Structural damage identification: A random sampling-high dimensional model representation approach

2016 ◽  
Vol 19 (6) ◽  
pp. 908-927 ◽  
Author(s):  
Tanmoy Mukhopadhyay ◽  
Rajib Chowdhury ◽  
Anupam Chakrabarti
Keyword(s):  
Random Sampling ◽  
Structural Damage ◽  
Damage Identification ◽  
Model Representation ◽  
High Dimensional ◽  
High Dimensional Model Representation ◽  
Dimensional Model ◽  
Structural Damage Identification

Regularized random-sampling high dimensional model representation (RS-HDMR)

2007 ◽  
Vol 43 (3) ◽  
pp. 1207-1232 ◽  
Author(s):  
Genyuan Li ◽  
Herschel Rabitz ◽  
Jishan Hu ◽  
Zheng Chen ◽  
Yiguang Ju
Keyword(s):  
Random Sampling ◽  
Model Representation ◽  
High Dimensional ◽  
High Dimensional Model Representation ◽  
Dimensional Model

Random Sampling-High Dimensional Model Representation (RS-HDMR) and Orthogonality of Its Different Order Component Functions

2006 ◽  
Vol 110 (7) ◽  
pp. 2474-2485 ◽  
Author(s):  
Genyuan Li ◽  
Jishan Hu ◽  
Sheng-Wei Wang ◽  
Panos G. Georgopoulos ◽  
Jacqueline Schoendorf ◽  
...  
Keyword(s):  
Random Sampling ◽  
Model Representation ◽  
High Dimensional ◽  
High Dimensional Model Representation ◽  
Dimensional Model ◽  
Order Component ◽  
Different Order

HDMR-Based Model Update in Structural Damage Identification

2019 ◽  
Vol 16 (05) ◽  
pp. 1840004
Author(s):  
B. O. Naveen ◽  
A. S. Balu
Keyword(s):  
Genetic Algorithm ◽  
Structural Damage ◽  
Damage Identification ◽  
Model Updating ◽  
High Dimensional ◽  
High Dimensional Model Representation ◽  
Dimensional Model ◽  
Simply Supported ◽  
Model Update ◽  
Structural Responses

This paper presents a practical approach of model updating based on high-dimensional model representation (HDMR). The proposed methodology involves integrated finite element modeling, obtaining explicit relationships between the structural responses and parameters using HDMR and minimization of objective function developed using structural responses obtained from HDMR approximation functions using genetic algorithm. First, the efficiency of the proposed method is demonstrated by considering a simply supported beam example. Later model updating of an existing bridge is considered to check the adequacy of the proposed method.

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