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[popis] => Plastic pipe producers are forced by various initiatives to increase the content of recycled material in their products. The performance of the recycled material is worse than the performance of the virgin material. That is why plastic pipes made entirely of recycled material are now allowed for non-pressure applications only. It would be theoretically possible to use the recycled material in pressure applications as a part of multilayer pipes. In this contribution, lifetimes of both multilayer and single-layer pipes containing recycled materials are estimated to see, if the presence of recycled material layer in the pipe wall reduces the lifetime significantly. Several possible designs are considered. Test data from cracked round bar (CRB) tests on the recycled material are used as an input for the lifetime estimation. The lifetime estimation is carried out using FEM modelling of different loading cases and integration of the power law that describes the crack growth rate.
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[popis] => The paper deals with a computational and experimental analysis of the relation between the layout of PVDF (polyvinylidene fluoride) patches on the vibrating structure and generated mean electrical power/voltage on them at different vibrational conditions (excited mode shapes). The electromechanical response of (variously distributed) PVDF patches upon vibrations of the plate is analysed in details using the FE model and a harmonic analysis. In the next step the simulation outputs are confronted and verified with experimental observations made on the real vibrating plate. Results of the numerical modelling define the most suitable and effective distribution of patches on the vibrating structure and an optimal connected resistance in their circuit, leading to a highest generated electrical power/voltage upon vibrations at various mode shapes. A comparison of simulation outputs with performed experiments shows a good agreement between both approaches which makes the modelling an applicable approach for a design of effective piezoelectric skins on (large) vibrating structures for both the energy harvesting and structural health monitoring application.
[popis_orig] => The paper deals with a computational and experimental analysis of the relation between the layout of PVDF (polyvinylidene fluoride) patches on the vibrating structure and generated mean electrical power/voltage on them at different vibrational conditions (excited mode shapes). The electromechanical response of (variously distributed) PVDF patches upon vibrations of the plate is analysed in details using the FE model and a harmonic analysis. In the next step the simulation outputs are confronted and verified with experimental observations made on the real vibrating plate. Results of the numerical modelling define the most suitable and effective distribution of patches on the vibrating structure and an optimal connected resistance in their circuit, leading to a highest generated electrical power/voltage upon vibrations at various mode shapes. A comparison of simulation outputs with performed experiments shows a good agreement between both approaches which makes the modelling an applicable approach for a design of effective piezoelectric skins on (large) vibrating structures for both the energy harvesting and structural health monitoring application.
[klicova_slova] => piezoelectric skin; energy harvesting; structural health monitoring; vibrations; PVDF; FE model
[klicova_slova_orig] => piezoelectric skin; energy harvesting; structural health monitoring; vibrations; PVDF; FE model
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[citace_text] => ŠEVEČEK, O.; KŠICA, F.; RUBEŠ, O.; MACHŮ, Z.; BOLCEK, J.; HADAŠ, Z. Analysis of piezoelectric skin on vibrating structure for energy harvesting and structural health monitoring applications. European Physical Journal-Special Topics, 2022, vol. 2022, no. 1, p. 1-8. ISSN: 1951-6355.
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author="Oldřich {Ševeček} and Filip {Kšica} and Ondřej {Rubeš} and Zdeněk {Machů} and Jan {Bolcek} and Zdeněk {Hadaš}",
title="Analysis of piezoelectric skin on vibrating structure for energy harvesting and structural health monitoring applications",
journal="European Physical Journal-Special Topics",
year="2022",
volume="2022",
number="1",
pages="1--8",
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[popis_en] => The paper deals with a computational and experimental analysis of the relation between the layout of PVDF (polyvinylidene fluoride) patches on the vibrating structure and generated mean electrical power/voltage on them at different vibrational conditions (excited mode shapes). The electromechanical response of (variously distributed) PVDF patches upon vibrations of the plate is analysed in details using the FE model and a harmonic analysis. In the next step the simulation outputs are confronted and verified with experimental observations made on the real vibrating plate. Results of the numerical modelling define the most suitable and effective distribution of patches on the vibrating structure and an optimal connected resistance in their circuit, leading to a highest generated electrical power/voltage upon vibrations at various mode shapes. A comparison of simulation outputs with performed experiments shows a good agreement between both approaches which makes the modelling an applicable approach for a design of effective piezoelectric skins on (large) vibrating structures for both the energy harvesting and structural health monitoring application.
