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Waste Management Bulletin 2023年第3期1卷 11-17页

作者： Pinhal Luqueci Thomaz, Igor Fernando Mahler, Claudio Pereira Calôba, Luiz Civil Engineering Program COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil Electrical Engineering Program COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil

Waste characterization is essential in planning to reduce waste, create recycling programs and properly use public funds. Traditionally, waste characterization is successfully performed by on-site sampling. This monitoring requires specialized professionals following safety protocols to decrease the health risks associated with the waste handling. However, on-site sampling is susceptible to restrictions in mandatory quarantine situations. Here we show the possibility of using Artificial Intelligence applied to waste management. We identified an Artificial Neural Network (ANN) model fed by combination of population, Gross Domestic Product, Potable Water Supply and Sanitation System data that could be used to fill gaps related to the pandemic period. The modified model predictions were successful due to the adaptive capacity of the ANN-based models. Our results demonstrate that ANN can be used in contingency plans to predict the gravimetric composition and specific weight of Municipal Solid Waste, based on strategically chosen socioeconomic information. We anticipate that our model will be a starting point for more sophisticated computational models. It will allow not only the filling of gaps but also the use for auditing, because it allows analyzing the consistency of gravimetric composition and specific weight data provided by third parties. © 2023 The Authors

关键词： Artificial Neural Network Characterization Municipal Solid Waste Pandemic Socioeconomic factors

Exploring the Effects of Volumetrics and Binder Properties on the Performance of Asphalt Mixtures

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SSRN 2024年

作者： Rocha, Marcos Lamha Enríquez-León, Alexis Jair Aragão, Francisco Thiago Sacramento Espíndola, Rogério Pinto do Nascimento, Luis Alberto Herrmann Civil Engineering Program - COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil Civil Engineering Program - NTT COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil Technical Consultant CENPES PETROBRAS Rio de Janeiro Brazil

Current design methods rely mainly on the volumetric properties of asphalt mixtures. More comprehensive mixture analyses facilitate a broader understanding of the pavement performance as a function of factors such as traffic, climate, and mixture properties. Recently, performancebased mix designs have been developed to overcome shortcomings of the volumetric-based designs. Nevertheless, these new approaches may be time-consuming and expensive, and establishing a comprehensive understanding of the interplay between binder characteristics, volumetric properties, and performance outcomes becomes crucial. This work aims to explore relationships among these three aspects of asphalt mixtures regarding fatigue cracking and rutting performance. A database from different Brazilian studies and tests were collected. Data exploration analysis was conducted to evaluate the effect of the binder and volumetric properties on the fatigue and rutting results. The statistical analyses conducted in this study highlight that most properties within the database significantly impact asphalt mixture performance. Additionally, clear relationships were identified between various performance parameters. Lastly, multivariate analyses pinpointed key volumetric and binder variables that predominantly influence the mixture performance, particularly in relation to fatigue and rutting results. © 2024, The Authors. All rights reserved.

关键词： Design

Optimized Characterization of the Permanent Deformation of Unbound Soils and Granular Materials Considering the Master Curve Concept

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SSRN 2024年

作者： Cavalcante Mota, Bruno de Oliveira Ubaldo, Mariluce Dias Amancio de Lima, Caroline Alberto Herrmann do Nascimento, Luis Thiago Sacramento Aragão, Francisco Civil Engineering Program - COPPE Federal University of Rio de Janeiro Rio de Janeiro21941-596 Brazil Civil Engineering Program - PPEC Federal University of Bahia Salvador40210-910 Brazil CENPES/PETROBRAS Rio de Janeiro21941-915 Brazil

This paper presents a new method to evaluate the permanent deformation (PD) of soils and granular materials. Based on the concepts of shakedown and shift model, the PD analysis was proposed by means of master curves considering the initial 10,000 loading cycles of each applied stress state. Analogous to the superposition principle adopted in the construction of master curves for viscoelastic properties, the superposition loading cycle-magnitude of stress pair is proposed for the PD characterization of soils and granular materials. Thus, shift factors are used that provide the construction of master curves for each stress pair in an extended space of cycles. The master curves were used to predict the permanent deformation of soils and granular materials by increasing the number of cycles analyzed for each stress pair. For this, 24 different soils and granular materials were tested and analyzed to identify the influence of the loading cycles and stress state on the material behavior. The predictions provided by the proposed model were compared with those of another model currently used for flexible pavement design in Brazil. The results demonstrated the accuracy of the proposed methodology and indicated that it is possible to significantly reduce testing time than required for the PD characterization of soils and granular materials. © 2024, The Authors. All rights reserved.

