Fatigue factor assessment and life prediction of concrete based on Bayesian regularized BP neural network

H Chen, Z Sun, Z Zhong, Y Huang - Materials, 2022 - mdpi.com
Concrete tensile properties usually govern the fatigue cracking of structural components
such as bridge decks under repetitive loading. A fatigue life reliability analysis of commonly …

Multiple linear regression to predict the brightness of waste fibres mixtures before bleaching

G Tofani, I Cornet, S Tavernier - Chemical Papers, 2022 - Springer
Waste paper is recovered and bleached to produce recycled newsprints and magazines. It is
composed of a fibre mixture from different wood pulping processes. Each type of fibre shows …

Sensitivity Analysis of Open-Top Cartons in Terms of Compressive Strength Capacity

D Mrówczyński, T Gajewski, T Garbowski - Materials, 2023 - mdpi.com
Trays in which fruit and vegetables are transported over vast distances are not only stored in
extreme climatic conditions but are also subjected to long-term loads. Therefore, it is very …

An analysis of the influence of hand hole and ventilation hole design on compressive strength of corrugated fiberboard boxes by an artificial neural network model

T Archaviboonyobul, R Chaveesuk… - Packaging …, 2020 - Wiley Online Library
This research aimed at developing a high‐performing corrugated fiberboard box
compression strength prediction model and to analyze the influences of ventilation and hand …

Modified compression test of corrugated board fruit tray: numerical modeling and global sensitivity analysis

T Garbowski, D Mrówczyński, JK Grabski - Materials, 2023 - mdpi.com
This article presents a modified configuration of the box compression test (BCT), which
reflects the actual behavior of the vegetable or fruit trays during transport and storage. In …

On the use of artificial intelligence in predicting the compressive strength of various cardboard packaging

T Gajewski, JK Grabski, A Cornaggia… - Packaging …, 2024 - Wiley Online Library
Artificial intelligence is increasingly used in various branches of engineering. In this article,
artificial neural networks are used to predict the crush resistance of corrugated packaging …

Alternative method for determining basis weight in papermaking by using an interactive soft sensor based on an artificial neural network model

JL Rodríguez-Álvarez, R López-Herrera… - Nordic Pulp & Paper …, 2022 - degruyter.com
Currently, there are two procedures to determine the basis weight in papermaking
processes: the measurements made by the quality control laboratory or the measurements …

Application of Artificial Neural Networks to Numerical Homogenization of the Precast Hollow-Core Concrete Slabs

T Gajewski, P Skiba - Applied Sciences, 2024 - mdpi.com
The main goal of this work is to combine the usage of the numerical homogenization
technique for determining the effective properties of representative volume elements with …

Construction and Characterization of Fitting Equations for a New Wheat Straw Pulping Method

X Liang, S Wei, Y Xu, L Yin, R Wang, P Li, K Liu - Polymers, 2023 - mdpi.com
The pretreatment of pulp with enzymes has been extensively studied in the laboratory.
However, due to cost constraints, the application of enzymes in the pulp and paper industry …

[PDF][PDF] Sensitivity Analysis of Open-Top Cartons in Terms of Compressive Strength Capacity. Materials 2023, 16, 412

D Mrówczyński, T Gajewski, T Garbowski - 2023 - researchgate.net
Trays in which fruit and vegetables are transported over vast distances are not only stored in
extreme climatic conditions but are also subjected to long-term loads. Therefore, it is very …