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[nazev] => Poisson's ratio and compressibility of arterial wall-Improved experimental data reject auxetic behaviour
[nazev_orig] => Poisson's ratio and compressibility of arterial wall-Improved experimental data reject auxetic behaviour
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[popis] => Poisson's ratio of fibrous soft tissue is analyzed in this paper on the basis of direct experimental measurements of porcine arterial wall layer under uniaxial tension and immersed in tempered saline bath. The current study follows the previously published testing methodology but with a new totally redesigned testing apparatus allowing more credible and precise evaluation of arterial wall behaviour. The new results confirm most of previous findings focused on positivity/negativity of Poisson's ratio playing a crucial role in (in)validation aspects of some constitutive models widely used in recent computational vascular mechanics. The effect of frozen & thawed conditions is also evaluated in comparison with fresh specimens. The in-plane Poisson's ratio of arterial wall was identified in the range of 0.3-0.4, whereas its out-of-plane component is much higher ranging from 0.5 to 0.7. These results contrast with predictions of some frequently used constitutive models. The volumetric (in) compressibility of arterial specimens is also analyzed, quantified and discussed in the paper, as a key property of soft tissues closely related to the topic of their constitutive modelling.
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[klicova_slova] => Arterial wall mechanics; Poisson's ratio; Compressibility; Auxetic effect; DIC; Anisotropy
[klicova_slova_orig] => Arterial wall mechanics; Poisson's ratio; Compressibility; Auxetic effect; DIC; Anisotropy
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[citace_text] => SKÁCEL, P.; BURŠA, J. Poisson's ratio and compressibility of arterial wall-Improved experimental data reject auxetic behaviour. Journal of the Mechanical Behavior of Biomedical Materials, 2022, vol. 131, no. 131, p. 105229-1 (105229-11 p.)ISSN: 1751-6161.
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[popis] => In this paper, an algorithm for global path planning of nonholonomic unmanned ground vehicle (UGV), which moves through diverse terrain, is presented. The proposed algorithm utilizes a simplified dynamic model of the vehicle to verify the passability of a planned movement from node to node and to calculate the duration of this movement and the actual velocity of the vehicle in these nodes. The algorithm operates on a grid map that represents terrain elevation obtained from a triangular irregular network (TIN) map. This map was received from publicly available aerial laser scan data of a land surface in Central Europe. The final path is optimised from the point of view of travel time and respects the nonholonomic constraints of the UGV. This approach ensures that the obtained path is feasible, not only considering the geometric constraints of the vehicle but also its physical limits, i.e., maximum applied torque, maximum velocity, steering limit, etc.
[popis_orig] => In this paper, an algorithm for global path planning of nonholonomic unmanned ground vehicle (UGV), which moves through diverse terrain, is presented. The proposed algorithm utilizes a simplified dynamic model of the vehicle to verify the passability of a planned movement from node to node and to calculate the duration of this movement and the actual velocity of the vehicle in these nodes. The algorithm operates on a grid map that represents terrain elevation obtained from a triangular irregular network (TIN) map. This map was received from publicly available aerial laser scan data of a land surface in Central Europe. The final path is optimised from the point of view of travel time and respects the nonholonomic constraints of the UGV. This approach ensures that the obtained path is feasible, not only considering the geometric constraints of the vehicle but also its physical limits, i.e., maximum applied torque, maximum velocity, steering limit, etc.
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[citace_text] => ADÁMEK, R.; RAJCHL, M.; KŘIVÁNEK, V.; GREPL, R. A Design of a Global Path Planner for Nonholonomic Vehicle Based on Dynamic Simulations. In Modelling and Simulation for Autonomous Systems. Lecture Notes in Computer Science. 1. Virtual, Online: SPRINGER INTERNATIONAL PUBLISHING AG, 2022. p. 127-144. ISBN: 978-3-030-98260-7. ISSN: 1611-3349.
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title="A Design of a Global Path Planner for Nonholonomic Vehicle Based on Dynamic Simulations",
booktitle="Modelling and Simulation for Autonomous Systems",
year="2022",
series="1",
journal="Lecture Notes in Computer Science",
volume="13207",
pages="127--144",
publisher="SPRINGER INTERNATIONAL PUBLISHING AG",
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[nazev_en] => A Design of a Global Path Planner for Nonholonomic Vehicle Based on Dynamic Simulations
[popis_en] => In this paper, an algorithm for global path planning of nonholonomic unmanned ground vehicle (UGV), which moves through diverse terrain, is presented. The proposed algorithm utilizes a simplified dynamic model of the vehicle to verify the passability of a planned movement from node to node and to calculate the duration of this movement and the actual velocity of the vehicle in these nodes. The algorithm operates on a grid map that represents terrain elevation obtained from a triangular irregular network (TIN) map. This map was received from publicly available aerial laser scan data of a land surface in Central Europe. The final path is optimised from the point of view of travel time and respects the nonholonomic constraints of the UGV. This approach ensures that the obtained path is feasible, not only considering the geometric constraints of the vehicle but also its physical limits, i.e., maximum applied torque, maximum velocity, steering limit, etc.
