Track Degradation Assessment Using Gage Restraint Measurements

Abstract

Gage restraint is an important indicator of track condition and safety. In 1999, approximately 13 percent of derailments were caused by reductions in gage restraint and the resulting widening of the track gage. Existing techniques for the measurement of gage restraint allow identification of track sections with weak lateral support. However, little has been done to investigate the change in, or weakening of, gage restraint over time as a function of track, traffic, and environmental parameters. A track degradation assessment study is under way to develop models that can be used to predict changes in gage restraint by using data obtained from the automated Gage Restraint Measurement System. The degradation models will be useful for forecasting the future condition of the track, determining the appropriate frequency and timing of track inspections, and evaluating the effectiveness of maintenance strategies. A literature review of track degradation models and previous work on gage restraint analysis is presented. The rationale for adoption of an empirical approach to gage restraint degradation modeling is explained. The processing applied to the automatically collected data and the preliminary database program developed to store the information and estimate track degradation equations are also described. The track degradation analysis and database development study currently focuses on gage restraints and track geometry parameters as measures of condition. In the future, this can be extended to include other degradation parameters for a comprehensive track performance analysis.

A Novel Description Method for Track Irregularity Evolution

“…21 System, traffic loads, environment, track structural characteristics, and developed a track degradation analysis program which can formulate a one-to-one relationship between track degradation and a contributing parameter by employing least square linear regression. 22 As the authors of ref. 22 have pointed out that in the current stage no statistically significant track degradation models or relationships can be derived by using the existing information from the track degradation database.…”

Developing an Enhanced Short-Range Railroad Track Condition Prediction Model for Optimal Maintenance Scheduling

“…Kawaguchi et al applied a double exponential smoothing method to the track geometry evolution process and formed a track deterioration model [13]. Based on a track degradation database, Alfelor et al established a one-to-one linear relationship between track deterioration and one specified contributing factor through least square method [14]. Based on a common denominator regarding track deterioration, Veit and Marschnig used an exponential model to describe track deterioration process [15].…”

A Novel Description Method for Track Irregularity Evolution

“…21 Alfelor et al have built a track degradation database storing track gauge restraints and track geometry parameters measured with Gage Restraint Measurement System, traffic loads, environment, track structural characteristics, and developed a track degradation analysis program which can formulate a one-to-one relationship between track degradation and a contributing parameter by employing least square linear regression. 22 As the authors of ref. 22 have pointed out that in the current stage no statistically significant track degradation models or relationships can be derived by using the existing information from the track degradation database.…”

“…22 As the authors of ref. 22 have pointed out that in the current stage no statistically significant track degradation models or relationships can be derived by using the existing information from the track degradation database. Chen et al at China Academy of Railway Sciences have developed an integrated factor method (IFM) which utilizes the latest track waveform measurements to predict track irregularity parameter values for every mileage points.…”