Results 171 to 180 of about 58,445 (217)

Phase‐Change Alloys Enable Localized Reversible Stiffening and Actuation in Steerable Eversion Tip‐Growing Robots

Advanced Intelligent Systems, EarlyView.
This work presents a tip‐growing eversion robot that uses phase‐changing alloys for reversible stiffening and localized actuation, achieving 43× stiffness modulation, 15× force amplification, and segmental steering. The system enables precise navigation and force delivery in constrained, tortuous pathways.
Shamsa Al Harthy, S.M.Hadi Sadati, Shannon C. Stockdale, Radhouene Neji, Christos Bergeles   +4 more
wiley   +1 more source

Structural Behavior and Failure Characteristics of Fiber-Reinforced Polymer-Concrete Composite Beams Incorporating Glass Roving Tied GFRP Shear Connectors. [PDF]

Polymers (Basel)
Mehra AS, Singh SB, Kodur V.
europepmc   +1 more source

Multimodal Locomotion of Soft Robots

Advanced Intelligent Systems, EarlyView.
This review comprehensively surveys recent advances in multimodal locomotion within soft robotics. Typical locomotion modes are summarized and categorized. Furthermore, the underlying mechanisms enabling multimodal locomotion are discussed and classified into three primary categories: active control‐based, reconfiguration‐based, and environment ...
Zihao Yuan, Huangwei Ji, Kai Huang, Feifei Chen, Guoying Gu   +4 more
wiley   +1 more source

Optimization of the Elastic Modulus of the Filler in High-Rib Thin-Web Grid-Stiffened Panels with Bending Forming Process. [PDF]

Materials (Basel)
Nan S, Zhang X.
europepmc   +1 more source

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

Advanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov, Hanzhi Ma, Junbo Peng, Huifeng Dong, Jiangshan Zhuo, Mengke Shi, Lvting Wang, Shengchao Jiang, Ye Shi   +8 more
wiley   +1 more source

Multi-Parameter Modulation of Dirac Plasmons in Germanene via Doping and Strain: A DFT Insight. [PDF]

Materials (Basel)
Li P, Han L, Zhang L, Hui N.
europepmc   +1 more source

A case study of random field models applied to thin-walled composite cylinders in finite element analysis [PDF]

, 2013
De Groof, V., Degenhardt, Richard, Haller, H., Kling, Alexander, Oberguggenberger, M.   +4 more
core  

A Female‐Locust‐Inspired Hybrid Soft‐Stiff Robotic Digger: Mimetics and Implications for Digging Efficiency

Advanced Intelligent Systems, EarlyView.
Female desert locusts dig underground to lay their eggs. They displace soil, rather than removing it, to create a tunnel. We analyze burrowing dynamics and 3D kinematics and design a locust‐inspired hybrid soft–stiff robot that reproduces this mechanism. The results show the natural strategy minimizes energy, whereas alternative patterns raise costs up
Shai Sonnenreich, Amir Ayali, Bat‐El Pinchasik   +2 more
wiley   +1 more source

Geometrically nonlinear high-fidelity aerostructural optimization for highly flexible wings. [PDF]

Struct Multidiscipl Optim
Gray AC, Kennedy GJ, Martins JRRA.
europepmc   +1 more source