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31 pages, 2410 KB  
Article
Spatial Distribution and Radiological Risk Assessment of Natural Radionuclides in Soils from Zacatecas, Mexico
by Daniel Hernández-Ramírez, Carlos Ríos-Martínez, José Luis Pinedo-Vega, Fernando Mireles-García, Fernando De la Torre Aguilar and Edmundo Escareño-Juárez
Analytica 2025, 6(2), 20; https://doi.org/10.3390/analytica6020020 - 25 May 2025
Viewed by 929
Abstract
This study investigated the spatial distribution and radiological risks of naturally occurring radionuclides (226Ra, 232Th, 40K) in 37 soil samples from Zacatecas, located in north-central Mexico, using high-resolution gamma spectrometry. Results revealed 40K concentrations (mean: 736.81 Bq kg [...] Read more.
This study investigated the spatial distribution and radiological risks of naturally occurring radionuclides (226Ra, 232Th, 40K) in 37 soil samples from Zacatecas, located in north-central Mexico, using high-resolution gamma spectrometry. Results revealed 40K concentrations (mean: 736.81 Bq kg−1), nearly double the global average, while 226Ra (29.96 Bq kg−1) and 232Th (29.72 Bq kg−1) aligned with worldwide norms. Geoaccumulation indices identified moderate 40K accumulation at 22 sites, with El Capulín classified as moderately contaminated (Igeo = 1.07). Radiological risk indices showed absorbed dose rates (62.52 nGy h−1) and excess lifetime cancer risk (0.330 × 10−3) exceeding global thresholds by 4% and 14%, respectively. Multivariate analyses demonstrated strong Spearman correlations (ρ = 0.75–1.00) among risk indices, while spatial interpolation identified southern/western regions as high-risk zones. These findings emphasize the necessity of integrating spatial analysis with multivariate statistical techniques in environmental radioprotection frameworks. While most of the study area complies with international safety standards, the identified zones exceeding dose thresholds warrant prioritized management to mitigate potential cumulative health risks. Full article
(This article belongs to the Section Spectroscopy)
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20 pages, 3731 KB  
Article
Fuzzy Clustering with Uninorm-Based Distance Measure
by Evgeny Kagan, Alexander Novoselsky and Alexander Rybalov
Mathematics 2025, 13(10), 1661; https://doi.org/10.3390/math13101661 - 19 May 2025
Viewed by 553
Abstract
In this paper, we suggest an algorithm of fuzzy clustering with a uninorm-based distance measure. The algorithm follows a general scheme of fuzzy c-means (FCM) clustering, but in contrast to the existing algorithm, it implements logical distance between data instances. The centers [...] Read more.
In this paper, we suggest an algorithm of fuzzy clustering with a uninorm-based distance measure. The algorithm follows a general scheme of fuzzy c-means (FCM) clustering, but in contrast to the existing algorithm, it implements logical distance between data instances. The centers of the clusters calculated by the algorithm are less dispersed and are concentrated in the areas of the actual centers of the clusters that result in the more accurate recognition of the number of clusters and of data structure. Full article
(This article belongs to the Special Issue Advances in Multi-Criteria Decision Making Methods with Applications)
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34 pages, 808 KB  
Article
Explicit P1 Finite Element Solution of the Maxwell-Wave Equation Coupling Problem with Absorbing b. c.
by Larisa Beilina and Vitoriano Ruas
Mathematics 2024, 12(7), 936; https://doi.org/10.3390/math12070936 - 22 Mar 2024
Viewed by 1294
Abstract
In this paper, we address the approximation of the coupling problem for the wave equation and Maxwell’s equations of electromagnetism in the time domain in terms of electric field by means of a nodal linear finite element discretization in space, combined with a [...] Read more.
