Combination of limited meteorological data for predicting reference crop evapotranspiration using artificial neural network method

A Elbeltagi, A Nagy, S Mohammed, CB Pande… - Agronomy, 2022 - mdpi.com
Reference crop evapotranspiration (ETo) is an important component of the hydrological
cycle that is used for water resource planning, irrigation, and agricultural management, as …

A novel assisted artificial neural network modeling approach for improved accuracy using small datasets: Application in residual strength evaluation of panels with …

A Hijazi, S Al-Dahidi, S Altarazi - Applied Sciences, 2020 - mdpi.com
An artificial neural network (ANN) extracts knowledge from a training dataset and uses this
acquired knowledge to forecast outputs for any new set of inputs. When the input/output …

Application of Neural Network Models with Ultra-Small Samples to Optimize the Ultrasonic Consolidation Parameters for 'PEI Adherend/Prepreg (CF-PEI Fabric)/PEI …

DY Stepanov, D Tian, VO Alexenko, SV Panin… - Polymers, 2024 - mdpi.com
The aim of this study was to optimize the ultrasonic consolidation (USC) parameters for 'PEI
adherend/Prepreg (CF-PEI fabric)/PEI adherend'lap joints. For this purpose, artificial neural …

Fatigue life scatter modeling and failure probability prediction of multisite damage structural part under variable amplitude load history

B Qin, L Xie - Mathematical Problems in Engineering, 2022 - Wiley Online Library
An “index stress”(a constant amplitude cyclic stress) is introduced to characterize the scatter
of the fatigue life under a variable amplitude load history. It is defined as a fatigue damage …

Mechanical Properties of Double-Layer Riveted Aluminum Roofing Panels with Curved Surfaces

Y Yuan, Q Zhang, X Luo, L Yuan, S Zhang, H Ge - Metals, 2023 - mdpi.com
In recent years, aluminum alloy has been increasingly used in building structures, becoming
an important construction material for metal structures. Currently, aluminum alloy is …

Numerical Investigations on the Shape Optimization of Stainless-Steel Ring Joint with Machine Learning

M Kim, S Yi, S Hong - Applied Sciences, 2020 - mdpi.com
Since pipes used for water pipes are thin and difficult to fasten using welding or screws, they
are fastened by a crimping joint method using a metal ring and a rubber ring. In the …

Development of a strain field database for a helicopter fuselage panel under double crack damage for machine learning-based applications

DA SANCHEZ SANDOVAL - 2020 - politesi.polimi.it
The analysis of multiple-site damage in the tolerance design of aerospace systems is crucial
for the development of accurate and reliable structural health monitoring methods. Currently …