Article
Environmental Sciences
Hao Shi, Jiahe Fan, Yupei Wang, Liang Chen
Summary: This study proposes a land cover classification method for high-resolution remote sensing images that combines spatially adapting contextual cues and dual attention mechanism, improving the accuracy and performance of fine segmentation for object boundary pixels.
Article
Mechanics
Ali Cheloee Darabi, Javad Kadkhodapour, Ali Pourkamali Anaraki, Mohammadreza Khoshbin, Amir Alaie, Siegfried Schmauder
Summary: In this paper, the fracture behavior and micro-damage evolution in DP600 and DP980 steels were investigated using experimental and numerical methods. The study found that the damage initiation mechanism in DP steels is dependent on the size of ferrite phases, while damage occurs through void formation, initiation of micro-cracks, and the propagation and coalescence of these micro-cracks. The proposed micromechanical FE model can accurately predict the same damage mechanisms as the in-situ tensile test.
ENGINEERING FRACTURE MECHANICS
(2021)
Article
Environmental Sciences
Eray Sevgen, Saygin Abdikan
Summary: Automatic point cloud classification (PCC) is a challenging task in large-scale urban point clouds. This study utilizes a traditional machine learning framework with neighborhood definition, multi-scale feature extraction, and classification steps. The framework adopts fast feature calculation with multi-scale radius neighborhood and a state-of-the-art GBM classifier, LightGBM. Results show that the framework outperforms traditional machine learning models and competes with DL-based methods.
Article
Environmental Sciences
Joon Jin Song, Melissa Innerst, Kyuhee Shin, Bo-Young Ye, Minho Kim, Daejin Yeom, GyuWon Lee
Summary: This paper develops an analytical framework for efficient precipitation area estimation using S-band radar measurements, comparing statistical and machine learning classification methods to achieve better performance. Machine-learning-based spatial classification methods are found to accurately estimate precipitation area in the study region.
Article
Metallurgy & Metallurgical Engineering
Jiaqiao Zhang, Shihao Li, Yan Yan, Zhonghua Ni, Hongjun Ni
Summary: A novel dual-stream neural network is proposed for surface defect classification, which generates abundant similar images for pretraining to enhance accuracy and classifies real defects using transfer learning. In addition, the convolutional neural network can improve the quality of generated defect images.
STEEL RESEARCH INTERNATIONAL
(2022)
Article
Computer Science, Artificial Intelligence
Jibing Peng, Yaohua Yi, Changhui Yu, Aiguo Yin
Summary: This paper proposes a dual-branch pyramid network (DBPNet) for document super-resolution by considering the texture difference between the text region and the image region. Experimental results demonstrate that our method outperforms several state-of-the-art methods in several aspects.
PATTERN RECOGNITION LETTERS
(2023)
Article
Materials Science, Multidisciplinary
Alistair Speidel, Dongdong Xu, Ivan Bisterov, Jonathon Mitchell-Smith, Adam T. Clare
Summary: The electrochemical slot jet under ambient conditions can rapidly etch large surface areas for EBSD measurements, providing a cost and time-effective alternative to electron beam-based analysis methods.
MATERIALS & DESIGN
(2021)
Article
Biochemical Research Methods
Bin Yang, Merlin Lange, Alfred Millett-Sikking, Xiang Zhao, Jordao Bragantini, Shruthi VijayKumar, Mason Kamb, Rafael Gomez-Sjoberg, Ahmet Can Solak, Wanpeng Wang, Hirofumi Kobayashi, Matthew N. McCarroll, Lachlan W. Whitehead, Reto P. Fiolka, Thomas B. Kornberg, Andrew G. York, Loic A. Royer
Summary: The DaXi single-objective light-sheet microscope is capable of fast, high-quality imaging of large volumes, with advanced features such as remote focusing, fast volumetric imaging, and multi-view imaging. It achieves high resolution within the imaging volume and can image multiple samples simultaneously, demonstrating outstanding speed, resolution, and versatility.
