contributor author | Yassir A. AbdelRazig | |
contributor author | Luh-Maan Chang | |
date accessioned | 2017-05-08T22:41:37Z | |
date available | 2017-05-08T22:41:37Z | |
date copyright | December 2000 | |
date issued | 2000 | |
identifier other | %28asce%290733-9364%282000%29126%3A6%28422%29.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/86711 | |
description abstract | Computerized intelligent systems can simulate human expertise as well as analyze and process vast amounts of data instantaneously. This paper presents a hybrid intelligent computerized model for constructed facilities surface quality assessment. The model uses computers to analyze digital images of the areas to be assessed to identify and measure defects. Moreover, neural networks are used to train the system to automate the process and replicate the experts' knowledge in identifying the defects. Most techniques, currently used in construction quality assessment, rely mostly on subjective criteria. The model applies digital image processing and neural network techniques for constructed facilities surface quality assessment to make the process objective, quantitative, consistent, and reliable. Highway steel bridge coating assessment was used to exemplify the generic model. | |
publisher | American Society of Civil Engineers | |
title | Intelligent Model for Constructed Facilities Surface Assessment | |
type | Journal Paper | |
journal volume | 126 | |
journal issue | 6 | |
journal title | Journal of Construction Engineering and Management | |
identifier doi | 10.1061/(ASCE)0733-9364(2000)126:6(422) | |
tree | Journal of Construction Engineering and Management:;2000:;Volume ( 126 ):;issue: 006 | |
contenttype | Fulltext | |