A study on evaluating supporting condition of railway track slab with impact acoustics and non-defective machine learning
Author:
Publisher
Elsevier BV
Subject
General Materials Science,Building and Construction,Civil and Structural Engineering
Reference19 articles.
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2. Criteria for repairing damages of CA mortar for prefabricated framework-type slab track;Ren;Constr. Build. Mater.,2016
3. Influence of age the detection of defects at the bonding interface in the CRTS III slab ballastless track structure via the impact-echo method;Jiang;Constr. Build. Mater.,2020
4. Detection of mortar defects in ballastless tracks of high-speed railway using transient elastic wave method, Journal of Civil;Tian;Struct. Health Monit.,2018
5. Multi-layer imaging method for void defects in ballastless track using forward ray tracing with SAFT;Li;Measurement,2021
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1. Multi-damage index-based interfacial debonding prediction for steel-concrete composite structures with percussion method;Journal of Building Engineering;2024-10
2. Improvement of impact acoustic inspection for high-speed railway track slabs using time–frequency analysis and non-defective machine learning;NDT & E International;2024-07
3. Nonlinear autoregression-based non-destructive evaluation approach for railway tracks using an ultrasonic fiber bragg grating array;Construction and Building Materials;2024-01
4. Impact acoustic inspection of interfacial debonding defects in concrete-filled steel tubes;Mechanical Systems and Signal Processing;2023-10
5. Explainable XGBoost machine learning model for prediction of ultimate load and free end slip of GFRP rod glued-in timber joints through a pull-out test under various harsh environmental conditions;Asian Journal of Civil Engineering;2023-06-22
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