[klicova_slova_en] => Global path panning; Nonholonomic vehicle; UGV; Elevation map; Hybrid A*
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)
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(
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[nazev] => Robotic Snap-fit Assembly with Success Identification Based on Force Feedback
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[duvernost_udaju_id] => S
[popis] => Snap-fit assembly is a standard method in manufacturing to join mainly plastic parts together without any additional processing. However, most of these assemblies are carried out by human workers as they are able to recognize whether the operation is executed correctly. This work aims to improve a robotic snap-fit assembly and replace humans in the process. It is achieved by force measuring using the sensor at the end of the robotic arm. For the purpose of the work, the custom made snap joint was designed in various variants. A set of features was established to enable the classification of obtained signals. The features were tested on a created dataset consisting of measured signals of the four primary cases that may occur during the assembly. This solution provides a possible expansion to create a framework with a selected classification algorithm for the autonomous classification of measured signals.
[popis_orig] => Snap-fit assembly is a standard method in manufacturing to join mainly plastic parts together without any additional processing. However, most of these assemblies are carried out by human workers as they are able to recognize whether the operation is executed correctly. This work aims to improve a robotic snap-fit assembly and replace humans in the process. It is achieved by force measuring using the sensor at the end of the robotic arm. For the purpose of the work, the custom made snap joint was designed in various variants. A set of features was established to enable the classification of obtained signals. The features were tested on a created dataset consisting of measured signals of the four primary cases that may occur during the assembly. This solution provides a possible expansion to create a framework with a selected classification algorithm for the autonomous classification of measured signals.
[klicova_slova] => Snap-fit assembly; Industrial robot; Force feedback; Classification
[klicova_slova_orig] => Snap-fit assembly; Industrial robot; Force feedback; Classification
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[vycet_osob] => RADIL, F.; ADÁMEK, R.; DOBOSSY, B.; KREJČÍ, P.
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[citace_text] => RADIL, F.; ADÁMEK, R.; DOBOSSY, B.; KREJČÍ, P. Robotic Snap-fit Assembly with Success Identification Based on Force Feedback. In Modelling and Simulation for Autonomous Systems. Lecture Notes in Computer Science. 1. Virtual, Online: SPRINGER INTERNATIONAL PUBLISHING AG, 2022. p. 145-157. ISBN: 978-3-030-98260-7. ISSN: 1611-3349.
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author="Filip {Radil} and Roman {Adámek} and Barnabás {Dobossy} and Petr {Krejčí}",
title="Robotic Snap-fit Assembly with Success Identification Based on Force Feedback",
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series="1",
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[popis_en] => Snap-fit assembly is a standard method in manufacturing to join mainly plastic parts together without any additional processing. However, most of these assemblies are carried out by human workers as they are able to recognize whether the operation is executed correctly. This work aims to improve a robotic snap-fit assembly and replace humans in the process. It is achieved by force measuring using the sensor at the end of the robotic arm. For the purpose of the work, the custom made snap joint was designed in various variants. A set of features was established to enable the classification of obtained signals. The features were tested on a created dataset consisting of measured signals of the four primary cases that may occur during the assembly. This solution provides a possible expansion to create a framework with a selected classification algorithm for the autonomous classification of measured signals.
[klicova_slova_en] => Snap-fit assembly; Industrial robot; Force feedback; Classification
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(
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[nazev] => Fault Detection and Identification on Pneumatic Production Machine
[nazev_orig] => Fault Detection and Identification on Pneumatic Production Machine
[duvernost_udaju_id] => S
[popis] => Pneumatic cylinders have become integral parts of today's production machinery. In the age of just-in-time inventory system and with it the related production process, new, increased requirements were introduced. As a result, even the smallest fault in the system can lead to degradation in the product's quality in addition to this it can cause unplanned downtime leading to delays in production, not to mention higher costs. The availability of cheap sensors, big data, and algorithms from the field of predictive maintenance made the aforementioned problem tractable. This paper examines whether signal-based condition indicators provide commercially viable and affordable basis for development of a health monitoring system for pneumatic actuator-based production machinery. The experiments and their results presented in this paper served two objectives. The first was to examine if faults on such equipment can be detected. The second was to identify the best combination of sensors, which are able to detect and identify fault with required accuracy. The evaluation of the sensors was not solely based on fault detection capabilities, but other practical aspects (price and durability of the sensors) were also taken into account.
