Results 61 to 70 of about 19,751 (206)
Bioinspired Morphology‐Decoupled Soft Gripper with Enhanced Bidirectional Grasping Capability
Inspired by biological predation, a novel gripper decouples cross‐modal grasping via dual morphological configurations. Synergistically integrating hybrid rigid and soft coupled fingers with a metamaterial palm, the system performs active compliant grasping for static objects and passive cage capture for dynamic targets.
Yedong Huang +4 more
wiley +1 more source
A contact problem aplication for the local behaviour of soil pile interaction [PDF]
In geotechnical engineering, the main parameter for the performance of structures such as reinforced walls or deep foundations is often the shaft bearing capacity.
Baeßler, Matthias +4 more
core
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
Modified Pyke's hysteretic model considering damping ratio
The damping ratio is a dynamic soil property that indicates the capacity of energy dissipation under cyclic loadings, and it plays an important role in dynamic response analysis of sites and soil-structure systems.
LIU Fang-cheng 1, YANG Jun 2, WU Meng-tao 1,3
doaj +1 more source
LCS Tool : A Computational Platform for Lagrangian Coherent Structures [PDF]
We give an algorithmic introduction to Lagrangian coherent structures (LCSs) using a newly developed computational engine, LCS Tool. LCSs are most repelling, attracting and shearing material lines that form the centerpieces of observed tracer patterns in
Haller, G., Huhn, F., Onu, K.
core +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
A simple permanent deformation model of rockfill materials
Existing experimental results have shown that using a semi-log linear relationship between the permanent volumetric strain and cyclic number underestimates the volumetric deformation of rockfill materials with a large cyclic number, and that the error ...
De-gao Zou +4 more
doaj +1 more source
Data‐Driven Modeling of Forces Exerted by Pneumatic Actuators for a Pediatric Exosuit
This work presents the experimental analysis and data‐driven modeling of the interaction forces between soft pneumatic actuators designed to assist upper‐extremity motion in a pediatric exosuit and an engineered test rig, across different experimental conditions: (A) force profiling of shoulder actuators, with varying actuator anchoring points and ...
Mehrnoosh Ayazi +4 more
wiley +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
The equivalent radius $$\:{R}_{eq}$$ has been used for calculation of strain in Resonant Column (RC) testing. Present calculation methods for $$\:{R}_{eq}$$ are not adequate since they are not precise over a wide range of strain.
Tien Hue Nguyen, Taebong Ahn, Yujin Lim
doaj +1 more source

