Determination of impact fragments from particle analysis via smoothed particle hydrodynamics and k-means clustering

Sakong, Jae; Woo, Sung-Choong; Kim, Tae−Won

doi:10.1016/j.ijimpeng.2019.103387

Cited by 14 publications

(4 citation statements)

References 45 publications

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“…In modern times, researchers often turn to machine-learning techniques to improve the computational aspects of engineering applications [26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41]. The focus of this paper is to develop a computational approach that accurately models the behavior of composite metal decks when subjected to free drop weight impact loading.…”

Section: Research Goalmentioning

confidence: 99%

Strength prediction of composite metal deck slabs under free drop weight impact loading using numerical approach and data set machine learning

Emami¹,

Kabir²

2023

Scientia Iranica

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Structural systems may experience negative moments due to dynamic excitations and inertia effects.Composite metal deck slabs are typically designed to withstand positive moments and reinforced at the bottom, with minimal thermal reinforcement at the top. However, under dynamic impact loading, insufficient reinforcement at the upper part may cause these slabs to fail under negative moments. Therefore, this study investigates the performance of composite metal deck slabs under free drop weight impact loading. The research consists of two main parts: generating a data set through Finite Element simulation analysis and training machines based on the collected data. The LS-DYNA commercial software was used to analyze 165 models with three parameters: slab lengths, striker weights, and striker velocities. In the machine learning component, the FEM results were utilized to train the machines and to accurately predict the performance of these slabs. The outcomes were reported in terms of the maximum negative moment, maximum deflection, and elastic and plastic behaviour of the slab. The study revealed that at high striker velocities, the specimens experienced an ultimate internal negative moment within the range of 60 to 80 kN.m.

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Section: Research Goalmentioning

confidence: 99%

Strength prediction of composite metal deck slabs under free drop weight impact loading using numerical approach and data set machine learning

Emami¹,

Kabir²

2023

Scientia Iranica

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“…The SPH algorithm discretizes a continuum into an interactive particles, and applies speed, displacement and other physical quantities to each particle. The mechanical behavior of the overall system can be obtained by tracking the motion trail of each particle [28][29][30].…”

Section: Fertilizer Motion Simulationmentioning

confidence: 99%

Analysis of Movement Law and Influencing Factors of Hill-Drop Fertilizer Based on SPH Algorithm

Gao

Zhang

et al. 2020

Applied Sciences

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Studying the movement law and influencing factors of fertilizer in soil and controlling fertilizer distribution can improve the quality of fertilization, which is of great significance for promoting crop yield. In this paper, a 3D simulation model of the hill-drop fertilizer device and soil was established by the Smoothed Particle Hydrodynamics (SPH) algorithm, and the simulation model was modified using the Mohr–Coulomb criterion, and fertilizer movement in the soil under the disturbance of the cover was simulated and analyzed by the SPH algorithm. Orthogonal simulation experiments and the range analysis method were used to study the overall displacement and deformation of fertilizer, and the key factors affecting fertilizer movement were analyzed. After fertilization, the soil was layered with a soil sampler, and a digital image processing method was used to detect the fertilizer distribution in different soil depths; then, the fertilizer movement was inferred. The results of the field experiment showed that the trend of fertilizer movement was consistent with the results of the simulation experiment, which provides a reference for studying the movement and distribution of fertilizer in soil.

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“…A study of impact fragments due to the HVI problem using SPH was reported and showed the possibility of effectively applying the machine learning algorithm to simulate HVI problems using quantitative analysis. 20 Other works on impact problems apply the SPH for impact welding. 21 The classical SPH with the Eulerian kernel gives great potential in solving problems that still face difficulties in the mesh-based method.…”

Section: Introductionmentioning

confidence: 99%

“…The study shows that kernel gradient correction improves the effectiveness and accuracy of the SPH method for HVI problems. A study of impact fragments due to the HVI problem using SPH was reported and showed the possibility of effectively applying the machine learning algorithm to simulate HVI problems using quantitative analysis 20 . Other works on impact problems apply the SPH for impact welding 21 .…”

Section: Introductionmentioning

confidence: 99%

Contact framework for total Lagrangian smoothed particle hydrodynamics using an adaptive hybrid kernel scheme

Wiragunarsa,

Zuhal,

Dirgantara

et al. 2024

Numerical Meth Engineering

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Total Lagrangian SPH (TLSPH) offers many advantages that can overcome instability and computational time issues. However, it is not naturally applicable to problems with contact. Many problems in solid dynamics and structural analysis require contact definition. In order to use the total Lagrangian formulation, further development for the contact algorithm is required. This research proposes an algorithm to implement inter‐particle contact in TLSPH using an adaptive hybrid‐kernel scheme for the first time. A combination of the updated and total Lagrangian formulations at the contact surface is introduced, in which the kernel type change automatically when particles from a different body are detected. In kernel change from the updated to the total Lagrangian formulation, the gradient correction cannot be performed using a common correction method because different frames of reference are used. Therefore, a hybrid‐kernel correction technique is proposed to maintain the zeroth‐ and first‐order completeness. Then, the contact force is obtained from the inter‐particle force using the conservation of momentum. The proposed method does not require a user‐defined parameter that makes the application straightforward. Based on the test, the proposed method agrees well with the data available in published literature and the finite element method. Compared with the contact method in classical SPH, the proposed TLSPH shows a significant stability improvement.

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Determination of impact fragments from particle analysis via smoothed particle hydrodynamics and k-means clustering

Cited by 14 publications

References 45 publications

Strength prediction of composite metal deck slabs under free drop weight impact loading using numerical approach and data set machine learning

Strength prediction of composite metal deck slabs under free drop weight impact loading using numerical approach and data set machine learning

Analysis of Movement Law and Influencing Factors of Hill-Drop Fertilizer Based on SPH Algorithm

Contact framework for total Lagrangian smoothed particle hydrodynamics using an adaptive hybrid kernel scheme

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