Article
Engineering, Electrical & Electronic
Hao Chen, Xuanyu Hu, Philipp Glaser, Haifeng Xiao, Zhen Ye, Hanyue Zhang, Xiaohua Tong, Juergen Oberst
Summary: In this study, a deep learning-based method is proposed to reconstruct high-resolution digital terrain models (DTMs) using images from the Lunar Reconnaissance Orbiter (LRO). The method is applied to adjacent images to demonstrate the mosaicking of a large-area DTM. The method is robust and capable of dealing with images acquired under varying illumination conditions, as shown by its application to the CE-3 and CE-4 landing sites.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Chemistry, Analytical
Federica Angeletti, Paolo Iannelli, Paolo Gasbarri, Massimo Panella, Antonello Rosato
Summary: This paper proposes a deep neural network to detect failures and investigate sensor sensitivity for damage classification in an orbiting satellite. The network utilizes time series data acquired by a network of accelerometers on the satellite to simulate the satellite's attitude behavior. The deep learning framework accurately detects failures in critical areas of the structure while also exploring the possibilities of studying geometric properties and sensor distribution.
Article
Computer Science, Information Systems
Ozgun Akcay, Ahmet Cumhur Kinaci, Emin Ozgur Avsar, Umut Aydar
Summary: In geospatial applications, automatic detection and classification of earth objects are crucial. This study proposes a new dual-stream architecture based on DeepLabV3+ to improve semantic segmentation accuracy. The use of data augmentation and Tversky loss function further enhances overall accuracy. The results demonstrate the potential of enhancing traditional semantic segmentation networks and the contribution of geospatial data as the second stream.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Honghu Chu, Pang-jo Chun
Summary: This study proposes a novel high-resolution crack segmentation framework (HRCSF) for accurately segmenting high-resolution crack images. By embedding the strip pooling operation in the feature extraction network and employing cascaded operations for global and local optimization, better representation of crack pixels from complex backgrounds is achieved. The practicality of HRCSF in real bridge inspection is demonstrated, showing the usefulness of high-resolution crack image segmentation.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Engineering, Geological
M. Cignetti, D. Godone, D. Notti, L. Lanteri, D. Giordan
Summary: This study investigates the correlation between landslide velocity and building damage and focuses on the effects of deep-seated gravitational slope deformation (DsGSD) displacement. By using multi-temporal InSAR data and ground-based monitoring, the study obtains a 26-year displacement time series and finds that the degree of building damage is influenced by factors such as building material, maintenance, position on DsGSD, depth of movement, secondary process, and velocity range variability. The findings highlight the need for in-depth studies that integrate velocity data to assess the impact of complex phenomena on anthropic structures and inform risk assessment and land use planning.
Article
Computer Science, Information Systems
Hao Li, Jinghui Qin, Zhijing Yang, Pengxu Wei, Jinshan Pan, Liang Lin, Yukai Shi
Summary: This paper discusses the problem of real-world image super-resolution and the shortcomings of existing methods, and proposes a method called RWSR-EDL to address the feature diversity between perception and L1, and optimize the training time using a noise-guidance data collection strategy. The experiments show that RWSR-EDL performs better than existing methods on four in-the-wild image super-resolution datasets.
IEEE TRANSACTIONS ON MULTIMEDIA
(2023)
Article
Engineering, Electrical & Electronic
Xinglong Feng, Xianwen Gao, Ling Luo
Summary: This paper proposes a new dataset XLData-CLS for detecting surface defects in strip steel, and achieves high classification accuracy by improving the feature extraction layer of the model for high-resolution images.
JOURNAL OF ELECTRONIC IMAGING
(2022)
Article
Materials Science, Multidisciplinary
M. Freund, D. Andre, P. L. Sun, C. F. Kusche, S. Sandloebes-Haut, H. Springer, S. Korte-Kerzel
Summary: The room temperature plasticity of the cubic C15 CaAl2 Laves phase was studied using nanomechanical testing and electron microscopy. Slip on {111} and {112} planes was found to be most favorable for all crystallographic orientations, while cracks predominantly occurred on {112} planes. The determined critical resolved shear stresses for {111}<11 0 > and {112}<11 0 > slip were 0.99 +/- 0.03 GPa and 0.97 +/- 0.07 GPa, respectively.
