and illustrates the pitfalls of the current techniques. In addition, identification of future intelligent systems alternatives to the current techniques in avoiding building defects are presented
Keywords
building; civil engineering computing; construction industry; knowledge based systems; building defects; construction problems; defect prediction; financial incentive; housing construction; intelligent systems alternatives; intelligent systems approach; maintenance work; Building materials; Construction industry; Costs; Intelligent structures; Intelligent systems; Knowledge based systems; Manufacturing; Process design; Quality control; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Systems, 1997. IIS '97. Proceedings
Conference_Location
Grand Bahama Island
Print_ISBN
0-8186-8218-3
Type
conf
DOI
10.1109/IIS.1997.645267
Filename
645267
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