2023 - Repozytorium publikacji - Politechnika Gdańska

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Opinia dotycząca zasadności wykonanych robót hydrotechnicznych i sposobu zagospodarowania nieruchomości w kontekście wykorzystania jako morski port przeładunkowy.
- Marcin Cudny
- Mariusz Wyroślak
2023
Opinię przygotowano na podstawie umowy zawartej w Gdyni w dniu 2 lutego 2023r. pomiędzy Gdynia Container Terminal Sp. z o.o. z siedzibą w Gdyni przy ul. Energetyków 5 oraz Politechniką Gdańską z siedzibą w Gdańsku ul. Narutowicza 11/12.
Opinia geotechniczna dotycząca analizy przyczyn powstania nadmiernych osiadań podłogi obiektu magazynowego zlokalizowanego przy ul. Hutniczej 48 w Gdyni.
- Rafał Ossowski
- Mariusz Wyroślak
- Waldemar Magda
2023
Opinię przygotowano na podstawie umowy nr 13/2023 zawartej w Gdyni w dniu 17 lipca 2023 r. pomiędzy Highgate Sp. z o.o. z siedzibą w Warszawie przy ul. Sienna 73 oraz Politechniką Gdańską z siedzibą w Gdańsku ul. Narutowicza 11/12. Nr archiwalny umowy WILiŚ/16/BZ/002/2023.
Opinia naukowo-techniczna dotycząca wyników badań statycznych i dynamicznych nośności pali prefabrykowanych wbijanych o wym. 40×40 cm podpór obiektów mostowych na budowie drogi ekspresowej S61, Ostrów Mazowiecka – Szczuczyn
- Adam Krasiński
- Andrzej Słabek
2023
Opiniowanie wyników badań nośności pali
Opinia techniczna dotycząca oceny przeprowadzonych robót ziemnych oraz przyjętych rozwiązań geotechnicznych w projekcie budowlanym w kontekście wpływu na podłoże gruntowe i obiekt budowlany działki sąsiedniej.
- Mariusz Wyroślak
2023
Celem opinii jest ocena wpływu robót ziemnych wykonywanych na działce nr 396 obręb 0019 położonej w Gdyni Małym Kacku, przy ul. Radomskiej 21, na pogorszenie stanu gruntu i możliwość wystąpienia awarii budynku położonego na działce nr 395 obręb 0019 w Gdyni Małym Kacku przy ul. Radomskiej 19. Opinia odnosi się również do rozwiązań geotechnicznych zawartych w projekcie budowlanym, które mogły mieć wpływ na zaistnienie sytuacji awaryjnych obiektów wokół zaprojektowanego budynku.
Optical method supported by machine learning for urinary tract infection detection and urosepsis risk assessment
- Paweł Wityk
- Patryk Sokołowski
- Małgorzata Szczerska
- Kacper Cierpiak
- Beata Krawczyk
- Michał Markuszewski
2023 Pełny tekst Journal of Biophotonics
The study presents an optical method supported by machine learning for discriminating urinary tract infections from an infection capable of causing urosepsis. The method comprises spectra of spectroscopy measurement of artificial urine samples with bacteria from solid cultures of clinical E. coli strains. To provide a reliable classification of results assistance of 27 algorithms was tested. We proved that is possible to obtain up to 97% accuracy of the measurement method with the use of use of machine learning. The method was validated on urine samples from 241 patients. The advantages of the proposed solution are the simplicity of the sensor, mobility, versatility, and low cost of the test.
Optical rotation in the lithium triborate nonlinear crystal
- Mykola Shopa
- Nazar Ftomyn
- Yaroslav Shopa
2023 Journal of Applied Crystallography
A dual-wavelength polarimetric technique at 633 and 661 nm has been used for the characterization of a nonlinear lithium triborate (LiB3O5) nonenantiomorphous biaxial crystal. The mismatch of the crystallographic and optical coordinate systems was taken into account. The optical rotatory power for light propagation along one of the optical axes is ρ = 7.06° mm−1. The gyration tensor component along the bisector between the x and y crystallographic axes has been measured as g12 = 4.31 × 10−5. Computed values based on the crystalline structure and electronic polarizabilities are in good agreement with those obtained experimentally.
