Results 41 to 50 of about 10,294 (305)

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann   +8 more
wiley   +1 more source

Molecular Dynamics Studies of Shape Memory Polymers: From Bead–Spring Models to Atomistic Simulations

open access: yesAdvanced Engineering Materials, EarlyView.
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley   +1 more source

On the prediction of non‐linear creep strains

open access: yesJournal of Civil Engineering and Management, 2010
In the short term, the Euorocode‐based techniques will be implemented as the main design specifications for structural engineers from the member‐states of the European Union instead of the national standards.
Robertas Balevičius   +1 more
doaj  

Research Progress in Environmental Response of Fiber Concrete and Its Functional Mechanisms

open access: yesAdvances in Materials Science and Engineering, 2022
Smart fiber reinforced concretes (FRC) are good in intelligent environmental response. With the smart FRC being used in buildings such as bridges and tunnels, the real-time online distributed monitoring of concrete state can be realized.
Yanxuan Ma   +7 more
doaj   +1 more source

Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications [PDF]

open access: yes, 2021
Machine learning is one of the key pillars of industry 4.0 that has enabled rapid technological advancement through establishing complex connections among heterogeneous and highly complex engineering data automatically. Once the machine learning model is
Fan , W.   +6 more
core   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

Study of concrete strength by non-destructive and destructive methods

open access: yesДороги і мости
Introduction. As a result of the military aggression of the Russian Federation against Ukraine, there is an urgent need to restore damaged and destroyed structures.
Bohdan Zelenskyi   +3 more
doaj   +1 more source

Designing Polymer Nanocomposites for X‐Ray Shielding: Mechanisms, Architectures, and Scalable Processing

open access: yesAdvanced Engineering Materials, EarlyView.
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele   +2 more
wiley   +1 more source

Boosting Durability and Sustainability in Reinforced Concrete Bridges Through the Optimization of the Concrete Cover

open access: yesDarnios Aplinkos Vystymas
Transportation systems play a pivotal role in the economic progress of communities. Within these systems, bridges are crucial for linking regions, facilitating the crossing of obstacles such as rivers and valleys.
José C. Almeida
doaj   +1 more source

A procedure to derive partial safety factors in textile-reinforced concrete members

open access: yesActa Polytechnica CTU Proceedings, 2022
In the last decades, modern technological and research developments of textile-reinforced concrete have led to extensive applications in building and civil engineering structures all over the world. Examples of textile-reinforced concrete can be found in
Jan Philip Schulze-Ardey   +3 more
doaj   +1 more source

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