[popis_orig] => Pneumatic cylinders have become integral parts of today's production machinery. In the age of just-in-time inventory system and with it the related production process, new, increased requirements were introduced. As a result, even the smallest fault in the system can lead to degradation in the product's quality in addition to this it can cause unplanned downtime leading to delays in production, not to mention higher costs. The availability of cheap sensors, big data, and algorithms from the field of predictive maintenance made the aforementioned problem tractable. This paper examines whether signal-based condition indicators provide commercially viable and affordable basis for development of a health monitoring system for pneumatic actuator-based production machinery. The experiments and their results presented in this paper served two objectives. The first was to examine if faults on such equipment can be detected. The second was to identify the best combination of sensors, which are able to detect and identify fault with required accuracy. The evaluation of the sensors was not solely based on fault detection capabilities, but other practical aspects (price and durability of the sensors) were also taken into account.
[klicova_slova] => Health monitoring; Fault detection and isolation; Pneumatic cylinder; Production machinery
[klicova_slova_orig] => Health monitoring; Fault detection and isolation; Pneumatic cylinder; Production machinery
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[citace_text] => DOBOSSY, B.; FORMÁNEK, M.; ŠTASTNÝ, P.; SPÁČIL, T. Fault Detection and Identification on Pneumatic Production Machine. In Modelling and Simulation for Autonomous Systems. Lecture Notes in Computer Science. 1. Virtual, Online: SPRINGER INTERNATIONAL PUBLISHING AG, 2022. p. 39-60. ISBN: 978-3-030-98260-7. ISSN: 1611-3349.
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author="Barnabás {Dobossy} and Martin {Formánek} and Petr {Štastný} and Tomáš {Spáčil}",
title="Fault Detection and Identification on Pneumatic Production Machine",
booktitle="Modelling and Simulation for Autonomous Systems",
year="2022",
series="1",
journal="Lecture Notes in Computer Science",
volume="13207",
pages="39--60",
publisher="SPRINGER INTERNATIONAL PUBLISHING AG",
address="Virtual, Online",
doi="10.1007/978-3-030-98260-7\{_}3",
isbn="978-3-030-98260-7",
url="https://www.scopus.com/record/display.uri?eid=2-s2.0-85128757643&origin=resultslist&sort=plf-f&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1"
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[nazev_en] => Fault Detection and Identification on Pneumatic Production Machine
[popis_en] => Pneumatic cylinders have become integral parts of today's production machinery. In the age of just-in-time inventory system and with it the related production process, new, increased requirements were introduced. As a result, even the smallest fault in the system can lead to degradation in the product's quality in addition to this it can cause unplanned downtime leading to delays in production, not to mention higher costs. The availability of cheap sensors, big data, and algorithms from the field of predictive maintenance made the aforementioned problem tractable. This paper examines whether signal-based condition indicators provide commercially viable and affordable basis for development of a health monitoring system for pneumatic actuator-based production machinery. The experiments and their results presented in this paper served two objectives. The first was to examine if faults on such equipment can be detected. The second was to identify the best combination of sensors, which are able to detect and identify fault with required accuracy. The evaluation of the sensors was not solely based on fault detection capabilities, but other practical aspects (price and durability of the sensors) were also taken into account.
[klicova_slova_en] => Health monitoring; Fault detection and isolation; Pneumatic cylinder; Production machinery
[vysledek_datum] => 2022-05-05T00:00:00+02:00
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(
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[nazev] => The discrepancy between the indentation curves obtained by the finite element method calculation with a Berkovich and a conical indenter
[nazev_orig] => The discrepancy between the indentation curves obtained by the finite element method calculation with a Berkovich and a conical indenter
[duvernost_udaju_id] => S
[popis] => Nanoindentation is an experimental technique used for the determination of Young modulus. The commonly used Oliver-Pharr analysis based on the assumption of the equivalence of indentation curves obtained with a Berkovich and a conical indenter is employed. Nevertheless, a break-down of this equivalence in projected area between the pyramidal and conical geometry was found. This discrepancy leads to an overestimation of Young modulus and needs to be corrected with coefficient β. It corrects the difference between Young modulus from the conical and the Berkovich indentation but cannot correct the indentation curves. This paper aims at the FEM study of modelling of the nanoindentation test, the influence of the Oliver-Pharr analysis assumptions, the comparison and unification of the different values of β for the Berkovich and the conical indentation with a rigid and a diamond indenter, the correction of the indentation curves, and the explanation of the differences between the FEM calculated and experimentally measured indentation curves.
