27,323 research outputs found

    Structural Health Monitoring of Composite Airframe

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    Seminario impartido por el Profesor Aliabadi para describir los Ășltimos logros obtenidos en el seno de los grupos de investigaciĂłn que dirige en el Imperial College de Londres.Design and maintenance of future airframe composite structures is mainly influenced by the requirement to cope with accidental impact damage. The impact detection and identification strategy for existing structures is of primary importance both in structural health monitoring (SHM) and in non-destructive evaluation (NDE) techniques. Accurately detecting and characterizing an impact event based on sensor data leads us towards condition-based monitoring (CBM), where the subsequent damage can then be detected through active sensing strategies. In this talk, SHM techniques based ultrasonic guided wave will be presented for both passive and active SHM system. Application of these methods to complex stiffened panel will be shown through both experimental measurements and finite element simulations.Universidad de MĂĄlaga. Campus de Excelencia Internacional AndalucĂ­a Tech

    Structural health monitoring and bridge condition assessment

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    Thesis (Ph.D.) University of Alaska Fairbanks, 2016This research is mainly in the field of structural identification and model calibration, optimal sensor placement, and structural health monitoring application for large-scale structures. The ultimate goal of this study is to identify the structure behavior and evaluate the health condition by using structural health monitoring system. To achieve this goal, this research firstly established two fiber optic structural health monitoring systems for a two-span truss bridge and a five-span steel girder bridge. Secondly, this research examined the empirical mode decomposition (EMD) method’s application by using the portable accelerometer system for a long steel girder bridge, and identified the accelerometer number requirements for comprehensively record bridge modal frequencies and damping. Thirdly, it developed a multi-direction model updating method which can update the bridge model by using static and dynamic measurement. Finally, this research studied the optimal static strain sensor placement and established a new method for model parameter identification and damage detection.Chapter 1: Introduction -- Chapter 2: Structural Health Monitoring of the Klehini River Bridge -- Chapter 3: Ambient Loading and Modal Parameters for the Chulitna River Bridge -- Chapter 4: Multi-direction Bridge Model Updating using Static and Dynamic Measurement -- Chapter 5: Optimal Static Strain Sensor Placement for Bridge Model Parameter Identification by using Numerical Optimization Method -- Chapter 6: Conclusions and Future Work

    Structural health monitoring for wind turbine foundations

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    The construction of onshore wind turbines has rapidly been increasing as the UK attempts to meet its renewable energy targets. As the UK’s future energy depends more on wind farms, safety and security are critical to the success of this renewable energy source. Structural integrity of the tower and its components is a critical element of this security of supply. With the stochastic nature of the load regime a bespoke low cost structural health monitoring system is required to monitor integrity of the concrete foundation supporting the tower. This paper presents an assessment of ‘embedded can’ style foundation failure modes in large onshore wind turbines and proposes a novel condition based monitoring solution to aid in early warning of failure. The most common failure modes are discussed and a low-cost remote monitoring system is presented

    TREN, BIAYA, DAN TANTANGAN STRUCTURAL HEALTH MONITORING JEMBATAN

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    Abstract   Information technology and the Internet of Things are developing rapidly, resulting in changes in all fields, including monitoring and testing bridges. Structural Health Monitoring (SHM) is currently an alternative to replace conventional visual inspections. This study aims to determine trends in the use of Structural Health Monitoring on bridges, including cost factors and challenges faced, so that they can be considered and referenced in the installation of Structural Health Monitoring on bridges in the future. This study uses biblio-metric analysis methods and literature review. Bibliometric analysis was carried out to determine the type of bridge, the method of Structural Health Monitoring, the type of sensor, and the part that the sensor was installed on, so that the trend of Structural Health Monitoring installation could be observed. A literature review was carried out on the challenges that occurred and the cost factors that were considered and their potential in the future. This research shows that the method of Structural Health Monitoring is still evolving and that new technologies have been used to overcome various challenges, including the cost factor. If Structural Health Monitoring can be mass produced, the cost of producing Structural Health Monitoring is expected to decrease.   Keywords: bridge; structural health monitoring; visual inspection; bibliometrics     Abstrak   Teknologi informasi dan Internet of Things berkembang dengan pesat, yang mengakibatkan terjadinya perubahan di segala bidang, termasuk pada pemantauan dan pengujian jembatan. Structural Health Monitoring (SHM) saat ini menjadi alternatif untuk menggantikan inspeksi visual yang bersifat konvensional. Penelitian ini bertujuan untuk mengetahui tren penggunaan Structural Health Monitoring pada jembatan, termasuk faktor biaya dan tantangan yang dihadapi, sehingga dapat menjadi pertimbangan dan acuan dalam pemasangan Structural Health Monitoring pada jembatan di masa mendatang. Studi ini menggunakan metode analisis bibliometrik dan tinjauan literatur. Analisis bibliometrik dilakukan untuk mengetahui jenis jembatan, metode Structural Health Monitoring, jenis sensor, dan bagian yang dipasang sensor, sehingga tren pemasangan Struc-tural Health Monitoring dapat diamati. Tinjauan literatur dilakukan pada tantangan yang terjadi dan faktor biaya yang menjadi pertimbangan serta potensinya di masa mendatang. Penelitian ini menunjukkan bahwa metode Structural Health Monitoring masih terus berkembang dan berbagai teknologi baru telah digunakan untuk mengatasi berbagai tantangan, termasuk faktor biaya. Jika Structural Health Monitoring dapat dipro-duksi secara massal, biaya produksi Structural Health Monitoring diharapkan menurun.   Kata-kata kunci: jembatan; structural health monitoring; inspeksi visual; bibliometri