In this paper, we address the approximation of the coupling problem for the wave equation and Maxwell’s equations of electromagnetism in the time domain in terms of electric field by means of a nodal linear finite element discretization in space, combined with a classical explicit finite difference scheme for time discretization. Our study applies to a particular case where the dielectric permittivity has a constant value outside a subdomain, whose closure does not intersect the boundary of the domain where the problem is defined. Inside this subdomain, Maxwell’s equations hold. Outside this subdomain, the wave equation holds, which may correspond to Maxwell’s equations with a constant permittivity under certain conditions. We consider as a model the case of first-order absorbing boundary conditions. First-order error estimates are proven in the sense of two norms involving first-order time and space derivatives under reasonable assumptions, among which lies a CFL condition for hyperbolic equations. The theoretical estimates are validated by numerical computations, which also show that the scheme is globally of the second order in the maximum norm in time and in the least-squares norm in space. Full article
(This article belongs to the Special Issue Computational Mathematics and Numerical Analysis)
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15 pages, 5193 KB  
Article
Dynamic Response Measurement and Finite Element Analysis of Large-Span Pedestrian Corridor
by Zhen Xie and Yongshan Zhang
Buildings 2023, 13(11), 2857; https://doi.org/10.3390/buildings13112857 - 15 Nov 2023
Cited by 2 | Viewed by 1187
Abstract
The natural frequency of the long-span steel structure corridor is close to the pedestrian step frequency, which makes it very easy to cause resonance. This paper aims to study crowd-induced vibration control of long-span steel pedestrian corridors with different dynamic characteristics by combining [...] Read more.
The natural frequency of the long-span steel structure corridor is close to the pedestrian step frequency, which makes it very easy to cause resonance. This paper aims to study crowd-induced vibration control of long-span steel pedestrian corridors with different dynamic characteristics by combining methods of site measurement and numerical simulation. First, based on the steel structure corridor project of a multi-tower structure, the field modal test and the acceleration response under pedestrian load excitation are measured, and the dynamic characteristics and acceleration response under different frequency pedestrian loads are studied. Then, the finite element model of the large-span corridor is established, and the results of the measured and numerical simulation are compared and analyzed. Finally, with the relevant norms, a reasonable evaluation of pedestrian comfort is carried out. The results show that this paper’s measured and finite element results have a certain accuracy. The damping characteristics of humans can absorb the vibration energy of the structure to reduce the vibration acceleration of the structure, and the results are conservative when human action is not considered. After installing the TMD system, the acceleration response of the corridor is significantly reduced, and the vibration reduction effect reaches 54%, which meets the comfort control requirements of the large-span corridor under pedestrian load excitation. The research results and methods in this paper can have particular engineering practical values for carrying out field measurements and comfort control in similar projects and provide a reference for engineering designers. Full article
(This article belongs to the Section Building Structures)
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17 pages, 5016 KB  
Article
Non-Commutative Logic for Collective Decision-Making with Perception Bias
by Evgeny Kagan, Alexander Novoselsky, Daria Ramon and Alexander Rybalov
Robotics 2023, 12(3), 76; https://doi.org/10.3390/robotics12030076 - 22 May 2023
Cited by 3 | Viewed by 2186
Abstract
In this paper, we suggest an implementation of non-commutative logic and apply its operators for decision-making in a group of autonomous agents. The suggested operators extend the uninorm and absorbing norm aggregators and use an additional asymmetry parameter that defines the “level of [...] Read more.
In this paper, we suggest an implementation of non-commutative logic and apply its operators for decision-making in a group of autonomous agents. The suggested operators extend the uninorm and absorbing norm aggregators and use an additional asymmetry parameter that defines the “level of non-commutativity”. The value of this parameter is specified using the perception bias of humans measured in the experiments. The suggested operators and decision-making method are illustrated by the simulated behavior of mobile robots in the group, which verified the possibility of processing systematic sensing errors, as well as of distinguishing and mimicking the biased decisions. Full article
(This article belongs to the Special Issue Multi-robot Systems: State of the Art and Future Progress)
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14 pages, 2309 KB  
Article
Parameters of Concrete Modified with Micronized Chalcedonite
by Anna Kotwa, Piotr Ramiączek, Paulina Bąk-Patyna and Robert Kowalik
Materials 2023, 16(9), 3602; https://doi.org/10.3390/ma16093602 - 8 May 2023
Cited by 5 | Viewed by 1641
Abstract
The PN-EN 197-1:2012 standard allows the use of additives as the main component above 5.0% by mass, as well as as a secondary component in an amount less than 5.0% by mass of cement. Proper selection of additives positively affects the rheological characteristics [...] Read more.
