Results 61 to 70 of about 8,936,346 (275)

Morphological Reconstruction for Variable Wing Leading Edge Based on the Node Curvature Vectors

Biomimetics
Precise morphology acquisition for the variable wing leading edge is essential for its bio-inspired adaptive control. Therefore, this study proposes a morphological reconstruction method for the variable wing leading edge, utilizing the node curvature ...
Jie Zeng, Qingfeng Zhu, Yueqi Zhao, Zhigang Wang, Yu Yang, Qi Wu, Jinpeng Cui   +6 more
doaj   +1 more source

High‐Entropy Alloy Interlayers Toward Advanced Joining for High‐Performance Structural Applications: Current Progress and Emerging Challenges

Advanced Engineering Materials, EarlyView.
HEA interlayers offer a versatile route for joining high‐performance structural materials. Their compositional and structural design regulates interfacial reactions, suppresses brittle IMCs, and improves metallurgical bonding. Sandwich interlayers further integrate defect healing with precipitation strengthening, enabling improved strength–ductility ...
Lin Yuan, Jiafen Song, Jinglong Li, Jiangtao Xiong, Tao Yang   +4 more
wiley   +1 more source

Improved deformation reconstruction of composite material structures based on optical fiber sensing

Scientific Reports
Due to high strength and lightweight, composite material structures have been widely used in various industries such as aerospace, automotive, civil engineering, and healthcare.
Jun Huang, Yuwei Sun, Yu Peng, Dongsheng Zhang, Ruiya Li, Sheng Yin, Zhenfeng Peng, Quanyong Huang, Quan Liu   +8 more
doaj   +1 more source

Shape Sensing in Plate Structures through Inverse Finite Element Method Enhanced by Multi-Objective Genetic Optimization of Sensor Placement and Strain Pre-Extrapolation

Sensors
The real-time reconstruction of the displacement field of a structure from a network of in situ strain sensors is commonly referred to as “shape sensing”. The inverse finite element method (iFEM) stands out as a highly effective and promising approach to
Emiliano Del Priore, Luca Lampani
doaj   +1 more source

Supporting AI Readiness Through Digital Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns, Lateef Abdul, Stephan Barth, Martin Glauer, Manuel Günther, Fabian Neuhaus, Jan‐Ole Perschewski, Thomas Bjarsch, Henrik Abel, Johannes Bosch, Niklas Meyer, Peter Hofmann, Marc Drechsler, Alexander Dyck, Dhanunjaya Kumar Nerella, Marvin Tegeler, Oleg Shchyglo, Ingo Steinbach, Timo Klecker, Henk Birkholz, Ehsan Borzabadi Farahani, Bernard Fedelich, Cetin Haftaoglu, Tarakeshwar Lakshmipathy, Elena Garcia Trelles, Christoph Schweizer, Reza Darvishi Kamachali, Lukas Koschmieder, Janin Eiken, Markus Apel, Sung‐Min Wi, Jiangdong Zhao, Andreas Fezer, Nicolas Christ, Patrick Schneider, Eldor Urinov, Veit Königer, Volker Knoblauch, Janik Harter, Thomas Seifert, Thitichai Janpheng, Florian Fuchs, Fabian Teichert, Jörg Schuster, Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann, Felix Wentzien, Heike Wittek, Benjamin Klie, Alexander Röhrs, Ludger Overmeyer, Achraf Atila, Marcel Sadowski, Leopold Talirz, Jan Janssen, Jesper R. Pedersen, Peter Beck, Tejs Vegge, Ivano E. Castelli, Wolfgang Wenzel, Tilmann Hickel, Jörg Schaarschmidt   +67 more
wiley   +1 more source

Physics-Informed Graph Neural Networks to Reconstruct Local Fields Considering Finite Strain Hyperelasticity

CoRR
We propose a physics-informed machine learning framework called P-DivGNN to reconstruct local stress fields at the micro-scale, in the context of multi-scale simulation given a periodic micro-structure mesh and mean, macro-scale, stress values. This method is based in representing a periodic micro-structure as a graph, combined with a message passing ...
Manuel Ricardo Guevara Garban, Yves Chemisky, Étienne Prulière, Michaël Clément   +3 more
openaire   +3 more sources

Non-Destructive Structural Deformation Reconstruction via Data-Driven Modal Superposition

Applied Sciences
Modal superposition enables efficient estimation of full-field structural displacements from sparse measurements, forming a keystone of structural health monitoring (SHM) in linear elastic systems.
Gabriele Liuzzo, Pierluigi Fanelli
doaj   +1 more source

Abnormal strain changes observed by a borehole strainmeter at Guza Station before the Ms7 0 Lushan earthquake

Geodesy and Geodynamics, 2013
Several days before the Ms7.0 Lushan earthquake, the YRY-4- borehole Strainmeter at Guza Station recorded prominent abnormal changes. The strain anomalies are very striking on the smooth background of several years' recording after the Wenchuan ...
Qiu Zehua, Yang Guang, Tang Lei, Guo Yanping, Zhang Baohong   +4 more
doaj   +1 more source

Microstructure‑Dependent Phase Transformations Under High‑Pressure Laser Heating in Additively Manufactured AlCrFe2Ni2

Advanced Engineering Materials, EarlyView.
Additively manufactured AlCrFe2Ni2 with contrasting BCC/B2‐dominant and lamellar FCC + BCC/B2 microstructures exhibits the same pressure‐induced BCC/B2 → HCP transformation. Under laser heating at high pressure, HCP is destabilized, and a cubic BCC/B2 + FCC assemblage is recovered, while the lower‐scan‐speed microstructure transforms at a lower ...
Raimundas Sereika, Hunter Kantelis, Yogesh K. Vohra, Shengbiao Zhang, Wuxian Yang, Wen Chen   +5 more
wiley   +1 more source

Physics-informed LSTM framework for predicting anisotropic room-temperature creep in textured Zircaloy-4

Materials & Design
This study investigates the mesoscale creep behaviour of textured Zircaloy-4 at room temperature by integrating in situ digital image correlation (DIC), crystal plasticity finite element modelling, and a physics-informed recurrent neural-network ...
Weifeng Wan, Junlong He, Xiuqi Xu, Dawei Huang, Xiaojun Yan   +4 more
doaj   +1 more source