Results 241 to 250 of about 8,290,976 (301)

Study on energy evolution and fractal characteristics of sandstone with different fracture dip angles under uniaxial compression. [PDF]

Sci Rep
Tian XY, Zhao FJ, Wang WJ, Chen B, Ma YJ, Fan BJ.   +5 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Study on Characteristics of Failure and Energy Evolution of Different Moisture-Containing Soft Rocks under Cyclic Disturbance Loading. [PDF]

Materials (Basel)
Cao X, Tang X, Chen L, Wang D, Jiang Y.
europepmc   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Experimental study on the strain energy evolution mechanism of thick and hard sandstone roof in Xinjiang Mining Area. [PDF]

Heliyon
Qin D, Chang Z, Xia Z.
europepmc   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

Acoustic emission characteristics and energy evolution law of rock damage process of different pore structures under cyclic loading. [PDF]

Sci Rep
Jiang H, Dang J, Chen G, Wang X, Li K, Chen Z, Cao S, Liu J.   +7 more
europepmc   +1 more source

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Cellular evolution as the flow of energy

Progress in Biophysics and Molecular Biology, 2021
In contrast to Darwinian evolution, which is founded on the material competition between organisms, cellular epigenetic evolution focuses on cell-cell communication of data from one stage of life to another-developmentally, phylogenetically, as injury-repair - ultimately governed by the First Principles of Physiology. By merging ontogeny and phylogeny,
openaire   +2 more sources

Energy Function and Energy Evolution on Neuronal Populations

IEEE Transactions on Neural Networks, 2008
Based on the principle of energy coding, an energy function of a variety of electric potentials of a neural population in cerebral cortex is formulated. The energy function is used to describe the energy evolution of the neuronal population with time and the coupled relationship between neurons at the subthreshold and the suprathreshold states.
Rubin Wang, Zhikang Zhang, Guanrong Chen
openaire   +2 more sources