Improved TOPSIS Model and Its Application in Online Structural Health Monitoring System for Portal CraneSource: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2020:;volume( 003 ):;issue: 001::page 011006-1DOI: 10.1115/1.4045577Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Fracture of the metal structure is one of the foremost causes of accidents for portal cranes, and such an accident can be catastrophic, resulting in great loss of life and large expenses. Assessing the structural health of portal crane is important as it can keep security threats from further development. In an effort to evaluate the structural health of portal cranes in real time, an improved technique for order preference by similarity to an ideal solution (TOPSIS) model is presented in this paper. By integrating the fitting function of the bathtub curve, an optimization function f(aij) of condition matrix aij is proposed. Entropy-weight method is improved and applied to determine the weights of criteria. Based on the historical operation data, an update method for positive-ideal condition A+ and negative-ideal condition A− is elucidated. To further substantiate the improvement, the proposed methodological model is applied to an online structural health monitoring system for portal crane. Laboratory test and field test have been conducted. Structural strain, inclination, and pitch angle of portal crane are collected. Structural health assessment during lifting, luffing, and turning processes are carried out. The results show that the improved model gets a more stable and effective structural health assessment result, and is favorable for online structural health monitoring system. Thus, the proposed model can be applied to other problems of structural health assessment.
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contributor author | Li, Fugang | |
contributor author | Xu, Feiyun | |
date accessioned | 2022-02-04T22:59:19Z | |
date available | 2022-02-04T22:59:19Z | |
date copyright | 2/1/2020 12:00:00 AM | |
date issued | 2020 | |
identifier issn | 2572-3901 | |
identifier other | nde_3_1_011006.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4275852 | |
description abstract | Fracture of the metal structure is one of the foremost causes of accidents for portal cranes, and such an accident can be catastrophic, resulting in great loss of life and large expenses. Assessing the structural health of portal crane is important as it can keep security threats from further development. In an effort to evaluate the structural health of portal cranes in real time, an improved technique for order preference by similarity to an ideal solution (TOPSIS) model is presented in this paper. By integrating the fitting function of the bathtub curve, an optimization function f(aij) of condition matrix aij is proposed. Entropy-weight method is improved and applied to determine the weights of criteria. Based on the historical operation data, an update method for positive-ideal condition A+ and negative-ideal condition A− is elucidated. To further substantiate the improvement, the proposed methodological model is applied to an online structural health monitoring system for portal crane. Laboratory test and field test have been conducted. Structural strain, inclination, and pitch angle of portal crane are collected. Structural health assessment during lifting, luffing, and turning processes are carried out. The results show that the improved model gets a more stable and effective structural health assessment result, and is favorable for online structural health monitoring system. Thus, the proposed model can be applied to other problems of structural health assessment. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Improved TOPSIS Model and Its Application in Online Structural Health Monitoring System for Portal Crane | |
type | Journal Paper | |
journal volume | 3 | |
journal issue | 1 | |
journal title | Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems | |
identifier doi | 10.1115/1.4045577 | |
journal fristpage | 011006-1 | |
journal lastpage | 011006-8 | |
page | 8 | |
tree | Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2020:;volume( 003 ):;issue: 001 | |
contenttype | Fulltext |