MATERIALS & DESIGN
(2023)
Article
Materials Science, Multidisciplinary
Mattis Seehaus, Sandra Korte-Kerzel, Stefanie Sandloebes-Haut
Summary: The effect of silicon on the microstructure and carbon distribution in martensitic steels is investigated in this study. It is found that silicon forms a sigmoidal distribution at the phase boundary, acting as a barrier for carbon segregation. The addition of silicon inhibits carbide formation and reduces carbon partitioning into the austenite phase.
MATERIALS & DESIGN
(2023)
Article
Nanoscience & Nanotechnology
Risheng Pei, Zhuocheng Xie, Sangbong Yi, Sandra Korte-Kerzel, Julien Guenole, Talal Al-Samman
Summary: Solute segregation at grain boundaries in magnesium alloys with multiple substitutional elements has a strong impact on various material characteristics. This study investigates the compositional inhomogeneity of six different grain boundaries using experimental and simulation techniques. The results reveal that the solute concentration of Nd in Mg varies between 2 and 5 at.%, and this variation is observed for different grain boundary orientations and within the grain boundary plane. Correlated atomistic simulations suggest that this inhomogeneous segregation behavior is caused by local atomic rearrangements within the grain boundaries.
SCRIPTA MATERIALIA
(2023)
Article
Materials Science, Multidisciplinary
Wassilios J. Delis, Lukas Berners, Sandra Korte-Kerzel, Stefanie Sandloebes-Haut
Summary: Compared to pure Mg, lean alloyed Mg-Al-Ca alloys exhibit weakened basal-type texture intensities and increased room-temperature ductility. In this study, the combined effects of Al and Ca on texture evolution were investigated by subjecting two binary and seven ternary Mg-Al-Ca alloys to cold rolling, with texture measurement after each rolling step. The results showed that the addition of Ca weakens the basal-type texture of Mg, while the addition of Al strengthens it compared to the samples containing Ca. The joint effect of Al and Ca can lead to a steady-state basal texture intensity for specific alloy compositions. The solubility limit of Ca in Mg is expected to influence this behavior. Mechanical properties obtained by compression testing exhibited high degrees of deformation, ranging from 15-25%.
Article
Materials Science, Multidisciplinary
Konstantin D. Molodov, Talal Al-Samman, Dmitri A. Molodov
Summary: This study provides an overview of the mechanical response and microstructure evolution of pure magnesium single crystals under plane strain compression at room temperature. The deformation behavior varies depending on the crystal orientations, with different activation of slip and twinning mechanisms. The presence of high angle grain boundaries and certain twin boundaries is crucial for the activation of contraction twinning. Two-stage work hardening is observed in crystals aligned for basal slip, with the second stage attributed to microstructural changes.
Article
Crystallography
Mattis Seehaus, Risheng Pei, Sandra Korte-Kerzel, Stefanie Sandloebes-Haut
Summary: The determination of orientation relationships in dual or multi-phase materials is crucial for designing materials with specific properties in the field of interface engineering. This study developed a code for automated and statistical analysis of orientation relationships in electron backscatter diffraction data. The code was applied to Fe-Ni-(Si)-C alloys with lenticular martensite and retained austenite, and it successfully identified the Greninger-Troiano orientation relationship. The code proved to be feasible for statistically reliable investigation of the orientation relationship between retained austenite and related martensite variants.
Article
Materials Science, Multidisciplinary
Zhuocheng Xie, Dimitri Chauraud, Achraf Atila, Erik Bitzek, Sandra Korte-Kerzel, Julien Guenole
Summary: Using atomistic simulations, this study investigates the atomic-scale mechanisms of motion of zonal dislocations in Laves phases. Two types of synchro-Shockley dislocations with different properties are identified, and it is demonstrated that the nucleation and propagation of kink pairs are energetically favorable for their motion. The roles of vacancy hopping, interstitial shuffling, and nonsequential atomic shuffling are also investigated, providing insights into the plastic deformation induced by zonal dislocations and related phases.
