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Global Sensitivity Analysis for Bridge Crane System by Surrogate Modeling
As key equipment for lifting and transporting duties, cranes are used in various industrial fields in modern productions. Thus, the dynamic problem of such crane system is commonly encountered in the design process. This paper presents a Monte Carlo-based global sensitivity analysis of the dynamic model of a bridge crane system using the surrogate model technique. To this regard, physical modeling and differential equation motion of a coupled crane system is first derived using the Lagrange equation. Then, the numerical solution is offered by using the Newmark-β integral method for characterizing dynamic responses of the crane system involving bridge beam, trolley, and payload. In order to compute Sobol sensitivity indices, the input-output correlation is formulated by a neural network-surrogate model formed from the numerical solutions. Finally, for the considered configuration, the importance levels of input variables with the corresponding estimated values of the first and total order sensitivity functions are demonstrated.
Global Sensitivity Analysis for Bridge Crane System by Surrogate Modeling
As key equipment for lifting and transporting duties, cranes are used in various industrial fields in modern productions. Thus, the dynamic problem of such crane system is commonly encountered in the design process. This paper presents a Monte Carlo-based global sensitivity analysis of the dynamic model of a bridge crane system using the surrogate model technique. To this regard, physical modeling and differential equation motion of a coupled crane system is first derived using the Lagrange equation. Then, the numerical solution is offered by using the Newmark-β integral method for characterizing dynamic responses of the crane system involving bridge beam, trolley, and payload. In order to compute Sobol sensitivity indices, the input-output correlation is formulated by a neural network-surrogate model formed from the numerical solutions. Finally, for the considered configuration, the importance levels of input variables with the corresponding estimated values of the first and total order sensitivity functions are demonstrated.
Global Sensitivity Analysis for Bridge Crane System by Surrogate Modeling
Lecture Notes in Civil Engineering
Ha-Minh, Cuong (editor) / Tang, Anh Minh (editor) / Bui, Tinh Quoc (editor) / Vu, Xuan Hong (editor) / Huynh, Dat Vu Khoa (editor) / Trinh, Van-Hai (author) / Nguyen, Viet-Tan (author) / Pham, Khac-Quang (author)
CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure ; Chapter: 28 ; 285-293
2021-10-28
9 pages
Article/Chapter (Book)
Electronic Resource
English
Overhead crane , Dynamic response , Global sensitivity , Uncertainty , Monte Carlo simulation , Neural network-based surrogate Engineering , Geoengineering, Foundations, Hydraulics , Sustainable Architecture/Green Buildings , Sustainable Development , Structural Materials , Cyber-physical systems, IoT , Professional Computing
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