scholarly journals Eigenfrequency-Based Bayesian Approach for Damage Identification in Catenary Poles

2021 ◽  
Vol 6 (4) ◽  
pp. 57
Author(s):  
Feras Alkam ◽  
Tom Lahmer
Keyword(s):  
Damage Detection ◽  
High Speed ◽  
Damage Identification ◽  
Low Cost ◽  
High Speed Train ◽  
Noise Levels ◽  
Acceptable Error ◽  
Stochastic Framework ◽  
Identification Approach

This study proposes an efficient Bayesian, frequency-based damage identification approach to identify damages in cantilever structures with an acceptable error rate, even at high noise levels. The catenary poles of electric high-speed train systems were selected as a realistic case study to cover the objectives of this study. Compared to other frequency-based damage detection approaches described in the literature, the proposed approach is efficiently able to detect damages in cantilever structures to higher levels of damage detection, namely identifying both the damage location and severity using a low-cost structural health monitoring (SHM) system with a limited number of sensors; for example, accelerometers. The integration of Bayesian inference, as a stochastic framework, in the proposed approach, makes it possible to utilize the benefit of data fusion in merging the informative data from multiple damage features, which increases the quality and accuracy of the results. The findings provide the decision-maker with the information required to manage the maintenance, repair, or replacement procedures.

scholarly journals Damage Detection and Localization from Dense Network of Strain Sensors

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Simon Laflamme ◽  
Liang Cao ◽  
Eleni Chatzi ◽  
Filippo Ubertini
Keyword(s):  
Damage Detection ◽  
Damage Identification ◽  
Low Cost ◽  
Strain Sensors ◽  
Dense Network ◽  
Virtual Sensors ◽  
Large Structures ◽  
Complex Engineering ◽  
Detection And Localization

Structural health monitoring of large systems is a complex engineering task due to important practical issues. When dealing with large structures, damage diagnosis, localization, and prognosis necessitate a large number of sensors, which is a nontrivial task due to the lack of scalability of traditional sensing technologies. In order to address this challenge, the authors have recently proposed a novel sensing solution consisting of a low-cost soft elastomeric capacitor that transduces surface strains into measurable changes in capacitance. This paper demonstrates the potential of this technology for damage detection, localization, and prognosis when utilized in dense network configurations over large surfaces. A wind turbine blade is adopted as a case study, and numerical simulations demonstrate the effectiveness of a data-driven algorithm relying on distributed strain data in evidencing the presence and location of damage, and sequentially ranking its severity. Numerical results further show that the soft elastomeric capacitor may outperform traditional strain sensors in damage identification as it provides additive strain measurements without any preferential direction. Finally, simulation with reconstruction of measurements from missing or malfunctioning sensors using the concepts of virtual sensors and Kriging demonstrates the robustness of the proposed condition assessment methodology for sparser or malfunctioning grids.

Circumference Damage Identification in a Pipe Using Mode Conversion of Longitudinal Guided Wave

2013 ◽  
Vol 395-396 ◽  
pp. 787-791
Author(s):  
Jing Wu ◽  
Wei Wei Zhang
Keyword(s):  
Damage Detection ◽  
Damage Identification ◽  
Mode Conversion ◽  
Guided Wave ◽  
Symmetric Mode ◽  
Axially Symmetric ◽  
Mode Transformation ◽  
Damage Location

This paper aims to develop a method to identify the damage location in circumference direction of a pipe using mode transformation of longitudinal guided wave. The corrosion-like damage in bimetal pipe is considered. Case study that damage detection for a bimetal pipe is used to show the validity and advantage of the proposed method. It can be found that the axially symmetric mode guided wave encounter the damage and the three modes were received in reflection. The damage location in circumferential directions could be identified by conversed modes measured at one position. The simulation shows a good performance.

Open Innovation in France

2011 ◽  
pp. 308-329 ◽  
Author(s):  
Rachael J. Ritchie ◽  
Keith C. Culver
Keyword(s):  
21St Century ◽  
Open Innovation ◽  
High Speed ◽  
Innovation System ◽  
The State ◽  
High Speed Train ◽  
Innovation Cluster ◽  
National Competitiveness ◽  
Accelerate Development

France has long been associated with a state-directed “dirigiste” model of linear R&D focussed on large programmes such as development of the TGV high-speed train. Contemporary France has, however, largely left the state-centered model behind, introducing a range of devices since the turn of the 21st century aimed at opening French innovation to international and cross-sectoral collaboration for increased productivity and national competitiveness. This case study traces the opening of the French innovation system and the way one new academic, industrial and government collaboration aims to make use of new features of the system to accelerate development of an eco-innovation cluster focussed on cities of the future.