Optimal Design of Transmitarray Antennas via Low-Cost Surrogate Modelling
- Mehmet Belen
- Alper Caliskan
- Sławomir Kozieł
- Anna Pietrenko-Dąbrowska
- Peyman Mahouti
2023 Pełny tekst Scientific Reports
Over the recent years, reflectarrays and transmitarrays have been drawing a considerable attention due to their attractive features, including a possibility of realizing high gain and pencil-like radiation patterns without the employment of complex feeding networks. Among the two, transmitarrays seem to be superior over reflectarrays in terms of achieving high radiation efficiency without the feed blockage. Notwithstanding, the design process of transmitarrays is more intricate due to the necessity of manipulating both the transmission phase and magnitude of its unit elements. For reliability, the design process has to be conducted at the level of full-wave electromagnetic (EM) models, which makes direct optimization prohibitive. The most widely used workaround is to employ surrogate modeling techniques to construct fast representations of the unit elements, yet the initial model setup cost is typically high and includes acquisition of thousands of training data points. In this paper, we propose a novel approach to cost-efficient design of transmitarrays. It is based on artificial-intelligence (AI)-enabled data-driven surrogates, which can be constructed using only a few hundreds of training data samples, while exhibiting the predictive power sufficient for reliable design. Our methodology is demonstrated by re-using the presented surrogate for the design of high-performance transmitarrays operating at various frequency ranges of 8-14 GHz, 22-28 GHz, and 28-36 GHz.
Optimal retrofit strategy using viscous dampers between adjacent RC and SMRFs prone to earthquake‑induced pounding
- Neda Asgarkhani
- Farzin Kazemi
- Robert Jankowski
2023 Pełny tekst Archives of Civil and Mechanical Engineering
Nowadays, retrofitting-damaged buildings is an important challenge for engineers. Finding the optimal placement of Viscous Dampers (VDs) between adjacent structures prone to earthquake-induced pounding can help designers to implement VDs with optimizing the cost of construction and achieving higher performance levels for both structures. In this research, the optimal placement of linear and nonlinear VDs between the 3-story, 5-story, and 9-story Steel and RC Moment-Resisting Frames (SMRFs and RC MRFs) is investigated. It is shown that the pounding phenomenon can significantly affect the seismic performance capacities of buildings during earthquakes, and using VDs can improve the seismic limit-state capacities of buildings for retrofitting purposes. For this goal, the seismic limit-state capacities of both colliding structures were assessed using Incremental Dynamic Analysis (IDA) assuming Near-fault Pulse-Like, Near-fault No-Pulse, and Far-Fault seismic records suggested by FEMA-P695. To perform IDAs, structures were modeled according to the seismic codes using a developed algorithm in Matlab and OpenSees software with the ability to remove a collapsed structure during the analysis. The results present an optimal placement for using VDs between structures and also compare the possible conditions to implement VDs. Using these results, engineers can approximately predict the seismic performance levels of both structures prone to earthquake-induced pounding and their final performance after retrofitting. Finally, retrofitting modification factors were proposed to help designers to predict the limit-state performance levels of retrofitted colliding structures without involving complicated and time-consuming analyses.
Optimisation of cooperation of hybrid renewable energy sources with hydrogen energy storage toward the lowest net present cost
- Jakub Łukasik
- Marcin Jewartowski
- Jan Wajs
2023 Pełny tekst Instal
The paper presents the results of a technical and economic analysis of the power supply for a model industrial facility based on intermittent renewable energy sources in the form of wind turbines and photovoltaic modules, supplemented with hydrogen energy storage. The adopted power supply strategy assumed the maximisation of self-consumption of self-produced electricity. Six variants were considered, including two with an energy storage system, three using only RES, and a reference variant in which the model facility is powered by the power grid. The modelling and optimisation of the proposed variants was carried out in the HOMER software, in terms of the lowest net present cost. The results obtained indicate that the most advantageous configuration is a grid-connected hybrid renewable energy system consisting of wind turbines and a photovoltaic power plant. A system with hydrogen energy storage is much more profitable than powering the facility from the grid. The profitability of hydrogen energy storage increases even more with the projected increase in electricity prices and the falling prices of hydrogen system components.
