Advances in Engineering Software

• Investigation of fretting wear behavior of steel wire ropes used in coal mine technology.
• 3D FE simulations using ABAQUS combining with subroutine UMESHMOTION.
• Experimental validation using data of fretted wires in the form of ...

Fretting wear is a surface damage phenomenon that occurs at contacting surfaces due to the micro relative movements of contacting surfaces. It is not easy to consider the parametric study of this phenomenon by experimental methods. For example, ...

Matrices arising from the space–time boundary element method for the heat equation are dense and are global in space and time. Thus, they require a large amount of memory which may pose a problem when accelerating the code using GPUs. In this ...

• Space–time approach to time-dependent problems as opposed to time-stepping.
• Space–time boundary element method for the heat equation.
• Matrices not stored in memory, using a matrix-free method instead.
• GPUs to accelerate ...

This paper aimed at developing a new method of estimating the impact speed of a passenger car at the moment of a crash into a W-beam road safety barrier. The determination of such a speed based on the accident outcomes is demanding, because often ...

• New method for car speed estimation at an impact with a W-beam barrier.
• Development of machine learning models for speed estimation.
• Dataset from Finite Element simulations and full-scale crash tests.
• Reconstruction of three ...

• Hybrid machine learning predicts material removal rates from PCB-polluted concrete surfaces.
• ANFIS-GAN-XGBoost model accurately predicts ablation depth for laser-based decontamination.
• Laser technology can effectively remove ...

This study presents a hybrid machine learning approach for predicting material removal rates from polychlorinated biphenyl (PCB)-polluted concrete surfaces using laser technology. An adaptive neural fuzzy inference system (ANFIS) with XGBoost and ...

• A novel approach to study uplift resistance of suction caisson in NGI-ADP soils.
• 2D finite element analysis for suction caisson.
• Failure mechanism, respective calculated tables and charts are presented.
• Machine learning ...

The paper presents a novel solution for evaluating the uplift resistance of caisson foundations in anisotropic clay using displacement finite element analysis (FEA) and artificial neural network (ANN). The commercial FEA PLAXIS code is used to ...

Predictive modeling is revolutionised by the use of artificial intelligence (AI) in this paper. AdaBoost regression, a potent algorithm for machine learning, is utilised. It excels at handling complex relationships between input and output ...

Marine predator algorithm adopts the policy of optimal encounter rate in biological interaction between predator and prey, inspired by the Lévy and Brownian motions commonly used in oceanic predators. However, the Marine predator algorithm faces ...

• In the article a new improved MPA is introduced with the addition of Taylor neighborhood search and dynamic opposition to MPA.
• Proposed method is compared with current metaheuristic optimization algorithms on the benchmark functions ...