[popis_orig] => Nanoindentation is an experimental technique used for the determination of Young modulus. The commonly used Oliver-Pharr analysis based on the assumption of the equivalence of indentation curves obtained with a Berkovich and a conical indenter is employed. Nevertheless, a break-down of this equivalence in projected area between the pyramidal and conical geometry was found. This discrepancy leads to an overestimation of Young modulus and needs to be corrected with coefficient β. It corrects the difference between Young modulus from the conical and the Berkovich indentation but cannot correct the indentation curves. This paper aims at the FEM study of modelling of the nanoindentation test, the influence of the Oliver-Pharr analysis assumptions, the comparison and unification of the different values of β for the Berkovich and the conical indentation with a rigid and a diamond indenter, the correction of the indentation curves, and the explanation of the differences between the FEM calculated and experimentally measured indentation curves.
[klicova_slova] => nanoindentation, computing, elastic properties, fused silica, Ni
[klicova_slova_orig] => nanoindentation, computing, elastic properties, fused silica, Ni
[url] => https://link.springer.com/article/10.1557/s43578-022-00574-6
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[citace_text] => KOVÁŘ, J.; FUIS, V.; ČTVRTLÍK, R.; TOMÁŠTÍK, J. The discrepancy between the indentation curves obtained by the finite element method calculation with a Berkovich and a conical indenter. JOURNAL OF MATERIALS RESEARCH, 2022, vol. 37, no. 10, p. 1750-1761. ISSN: 0884-2914.
[citace_html] => KOVÁŘ, J.; FUIS, V.; ČTVRTLÍK, R.; TOMÁŠTÍK, J. The discrepancy between the indentation curves obtained by the finite element method calculation with a Berkovich and a conical indenter. JOURNAL OF MATERIALS RESEARCH, 2022, vol. 37, no. 10, p. 1750-1761. ISSN: 0884-2914.
[citace_rtf] =>
[citace_bibtex] => @article{BUT177915,
author="Jaroslav {Kovář} and Vladimír {Fuis} and Radim {Čtvrtlík} and Jan {Tomáštík}",
title="The discrepancy between the indentation curves obtained by the finite element method calculation with a Berkovich and a conical indenter",
journal="JOURNAL OF MATERIALS RESEARCH",
year="2022",
volume="37",
number="10",
pages="1750--1761",
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[nazev_en] => The discrepancy between the indentation curves obtained by the finite element method calculation with a Berkovich and a conical indenter
[popis_en] => Nanoindentation is an experimental technique used for the determination of Young modulus. The commonly used Oliver-Pharr analysis based on the assumption of the equivalence of indentation curves obtained with a Berkovich and a conical indenter is employed. Nevertheless, a break-down of this equivalence in projected area between the pyramidal and conical geometry was found. This discrepancy leads to an overestimation of Young modulus and needs to be corrected with coefficient β. It corrects the difference between Young modulus from the conical and the Berkovich indentation but cannot correct the indentation curves. This paper aims at the FEM study of modelling of the nanoindentation test, the influence of the Oliver-Pharr analysis assumptions, the comparison and unification of the different values of β for the Berkovich and the conical indentation with a rigid and a diamond indenter, the correction of the indentation curves, and the explanation of the differences between the FEM calculated and experimentally measured indentation curves.
