scholarly journals A Two-Step Strategy for System Identification of Civil Structures for Structural Health Monitoring Using Wavelet Transform and Genetic Algorithms

2017 ◽  
Vol 7 (2) ◽  
pp. 111 ◽  
Author(s):  
Carlos Perez-Ramirez ◽  
Arturo Jaen-Cuellar ◽  
Martin Valtierra-Rodriguez ◽  
Aurelio Dominguez-Gonzalez ◽  
Roque Osornio-Rios ◽  
...  
Keyword(s):  
Genetic Algorithms ◽  
Wavelet Transform ◽  
System Identification ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Civil Structures ◽  
Structural Health

Structural Health Monitoring of Subsea Pipelines by Genetic Algorithms

2015 ◽  
Author(s):  
X. M. Wang
Keyword(s):  
Genetic Algorithms ◽  
System Identification ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Numerical Study ◽  
Offshore Structures ◽  
Structural Safety ◽  
Structural Health ◽  
Subsea Pipelines ◽  
Identification Strategy

The measured dynamic response can be used to calibrate and update the numerical model used in the design so as to better predict the structural response and assess the structural safety, by means of a suitable system identification strategy, which can be further applied to monitor the “health” of the structures continuously. Recently, structural health monitoring (SHM) of offshore structures has increasingly gained more and more attention as it can provide useful information to predict potential damages or accidents. This paper presents a numerical study on subsea pipeline bedding condition assessment, focusing on pipe integrity and free span identification. Since subsea pipelines are usually very long without clear boundaries, only a span of pipelines is modeled to study. Improved Genetic algorithms (GA) method is adopted to identify the key parameters, due to its advantages of robustness and ease of implementation. Output-only substructural identification is formulated and applied. Numerical study is conducted by Fortran programming, and it is shown that the proposed identification strategy is effective for global system identification of subsea pipelines.

scholarly journals Toward the development of standardized procedures for structural health monitoring

2019 ◽  
Author(s):  
Maria Pina Limongelli
Keyword(s):  
Structural Health Monitoring ◽  
Nondestructive Testing ◽  
Health Monitoring ◽  
Structural Response ◽  
Health Conditions ◽  
Practical Implementation ◽  
Civil Structures ◽  
Structural Health ◽  
The World ◽  
Limited Diffusion

<p>Monitoring of structural health conditions is performed using different methods that range from periodic surveys including nondestructive testing at selected locations, to permanent monitoring using network of sensors continuously recording the structural response. These procedures aim at providing detection of possible faults or deterioration processes in order to optimally manage civil structures and infrastructures over the lifecycle. To date several guidelines have been published by different countries all over the world but protocols to apply SHM are generally not defined nor enforced. This is likely to be of the reasons that stand behind the limited diffusion and implementation of SHM for routine operations of condition assessment. In this paper building the principal aspects of the SHM process are presented and the need of the development of protocols for the different phases of the SHM process, from design to practical implementation and use are outlined.</p>

Optimal Accelerometer Locations for Structural Health Monitoring Using Time-Domain System Identification

2006 ◽  
Vol 321-323 ◽  
pp. 273-277 ◽  
Author(s):  
Soon Jung Kwon ◽  
Hae Sung Lee ◽  
Soo Bong Shin
Keyword(s):  
System Identification ◽  
Structural Health Monitoring ◽  
Fisher Information ◽  
Health Monitoring ◽  
Time Domain ◽  
Fisher Information Matrix ◽  
Structural Parameters ◽  
Hessian Matrix ◽  
Information Matrix ◽  
Structural Health

The paper presents two algorithms for determining optimal accelerometer locations for structural health monitoring when structural condition is assessed by a system identification scheme in time-domain. The accelerometer locations are determined by ranking the components of an effective independent distribution vector computed from a Fisher information matrix. One of the proposed algorithms formulates a Fisher information matrix by multiplying acceleration matrix with its transpose and the other as a Gauss-Newton Hessian matrix composed of acceleration sensitivities with respect to structural parameters. Since the structural parameters cannot be known exactly in an actual application, a statistical approach is proposed by setting an error bound between the actual and the baseline values. To examine the algorithm, simulation studies have been carried out on a two-span planar truss. The results using locations selected by the two algorithms were compared.

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