The PN-EN 197-1:2012 standard allows the use of additives as the main component above 5.0% by mass, as well as as a secondary component in an amount less than 5.0% by mass of cement. Proper selection of additives positively affects the rheological characteristics and hardened concrete parameters during longer maturity periods. Additives have already become an integral component of concrete mixes. The aim of the research is to confirm the possibility of using the tested additive in the composition of concrete mixes in an amount of 15% relative to the amount of cement, which would solve the problem of storing and utilizing waste generated during the production of broken chalcedonite aggregates. The planned laboratory tests were carried out for concrete of three classes, C30/37, C35/45, C40/50, according to the PN-EN 206+A1:2016-2 standard, with the addition of chalcedonite dust in a constant amount of 15% relative to cement, and three series without additives as control series. The additive used for concrete mixes was chalcedonite dust with a diameter below 72 μm. It is waste from a broken aggregate mine. The research program included rheological tests of fresh concrete mix, i.e., air content, consistency, bulk density, as well as parameters of hardened concrete mix—compressive strength, absorbability, and capillary uptake. Compressive strength was tested after 7, 14, 28, 56, and 90 days. The laboratory tests aimed to verify whether the addition of 15% chalcedonite dust additive would not worsen the predicted hardened concrete parameters resulting from the designed concrete classes. All three tested series, C30/37, C35/45, and C40/50, with the addition of 15% chalcedonite dust relative to the amount of cement, achieved the assumed strength classes after 28 days of maturation. Concrete mix components were correctly designed. The addition of chalcedonite dust to the concrete mix did not cause a decrease in compressive strength to the extent that the analyzed series did not meet the normative requirements for concrete classes according to the PN-EN 206+A1:2014 standard. The results of absorbability testing indicate water absorption below 5%, while the increase in sample mass in the capillary uptake test gained similar values. Full article
(This article belongs to the Special Issue Durability Studies on the Concrete and Related Composites)
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29 pages, 809 KB  
Article
A Novel Linguistic Interval-Valued Pythagorean Fuzzy Multi-Attribute Group Decision-Making for Sustainable Building Materials Selection
by Yang Zhou and Guangmin Yang
Sustainability 2023, 15(1), 106; https://doi.org/10.3390/su15010106 - 21 Dec 2022
Cited by 4 | Viewed by 1678
Abstract
The linguistic interval-valued Pythagorean fuzzy (LIVPF) sets, which absorb the advantages of linguistic terms set and interval-valued Pythagorean fuzzy sets, can efficiently describe decision makers’ evaluation information in multi-attribute group decision-making (MAGDM) problems. When investigating aggregation operators of linguistic interval-valued Pythagorean fuzzy (LIVPF) [...] Read more.
The linguistic interval-valued Pythagorean fuzzy (LIVPF) sets, which absorb the advantages of linguistic terms set and interval-valued Pythagorean fuzzy sets, can efficiently describe decision makers’ evaluation information in multi-attribute group decision-making (MAGDM) problems. When investigating aggregation operators of linguistic interval-valued Pythagorean fuzzy (LIVPF) information, we have to consider two important issues, viz. the operational rules of LIVPF numbers and aggregation functions. The classical Archimedean t-norm and t-conorm (ATT) are a famous t-norm and t-conorm, which can produce some special cases. Recently, ATT has been widely applied in different fuzzy decision-making information. Hence, in this paper, for the first issue, we propose some novel operational rules of LIVPF numbers based on ATT. The new operational laws are flexible and can generate some useful operations. For the second issue, we choose a powerful function, i.e., the extended power average (EPA) operator as the aggregation function. The prominent advantages of EPA are that it not only considers the relationship among input arguments, but also dynamically changes the weights of input arguments by employing a parameter. Hence, our proposed novel aggregation operators for LIVPFNs are flexible and is suitable to handle MAGDM problems in actual life. Afterward, we further present a novel MAGDM method under LIVPF conditions. The main finding of our study is a new MAGDM method, which is more powerful and flexible than existing ones. Finally, we apply the method in a sustainable building materials selection to show its effectiveness. Additionally, comparison analysis is provided to demonstrate the advantages and superiorities of the proposed method. Full article
(This article belongs to the Special Issue Sustainable Decision Making in Civil and Construction Engineering)
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19 pages, 7665 KB  
Article
A Geological Context in Radiation Risk Assessment to the Public
by Filip Jędrzejek, Katarzyna Szarłowicz and Marcin Stobiński
Int. J. Environ. Res. Public Health 2022, 19(18), 11750; https://doi.org/10.3390/ijerph191811750 - 17 Sep 2022
Cited by 11 | Viewed by 2196
Abstract
The work aimed to show the applicability of geological studies to the investigation of radiation risk assessment due to the presence of naturally occurring radionuclides of terrestrial origin in the soil. Soil samples were taken from a Tatra Mountains area for which geological [...] Read more.
