Efficient methodology for the probabilistic safety assessment of high-speed railway bridges

Rocha, J; Henriques, António Abel; Calçada, Rui; Rönnquist, Anders

doi:10.1016/j.engstruct.2015.07.020

Cited by 34 publications

(11 citation statements)

References 20 publications

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“…Arvidsson et al [49] conducted parametric investigations of the dynamic performance of an existing railway line with more than 200 bridges and trains running over these bridges under random operating conditions. Rocha et al [88,160] carried out a safety assessment for a short-span bridge in a high-speed railway line and obtained the failure probability of the bridge through the MCM-based dynamic simulations with the uncertainties of the train-track-bridge system taken into account. Though considered as the most stable stochastic dynamics method, the MCM-based dynamic simulation is not acceptable in computation cost sometimes, especially for the train-track-bridge system.…”

Section: Evaluation Of the System With Uncertaintiesmentioning

confidence: 99%

Train–track–bridge dynamic interaction: a state-of-the-art review

Zhai

Han

Chen

et al. 2019

Vehicle System Dynamics

332

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Train-track-bridge dynamic interaction is a fundamental concern in the field of railway engineering, which plays an extremely important role in the optimal design of railway bridges, especially in high-speed railways and heavy-haul railways. This paper systematically presents a state-of-the-art review of train-track-bridge dynamic interaction. The evolution process of train-bridge dynamic interaction model is described briefly, from the simplest moving constant force model to the sophisticated train-track-bridge dynamic interaction model (TTBDIM). The modelling methodology of the key elements in the TTBDIM is systematically reviewed, including the train, the track, the bridge, the wheel-rail contact, the track-bridge interaction, the system excitation and the solution algorithm. The significance of detailed track modelling in the whole system is highlighted. The experimental research and filed test focusing on modelling validation, safety assessment and long-term performance investigation of the train-track-bridge system are briefly presented. The practical applications of train-track-bridge dynamic interaction theory are comprehensively discussed in terms of the system dynamic performance evaluation, the system safety assessment and train-induced environmental vibration and noise prediction. The guidance is provided on further improvement of the train-track-bridge dynamic interaction model and the challenging research topics in the future. ARTICLE HISTORY

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Section: Evaluation Of the System With Uncertaintiesmentioning

confidence: 99%

Train–track–bridge dynamic interaction: a state-of-the-art review

Zhai

Han

Chen

et al. 2019

Vehicle System Dynamics

332

View full text Add to dashboard Cite

show abstract

“…The existing research on HSR mainly focused on risk management and the application of technology. The application of technology related to: operation security (Rocha, Henriques, & Calçada, 2015;Gou, Ge, & Wang, 2016;Wu, Jiang, & Shi, 2016), HSR network topology (Cañizares, Pita, & Álvarez, 2015), inductive power transmission systems (Kim, B. S. Lee, & J. H. Lee, 2015;Guzinski, Diguet, & Krzeminski, 2009), HSR subgrade construction (Preteseille, Lenoir, & Gennesseaux, 2014), etc. The research on the risk management of HSR includes construction risks (Chen, Jiang, & Ye, 2016;Qing, Rengkui, & Jun, 2014), security risks (Brabie & Andersson, 2009), train scheduling risks (Cascetta & Coppola, 2016), etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Understanding Critical Variables Contributing to Competitive Advantages of International High-Speed Railway Contractors

Niu

Deng

Zhang

et al. 2019

Journal of Civil Engineering and Management

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This article is devoted to identifying and explaining the critical variables contributing to competitive advantages in international High-Speed Railway (HSR) projects from the contractor’s perspective. A total of 24 variables were identified by the literature review and a pilot study. An international questionnaire survey was performed to obtain professional opinions from both practitioners and the academy. The 24 variables were ranked and clustered into 6 factors using exploratory factor analysis. Furthermore, a case study of the Early Train Operator project of the California HSR was carried out by the survey, interview, and first-hand data. The results indicated that the top six ranked variables are (1) None Accident History, (2) Eligibility & International Criteria, (3) Contract Reputation, (4) Marketing Strategy, (5) Risk Management Capability, and (6) Technical Responsiveness. Furthermore, the 24 variables are grouped into six dimensions: Glocalization, Marketing, Safety, Economics, Technology, and Responsibility. The case study indicated that the factor framework was suitable and tractable for the application. The findings of this paper could (1) assist international HSR contractors in obtaining a better understanding of the deeper determinates of competitive advantages and (2) serve as a valuable reference for developing their competitive advantages in the international HSR market.

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“…For example, Roll and Verbeke discussed the financing of the trans-European high-speed rail networks [14]. Rocha et al focused on methods for assessing the safety of HSR bridges [15]. Gou et al paid attention to the electrical traction drive system of HSR [16].…”

Section: Literature Reviewmentioning

confidence: 99%

Investigating Political Risk Paths in International High-Speed Railway Projects: The Case of Chinese International Contractors

2019

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Contracting in international high-speed railway (HSR) projects is a risky business. The success of these projects and the sustainable development of international contractors are inseparable from effective risk management. However, limited research has been conducted to investigate the political risk involved in international HSR projects. As HSR development is becoming a more major part of the global construction market, this paper investigates the political risk factors specific to the projects and the relationships among the factors. Through a literature review and a pilot interview conducted with five Chinese professionals, 26 political risk factors were proposed. A questionnaire was then administered to 112 experts from both academia and industry to assess the significance of the factors. By applying partial least-squares structural equation modeling (PLS-SEM) technology, the 26 factors were clustered into eight groups, and 10 significant risk paths were identified. Specifically, “government attitudes” can directly influence the “investment profile” and “social support” can directly influence “government attitudes,” while “government instability,” “economic climate,” “financing and costs,” “external interference,” and “contractors’ operations” can indirectly influence investment profile by directly influencing “government attitudes” or “social support.” The findings of this study can assist international contractors with gaining a clear understanding of the political risk involved in international HSR projects, which will lead to more effective political risk management as well as better business decisions. Furthermore, this paper will contribute to the global body of knowledge in the area of political risk management for large-scale international projects.

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Efficient methodology for the probabilistic safety assessment of high-speed railway bridges

Cited by 34 publications

References 20 publications

Train–track–bridge dynamic interaction: a state-of-the-art review

Train–track–bridge dynamic interaction: a state-of-the-art review

Understanding Critical Variables Contributing to Competitive Advantages of International High-Speed Railway Contractors

Investigating Political Risk Paths in International High-Speed Railway Projects: The Case of Chinese International Contractors

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