Guoqing Jing

52663593500

Publications - 5

Modification of Concrete Railway Sleeper Mix Design, Using a Hybrid Application of Steel Fibers

Guoqing Jing Farshad Astaraki Mohammad Siahkouhi M. Movahedi Rad Sashka Uuganbayar Jun Wang

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2022-01-01

Volume: 19

Issue: 3

Page Range: 119-130

Description:

Concrete railway sleepers have been used for years without an update in production and design, to be compatible with demands for increasing train axle loads and speed. In the current research, concrete railway admixture is modified with consuming (0.5% straight-1.5% hooked), (1.5% straight-0.5% hooked) and (1% straight-1% hooked) steel fibers combinations. Three main mechanical experiments as compressive, flexural and splitting tensile strengths and fresh mortar “flowability” were performed. Results showed that the hybrid of 1% straight and 1% hooked steel fibers shows the optimal performance among other hybrid combinations. This hybrid admixture efficiently improves the compressive, flexural and splitting tensile strengths of the concrete railway sleeper mix design.

Open Access: Yes

DOI: DOI not available

Comparative Study of the Mechanical Behavior of Concrete Railway Sleeper Mix Design, using Waste Rubber and Glass Materials

Szabolcs Fischer Guoqing Jing Farshad Astaraki Mohammad Siahkouhi M. Movahedi Rad Chunchao Li

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2022-01-01

Volume: 19

Issue: 6

Page Range: 213-224

Description:

Waste rubber tires and glass powders, are hazardous materials for the environment. One of the methods to consume them, is their application in railway engineering projects. Rubber and glass materials, in this research, are provided from waste tires and glass bottles. Therefore, a modification is conducted to the concrete railway sleeper mix design, incorporated with waste rubber (R) and glass powder (GP). Three mechanical tests, including compressive, flexural and tensile splitting, have been studied on rubber and glass powder concrete specimens. Three different percentages of 5%, 10% and 15% by cement weight, for GP and by fine aggregate volume for R, are investigated herein. The results show that GP concrete has a better performance over the rubber concrete (RC), but lower than Ref. specimens. 5%GP as the best mix design, has compressive, flexural and tensile strengths of 45.4 MPa, 7.5 MPa and 5.82 MPa, respectively. Moreover, these strengths, for compressive and flexural, of 5%GP are about 24% and 6% lower than the Ref. strengths, respectively, while, tensile splitting strength is almost 14% higher than Ref. strength.

Open Access: Yes

DOI: DOI not available

Rail Defect Classification with Deep Learning Method

Guoqing Jing Weile Qiang M. Movahedi Rad Jingru Wang Shiyao Lu

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2022-01-01

Volume: 19

Issue: 6

Page Range: 225-241

Description:

The good condition of railway rails is crucial to ensuring the safe operation of the railway network. At present, the rail flaw detectors are widely used in rail flaw detection, they are typically based on the principle of ultrasonic detection. However, the rail detection results analysis process involves huge manual work and the associated labor costs, with low levels of efficiency. In order to improve the efficiency, accuracy of results analysis and also reduce the labor costs, it is necessary to employ classification of ultrasonic flaw detection B-scan image, based on an artificial intelligence algorithm. Inspired by transformer models, with excellent performance in the field of natural language processing (NLP), some deep learning models differ from traditional convolutional neural networks (CNN), gradually emerge in the field of computer image processing. In order to explore the practicality of this model in the field of computer image processing (vision), in the paper, the Vision Transformer (ViT) is employed to train with rail defect B-scan images data and produce a rail defect classification. The model accuracy is more than 90% with the highest accuracy reaching 98.92%.

Open Access: Yes

DOI: DOI not available

Effect of Geocell, on the Mechanical Behavior of Railway Embankments, Using FE Modeling

Morteza Esmaeili Guoqing Jing Guixian Liu Farshad Astaraki M. Movahedi Rad Reza Esfandiari Mehni

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2022-01-01

Volume: 19

Issue: 6

Page Range: 63-80

Description:

In nature, the mechanical properties of soils, vary from region to region and in some areas, high-strength soil resources lack is a serious difficulty that geotechnical engineers may face where constructing earthworks such as railway and road embankments is required. Although a wide range of soil improvement techniques exists to improve such soils, the effect of geocell, as an effective solution, has not yet been investigated for railway embankments, hence, the present study aims to develop a three-dimensional (3D) Finite Element (FE) model, to fill the gap. To do this, first, six, 1/20 scaled-down railway embankments, including an unreinforced and 5 reinforced ones, were constructed in the lab and their load-settlement behavior, was assessed. Second, a 3D FE model was validated by experimental results and then, using a parametric study, the effect of geocell opening size and geocell layers number, were investigated on bearing capacity and settlement of the embankments, for five various types of soil ranging from poor soils (ST1), to high strength soils (ST5). The outcomes indicated, although adding geocell layers up to 15 layers, results in reducing the exerted stress in railway embankments by a maximum of near 50%, the crest settlement is not efficiently affected. Moreover, it was found that geocell’s opening size has a negligible effect on decreasing the embankment’s settlement, while it affects the bearing capacity significantly, up to a maximum of 50%.

Open Access: Yes

DOI: DOI not available

Optimization of the Angled Guide Plate for the Vossloh W14-PK Fastener

Guoqing Jing Yunyun Tong Peyman Aela M. Movahedi Rad Wei Qi

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2022-01-01

Volume: 19

Issue: 6

Page Range: 163-182

Description:

Angled guide plates are used to transmit the forces induced by trains, from the rail seat, to the concrete sleepers. Additionally, the design of the angled guide plates, with an appropriate width, supports tilting protection. Considering the updated requirements of the ML-1 railway line, in the Islamic Republic of Pakistan, an optimization design of the angled guide plate of the Vossloh W14-PK fasteners was carried out herein. The design requirements of the angled guide plate need to meet the requirements of structural stress and protect the plates from deterioration. Given the conducted refined model of the Vossloh W14-PK fastener, it is shown that the force and deformation of the angled guide plate, in the bearing groove adjacent and the outside bolt hole area, are small. Therefore, it was preliminarily recommended that the optimization area of the angled guide plate be divided into the section I, close to the rail groove and section II, outside the bolt hole. The Finite Element Model (FEM) of angled guide plate was established, which is used to analyze the influences of length, width, depth and the number of holes, in section I and section II, on the force distribution, across the angled guide plate. The results show that the scheme of reducing the amount of material and minimizing the influence of force on the structure of the angled guide plate, is to punch three holes in section I and two holes in section II. The holes in section I/II are 20/30 mm in length, 8/8 in width, and 15/8 mm in depth, respectively. The fatigue test showed that the optimized angled guide plate, had good application effects.

Open Access: Yes

DOI: 10.12700/APH.19.6.2022.6.12