The work aimed to show the applicability of geological studies to the investigation of radiation risk assessment due to the presence of naturally occurring radionuclides of terrestrial origin in the soil. Soil samples were taken from a Tatra Mountains area for which geological maps were available. The concentration of selected radionuclides incl. 40K, 238U and 232Th was determined by gamma-ray spectrometry with a HPGe-detector. Radioactivities and calculated absorbed dose rates were co-related to complex bedrock matrices based on an original methodology. The correlations were proved by performing a Principal Component Analysis (PCA). The rocks that had a significant impact on the rate of absorbed dose from the soil were strongly related to the radioactivity of the uranium series. The share of the following fractions was the most significant: granite with pegmatite, gneiss, granitoid and gneiss, coquina, marl and glauconite, hard limestone, dolomite and limestone. The rock types additionally showed good correlation with radioisotopes from the thorium series. Granitoids with potassium feldspar, on the other hand, contributed the largest share of 40K radioisotope content. Full article
(This article belongs to the Section Environmental Earth Science and Medical Geology)
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13 pages, 1762 KB  
Article
Determination of the Expected Value of Losses Caused by the Cargo Transportation Insurance Risks by Water Transport
by Sergiy Kotenko, Svitlana Ilchenko, Valeriia Kasianova, Vitalii Diakov, Svitlana Mashkantseva and Vitalii Nitsenko
Inventions 2022, 7(3), 81; https://doi.org/10.3390/inventions7030081 - 12 Sep 2022
Cited by 9 | Viewed by 3035
Abstract
The purpose of this study was mathematical model development for assessing the cost of losses from risks in the maritime transportation of goods that are dynamic in nature, and developing a methodical approach to the dynamic costs assessment for each of the risks [...] Read more.
The purpose of this study was mathematical model development for assessing the cost of losses from risks in the maritime transportation of goods that are dynamic in nature, and developing a methodical approach to the dynamic costs assessment for each of the risks separately and integral costs for all risks and ensuring the fulfillment of the requirement to anticipate the insurance cost changes over the rate of change of the transportation integral risk (or its stage). The risks factor analysis in water transport, their classification and determination of the type and nature of their impact on sea transportation of goods were carried out. The groups of risk factors that lead to emergency situations for water transport in Ukraine were studied by comparing the data of 2019 and 2021 and determining their share in the total number of accidents before the start of the active phase of hostilities in Ukraine; the rates of their change were analyzed. This made it possible to develop a systematic assessment algorithm for the dependence of the expected and actual value of losses on risks and to create a mathematical approach to risks forecasting as a factor influencing the cost of expenses. As a result of the study, a methodical approach to forecasting the cost of losses from risks was formed for each of their types. However, the main attention was paid to the identification and assessment of dynamic risks, the impact of which has an absorbing nature relative to all others in their totality. Such risks in the waters of the Black and Azov seas today mainly include risks associated with the conduct of military operations, including such operations that go against international legal norms. Full article
(This article belongs to the Special Issue Low-Cost Inventions and Patents: Series II)
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14 pages, 926 KB  
Article
Energy-Aware Model Predictive Control of Assembly Lines
by Francesco Liberati, Chiara Maria Francesca Cirino and Andrea Tortorelli
Actuators 2022, 11(6), 172; https://doi.org/10.3390/act11060172 - 20 Jun 2022
Cited by 2 | Viewed by 3146
Abstract
This paper presents a model predictive approach to the energy-aware control of tasks’ execution in an assembly line. The proposed algorithm takes into account both the need for optimizing the assembly line operations (in terms of the minimization of the total cycle time) [...] Read more.
