Results 41 to 50 of about 68,552 (195)

Statistical prediction of parametric roll using FORM [PDF]

Ocean Engineering, 2017
Abstract Previous research has shown that the First Order Reliability Method (FORM) can be an efficient method for estimation of outcrossing rates and extreme value statistics for stationary stochastic processes. This is so also for bifurcation type of processes like parametric roll of ships. The present paper discusses this solution procedure with a
Jensen, Jørgen Juncher, Choi, Ju-hyuck, Nielsen, Ulrik Dam   +2 more
openaire   +2 more sources

Efficient Tests of Long-Run Causation in Trivariate VAR Processes with a Rolling Window Study of the Money-Income Relationship [PDF]

This paper develops a simple sequential multiple horizon non-causation test strategy for trivariate VAR models (with one auxiliary variable). We apply the test strategy to a rolling window study of money supply and real income, with the price of oil, the
Jonathan B. Hill
core   +3 more sources

Rapid prediction of parametric roll motion for large container ships based on AHC–PSO–RF surrogate model

Zhongguo Jianchuan Yanjiu
ObjectiveTraditional numerical simulation methods based on hydrodynamics for calculating ship parametric roll encounter challenges such as high computational costs, demanding operational requirements, and limited coverage of loading conditions.
Qiang SUN, Jie TAN, Yaohua ZHOU
doaj   +1 more source

A Numerical Study on Contact Condition and Wear of Roller in Cold Rolling

Metals, 2017
An accurate determination of the contact pressure and local sliding in a cold rolling process is an essential step towards the prediction of the roller’s life due to wear damage.
Qichao Jin, Wenhu Wang, Ruisong Jiang, Louis Ngai Sum Chiu, Di Liu, Wenyi Yan   +5 more
doaj   +1 more source

Evaluating accurate and efficient sampling strategies designed to measure social behavior and brush use in drylot housed cattle.

PLoS ONE, 2023
Efficient sampling strategies expedite behavioral data collection. While multiple studies have evaluated sampling strategies for core behaviors in cattle, few have focused on social interactions.
Claudia Carolina Lozada, Rachel M Park, Courtney L Daigle   +2 more
doaj   +1 more source

DETERMINING AND VERIFYING THE GEOMETRIC CHARACTERISTICS OF HELICAL GROOVES IN THE WORM IN PLANETARY TOROIDAL DRIVES IN A MORE EFFECTIVE WAY [PDF]

Scientific Journal of Silesian University of Technology. Series Transport, 2017
In the toroidal drive, a screw-shaped groove is cut into the globoid worm. There is contact with the rolling element in this groove. This helix can be described by parametric equations. When calculating the values of the first and second curvature of the
Jarmila VOJTKOVÁ
doaj   +1 more source

NUMERICAL MODELLING AND STUDY OF PARAMETRIC ROLLING FOR C11 CONTAINERSHIP IN REGULAR HEAD SEAS USING CONSISTENT STRIP THEORY

Brodogradnja, 2017
In this paper, a numerical model was proposed to simulate the parametric rolling of ships in head seas. The method was developed in time-domain based on strip theory, in which a consistent way of estimating the radiation forces was applied using impulse ...
Kaiye Hu, Rui Wang, Wenyang Duan, Wenhao Xu, Rui Deng, Shan Ma   +5 more
doaj   +1 more source

Robust Tension Control of Strip for 5-Stand Tandem Cold Mills

Journal of Engineering, 2014
Tandem cold rolling process is a nonlinear complex system with external and internal uncertainties and significant disturbances. The improvement in the quality of the final output depends on the control strategy of centerline thickness and interstand ...
Behrooz Shafiei, Mohsen Ekramian, Khoshnam Shojaei   +2 more
doaj   +1 more source

Parametric study of tire pavement contact under dynamic traffic loads [PDF]

MATEC Web of Conferences
This work centers on the development of a three-dimensional tire– pavement interaction model in order to study the distribution of contact stresses, for future use in mechanistic analysis of pavement behavior.
El Ghoulbzouri Aziza, El Ghoulbzouri Abdelouafi   +1 more
doaj   +1 more source

Comparative models in customer base analysis: parametric model and observation-driven model

Journal of Business Economics and Management, 2020
This study conducts a dynamic rolling comparison between the Pareto/NBD model (parametric model) and machine learning algorithms (observation-driven models) in customer base analysis, which the literature has not comprehensively investigated before.
Shao-Ming Xie
doaj   +1 more source