Search in Publications

Found 6327 publications

Elasto-Plastic limit analysis of reliability based geometrically nonlinear bi-directional evolutionary topology optimization

Publication Name: Structures

Publication Date: 2021-12-01

Volume: 34

Issue: Unknown

Page Range: 1720-1733

Description:

This paper presents elasto-plastic limit analysis of reliability-based geometrically nonlinear topology optimization. For this purpose, by reason of uncertainties the volume fraction is considered randomly during optimization. Thus reliability-based design has been considered for solving the problems. To perform reliability-based topology optimization design, the Monte-Carlo simulation method has been applied to calculate the probability of failure, thus the reliability index. Besides, bi-directional evolutionary structural optimization (BESO) method is used to consider the effect of geometrically nonlinear design for elasto-plastic analysis. Plastic behavior is controlled by applying a bound on the plastic limit load multipliers using limit analysis. The adequacy of the proposed method is exhibited by three 2D benchmark problems. 2D models of L-shape beam and U-shaped plate are considered for reliability-based design and geometrically nonlinear analysis topology optimization in case of elastic material. Additionally, 2D and 3D elasto-plastic material models have been considered to demonstrate that the proposed method can find the optimal topology of elasto-plastic models for reliability-based design and geometrically nonlinear analysis.

Open Access: Yes

DOI: 10.1016/j.istruc.2021.08.105

Addressing storage time restrictions in the S-graph scheduling framework

Publication Name: Optimization and Engineering

Publication Date: 2021-12-01

Volume: 22

Issue: 4

Page Range: 2679-2706

Description:

Storage planning and utilization are among the most important considerations of practical batch process scheduling. Modeling the available storage options appropriately can be crucial in order to find practically applicable solutions with the best objective value. In general, there are two main limitations on storage: capacity and time. This paper focuses on the latter and investigates different techniques to tackle limited storage time within the S-graph framework. The S-graph framework is a collection of combinatorial algorithms and a directed graph based model that has been introduced three decades ago and has been under development ever since. In this work, several options for addressing storage time limitations within the framework were implemented and tested for efficiency. The empirical results over a huge number of tests have unequivocally favored one of the approaches, which will be applied in later developments.

Open Access: Yes

DOI: 10.1007/s11081-020-09548-1

A COMPARATIVE STRUCTURAL ANALYSIS OF FOUR RADIOSONDE MODELS

Publication Name: Transactions on Aerospace Research

Publication Date: 2021-12-01

Volume: 2021

Issue: 4

Page Range: 68-81

Description:

In this study, we first performed a comprehensive structural analysis of four models of radiosondes (devices intended for use as the meteorological probe of a sounding balloon) manufactured by three different companies - Graw, Vaisala and Meteomodem. The radiosondes were disassembled for visual inspection and manual measurement, three-dimensional computed tomography images were taken of their inner structure, and the outer shapes of the radiosondes were scanned with a structured-light three-dimensional scanner. The structural properties of the radiosondes thus identified were then compared to one other, based on which the Meteomodem M10 was ranked as the least harmful in a potential collision. Next, the Meteomodem M10 radiosonde was used in collision tests with a heavy target and with a pumpkin model, in order to evaluate the possible damage caused by and to the radiosonde in different types of collisions.

Open Access: Yes

DOI: 10.2478/tar-2021-0024

Development of New HS–SPME–GC–MS Technique to the Measurement of Volatile Terpenoid Profile of Milk

Publication Name: Food Analytical Methods

Publication Date: 2021-12-01

Volume: 14

Issue: 12

Page Range: 2585-2596

Description:

This study presented the development of such a HS–SPME–GC–MS technique, with the use of which, directly from the raw milk sample matrix, both qualitatively and quantitatively; the volatile terpenoids (α-pinene, sabinene, β-pinene, p-cymene, limonene, linalool, α-thujene, camphor, menthol, methyl chavicol, caryophyllene E, α-humulene) can be determined, derived from herbs eaten by the dairy animals by different feeding methods. Repeatability was less than 10% in the case of milk fat samples. The estimated limits of quantitation were between 2 and 16 ng/g. The lowest values were 2 ng/g for p-cymene and methyl chavicol; the highest value was 16 ng/g for caryophyllene. In the case of goat milk, the repeatability was better than 8% except for α-thujene. The estimated limits of quantitation were between 1 and 8 ng/g. The lowest values were 1 ng/g for β-pinene, p-cymene and limonene, and the highest value was 8 ng/g for linalool. In milk fat, the highest concentration was identified in caryophyllene E (470 ng/g) and α-humulene (430 ng/g), while the lowest concentration was in p-cymene (2 ng/g) and camphor (2 ng/g). In goat milk, limonene was present in all samples, but its amount varied depending on the type of consumed herb. Methyl chavicol and caryophyllene E were detected in goat’s milk only in one case. The former was detected in sage milk at 2.09 ng/g and the latter in tarragon milk at 2.28 ng/g. We have also successfully demonstrated that the feed consumed by dairy animals also affects the quality of dairy products.