This paper presents a model predictive approach to the energy-aware control of tasks’ execution in an assembly line. The proposed algorithm takes into account both the need for optimizing the assembly line operations (in terms of the minimization of the total cycle time) and that of optimizing the energy consumption deriving from the operations, by exploiting the flexibility added by the presence of a local source of renewable energy (a common scenario of industries that are often equipped, e.g., with photovoltaic plants) and, possibly, also exploiting an energy storage plant. The energy-related objectives we take into account refer to the minimization of the energy bill and the minimization of the peaks in the power injected and absorbed from the grid (which is desirable also from the perspective of the network operator). We propose a mixed-integer linear formulation of the optimization problem, through the use of H-infinite norms, instead of the quadratic ones. Simulation results show the effectiveness of the proposed algorithm in finding a trade-off that allows keeping at a minimum the cycle time, while saving on the energy bill and reducing peak powers. Full article
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23 pages, 8349 KB  
Review
Review and Analysis of Technical Designs of Rear Underrun Protective Devices (RUPDs) in Terms of Regulatory Compliance
by Mirosław Gidlewski, Jerzy Jackowski and Paweł Posuniak
Sensors 2022, 22(7), 2645; https://doi.org/10.3390/s22072645 - 30 Mar 2022
Cited by 7 | Viewed by 6668
Abstract
The Rear Underrun Protective Device (RUPD) is a basic means to prevent a passenger car from running under the rear of a motor truck (also referred to as heavy goods vehicle or HGV) or a trailer in the case of a rear-end collision [...] Read more.
The Rear Underrun Protective Device (RUPD) is a basic means to prevent a passenger car from running under the rear of a motor truck (also referred to as heavy goods vehicle or HGV) or a trailer in the case of a rear-end collision and thus to reduce deformations of the car’s passenger compartment (“survival space”). In many publications dealing with such devices, the increasing of RUPD stiffness by applying innovative design solutions or using high-strength materials has been considered; in some designs, additional RUPD components are introduced to absorb the impact energy. In this paper, a review of the RUPD designs is presented and some of them are analyzed, where their characteristics that are essential for the compliance with normative market requirements are indicated. Results of the authors’ research on the selection of an energy absorber incorporated in the rear impact guard bar of an HGV are presented as well. Full article
(This article belongs to the Special Issue Sensors and Systems for Automotive and Road Safety)
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19 pages, 25331 KB  
Article
Selecting Key Resilience Indicators for Indigenous Community Using Fuzzy Delphi Method
by Yung-Ping Tseng, Yu-Chin Huang, Mei-Syuan Li and You-Zih Jiang
Sustainability 2022, 14(4), 2018; https://doi.org/10.3390/su14042018 - 10 Feb 2022
Cited by 10 | Viewed by 3421
Abstract
Resilience is the concept that emphasizes change and adaptation and focuses on the capacity to absorb shocks and still maintain function. How can an Indigenous community assess the resilience of the tribe when it is affected by an array of obstacles? What are [...] Read more.
Resilience is the concept that emphasizes change and adaptation and focuses on the capacity to absorb shocks and still maintain function. How can an Indigenous community assess the resilience of the tribe when it is affected by an array of obstacles? What are the assessment factors of resilience? This study consolidated relevant literature on resilience through in-depth interviews and the Fuzzy Delphi Method (FDM) to identify the resilience indicators for Indigenous community development. It eventually identified 5 domains, 26 types, and 45 evaluation indicators. The final indicators are divided into five domains: economic, social, cultural, environmental, and policy. The social resilience indicators: “the ability to overcome obstacles”, “the ability to accept stimuli”, and “the degree of connection between tribal and external resources” were not mentioned in the past studies of resilience. For the first time, the following cultural resilience indicator was also included: “maintain the traditional ancestral teachings and respect for ancestral norms”. Finally, this study suggests that follow-up research may extend these resilience indicators and apply them to other Indigenous tribes. These 26 types of assessment will also be the factors that must be considered in the process of adaptation and reconstruction when the community is faced with emergencies or catastrophes. Full article
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19 pages, 341 KB  
Article
Making Sense of Resilience
by Jose Carlos Cañizares, Samantha Marie Copeland and Neelke Doorn
Sustainability 2021, 13(15), 8538; https://doi.org/10.3390/su13158538 - 30 Jul 2021
Cited by 21 | Viewed by 5637
Abstract
While resilience is a major concept in development, climate adaptation, and related domains, many doubts remain about how to interpret this term, its relationship with closely overlapping terms, or its normativity. One major view is that, while resilience originally was a descriptive concept [...] Read more.