Optimization and Modeling of Cr (VI) Removal from Tannery Wastewater onto Activated Carbon Prepared from Coffee Husk and Sulfuric Acid (H2SO4) as Activating Agent by Using Central Composite Design (CCD)
- Worku Firomsa Kabeta
- Temesgen Amibo
- Surafel Mustafa Bayan
- Abreham Bekele Bayu
2023 Pełny tekst Journal of Environmental and Public Health
The primary goal of this research is to lower the hexavalent chromium (Cr (VI)) concentration that has occurred from the growth of the tannery industry. As a result, the potential for heavy metal concentration is increasing day by day. Industrial effluent containing Cr (VI) contributes significantly to water pollution. Chromium hexavalent ion (Cr (VI)) in wastewater is extremely hazardous to the environment. It is critical to address such a condition using activated carbon derived from biomass. Adsorption is one of the most successful methods for removing hexavalent chromium from wastewater. Treated wastewater has no substantial environmental contamination consequences. The ash content, moisture content, volatile matter content, and fixed carbon content of wet coffee husk were 3.51, 10.85, 68.33, and 17.31, respectively. The physicochemical properties of coffee husk-based activated carbon (CHBAC) obtained during experimentation were pH, porosity, the yield of CHBAC, bulk density, point of zero charges, and specific surface area of 5.2, 58.4 percent, 60.1 percent, 0.71 g/mL, 4.19, and 1396 m2/g, respectively, indicating that CHBAC has a higher capacity as an adsorbent medium. For optimization purposes, the parameters ranged from pH (0.3–3.7), dose (2.3–5.7) , and contact time (0.3–3.7) hr. The quadratic models were chosen for optimization, and the value for the model was significant since it was less than 0.05, but the lack of fit model was inconsequential because it was more than 0.05. The optimum adsorption obtained with numerical optimization of Cr (VI) was 97.65 percent. This was obtained at a pH of 1.926, a dose of 4.209 g/L, and a contact time of 2.101 hours. This result was observed at a pH of 1.93, a dosage of 4.2 g/L, and a contact duration of 2.1 hours. The desirability obtained during numerical optimization was 1. Coffee husk-based activated carbon has a bigger surface area, and it has a stronger ability to absorb hexavalent chromium from tannery wastewater effluents.
Optimization of a Fabric Phase Sorptive Extraction protocol for the isolation of six bisphenols from juice pouches to be analysed by high performance liquid chromatography coupled with diode array detector
- Paweł Kubica
- Natasa Kalogiouri
- Abuzar Kabir
- Kenneth G. Furton
- Victoria F. Samanidou
2023 JOURNAL OF CHROMATOGRAPHY A
Fabric Phase Sorptive Extraction (FPSE) combined with high pressure liquid chromatography using to diode array detection (HPLC-DAD) was applied for the simultaneous determination of bisphenols (BPA, BPB, BPC, BPE, BPF, BPS) in juice pouches. The FPSE procedure was optimized with regards to the critical parameters that affect the performance of the method including the selection of the FPSE membrane type and size, adsorption time, extraction time, solvent volume desorption, magnetic stirring ratio, and salt addition. The FPSE membrane could be reused up to 14 times. The developed FPSE-HPLC-DAD method was validated in terms of linearity, sensitivity, accuracy andprecision. The limits of detection (LODs) were lower than 6.9 ng/mL, while the limits of quantification (LOQs) were lower than 21 ng/mL. The results obtained are satisfactory in terms of precision, accuracy and repeatability, with recoveries above 86% and CV values below 9.5%. The FPSE-HPLC-DAD method was successfully applied in the determination of six bisphenols in juice samples stored in pouches.
Optimization of adsorption of methyl orange from aqueous solution by magnetic CoFe2O4/ZnAl-layered double hydroxide composite using response surface methodology
- Yiene Molla Desalegn
- Endrias Adane Bekele
- Temesgen Amibo
- Temesgen Debelo Desissa
2023 Pełny tekst Materials Research Express
The CoFe2O4/ZnAl-layered double hydroxide (LDH) composite was successfully developed through a facile co-precipitation method, characterized, and applied as an effective adsorbent for the removal of methyl orange (MO) dye from aqueous solutions. The central composite design (CCD) of the response surface methodology (RSM) was employed to estimate and optimize process variables such as initial MO concentrations, solution pH, adsorbent dosage, and contact time. 98.878% adsorption efficiency was obtained at an initial concentration of 18.747 mg l−1 of MO, with an adsorbent dosage of 0.048 g, a solution pH of 2.770, and a contact time of 85.890 min. Analysis of variance (ANOVA) confirmed the significance of the predicted model (R2 = 0.9844). Kinetic and equilibrium studies indicated that the experimental data for MO adsorption were best described by pseudo-second-order kinetic and Langmuir models. The maximum monolayer adsorption capacity of the CoFe2O4/ZnAl-LDH for MO was 42.3 mg g−1.
