Characterizing water-on-deck propagation with a nonlinear advection-diffusion equation

被引:2
|
作者
Gonzalez-Olvera, Marcos A. [1 ]
Torres, Lizeth [2 ]
Fontes, Jassiel V. H. [3 ]
Mendoza, Edgar [2 ]
机构
[1] Univ Autonoma Ciudad Mexico UACM, Mexico City 09790, DF, Mexico
[2] Univ Nacl Autonoma Mexico II UNAM, Mexico City 04510, DF, Mexico
[3] Univ Estado Amazonas UEA, Escola Super Tecnol EST, BR-69050020 Manaus, Amazonas, Brazil
关键词
Shipping water; Parameter identification; Adaptive estimator; Advection-diffusion equation; TIME-DOMAIN CALCULATION; CONVOLUTION MODEL; LOADS; SHIP; EVOLUTION; MOTIONS; SEAS;
D O I
10.1007/s40430-022-03718-1
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Shipping water events (SWE) occur when incident waves flood and propagate over the deck of maritime structures, usually during extreme wave climate. SWE can cause structural damage, unexpected overloading, human losses or even spills of products that are harmful to the environment. Therefore, the estimation of variables that help to predict the evolution of these events is highly helpful to lessen catastrophic consequences. In this regard, this work proposes a model-based approach to describe the spatiotemporal evolution of SWE on a fixed structure with a horizontal propagation domain. The approach is based on a model expressed as an advection-difussion equation with space-dependent nonlinear coefficients. To explore the suitability of the model, for characterizing the SWE evolution, its numerical response is compared with elevation data of SWE generated in a channel by incident regular wave trains. For the comparison, the model coefficients were estimated from an experimental data set with the use of an adaptive observer. The results of the comparison show that the response of the model allows to represent the physics of the analyzed SWE in an acceptable way. The advantage of using an adaptive observer for the estimation is that it can be used in further applications where the actual values of varying coefficients could be required in a reasonable computational time.
引用
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页数:13
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