Artificial Neural Network Approach for Grading of Maintainability in Wet Areas of High-Rise Buildings

M. Y.L. Chew, Nayanthara de Silva, S. S. Tan
2004 Architectural Science Review  
A maintainability grading system using artificial neural networks which aids in enhancing decision-making of wet area design is derived in this paper. The model was derived from comprehensive condition surveys of 450 tall buildings and in-depth assessment of a further 120 tall buildings and face-to-face interviews with the relevant building professionals. 16 important risk factors were identified and tested according to their sensitivity in affecting maintainability scoring for wet areas. The
more » ... or wet areas. The system allows complete evaluation of various alternative designs, materials, construction and maintenance practices, so as to achieve best possible solutions of technical attributes that lead to minimum life cycle maintenance cost.
doi:10.1080/00038628.2004.9697022 fatcat:ugeqw2at4jdqrgenqbe3blsyju