Study of Experimental Design and Data Fusion Techniques to Construction Engineering Application

• Main Authors: Jing-Cheng Chen, 陳滰埕
• Other Authors: Sou-Sen Leu
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/2f5a3t

碩士 === 國立臺灣科技大學 === 營建工程系 === 105 === There are many uncertainties in construction engineering problem, such as structure safety detection, reliability analysis, building damage detection. Their experiment results vary because they could be influenced by many internal and external factors. In order to make the detection complete, it is necessary to use experimental design to explore all possible factors and then to apply data fusion to conclude the results. This study takes the pipeline leak detection as an example to test the above-mentioned process. This research designs possible water network condition using design of experiement (DOE). We set demand’s measurement data and supply pressure as input and use simulation software to simulate water network conditions. Then we get pipe flow initial parameters and put into optimization algorithm to calibrate them. After that, the concepts of volume balance and tolerance design are used to determine the leakage. Finally, using data fusion techniques analyze leak probability.