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 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 for Carbon Fiber/Carbon Nanotube (CNT)/Epoxy Composite Sensor

2006 ◽  
Vol 321-323 ◽  
pp. 290-293 ◽  
Author(s):  
Sang Il Lee ◽  
Dong Jin Yoon
Keyword(s):  
Electrical Resistivity ◽  
Carbon Nanotube ◽  
Carbon Fiber ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Epoxy Composite ◽  
Structural Safety ◽  
Structural Health ◽  
Nanotube Composites ◽  
Carbon Fiber Epoxy

Structural health monitoring for carbon nanotube (CNT)/carbon fiber/epoxy composite was verified by the measurement of electrical resistivity. This study has focused on the preparation of carbon nanotube composite sensors and their application for structural health monitoring. The change of the electrical resistance was measured by a digital multimeter under tensile loads. Although a carbon fiber was broken, the electrical connection was still kept by distributed CNT particles in the model composites. As the number of carbon fiber breakages increased, electrical resistivity was stepwise increased. The CNT composites were well responded with fiber damages during the electro-micromechnical test. Carbon nanotube composites can be useful sensors for structural health monitoring to diagnose a structural safety and to prevent a collapse.

scholarly journals Research on the Progress of Interdigital Transducer (IDT) for Structural Damage Monitoring

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Wang Ziping ◽  
Xiong Xiqiang ◽  
Qian Lei ◽  
Wang Jiatao ◽  
Fei Yue ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Structural Damage ◽  
Large Scale ◽  
Safety Information ◽  
Health And Safety ◽  
Guided Wave ◽  
Structural Safety ◽  
Structural Health ◽  
Damage Monitoring

In the application of Structural Health Monitoring (SHM) methods and related technologies, the transducer used for electroacoustic conversion has gradually become a key component of SHM systems because of its unique function of transmitting structural safety information. By comparing and analyzing the health and safety of large-scale structures, the related theories and methods of Structural Health Monitoring (SHM) based on ultrasonic guided waves are studied. The key technologies and research status of the interdigital guided wave transducer arrays which used for structural damage detection are introduced. The application fields of interdigital transducers are summarized. The key technical and scientific problems solved by IDT for Structural Damage Monitoring (SHM) are presented. Finally, the development of IDT technology and this research project are summarised.

scholarly journals Numerical Study of a Multi-Layered Strain Sensor for Structural Health Monitoring of Asphalt Pavement

Proceedings ◽  
2019 ◽  
Vol 42 (1) ◽  
pp. 41
Author(s):  
Jiayue Shen ◽  
Minghao Geng ◽  
Abby Schultz ◽  
Weiru Chen ◽  
Hao Qiu ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Polyurethane Foam ◽  
Health Monitoring ◽  
Numerical Study ◽  
Asphalt Pavement ◽  
Strain Sensor ◽  
Traffic Load ◽  
Structural Health ◽  
Initiation And Propagation ◽  
Load Monitoring

Crack initiation and propagation vary the mechanical properties of the asphalt pavement and further alter its designate function. As such, this paper describes a numerical study of a multi-layered strain sensor for the structural health monitoring (SHM) of asphalt pavement. The core of the sensor is an H-shaped Araldite GY-6010 epoxy-based structure with a set of polyvinylidene difluoride (PVDF) piezoelectric transducers in its center beam, which serve as a sensing unit, and a polyurethane foam layer at its external surface which serves as a thermal insulation layer. Sensors are coated with a thin layer of urethane casting resin to prevent the sensor from being corroded by moisture. As a proof-of-concept study, a numerical model is created in COMSOL Multiphysics to simulate the sensor-pavement interaction, in order to design the strain sensor for SHM of asphalt pavement. The results reveal that the optimum thickness of the middle polyurethane foam is 11 mm, with a ratio of the center beam/wing length of 3.2. The simulated results not only validate the feasibility of using the strain sensor for SHM (traffic load monitoring and damage detection), but also to optimize design geometry to increase the sensor sensitivity.

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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