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[nazev] => Biomechanical analysis of all-polyethylene total knee arthroplasty on periprosthetic tibia using the finite element method
[nazev_orig] => Biomechanical analysis of all-polyethylene total knee arthroplasty on periprosthetic tibia using the finite element method
[duvernost_udaju_id] => S
[popis] => Background and objective: Total knee arthroplasty (TKA) with modern all-polyethylene tibial (APT) components has shown high long-term survival rates and comparable results to those with metal-backed tibial components. Nevertheless, APT components are primarily recommended for older and low-demand patients. There are no evidence-based biomechanical guidelines for orthopaedic surgeons to determine the appropriate lower age limit for implantation of APT components. A biomechanical analysis was assumed to be suitable to evaluate the clinical results in patients under 70 years. The scope of this study was to determine biomechanically the appropriate lower age limit for implantation of APT components.& nbsp;Methods: To generate data of the highest possible quality, the geometry of the computational models was created based on computed tomography (CT) images of a representative patient. The cortical bone tissue model distinguishes the change in mechanical properties described in three parts from the tibial cut. The cancellous bone material model has a heterogeneous distribution of mechanical properties. The values used to determine the material properties of the tissues were obtained from measurements of a CT dataset comprising 45 patients.& nbsp;Results: Computational modeling showed that in the majority of the periprosthetic volume, the von Mises strain equivalent ranges from 200 to 2700 its; these strain values induce bone modeling and remodeling. The highest measured deformation value was 2910 its. There was no significant difference in the induced mechanical response between bone models of the 60-year and 70-year age groups, and there was < 3% difference from the 65-year age group.& nbsp;Conclusions: Considering in silico limitations, we suggest that APT components could be conveniently used on a bone with mechanical properties of the examined age categories. Under defined loading conditions, implantation of TKA with APT components is expected to induce modeling and remodeling of the periprosthetic tibia. Following clinical validation, the results of our study could modify the indication criteria of the procedure, and lead to more frequent implantation of all-polyethylene TKA in younger patients. (c) 2022 The Authors. Published by Elsevier B.V.& nbsp;
[popis_orig] => Background and objective: Total knee arthroplasty (TKA) with modern all-polyethylene tibial (APT) components has shown high long-term survival rates and comparable results to those with metal-backed tibial components. Nevertheless, APT components are primarily recommended for older and low-demand patients. There are no evidence-based biomechanical guidelines for orthopaedic surgeons to determine the appropriate lower age limit for implantation of APT components. A biomechanical analysis was assumed to be suitable to evaluate the clinical results in patients under 70 years. The scope of this study was to determine biomechanically the appropriate lower age limit for implantation of APT components.& nbsp;Methods: To generate data of the highest possible quality, the geometry of the computational models was created based on computed tomography (CT) images of a representative patient. The cortical bone tissue model distinguishes the change in mechanical properties described in three parts from the tibial cut. The cancellous bone material model has a heterogeneous distribution of mechanical properties. The values used to determine the material properties of the tissues were obtained from measurements of a CT dataset comprising 45 patients.& nbsp;Results: Computational modeling showed that in the majority of the periprosthetic volume, the von Mises strain equivalent ranges from 200 to 2700 its; these strain values induce bone modeling and remodeling. The highest measured deformation value was 2910 its. There was no significant difference in the induced mechanical response between bone models of the 60-year and 70-year age groups, and there was < 3% difference from the 65-year age group.& nbsp;Conclusions: Considering in silico limitations, we suggest that APT components could be conveniently used on a bone with mechanical properties of the examined age categories. Under defined loading conditions, implantation of TKA with APT components is expected to induce modeling and remodeling of the periprosthetic tibia. Following clinical validation, the results of our study could modify the indication criteria of the procedure, and lead to more frequent implantation of all-polyethylene TKA in younger patients. (c) 2022 The Authors. Published by Elsevier B.V.& nbsp;
[klicova_slova] => Orthopaedic biomechanics; Total knee arthroplasty; Bone mechanics; All-polyethylene tibial component; Finite element model; von Mises strain
[klicova_slova_orig] => Orthopaedic biomechanics; Total knee arthroplasty; Bone mechanics; All-polyethylene tibial component; Finite element model; von Mises strain
[url] => https://www.sciencedirect.com/science/article/pii/S0169260722002164
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[vycet_osob] => APOSTOLOPOULOS, V.; TOMÁŠ, T.; BOHÁČ, P.; MARCIÁN, P.; MAHDAL, M.; VALOUŠEK, T.; JANÍČEK, P.; NACHTNEBL, L.
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[citace_text] => APOSTOLOPOULOS, V.; TOMÁŠ, T.; BOHÁČ, P.; MARCIÁN, P.; MAHDAL, M.; VALOUŠEK, T.; JANÍČEK, P.; NACHTNEBL, L. Biomechanical analysis of all-polyethylene total knee arthroplasty on periprosthetic tibia using the finite element method. Computer Methods and Programs in Biomedicine, 2022, vol. 220, no. 1, p. 1-9. ISSN: 0169-2607.
[citace_html] => APOSTOLOPOULOS, V.; TOMÁŠ, T.; BOHÁČ, P.; MARCIÁN, P.; MAHDAL, M.; VALOUŠEK, T.; JANÍČEK, P.; NACHTNEBL, L. Biomechanical analysis of all-polyethylene total knee arthroplasty on periprosthetic tibia using the finite element method. Computer Methods and Programs in Biomedicine, 2022, vol. 220, no. 1, p. 1-9. ISSN: 0169-2607.
