Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications
Abstract Machine learning is one of the key pillars of industry 4.0 that has enabled rapid
technological advancement through establishing complex connections among …
technological advancement through establishing complex connections among …
Geometric design classification of kirigami-inspired metastructures and metamaterials
In recent years, kirigami–the ancient art of paper-cutting–has been widely studied by
scientists and engineers in various fields such as structural mechanics, materials, optics …
scientists and engineers in various fields such as structural mechanics, materials, optics …
Multi-stability of the hexagonal origami hypar based on group theory and symmetry breaking
The origami hyperbolic paraboloid, or the hypar, is widely known for its characteristic non-
zero Gaussian curvature and multi-stable states. Previous investigations have mainly …
zero Gaussian curvature and multi-stable states. Previous investigations have mainly …
Structural symmetry recognition in planar structures using convolutional neural networks
In both natural and man-made structures, symmetry provides a range of desirable properties
such as uniform distributions of internal forces, concise transmission paths of forces, as well …
such as uniform distributions of internal forces, concise transmission paths of forces, as well …
Assigning mountain-valley fold lines of flat-foldable origami patterns based on graph theory and mixed-integer linear programming
Traditional origami design is generally based on designers' artistic intuition and skills,
mathematical calculations, and experimentations, which can involve challenges for crease …
mathematical calculations, and experimentations, which can involve challenges for crease …
Intrinsic non-flat-foldability of two-tile DDC surfaces composed of glide-reflected irregular quadrilaterals
Functional origami tessellations have certain geometric or physical properties-such as flat-
foldability and rigid-foldability-which make them of particular interest for a broad range of …
foldability and rigid-foldability-which make them of particular interest for a broad range of …
CNC machine-bearing fault detection based on convolutional neural network using vibration and acoustic signal
Purpose To detect bearing faults in CNC machine tools, this study proposes an intelligent
vibration-based fault diagnosis approach. Flexible manufacturing systems (FMS) make …
vibration-based fault diagnosis approach. Flexible manufacturing systems (FMS) make …
Modeling and free vibration analysis of variable stiffness system for sandwich conical shell structures with variable thickness
ZQ Wang, SW Yang, YX Hao, W Zhang… - … Journal of Structural …, 2023 - World Scientific
This paper presents modeling and free vibration analysis of variable stiffness system for the
truncated sandwich conical shell made of porous aluminum foam core with variable …
truncated sandwich conical shell made of porous aluminum foam core with variable …
An integrated geometric-graph-theoretic approach to representing origami structures and their corresponding truss frameworks
Origami has provided various interesting applications in science and engineering.
Appropriate representations and evaluation on crease patterns play an important role in …
Appropriate representations and evaluation on crease patterns play an important role in …
Hailstone-induced dynamic responses of pretensioned umbrella membrane structure
The membrane structure is a flexible structure, which is easy to vibrate or even relax under
dynamic load. Engineering accident analysis shows that the relaxation of membrane …
dynamic load. Engineering accident analysis shows that the relaxation of membrane …