PHYSICAL REVIEW MATERIALS
(2023)
Article
Metallurgy & Metallurgical Engineering
Kevin Bissa, Talal Al-Samman, Dmitri A. Molodov
Summary: This study investigates the deformation behavior of Mg bicrystals and reveals that grain boundaries can change their structure and geometry to accommodate lattice rotation of adjoining crystallites. The systematic investigation of the non-uniform deformation zones near the grain boundary clarifies the presence of extension twins as an additional deformation mechanism.
JOURNAL OF MAGNESIUM AND ALLOYS
(2023)
Article
Materials Science, Multidisciplinary
N. Leuning, M. Heller, M. Jaeger, S. Korte-Kerzel, K. Hameyer
Summary: This paper presents a miniaturized Single Sheet Tester for characterizing industrial steel sheets and limited size single, bi- and oligocrystals. The measurement of global magnetic properties is coupled with microstructural analysis methods to investigate micro scale magnetic effects. A correction function is introduced to allow quantitative comparisons between differently sized Single Sheet Testers.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Maximilian A. Wollenweber, Setareh Medghalchi, Luiz R. Guimaraes, Nicole Lohrey, Carl F. Kusche, Ulrich Kerzel, Talal Al-Samman, Sandra Korte-Kerzel
Summary: Damage behavior of DP800 steel under combinations of tensile and bending loads was characterized using machine learning, finite element modeling, and nanoindentation. The study revealed a strong connection between loading direction and damage formation in the dual-phase steel.
MATERIALS & DESIGN
(2023)
Article
Nanoscience & Nanotechnology
Zhuocheng Xie, Dimitri Chauraud, Achraf Atila, Erik Bitzek, Sandra Korte-Kerzel, Julien Guenole
Summary: Synchro-Shockley dislocations, as zonal dislocation, play a crucial role in the plasticity of Laves phases at high temperatures. The motion of these dislocations involves localized transition events, and their activation volumes contribute to the temperature and strain rate sensitivity of the Peierls stress. However, the thermally activated behavior of synchro-Shockley dislocation motion is not well understood. This study investigates the transition mechanisms of these dislocations at different shear and normal strain levels, and reveals that the motion of synchro-Shockley dislocations is sensitive to shear, but requires thermal assistance for shear-insensitive events, indicating their inhibition at low temperatures.
SCRIPTA MATERIALIA
(2023)
Article
Metallurgy & Metallurgical Engineering
Risheng Pei, Yujun Zhao, Muhammad Zubair, Sangbong Yi, Talal Al-Samman
Summary: The critical properties of metallic materials depend on the microstructure and grain size distribution. The segregation of solute atoms at grain boundaries affects the grain growth during annealing. The characteristics of grain growth in an annealed magnesium alloy were investigated using experimental and modeling techniques, revealing the varying importance of different driving forces and the dominant role of solute drag in microstructure development.
JOURNAL OF MAGNESIUM AND ALLOYS
(2023)
Article
Engineering, Industrial
Maximilian A. Wollenweber, Carl F. Kusche, Talal Al-Samman, Sandra Korte-Kerzel
Summary: Manganese sulphide inclusions are commonly found in steels and can cause damage in the form of voids during cold forming. This study aims to analyze the damage at multiple scales and identifies cracking as the main damage mechanism during tensile deformation parallel to the length of inclusions. By focusing on different inclusions, the study shows that the position of inclusions in the microstructure influences the resulting damage evolution.
ADVANCES IN INDUSTRIAL AND MANUFACTURING ENGINEERING
(2023)
Article
Metallurgy & Metallurgical Engineering
Sang Kyu Woo, Risheng Pei, Talal Al-Samman, Dietmar Letzig, Sangbong Yi
Summary: The plastic instability, known as the Portevin-Le-Chatelier (PLC) effect, is a phenomenon of unstable plastic flow during tensile tests of structural materials. It has a significant impact on various properties, resulting in unexpected vulnerabilities in the service environment. The study aims to compare the significance of RE and Ca addition in the occurrence of plastic instability and analyze the PLC characteristics according to alloying elements and deformation conditions. By analyzing the microstructure and mechanical properties of Mg-Mn binary and Ca or Nd-containing Mg-Mn-based ternary alloys during deformation, the micromechanical mechanisms of the PLC phenomenon were identified.
JOURNAL OF MAGNESIUM AND ALLOYS
(2023)