Crack Analysis of Multi-plate Intersection WeldedStructurein Port MachineryUsing Finite Element Stress Calculation andAcoustic Emission Testing

In Perú the necessity of facility projects such as gas line installation for residents has increased the demand for use of Hydraulic Hammers (HH) with Skid Steers due to the lower amount of investment needed in comparison to other packs of machinery and the versatility. The ability to interchange hydraulic hammers and buckets to complete the demolition and cleaning stages offers higher productivity than manual operations for contractors. For that reason, the virtual design software Inventor Professional was used to design a suitable adapter plate with adequate resistance and durability which has a direct impact on the structure of the hydraulic hammer and the hydraulic arm of the skid steers. Simultaneously, a basic animation was developed to explain the effect of the operation style over the hydraulic hammer and the adapter plate. Finally, for this development, the construction of an adapter plate as a fuse in the system was considered in case operators exceed the resistance capacity of the hydraulic hammer structure.

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“…The minimum safety factor was 7.92 (Fig. 7) which means that we achieve a high factor of safety with this design [19] Table 4.…”

Section: Static Analysismentioning

confidence: 82%

Structural and Modal Analysis Of Adapter Plates For Hydraulic Hammers And Skid Steers Under Real Work Condition

Villa

Vook

Villa

et al. 2022

ings

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“…Compared with contact detection techniques, such as non-destructive testing (NDT) [1] or structural health monitoring (SHM) [2], pavement crack identification with visual images via deep learning algorithms [3][4][5][6] has the advantages of not being limited by the material of object to be detected, fast speed and low cost. Thus, it has wide application prospects in routine inspection and other preventive detection or monitoring scenarios, where accurate classification and (patch-or pixel-level) segmentation can be obtained to identify the existence, topology, and even size of cracks.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Deep Learning Methods and a Transfer-Learning Semi-Supervised GAN Combined Framework for Pavement Crack Image Identification

Luo

Zhang

et al. 2022

Frontiers in Artificial Intelligence and Applications

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The pavement crack identification performance of typical models or algorithms of transfer learning (TL), encoder-decoder (ED), and generative adversarial networks (GAN), were evaluated and compared on SDNET2018 and CFD. TL mainly takes advantage of fine-tuning the architecture-optimized backbones pre-trained on large-scale data sets to achieve good classification accuracy. ED-based algorithms can take into account the fact that crack edges, patterns or texture features contribute differently to the identification. Both TL and ED rely on accurate crack ground truth (GT) annotation. GAN is compatible with other neural network architectures, thus can integrate various frameworks (e.g., TL, ED), and algorithms, but the training time is longer. In patch classification, the fine-tuned TL models can be equivalent to or even slightly better than the ED-based algorithms, and the predicting time is faster; In accurate crack location, both ED- and GAN-based algorithms can achieve pixel-level segmentation. It is expected to realize real-time automatic crack identification on a low computational power platform. Furthermore, a weakly supervised learning framework (namely, TL-SSGAN) is proposed, combining TL and semi-supervised GAN. It only needs approximately 10%–20% labeled samples of the total to achieve comparable crack classification performance to or even outperform supervised learning methods, via fine-tuned backbones and utilizing extra unlabeled samples.

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Preliminary online monitoring in cooling pipe of RSG-GAS reactor using fluids flow acoustic emission

Rokhmadi,

Sudarno,

Subhan

et al. 2024

International Conference on Nuclear Science, Technology, and Applications – Iconsta 2022

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Crack Analysis of Multi-plate Intersection WeldedStructurein Port MachineryUsing Finite Element Stress Calculation andAcoustic Emission Testing

Abstract: Abstract

Cited by 3 publications

References 5 publications

Structural and Modal Analysis Of Adapter Plates For Hydraulic Hammers And Skid Steers Under Real Work Condition

Structural and Modal Analysis Of Adapter Plates For Hydraulic Hammers And Skid Steers Under Real Work Condition

Comparison of Deep Learning Methods and a Transfer-Learning Semi-Supervised GAN Combined Framework for Pavement Crack Image Identification

Preliminary online monitoring in cooling pipe of RSG-GAS reactor using fluids flow acoustic emission

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