    TREN, BIAYA, DAN TANTANGAN STRUCTURAL HEALTH MONITORING JEMBATAN

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    Abstract   Information technology and the Internet of Things are developing rapidly, resulting in changes in all fields, including monitoring and testing bridges. Structural Health Monitoring (SHM) is currently an alternative to replace conventional visual inspections. This study aims to determine trends in the use of Structural Health Monitoring on bridges, including cost factors and challenges faced, so that they can be considered and referenced in the installation of Structural Health Monitoring on bridges in the future. This study uses biblio-metric analysis methods and literature review. Bibliometric analysis was carried out to determine the type of bridge, the method of Structural Health Monitoring, the type of sensor, and the part that the sensor was installed on, so that the trend of Structural Health Monitoring installation could be observed. A literature review was carried out on the challenges that occurred and the cost factors that were considered and their potential in the future. This research shows that the method of Structural Health Monitoring is still evolving and that new technologies have been used to overcome various challenges, including the cost factor. If Structural Health Monitoring can be mass produced, the cost of producing Structural Health Monitoring is expected to decrease.   Keywords: bridge; structural health monitoring; visual inspection; bibliometrics     Abstrak   Teknologi informasi dan Internet of Things berkembang dengan pesat, yang mengakibatkan terjadinya perubahan di segala bidang, termasuk pada pemantauan dan pengujian jembatan. Structural Health Monitoring (SHM) saat ini menjadi alternatif untuk menggantikan inspeksi visual yang bersifat konvensional. Penelitian ini bertujuan untuk mengetahui tren penggunaan Structural Health Monitoring pada jembatan, termasuk faktor biaya dan tantangan yang dihadapi, sehingga dapat menjadi pertimbangan dan acuan dalam pemasangan Structural Health Monitoring pada jembatan di masa mendatang. Studi ini menggunakan metode analisis bibliometrik dan tinjauan literatur. Analisis bibliometrik dilakukan untuk mengetahui jenis jembatan, metode Structural Health Monitoring, jenis sensor, dan bagian yang dipasang sensor, sehingga tren pemasangan Struc-tural Health Monitoring dapat diamati. Tinjauan literatur dilakukan pada tantangan yang terjadi dan faktor biaya yang menjadi pertimbangan serta potensinya di masa mendatang. Penelitian ini menunjukkan bahwa metode Structural Health Monitoring masih terus berkembang dan berbagai teknologi baru telah digunakan untuk mengatasi berbagai tantangan, termasuk faktor biaya. Jika Structural Health Monitoring dapat dipro-duksi secara massal, biaya produksi Structural Health Monitoring diharapkan menurun.   Kata-kata kunci: jembatan; structural health monitoring; inspeksi visual; bibliometri

    Compressive sampling for accelerometer signals in structural health monitoring

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    In structural health monitoring (SHM) of civil structures, data compression is often needed to reduce the cost of data transfer and storage, because of the large volumes of sensor data generated from the monitoring system. The traditional framework for data compression is to first sample the full signal and, then to compress it. Recently, a new data compression method named compressive sampling (CS) that can acquire the data directly in compressed form by using special sensors has been presented. In this article, the potential of CS for data compression of vibration data is investigated using simulation of the CS sensor algorithm. For reconstruction of the signal, both wavelet and Fourier orthogonal bases are examined. The acceleration data collected from the SHM system of Shandong Binzhou Yellow River Highway Bridge is used to analyze the data compression ability of CS. For comparison, both the wavelet-based and Huffman coding methods are employed to compress the data. The results show that the values of compression ratios achieved using CS are not high, because the vibration data used in SHM of civil structures are not naturally sparse in the chosen bases
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