Results 31 to 40 of about 24,899,885 (305)

The Review of Electromagnetic Field Modeling Methods for Permanent-Magnet Linear Motors

Energies, 2022
Permanent-magnet linear motors (PMLMs) are widely used in various fields of industrial production, and the optimization design of the PMLM is increasingly attracting attention in order to improve the comprehensive performance of the motor.
Xinmei Wang, Yifei Wang, Tao Wu
doaj   +1 more source

Optimization of the section structure of container ship based on artificial bee colony algorithm and finite element strength calculation

Zhongguo Jianchuan Yanjiu, 2023
ObjectivesThe method of rewriting the element node information file to realize parametric modeling is commonly employed in existing structural optimization based on finite element (FE) strength calculation, but it remains difficult to consider variations
Wenping LUO, Weiqin LIU, Hongxu WANG, Meng YANG   +3 more
doaj   +1 more source

Discrete optimization design for cabin-skeleton coupling structure of blended-wing-body underwater glider

Zhongguo Jianchuan Yanjiu, 2021
ObjectivesThe cabin-skeleton coupling structure of a blended-wing-body underwater glider is optimized using a data-driven discrete optimization concept.MethodsFirst, a Kriging-assisted discrete global optimization algorithm (KDGO) is proposed for ...
Huachao DONG, Peng WANG, Yijin ZHANG
doaj   +1 more source

Parametric modeling and surface-specific sensitivity analysis of PV module layout on building skin using BIM

, 2020
Photovoltaic (PV) energy is a promising source of clean energy that can contribute to the development of sustainable cities and the mitigation of global warming. Conventionally, PV modules were only considered for installation on the rooftop of buildings.
N. Salimzadeh, F. Vahdatikhaki, A. Hammad   +2 more
semanticscholar   +1 more source

Equivalent simulation of mechanical characteristics for parametric modeling of bolted joint structures

Advances in Mechanical Engineering, 2017
To accurately describe mechanical characteristics in the modeling and analysis of bolted joint structure in complex mechanical system, this article investigates on the equivalent parameters of mechanical characteristics (tension and compression stiffness,
Zhi Wang, Cheng-Wei Fei, Jian-Jun Wang
doaj   +1 more source

Comparisons of Emotional Responses, Flow Experiences, and Operational Performances in Traditional Parametric Computer-Aided Design Modeling and Virtual-Reality Free-Form Modeling

Applied Sciences, 2023
Three-dimensional (3D) computer-aided design (CAD) is a vital tool for visualizing design ideas. While conventional parametric CAD modeling is commonly used, emerging virtual reality (VR) applications in 3D CAD modeling require further exploration.
Yu-Min Fang, Tzu-Lin Kao
doaj   +1 more source

A Simple and Transparent Alternative to Repeated Measures ANOVA

SAGE Open, 2015
Observation Oriented Modeling is a novel approach toward conceptualizing and analyzing data. Compared with traditional parametric statistics, Observation Oriented Modeling is more intuitive, relatively free of assumptions, and encourages researchers to ...
James W. Grice, David Philip Arthur Craig, Charles I. Abramson   +2 more
doaj   +1 more source

A Parametric Modeling Method for the Field-Circuit Coupled  Model of Synchronous Generators

Journal of Harbin University of Science and Technology, 2018
In order to solve the problem that the preprocessing of building the fieldcircuit coupled model for analyzing the internal faults of synchronous generators is timeconsuming, a parametric modeling method for the fieldcircuit coupled model is given in ...
LIU Zhi-hui, XIAO Shi-yong, SUN Xiao-bo, WANG Qing-dong, LI Hai-cheng   +4 more
doaj   +1 more source

Parametric modeling of traffic flows for predicting sustainable development of urban areas

BIO Web of Conferences
The paper presents a description of the developed model of a section of the road network in the Nizhny Novgorod Region (Russia) near the regional center. There is a lot of traffic crossing the site.
M. Logachev, G. Zhukova
semanticscholar   +1 more source

Parametric matrix models

Nature Communications
Abstract We present a general class of machine learning algorithms called parametric matrix models. In contrast with most existing machine learning models that imitate the biology of neurons, parametric matrix models use matrix equations that emulate physical systems.
Patrick Cook, Danny Jammooa, Morten Hjorth-Jensen, Daniel D. Lee, Dean Lee   +4 more
openaire   +3 more sources