ORCID Profile
0000-0003-0148-9779
Current Organisation
Luleå University of Technology
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Civil Engineering | Civil Geotechnical Engineering | Geomechanics and Resources Geotechnical Engineering |
Primary Mining and Extraction of Mineral Resources not elsewhere classified | Mining and Extraction of Energy Resources not elsewhere classified | Civil Construction Design
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: Elsevier BV
Date: 10-2019
Publisher: Springer Science and Business Media LLC
Date: 13-02-2020
Publisher: Elsevier BV
Date: 07-2020
Publisher: Elsevier BV
Date: 10-2020
Publisher: MDPI AG
Date: 06-11-2021
DOI: 10.3390/SU132112247
Abstract: Ballasted tracks are common in the railway system as a means of providing the necessary support for the sleepers and the rails. To keep them operational, t ing and other maintenance actions are performed based on track geometry measurements. Ballast particle rearrangement, which is caused by train load, is one of the most important factors leading to track degradation. As a result, when planning maintenance, it is vital to predict the behaviour of the ballast under cyclic loading. Since ballast is a granular matter with a nonlinear and discontinuous mechanical behaviour, the discrete element method (DEM) was used in this paper to model the ballast particle rearrangement under cyclic loading. We studied the performance of linear and nonlinear models in simulating the settlement of the sleeper, the lateral deformation of the ballast shoulder and the porosity changes under the sleeper. The models were evaluated based on their ability to mimic the ballast degradation pattern in vertical and lateral direction. The linear contact model and the hysteretic contact model were used in the simulations, and the effect of the friction coefficient and different d ing models on the simulations was assessed. An outcome of this study was that a nonlinear model was proposed in which both the linear and the hysteretic contact models are combined. The simulation of the sleeper settlement and the changes in the porosity under the sleeper improved in the proposed nonlinear model, while the computation time required for the proposed model decreased compared to that required for the linear model.
Publisher: American Society of Civil Engineers (ASCE)
Date: 12-2018
Publisher: Mechanical Engineering Faculty in Slavonski Brod
Date: 10-2018
Publisher: American Society of Civil Engineers
Date: 25-02-2013
Publisher: Elsevier BV
Date: 2021
Publisher: American Society of Civil Engineers
Date: 25-02-2013
Publisher: MDPI AG
Date: 19-08-2022
DOI: 10.3390/SU141610330
Abstract: As a kind of non-coal pillar roadway support technique, gob-side entry retaining is of great significance to improve the production efficiency of a fully mechanized working face. However, the construction of the roadway is often subject to the surrounding rock conditions, the application is mainly concentrated in the nearly horizontal and gently inclined coal seam conditions, and the application in the steeply inclined coal seam conditions is relatively less. This paper is based on the gob-side entry retaining roadway construction of the 58# upper right 3# working face in the fifth district of Xinqiang Coal Mine, and describes the investigation in which we measured the advanced abutment stress, mining stress, and roof stress and analyzed the moving rule of roof. On this basis, in this work, we determined the filling parameters and process and investigated the filling effect from the perspective of the deformation of the filling body and the surrounding rock. The results show that the influence range of the advanced abutment stress in the working face is about 20~25 m, the stress in the upper part is intense, and stress in the middle and lower parts are relaxed. The setting load, the cycle-end resistance, and the time-weighted mean resistance at the upper end of working face along the direction of length are the largest, followed by the middle part, and the lower end is the minimum. When exploiting the steep inclined coal seam, the upper part of the working face is more active than the lower part, and the damaging range of overlaying strata is mainly in the upper part of the goaf. With this research, we established the filling mining process in steeply inclined coal seams and determined the relevant parameters. The gangue cement mortar filling can ensure the deformation of the filling body, the surrounding rock of the roadway is small in the process of roadway retention, and the stress of the filling body is also small, which ensure the successful retention of the roadway. This study verifies the possibility of repair-less exploitation and provides a reference for the popularization and application of the gob-side entry retaining technique in steep inclined coal seam.
