A residual strain energy based damage localisation method for offshore platforms under environmental variations

ABSTRACT Vibration-based damage identification methods are committed to detecting structural damage by examining changes in the vibration characteristics of structures. However, these characteristics are not only affected by the structural damage but also subject to the change of environmental condition. A new damage localisation method, termed as residual strain energy (RSE) method, which is capable of locating damage on 3D structures under environmental variations, is presented. This RSE method employs the residual mode shapes to construct the damage localisation indicator, in which the principal component analysis algorithm is introduced to eliminate the influence of environmental variations. Numerical simulations were conducted on a 3D offshore platform structure considering temperature variations. Results indicate that the RSE method can effectively eliminate environmental influences and identify structural damage sites correctly.

[1]  Hui Li,et al.  Modal identification of bridges under varying environmental conditions: Temperature and wind effects , 2009 .

[2]  C. Duchesne,et al.  Non-Destructive Testing of Baked Anodes Based on Modal Analysis and Principal Component Analysis , 2017 .

[3]  Bart Peeters,et al.  One year monitoring of the Z24-bridge : Environmental influences versus damage events , 2000 .

[4]  Pizhong Qiao,et al.  Vibration-based Damage Identification Methods: A Review and Comparative Study , 2011 .

[5]  Charles R. Farrar,et al.  Novelty detection under changing environmental conditions , 2001, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[6]  Wei Fan,et al.  Vibration-based Damage Identification Methods: A Review and Comparative Study , 2011 .

[7]  Guido De Roeck,et al.  The influence of environmental parameters on the dynamic behaviour of the San Frediano bell tower in Lucca , 2018 .

[8]  Gaëtan Kerschen,et al.  Structural damage diagnosis under varying environmental conditions - Part II: local PCA for non-linear cases , 2005 .

[9]  Hoon Sohn,et al.  An experimental study of temperature effect on modal parameters of the Alamosa Canyon Bridge , 1999 .

[10]  Shuqing Wang,et al.  Iterative two-stage approach for identifying structural damage by combining the modal strain energy decomposition method with the multiobjective particle swarm optimization algorithm , 2018, Structural Control and Health Monitoring.

[11]  S. Alampalli,et al.  Influence of in-service environment on modal parameters , 1998 .

[12]  David A. Clifton,et al.  A review of novelty detection , 2014, Signal Process..

[13]  Antony Darby,et al.  An approach to the design of buffer for a buffered impact damper , 2010 .

[14]  B. Peeters,et al.  Vibration-based damage detection in civil engineering: excitation sources and temperature effects , 2001 .

[15]  L. D. Mitchell,et al.  Variations in Structural Dynamic Characteristics Caused by Changes in Ambient Temperature: I. Experimental , 1996 .

[16]  Min Zhang,et al.  Structural Novelty Detection Based on Hilbert-Huang Transform and Principal Component Analysis , 2014 .

[17]  H. Abdi,et al.  Principal component analysis , 2010 .

[18]  Mir Mohammad Ettefagh,et al.  Developing a robust SHM method for offshore jacket platform using model updating and fuzzy logic system , 2011 .

[19]  Mingqiang Xu,et al.  Modal Strain Energy-based Structural Damage Identification: A Review and Comparative Study , 2018, Structural Engineering International.