Predicting rail defect frequency: An integrated approach using fatigue modeling and data analytics
出版年份 2019 全文链接
标题
Predicting rail defect frequency: An integrated approach using fatigue modeling and data analytics
作者
关键词
-
出版物
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2019-05-17
DOI
10.1111/mice.12453
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Exploring the impact of foot-by-foot track geometry on the occurrence of rail defects
- (2019) Reza Mohammadi et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Full Gibbs Sampling Procedure for Bayesian System Identification Incorporating Sparse Bayesian Learning with Automatic Relevance Determination
- (2018) Yong Huang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Identifiability-Enhanced Bayesian Frequency-Domain Substructure Identification
- (2018) Ka-Veng Yuen et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A Customized Hybrid Approach to Infrastructure Maintenance Scheduling in Railroad Networks under Variable Productivities
- (2018) Siyang Xie et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A Nonballasted Rail Track Slab Crack Identification Method Using a Level-Set-Based Active Contour Model
- (2018) Chengbo Ai et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Recent applications of big data analytics in railway transportation systems: A survey
- (2018) Faeze Ghofrani et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Sensitivity of the wheel–rail contact interactions and Dang Van Fatigue Index in the rail with respect to irregularities of the track geometry
- (2018) Alfonso M. Panunzio et al. VEHICLE SYSTEM DYNAMICS
- A Big Data Analysis Approach for Rail Failure Risk Assessment
- (2017) Ali Jamshidi et al. RISK ANALYSIS
- Using multiple adaptive regression to address the impact of track geometry on development of rail defects
- (2016) Allan M. Zarembski et al. CONSTRUCTION AND BUILDING MATERIALS
- Estimation study of structure crack propagation under random load based on multiple factors correction
- (2016) Lin Zhu et al. Journal of the Brazilian Society of Mechanical Sciences and Engineering
- Multi-scale defect interactions in high-rate brittle material failure. Part I: Model formulation and application to ALON
- (2016) Andrew L. Tonge et al. JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
- A survey of wheel–rail contact models for rail vehicles
- (2016) Sajjad Z. Meymand et al. VEHICLE SYSTEM DYNAMICS
- A Probabilistic Physics-of-Failure Approach to Prediction of Steam Generator Tube Rupture Frequency
- (2015) Kaushik Chatterjee et al. NUCLEAR SCIENCE AND ENGINEERING
- Optimizing the Alignment of Inspection Data from Track Geometry Cars
- (2014) Peng Xu et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Probabilistic modeling of damage accumulation for time-dependent fatigue reliability analysis of railway axle steels
- (2013) Shun-Peng Zhu et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT
- Approximate Bayesian Computation
- (2013) Mikael Sunnåker et al. PLoS Computational Biology
- Approximate Bayesian Computation (ABC) in practice
- (2010) Katalin Csilléry et al. TRENDS IN ECOLOGY & EVOLUTION
- Assessment of uncertainties in life prediction of fatigue crack initiation and propagation in welded rails
- (2009) B. Lennart Josefson et al. INTERNATIONAL JOURNAL OF FATIGUE
- Development of track condition assessment model based on visual inspection
- (2009) J. M. Sadeghi et al. Structure and Infrastructure Engineering
- A review of loading conditions for railway track structures due to train and track vertical interaction
- (2007) Alex M. Remennikov et al. Structural Control & Health Monitoring
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now