Open Access: Yes

DOI: 10.1007/s12161-021-02070-9

Conference report from 13th European Conference on Precision Agriculture (ECPA)

Publication Name: Environmental Sciences Europe

Publication Date: 2021-12-01

Volume: 33

Issue: 1

Page Range: Unknown

Description:

This is a report on the 13th European Conference on Precision Agriculture (ECPA) that took place between 18 and 22, July at the location of the University of Public Service in Budapest, Hungary. The theme of the Conference was the “Adoption of innovative precision agriculture technologies and solutions”. Due to the pandemic, the conference was a hybrid event. The two societies—the International Society of Precision Agriculture and the Hungarian Society of Precision Agriculture—had contributed to the event. The international conference was mainly attended by academic researchers, university instructors, company executives and farmers. The event comprised five plenary and 22 scientific sessions.

Open Access: Yes

DOI: 10.1186/s12302-021-00559-y

A rapid and efficient DNA isolation method for qPCR-based detection of pathogenic and spoilage bacteria in milk

Publication Name: Food Control

Publication Date: 2021-12-01

Volume: 130

Issue: Unknown

Page Range: Unknown

Description:

The objective of this study was to find an efficient, rapid, simple, and cost-effective method of pretreating raw milk samples to produce PCR-ready DNA for subsequent microbial detection using the strains of eight bacterial species. A total of 17 in-house protocols and three commercial kits were evaluated in three steps from scientific, practical, and economic perspectives. The results showed that an in-house procedure involving Triton X-100-based pretreatment and an inhibitor removal resin was superior to all other methods tested in terms of DNA yield, sensitivity, ease of sample handling, time efficiency, and cost per sample. Overall, this simplified preanalytical protocol was shown to have a great potential for use in rapid detection of dairy-related bacterial species, thereby enabling early intervention in the food chain and thus reducing the risk of negative economic and health outcomes.

Open Access: Yes

DOI: 10.1016/j.foodcont.2021.108236

Intra- and Interorganizational Barriers to Blockchain Adoption: A General Assessment and Coping Strategies in the Agrifood Industry

Publication Name: Logistics

Publication Date: 2021-12-01

Volume: 5

Issue: 4

Page Range: Unknown

Description:

Background: Companies partaking in modern supply chains face numerous intra- and interorganizational barriers when it comes to the adoption of blockchain technology. Empirical research is missing that explores how exactly these barriers can be overcome. In this paper we first explore barriers that organizations need to overcome to successfully deploy blockchain technology. In a second step, we investigate the agrifood industry and highlight differences in coping strategies between incumbents and start-ups. Methods: We conducted a quantitative survey with 190 supply chain experts to identify barriers and an in-depth qualitative study that included 10 expert interviews to better understand the current situation in agrifood organizations. Results: The findings from the quantitative study show that the most relevant organizational barrier to blockchain adoption is the widespread lack of understanding of the technology and its potential benefits. In the qualitative study we illustrate how various intra- and interorganizational barriers can be overcome and how the resources and capabilities differ between incumbents and start-ups. Conclusions: Our results provide academics with a better understanding of the relevant barriers and bridges of blockchain adoption. Practitioners benefit from learning about the resources and capabilities they need to deploy in order to benefit from blockchain technology.

Open Access: Yes

DOI: 10.3390/logistics5040087

Physical Internet: A solution for the Supply Chain disruptions during the COVID-19 pandemic

Publication Name: Acta Technica Jaurinensis

Publication Date: 2021-11-24

Volume: 14

Issue: 4

Page Range: 577-598

Description:

In this paper, we will specify our research on the impact of the COVID19 on Supply Chain Management and show up the critical issues and how the digital solution like the Physical Internet (PI, π) could solve the disruptions of production or delivery of a Supply Chain. The Physical Internet is still an emerging phenomenon in which it is intended to replace the current logistics model by encompassing new technologies such as Artificial Intelligence, Big Data, the Internet of Things (IoT), and others. This article aims to compose conceptual research to describe Supply Chain Management problems during the COVID-19 pandemic and represent the Physical Internet as a solution for this disruption based on various journal articles, papers, websites, and managers' experiences. Further, this study helps increase the understanding of scholars and practitioners on how the novel PI paradigm can solve COVID-19-induced Supply Chain disruptions. Furthermore, the Physical Internet and other modern technologies in the business world are necessary and recommended, as these current issues now require quick decisions and up-to-date knowledge.

Open Access: Yes

DOI: 10.14513/actatechjaur.00579

Asphalt layers within railway tracks’ substructure

Publication Name: Acta Technica Jaurinensis

Publication Date: 2021-11-24

Volume: 14

Issue: 4

Page Range: 612-630

Description:

For both heavy cargo Rail lines and High-Speed Lines, the railway industry continues to develop railway track design technologies. Within the past years, using an asphalt layer as a part of the railway track became so common as a support layer, it helps to reduce noise and vibration levels, reduce the thickness of the cross-sectional layers, reduce the lifetime maintenance, and many other great advantages. This paper will discuss the application of asphalt layers in railways, functionality, application fields, and types of asphalted trackbeds. Design requirements and parameters of asphalt layers, the mix design, installation process, and international experiences will be mentioned. Asphalt layers can improve the overall performance of the trackbeds and their behavior under repeated stresses of trains, the effect of asphalt layers on stress and strain ratios will be briefly discussed.

Open Access: Yes

DOI: 10.14513/actatechjaur.00634