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author="Vasileios {Apostolopoulos} and Tomáš {Tomáš} and Petr {Boháč} and Petr {Marcián} and Michal {Mahdal} and Tomáš {Valoušek} and Pavel {Janíček} and Luboš {Nachtnebl}",
title="Biomechanical analysis of all-polyethylene total knee arthroplasty on periprosthetic tibia using the finite element method",
journal="Computer Methods and Programs in Biomedicine",
year="2022",
volume="220",
number="1",
pages="1--9",
doi="10.1016/j.cmpb.2022.106834",
issn="0169-2607",
url="https://www.sciencedirect.com/science/article/pii/S0169260722002164"
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[nazev_en] => Biomechanical analysis of all-polyethylene total knee arthroplasty on periprosthetic tibia using the finite element method
[popis_en] => Background and objective: Total knee arthroplasty (TKA) with modern all-polyethylene tibial (APT) components has shown high long-term survival rates and comparable results to those with metal-backed tibial components. Nevertheless, APT components are primarily recommended for older and low-demand patients. There are no evidence-based biomechanical guidelines for orthopaedic surgeons to determine the appropriate lower age limit for implantation of APT components. A biomechanical analysis was assumed to be suitable to evaluate the clinical results in patients under 70 years. The scope of this study was to determine biomechanically the appropriate lower age limit for implantation of APT components.& nbsp;Methods: To generate data of the highest possible quality, the geometry of the computational models was created based on computed tomography (CT) images of a representative patient. The cortical bone tissue model distinguishes the change in mechanical properties described in three parts from the tibial cut. The cancellous bone material model has a heterogeneous distribution of mechanical properties. The values used to determine the material properties of the tissues were obtained from measurements of a CT dataset comprising 45 patients.& nbsp;Results: Computational modeling showed that in the majority of the periprosthetic volume, the von Mises strain equivalent ranges from 200 to 2700 its; these strain values induce bone modeling and remodeling. The highest measured deformation value was 2910 its. There was no significant difference in the induced mechanical response between bone models of the 60-year and 70-year age groups, and there was < 3% difference from the 65-year age group.& nbsp;Conclusions: Considering in silico limitations, we suggest that APT components could be conveniently used on a bone with mechanical properties of the examined age categories. Under defined loading conditions, implantation of TKA with APT components is expected to induce modeling and remodeling of the periprosthetic tibia. Following clinical validation, the results of our study could modify the indication criteria of the procedure, and lead to more frequent implantation of all-polyethylene TKA in younger patients. (c) 2022 The Authors. Published by Elsevier B.V.& nbsp;
[klicova_slova_en] => Orthopaedic biomechanics; Total knee arthroplasty; Bone mechanics; All-polyethylene tibial component; Finite element model; von Mises strain
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[nazev] => Control of Magnetic Manipulator Using Reinforcement Learning Based on Incrementally Adapted Local Linear Models
[nazev_orig] => Control of Magnetic Manipulator Using Reinforcement Learning Based on Incrementally Adapted Local Linear Models
[duvernost_udaju_id] => S
[popis] => Reinforcement learning (RL) agents can learn to control a nonlinear system without using a model of the system. However, having a model brings benefits, mainly in terms of a reduced number of unsuccessful trials before achieving acceptable control performance. Several modelling approaches have been used in the RL domain, such as neural networks, local linear regression, or Gaussian processes. In this article, we focus on techniques that have not been used much so far: symbolic regression (SR), based on genetic programming and local modelling. Using measured data, symbolic regression yields a nonlinear, continuous-time analytic model. We benchmark two state-of-the-art methods, SNGP (single-node genetic programming) and MGGP (multigene genetic programming), against a standard incremental local regression method called RFWR (receptive field weighted regression). We have introduced modifications to the RFWR algorithm to better suit the low-dimensional continuous-time systems we are mostly dealing with. The benchmark is a nonlinear, dynamic magnetic manipulation system. The results show that using the RL framework and a suitable approximation method, it is possible to design a stable controller of such a complex system without the necessity of any haphazard learning. While all of the approximation methods were successful, MGGP achieved the best results at the cost of higher computational complexity. Index Terms-AI-based methods, local linear regression, nonlinear systems, magnetic manipulation, model learning for control, optimal control, reinforcement learning, symbolic regression.
[popis_orig] => Reinforcement learning (RL) agents can learn to control a nonlinear system without using a model of the system. However, having a model brings benefits, mainly in terms of a reduced number of unsuccessful trials before achieving acceptable control performance. Several modelling approaches have been used in the RL domain, such as neural networks, local linear regression, or Gaussian processes. In this article, we focus on techniques that have not been used much so far: symbolic regression (SR), based on genetic programming and local modelling. Using measured data, symbolic regression yields a nonlinear, continuous-time analytic model. We benchmark two state-of-the-art methods, SNGP (single-node genetic programming) and MGGP (multigene genetic programming), against a standard incremental local regression method called RFWR (receptive field weighted regression). We have introduced modifications to the RFWR algorithm to better suit the low-dimensional continuous-time systems we are mostly dealing with. The benchmark is a nonlinear, dynamic magnetic manipulation system. The results show that using the RL framework and a suitable approximation method, it is possible to design a stable controller of such a complex system without the necessity of any haphazard learning. While all of the approximation methods were successful, MGGP achieved the best results at the cost of higher computational complexity. Index Terms-AI-based methods, local linear regression, nonlinear systems, magnetic manipulation, model learning for control, optimal control, reinforcement learning, symbolic regression.
