Results 141 to 150 of about 9,609 (303)
DQ thermal buckling analysis of embedded curved carbon nanotubes based on nonlocal elasticity theory
To investigate the thermal buckling of curved carbon nanotubes (CCNTs) embedded in an elastic medium, nonlocal elasticity theory is employed in combination with the theory of thin curved beams.
AliReza Setoodeh +2 more
doaj +1 more source
Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials. [PDF]
Ly HB +7 more
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
Reinforced concrete columns (RCCs) are critical load-bearing elements in structural systems, where stability is often governed by buckling, particularly in slender members subjected to axial compression.
Rajib Karmaker +2 more
doaj +1 more source
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 +8 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
Liquid Jetting‐Based Miniature Robotic Navigation in Confined Fluidic Spaces
We introduce a new class of liquid‐jetting‐based miniature robots (JetBots) ranging in size from mm‐to‐cm, featuring a unified approach in design, fabrication, and actuation. They demonstrate fast locomotion (30.3 cm/s), rapid steering (648.8°/s), and diverse functions, such as puncturing soft materials and unlimited cargo sampling and delivery, paving
Debasish Roy, Tianlu Wang
wiley +1 more source
An experimental investigation of critical buckling load of pipe built-up columns
Built-up columns are used as Eisnibers of very important structure like offshore platforas, power transmission towers, transmission and reception towers of radio and television, etc.
Patel, Atul K.
core