Optimization of Bread Production Using Neuro-Fuzzy Modelling
- Tomasz Boiński
- Julian Szymański
2023
Automation of food production is an actively researched domain. One of the areas, where automation is still not progressing significantly is bread making. The process still relies on expert knowledge regarding how to react to procedure changes depending on environmental conditions, quality of the ingredients, etc. In this paper, we propose an ANFIS-based model for changing the mixer speed during the kneading process. Although the recipes usually indicate the time for which the mixing should be done using slow and fast mixing speeds, however, it is the human, who makes the final decision as the mixers differ in terms of the mixing quality, speed, etc. Furthermore, unexpected differences in flour quality or room conditions can impact the time required to mix the ingredients. In the paper, different methods for fuzzy modeling are described and analyzed. The tested models are compared using both generated and real data and the best solution is presented.
Optimization of parallel implementation of UNRES package for coarse‐grained simulations to treat large proteins
- Adam Sieradzan
- Jordi Sans‐Duñó
- Emilia Lubecka
- Cezary Czaplewski
- Agnieszka Lipska
- Henryk Leszczyński
- Krzysztof Ocetkiewicz
- Jerzy Proficz
- Paweł Czarnul
- Henryk Krawczyk
- Adam Liwo
2023 Pełny tekst JOURNAL OF COMPUTATIONAL CHEMISTRY
We report major algorithmic improvements of the UNRES package for physics-based coarse-grained simulations of proteins. These include (i) introduction of interaction lists to optimize computations, (ii) transforming the inertia matrix to a pentadiagonal form to reduce computing and memory requirements, (iii) removing explicit angles and dihedral angles from energy expressions and recoding the most time-consuming energy/force terms to minimize the number of operations and to improve numerical stability, (iv) using OpenMP to parallelize those sections of the code for which distributed-memory parallelization involves unfavorable computing/communication time ratio, and (v) careful memory management to minimize simultaneous access of distant memory sections. The new code enables us to run molecular dynamics simulations of protein systems with size exceeding 100,000 amino-acid residues, reaching over 1 ns/day (1 μs/day in all-atom timescale) with 24 cores for proteins of this size. Parallel performance of the code and comparison of its performance with that of AMBER, GROMACS and MARTINI 3 is presented.
Optimization of the distance between the vertical plates in the convective air heat exchanger
- Michał Ryms
- Krzysztof Tesch
- Witold Lewandowski
2023 INTERNATIONAL JOURNAL OF THERMAL SCIENCES
This paper examines the influence of the distance between vertical plates on the intensity of free convective heat transfer along with the optimization of this distance. Experimental tests were carried out for one model channel of such an heat exchanger with widths , 0.085 and 0.18 m. This channel, open at the top and sides, was formed by two isothermal symmetrically heated parallel vertical plates of dimensions m and m. The influence of the heating surface temperatures , 40, 50, 55, 60 and 70 °C on the convective temperature fields and velocity generated inside the channels was investigated. Directly measured temperature fields, as well as velocity fields measured indirectly using the NRP, enabled the thermodynamic parameters of the heat exchanger to be determined. Based on the temperature gradient distribution on the wall, its average value was determined for each of the plates and for the entire channel, after which the heat flux transferred from the plates was calculated. The heat flux transferred with the air and the efficiency of heat transfer in the channel were determined using the balance method based on the average temperatures and air velocities at the inlet and and at the outlet and of the channel obtained from the temperature and velocity fields. A grid placed vertically in the channel, halfway across the panel width and perpendicular to the heating surfaces was used to detect the temperature field in air. The image and matrix of these temperatures were determined using a thermal imaging camera. The numerical reconstruction procedure (NRP) was used to determine the velocity field.
Optimization of the femtosecond laser impulse for excitation and the Spin-Orbit mediated dissociation in the NaRb Dimer
- Jan Kozicki
- Patryk Jasik
- Tymon Kilich
- Józef Sienkiewicz
2023 Pełny tekst JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
We study the dynamics of multiple coupled states under the influence of an arbitrary time-dependent external field to investigate the femtosecond laser-driven excitation and the spin-orbit mediated dissociation in the NaRb dimer. In this process, the dimer is excited from the ground triplet state 1^3Sigma+ to the 1^3Pi state using the femtosecond laser impulse and the spin-orbit coupling between the 1^3Pi and 2^1Sigma+ states results in the singlet-triplet transition. The laser impulse parameters are optimised to obtain maximum yield in electronic states correlating with the first excited atomic asymptote. We observe the detailed population statistics and power-law decay of these states. Finally, the analysis of the population oscillations allows us to determine the optimal time delay for dumping the molecule to its absolute ground state.