Publisher: Elsevier BV
Date: 03-2020
Publisher: Springer Science and Business Media LLC
Date: 20-02-2020
Publisher: Elsevier BV
Date: 08-2019
Publisher: IOP Publishing
Date: 04-2021
DOI: 10.1088/1755-1315/710/1/012024
Abstract: Slope instability and landslides can be catastrophic events leading to loss of lives and properties. To prevent and assess the risks of slope failures, it is often desired that the dynamic process of the slope failure can be simulated, which is difficult with the classic Finite Element Method (FEM). In this study, the smoothed particle finite element method is developed based on the popular and efficient FEM. A numerical ex le with a slope model is employed to demonstrate the capacity of the proposed approach. An elastoplastic material model based on the Mohr–Coulomb yield criterion is used. The run out distance and failure mass is recorded which paves a way of being able to better quantify slope failure consequence and risk.
Publisher: Elsevier BV
Date: 07-2020
Publisher: Elsevier BV
Date: 08-2020
Publisher: Elsevier BV
Date: 04-2020
Publisher: Elsevier BV
Date: 05-2021
Publisher: Springer Science and Business Media LLC
Date: 16-02-2016
Publisher: Elsevier BV
Date: 03-2021
Publisher: Elsevier BV
Date: 02-2022
Publisher: Wiley
Date: 11-11-2019
DOI: 10.1002/ESE3.542
Publisher: Elsevier BV
Date: 03-2020
Publisher: Wiley
Date: 05-08-2019
DOI: 10.1002/NME.6164
Publisher: Wiley
Date: 08-01-2019
DOI: 10.1002/NME.6006
Publisher: American Chemical Society (ACS)
Date: 18-12-2019
Abstract: A biomimetic approach to total synthesis can offer several benefits, including the development of cascade reactions for the rapid generation of molecular complexity, and guidance in the structure revision of old natural products and the anticipation of new ones. Herein, we describe how a biomimetic synthesis of bruceol, a pentacyclic meroterpenoid, led to the anticipation, isolation, and synthesis of isobruceol. The key step in the synthesis of both bruceol and isobruceol was an intramolecular hetero-Diels-Alder reaction of an
Publisher: Wiley
Date: 20-06-2020
DOI: 10.1002/NAG.3110
Publisher: Wiley
Date: 21-06-2021
DOI: 10.1002/NAG.3252
Abstract: To enable assess slope stability problems efficiently, various machine learning algorithms have been proposed recently. However, these developments are restricted to two‐dimensional slope stability analyses (plane strain assumption), although the two‐dimensional results can be very conservative. In this study, artificial neural networks are adopted and trained to predict three‐dimensional slope stability and a program, SlopeLab has been developed with a graphical user interface. To reduce the number of variables, groups of dimensionless parameters to express stability of slopes in classic stability charts are adopted to construct the neural network architecture. The model has been trained with a dataset from slope stability charts for fully cohesive and cohesive‐frictional soils. Furthermore, the impact of concave plan curvature on slope stability that is usually found by excavation in practice is investigated by introducing a dimensionless parameter, relative curvature radius. Slope stability analyses have been conducted with numerical calculations and the artificial neural networks are trained with dimensionless data. The performance of the trained artificial neural networks has been evaluated with the correlation coefficient ( R ) and root mean square error ( RMSE ). High accuracy has been found in all the trained models in which R 0.999 and RMSE 0.15. Most importantly, the proposed program can help engineers to estimate 3D effects of a slope quickly from the ratio of the factors of safety, FS3D/FS2D . When FS3D/FS2D is large (such as larger than 1.2), a 3D numerical modelling on slope stability analyses that can consider complex 3D geometry and boundary condition is advised.
Publisher: Springer Science and Business Media LLC
Date: 09-08-2017
Publisher: Springer Science and Business Media LLC
Date: 27-09-2022
Publisher: Springer Science and Business Media LLC
Date: 21-05-2014
Start Date: 05-2022
End Date: 05-2025
Amount: $453,000.00
Funder: Australian Research Council
View Funded Activity