Results 81 to 90 of about 2,673,893 (279)

Study on Directional Piling Deflection Behavior of Conductor Based on Finite Difference Method

Shiyou jixie
To clarify the deflection mechanism of conductor in directional piling process， the governing differential equation of the whole conductor in the directional piling process was established.
Wang Jiakang, Yang Jin, Li Shuzhan, Yan De, Yin Qishuai, Zhu Guojing   +5 more
doaj  

Causality-Aware Training of Physics-Informed Neural Networks for Solving Inverse Problems

Mathematics
Inverse Physics-Informed Neural Networks (inverse PINNs) offer a robust framework for solving inverse problems governed by partial differential equations (PDEs), particularly in scenarios with limited or noisy data. However, conventional inverse PINNs do
Jaeseung Kim, Hwijae Son
doaj   +1 more source

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Averaging of differential equations of movement for the ship on the direct course [PDF]

Researches in Mathematics and Mechanics, 2017
The possibility of applying the full averaging scheme to the ship complex control problem is considered in the article. The model of this problem was first described by V. I. Nebesnov and V. A. Plotnikov and F. Y. Kuzyushin. In the paper we considered a full averaging scheme for the problem of controlling a ship complex in the direct movement with a ...
openaire   +3 more sources

Numerical Solution of Differential Equations by Direct Taylor Expansion

Journal of Applied Mathematics and Physics, 2017
A variation of the direct Taylor expansion algorithm is suggested and applied to several linear and nonlinear differential equations of interest in physics and engineering, and the results are compared with those obtained from other algorithms. It is shown that the suggested algorithm competes strongly with other existing algorithms, both in accuracy ...
Pirooz Mohazzabi, Jennifer L. Becker
openaire   +2 more sources

Microstructure Modification of Additively Manufactured Mo–9Si–8B by Annealing and Its Effects on High‐Temperature Mechanical Properties

Advanced Engineering Materials, EarlyView.
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt, Yong Chen, Georg Hasemann, Benjamin Wahlmann, Carolin Körner, Manja Krüger   +5 more
wiley   +1 more source

Delay differential equation models for real-time dynamic substructuring [PDF]

, 2005
Real-time dynamic substructuring is a testing technique that models an entire system through the combination of an experimental test piece, representing part of the system, with a numerical model of the rest of the system.
Wagg, DJ, Wallace, MI, Neild, SA, Sieber, J, Krauskopf, B   +4 more
core  

Meta-SPINN: meta-learned basis adaptation for parametric PDEs

Machine Learning: Science and Technology
Physics-informed machine learning of parametric partial differential equation (PDE) families enables rapid prediction across varying physical conditions, yet the resulting task representations are commonly embedded in latent neural features that are ...
Vikas Dwivedi, Monica Sigovan, Bruno Sixou   +2 more
doaj   +1 more source

Direct integration of systems of linear differential and difference equations

Filomat, 2019
Traditionally the Euler method is used for solving systems of linear differential equations. The method is based on the use of eigenvalues of a system?s coefficients matrix. Another method to solve those systems is the D?Alembert integrable combination method. In this paper, we present a new method for solving systems of linear differential
Kydyraliev, Syrgak, Urdaletova, Anarkul
openaire   +2 more sources