Optimization of the Hardware Layer for IoT Systems using a Trust Region Method with Adaptive Forward Finite Differences
- Adrian Bekasiewicz
2023 Pełny tekst IEEE Internet of Things Journal
Trust-region (TR) algorithms represent a popular class of local optimization methods. Owing to straightforward setup and low computational cost, TR routines based on linear models determined using forward finite differences (FD) are often utilized for performance tuning of microwave and antenna components incorporated within the Internet of Things systems. Despite usefulness for design of complex structures, performance of TR methods vastly depends on the quality of FD-based local models. The latter are normally identified from perturbations determined a priori using either rules-of-thumb, or as a result of manual tuning. In this work, a framework for automatic determination of FD steps and their adjustment between the TR algorithm iterations is proposed. The method involves numerical optimization of perturbations so as to equalize the objective function changes w.r.t. the center design to the desirable precision. To maintain acceptable cost, the FD-tuning procedure is executed using the same approximation model as the one exploited in the course of the structure optimization. The proposed framework has been tested on a total of twelve design problems. Furthermore, the presented method has been thoroughly validated against TR-algorithms with static, a priori selected perturbations. Numerical results indicate that the proposed framework provides up to 50% performance improvement (in terms of the optimized designs quality) compared to the state-of-the-art TR-based approaches. Usefulness of the proposed method for the real-world Internet of Things systems has been implicitly demonstrated through utilization of one of the optimized structures in a hardware layer of a real-time localization system.
Optimization of the System for Determining the Volume of Tissue Needed for Breast Reconstruction
- Julia Czałpińska
- Andżelika Janicka
- Jakub Rzepkowski
- Mariusz Kaczmarek
- Tomasz Kocejko
- Jo Kang-Hyun
2023
This article presents techniques for reconstructing surfaces and volume calculations using a point cloud generated from 3D imaging. The main objective of this article was to optimize the voxel size for the most accurate representation of the surface of the female breast. We experimented with different methods for determining volume using images from the Intel D435i camera. In addition, we designed application and measurement station tailored specifically to the clinical requirements. Ultimately, our results show that 3D imaging systems can effectively determine breast volume for surgical procedures.
Optimization of vortex-assisted hydrophobic magnetic deep eutectic solvent-based dispersive liquid phase microextraction for quantification of niclosamide in real samples
- Nail Altunay
- Roberto Castro Munoz
- Hameed Haq
2023 FOOD CHEMISTRY
In this manuscript, a green and fast vortex-assisted hydrophobic magnetic deep eutectic solvent-based dispersive liquid phase microextraction (VA-HMDES-DLPME) method was developed for the selective extraction and determination of niclosamide in read samples, including rice, medicine tablets, and water samples. Here, hydrophobic magnetic deep eutectic solvents were used as the extracting solvent without requiring any centrifugation step. In the light of preliminary experiments, important parameters, such as volume of extraction solvent, pH, acetonitrile volume and vortex time, affecting the extraction efficiency of niclosamide were optimized using a Box–Behnken design. The linear dynamic range (0.25–120 µg/L), the limit of detection (0.08 µg/L), the limit of quantitation (0.25 µg/L), preconcentration factor (1 8 0), and enrichment factor (1 3 0) of the method were determined using optimized data. In particular, the validation parameters of the optimized VA-HMDES-DLPME, including robustness, matrix effect accuracy, and precision, were investigated. In addition to this, intra- and inter-day precisions were determined as ≤3.5 % and ≤4.1%, respectively. Finally, the optimized method was successfully used for the extraction of niclosamide in the selected samples prior to spectrophotometric analysis.
Optimized Computational Intelligence Model for Estimating the Flexural Behavior of Composite Shear Walls
- Masoomeh Mirrashid
- Hosein Naderpour
- Denise-Penelope N. Kontoni
- Anna Jakubczyk-Gałczyńska
- Robert Jankowski
- Tan N. Nguyen
2023 Pełny tekst Buildings
This article presents a novel approach to estimate the flexural capacity of reinforced concrete-filled composite plate shear walls using an optimized computational intelligence model. The proposed model was developed and validated based on 47 laboratory data points and the Transit Search (TS) optimization algorithm. Using 80% of the experimental dataset, the optimized model was selected by determining the unknown coefficients of the network-based computational structure. The remaining 20% of the data was used to evaluate the accuracy of the model, and the best-performing structure was selected. Furthermore, the final neural network details were subjected to statistical analysis to extract a user-friendly formula, making it easier to apply in practice. The proposed ANN model and the proposed user-friendly formula were then compared with the AISC 341-16 and experimental results and demonstrated their efficacy in predicting the flexural behavior of composite shear walls. Overall, the proposed approach provides a more reliable and efficient framework for estimating the flexural behavior of composite shear walls.