While resilience is a major concept in development, climate adaptation, and related domains, many doubts remain about how to interpret this term, its relationship with closely overlapping terms, or its normativity. One major view is that, while resilience originally was a descriptive concept denoting some adaptive property of ecosystems, subsequent applications to social contexts distorted its meaning and purpose by framing it as a transformative and normative quality. This article advances an alternative philosophical account based on the scrutiny of C.S. Holling’s original work on resilience. We show that resilience had a central role among Holling’s proposals for reforming environmental science and management, and that Holling framed resilience as an ecosystem’s capacity of absorbing change and exploiting it for adapting or evolving, but also as the social ability of maintaining and opportunistically exploiting that natural capacity. Resilience therefore appears as a transformative social-ecological property that is normative in three ways: as an intrinsic ecological value, as a virtue of organizations or management styles, and as a virtuous understanding of human–nature relations. This interpretation accounts for the practical relevance of resilience, clarifies the relations between resilience and related terms, and is a firm ground for further normative work on resilience. Full article
(This article belongs to the Special Issue Ethics of Climate Adaptation)
17 pages, 336 KB  
Article
Regularity in Topological Modules
by Francisco Javier Garcia-Pacheco
Mathematics 2020, 8(9), 1580; https://doi.org/10.3390/math8091580 - 13 Sep 2020
Cited by 9 | Viewed by 2128
Abstract
The framework of Functional Analysis is the theory of topological vector spaces over the real or complex field. The natural generalization of these objects are the topological modules over topological rings. Weakening the classical Functional Analysis results towards the scope of topological modules [...] Read more.
The framework of Functional Analysis is the theory of topological vector spaces over the real or complex field. The natural generalization of these objects are the topological modules over topological rings. Weakening the classical Functional Analysis results towards the scope of topological modules is a relatively new trend that has enriched the literature of Functional Analysis with deeper classical results as well as with pathological phenomena. Following this trend, it has been recently proved that every real or complex Hausdorff locally convex topological vector space with dimension greater than or equal to 2 has a balanced and absorbing subset with empty interior. Here we propose an extension of this result to topological modules over topological rings. A sufficient condition is provided to accomplish this extension. This sufficient condition is a new property in topological module theory called strong open property. On the other hand, topological regularity of closed balls and open balls in real or complex normed spaces is a trivial fact. Sufficient conditions, related to the strong open property, are provided on seminormed modules over an absolutely semivalued ring for closed balls to be regular closed and open balls to be regular open. These sufficient conditions are in fact characterizations when the seminormed module is the absolutely semivalued ring. These characterizations allow the provision of more examples of closed-unit neighborhoods of zero. Consequently, the closed-unit ball of any unital real Banach algebra is proved to be a closed-unit zero-neighborhood. We finally transport all these results to topological modules over topological rings to obtain nontrivial regular closed and regular open neighborhoods of zero. In particular, if M is a topological R-module and mM is a continuous linear functional on M which is open as a map between topological spaces, then m1(int(B)) is regular open and m1(B) is regular closed, for B any closed-unit zero-neighborhood in R. Full article
(This article belongs to the Special Issue Functional Analysis, Topology and Quantum Mechanics)
12 pages, 1965 KB  
Article
Design and Characterization of Gypsum Mortars Dosed with Polyurethane Foam Waste PFW
by Isabel Santamaría Vicario, Lourdes Alameda Cuenca-Romero, Sara Gutiérrez González, Verónica Calderón Carpintero and Ángel Rodríguez Saiz
Materials 2020, 13(7), 1497; https://doi.org/10.3390/ma13071497 - 25 Mar 2020
Cited by 20 | Viewed by 3076
Abstract
The properties and the behaviour of plaster mortars designed with Polyurethane Foam Waste (PFW) are studied in this investigation. A characterization of the mixtures is completed, in accordance with the technical specifications of European Norms. The incorporation of polyurethane waste foam can yield [...] Read more.
The properties and the behaviour of plaster mortars designed with Polyurethane Foam Waste (PFW) are studied in this investigation. A characterization of the mixtures is completed, in accordance with the technical specifications of European Norms. The incorporation of polyurethane waste foam can yield porous and lighter mortars, with better resistance to water-vapour permeability, although with weaker mechanical strength and higher levels of absorbency. Nevertheless, suitable mechanical strengths were achieved, resulting in a new material that is compliant with the requirements of the construction industry. The use of PFW in the the manufacture of gypsum mortars for construction reduces the consumption of natural resources and, at the same time, recovers an industrial waste that is otherwise difficult to recycle. Full article
(This article belongs to the Special Issue Recent Research in the Design of New Sustainable Building Materials)
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