[klicova_slova] => Approximation theory; Complex networks; Continuous time systems; Genetic algorithms; Genetic programming; Magnetism; Manipulators; Nonlinear systems; Approximation methods; Local linear models; Local linear regression; Magnetic manipulation; Magnetic manipulators; Multi-gene genetic programming; Receptive fields; Reinforcement learning; Symbolic regression; Weighted regression;
[klicova_slova_orig] => Approximation theory; Complex networks; Continuous time systems; Genetic algorithms; Genetic programming; Magnetism; Manipulators; Nonlinear systems; Approximation methods; Local linear models; Local linear regression; Magnetic manipulation; Magnetic manipulators; Multi-gene genetic programming; Receptive fields; Reinforcement learning; Symbolic regression; Weighted regression;
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[citace_text] => BRABLC, M.; ŽEGKLITZ, J.; GREPL, R.; BABUŠKA, R. Control of Magnetic Manipulator Using Reinforcement Learning Based on Incrementally Adapted Local Linear Models. COMPLEXITY, 2021, vol. 2021, no. 1, p. 1-12. ISSN: 1076-2787.
[citace_html] => BRABLC, M.; ŽEGKLITZ, J.; GREPL, R.; BABUŠKA, R. Control of Magnetic Manipulator Using Reinforcement Learning Based on Incrementally Adapted Local Linear Models. COMPLEXITY, 2021, vol. 2021, no. 1, p. 1-12. ISSN: 1076-2787.
[citace_rtf] =>
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author="Martin {Brablc} and Jan {Žegklitz} and Robert {Grepl} and Robert {Babuška}",
title="Control of Magnetic Manipulator Using Reinforcement Learning Based on Incrementally Adapted Local Linear Models",
journal="COMPLEXITY",
year="2021",
volume="2021",
number="1",
pages="1--12",
doi="10.1155/2021/6617309",
issn="1076-2787",
url="https://www.hindawi.com/journals/complexity/2021/6617309/"
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[nazev_en] => Control of Magnetic Manipulator Using Reinforcement Learning Based on Incrementally Adapted Local Linear Models
[popis_en] => Reinforcement learning (RL) agents can learn to control a nonlinear system without using a model of the system. However, having a model brings benefits, mainly in terms of a reduced number of unsuccessful trials before achieving acceptable control performance. Several modelling approaches have been used in the RL domain, such as neural networks, local linear regression, or Gaussian processes. In this article, we focus on techniques that have not been used much so far: symbolic regression (SR), based on genetic programming and local modelling. Using measured data, symbolic regression yields a nonlinear, continuous-time analytic model. We benchmark two state-of-the-art methods, SNGP (single-node genetic programming) and MGGP (multigene genetic programming), against a standard incremental local regression method called RFWR (receptive field weighted regression). We have introduced modifications to the RFWR algorithm to better suit the low-dimensional continuous-time systems we are mostly dealing with. The benchmark is a nonlinear, dynamic magnetic manipulation system. The results show that using the RL framework and a suitable approximation method, it is possible to design a stable controller of such a complex system without the necessity of any haphazard learning. While all of the approximation methods were successful, MGGP achieved the best results at the cost of higher computational complexity. Index Terms-AI-based methods, local linear regression, nonlinear systems, magnetic manipulation, model learning for control, optimal control, reinforcement learning, symbolic regression.
[klicova_slova_en] => Approximation theory; Complex networks; Continuous time systems; Genetic algorithms; Genetic programming; Magnetism; Manipulators; Nonlinear systems; Approximation methods; Local linear models; Local linear regression; Magnetic manipulation; Magnetic manipulators; Multi-gene genetic programming; Receptive fields; Reinforcement learning; Symbolic regression; Weighted regression;
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[title] => Design of plastic pipes considering content of recycled material
[typ] => PV
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[title] => Control of Magnetic Manipulator Using Reinforcement Learning Based on Incrementally Adapted Local Linear Models
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[year] => 2021
[id_vav] => 178291
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