Towards Realistic High-Speed Train Channels at 5G Millimeter-Wave Band—Part II: Case Study for Paradigm Implementation

2018 ◽  
Vol 67 (10) ◽  
pp. 9129-9144 ◽  
Author(s):  
Ke Guan ◽  
Bo Ai ◽  
Bile Peng ◽  
Danping He ◽  
Guangkai Li ◽  
...  
Keyword(s):  
Millimeter Wave ◽  
High Speed ◽  
Wave Band ◽  
High Speed Train ◽  
Millimeter Wave Band

Energy and CO 2 life cycle inventory issues for aluminum based components: the case study of a high speed train window panel

2016 ◽  
Vol 126 ◽  
pp. 493-503 ◽  
Author(s):  
Giuseppe Ingarao ◽  
Yelin Deng ◽  
Roberta Marino ◽  
Rosa Di Lorenzo ◽  
Andrea Lo Franco
Keyword(s):  
Life Cycle ◽  
Life Cycle Inventory ◽  
High Speed ◽  
High Speed Train

Who Rides the High Speed Rail in the United States: The Acela Express Case Study

2010 ◽  
Author(s):  
Zhenhua Chen
Keyword(s):  
High Speed ◽  
The United States ◽  
External Factors ◽  
Least Square ◽  
High Speed Train ◽  
High Speed Rail ◽  
Rail Network ◽  
Policy Suggestions ◽  
Internal And External Factors

In this study, we focus on the Acela Express, and try to find out how selected internal and external factors affect the Acela Express’s ridership. A two-stage least square regression model is introduced in order to eliminate the endogeneity problem caused by price and ridership. Also the Cochrane-Orcutt Procedure is adopted to solve autocorrelation. The result shows that ticket price and train on-time performances, which are used to being thought as important factors affect ridership become insignificant, while other factors like employment of business and professional in the Northeast Corridor areas have higher influence on high speed train ridership. The broader objective of this research is to provide policy suggestions for building of an efficient high-speed rail network that can both be profitable and solve practical problems that the contemporary transportation system faces.

Case Study on FMECA and Risk Assessment for the Door System in High Speed Train

2013 ◽  
Vol 655-657 ◽  
pp. 2335-2339 ◽  
Author(s):  
Bi Hong Lu ◽  
Peng Hua ◽  
Zhen Liang Fu ◽  
Feng Gao
Keyword(s):  
Risk Assessment ◽  
High Speed ◽  
Failure Modes ◽  
Control Unit ◽  
High Speed Train ◽  
Locking Mechanism ◽  
Train Operation ◽  
Control Failure ◽  
Operation Risk

Based on the FMEA and risk assessment analysis method, authors proposed 25 kinds of failure modes about the door system of high-speed train, conducted a risk assessment from the risk grade and criticality. Four kinds of failure modes are obtained with the highest level of risk and criticality in the door system of high-speed train. They are control failure, communication failure, compensator failure and poor function. Four key components, affecting the door system safety of high-speed train, are identified in terms of door control unit, driving device, locking mechanism and platform compensator. Research outcomes can be used in analyzing the failure causes and specific solutions to reduce and avoid the high-speed train operation risk.

A Novelty Energy Storage Algorithm for High Speed Trains: Economical and Energy Saving Evaluation

2021 ◽  
Author(s):  
Mi̇ne Sertsöz
Keyword(s):  
Energy Storage ◽  
Energy Recovery ◽  
High Speed ◽  
Regenerative Braking ◽  
Utilization Rate ◽  
High Speed Train ◽  
Rail Systems ◽  
High Speed Trains ◽  
Braking Energy Recovery

Abstract Increasing the utilization rate of regenerative braking energy in rail systems is one of the ongoing applications increasing in significance in recent years. This study develops a novelty algorithm within the scope of this objective and provides the calculation of the regenerative braking energy recovery rate and then making a decision for storage or back to grid of this energy. Afterwards, the regenerative braking energy was calculated with the help of this algorithm for Eskisehir-Ankara and Ankara-Eskisehir trips in two different passengers (load) scenarios, using the YHT 65000 high-speed train, which was chosen as a case study. Then, with a decision maker added to this classical regenerative braking energy algorithm, it will be decided whether this energy will be stored or forward back into the grid for the purpose of providing non-harmonic energy to the grid.

Case Study: Predicted Effect of Station Design Changes on High Speed Train Noise

2002 ◽  
Vol 9 (4) ◽  
pp. 311-323 ◽  
Author(s):  
Chan-Hoon Haan
Keyword(s):  
High Speed ◽  
Effective Area ◽  
High Speed Train ◽  
Noise Levels ◽  
Noise Barriers ◽  
Railway Stations ◽  
Design Changes ◽  
Level Data ◽  
High Speed Trains ◽  
Main Station

The present study investigates the effects of design changes on high-speed train noise in railway stations. Noise barriers alongside the tracks and various absorptive materials applied to interior station surfaces are considered. TGV noise level data was used to predict the sound power levels of the high-speed trains. Computer simulations were used to predict noise levels on platforms during a high-speed train pass, and the expected noise reductions for various interior absorptive materials. It was found that a minimum barrier height of 1.8m, which is equivalent to the height from the rail floor to the bottom of the cabin window, is required to prevent noise diffraction. It was also found that any structures over the tracks could increase the noise levels up to 2.5dB in the platform area. The main station ceiling is the most effective area to control reverberation and improve the clarity of sound from broadcast systems.

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