关键词： Soils

Anticancer drugs alter active nitrogen-cycling communities with effects on the nitrogen removal efficiency of a continuous-flow aerobic granular sludge system

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Chemosphere 2025年 376卷 144279页

作者： Castellano-Hinojosa, Antonio Gallardo-Altamirano, Manuel J. Santo Svierzoski, Nicoly Dal Pozo, Clementina González-López, Jesús González-Martínez, Alejandro Environmental Microbiology Group Institute of Water Research University of Granada Granada18003 Spain Department of Microbiology University of Granada Granada18071 Spain Civil Engineering Program COPPE Federal University of Rio de Janeiro Rio de Janeiro Brazil

There is increasing awareness of the presence of anticancer drugs (ACDs) in wastewater. Nonetheless, how ACDs affect the performance of wastewater treatment systems and their microbial populations remains largely unclear. This study investigated the effects of three common ACDs (cyclophosphamide, tamoxifen, and methotrexate) at varying concentrations on physicochemical parameters and drug removal efficiency in an aerobic granular sludge (AGS) system operated in a continuous-flow reactor. Additionally, it examined the abundance of active microbial communities, including nitrifiers (amoA gene from ammonia-oxidizing bacteria and archaea) and denitrifiers (napA, narG, nirK, nirS, nosZ genes), as well as the biodiversity of active prokaryotic communities. The concentration level of ACDs determines variations in biomass density, granule integrity, and removal efficiencies of organic matter (OM) and total nitrogen. Both medium and high ACD concentrations negatively impact these physicochemical parameters. The findings revealed that AGS functioning within a continuous system could help remove ACDs, but removal efficiencies depended on the specific drug and concentration applied. At medium and high ACD concentrations a marked reduction in the abundance of active bacterial and archaeal communities, including nitrifiers and denitrifiers, was observed, alongside a decline in microbial diversity and a transformation in community composition. Specific bacterial genera, which are crucial for OM degradation, nitrification and denitrification were identified as particularly sensitive to anticancer drugs. Our findings highlight the need for monitoring and managing anticancer drugs in wastewater systems, as they can substantially alter treatment performance, nitrogen-cycling communities, and bacterial community composition. © 2025 Elsevier Ltd

关键词： Cytotoxic Denitrification Granular Microbial abundance Nitrification Wastewater

Treatment of Azo Dye-Containing Wastewater in a Combined Uasb-Embr System: Performance Evaluation and Membrane Fouling Study

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SSRN 2024年

作者： Belli, Tiago José Dalbosco, Vlade Bassin, João Paulo Lunelli, Karina da Costa, Rayra Emanuelly Lapolli, Flávio Rubens Civil Engineering Department Santa Catarina State University SC Ibirama89140-000 Brazil Environmental Engineering Program PPGEA Federal University of Santa Catarina SC Florianópolis88040-900 Brazil Chemical Engineering Program COPPE Federal University of Rio de Janeiro P.O. Box 68502 RJ Rio de Janeiro Brazil

This work investigated the treatment of azo dye-containing wastewater in an upflow anaerobic sludge blanket reactor (UASB) combined with an electro-membrane bioreactor (EMBR). Current densities of 20 A m-2 and electric current exposure mode of 6′ON/30′OFF were applied to compare the performance of the EMBR system to a conventional MBR. The results showed that dye (Drimaren Red CL-7B) removal occurred predominantly in the UASB reactor, contributing to 57% of the total dye removal achieved by the combined system. When the MBR was assisted by electrocoagulation, the overall azo dye removal efficiency increased from 60.5 to 67.1%. Electrocoagulation batch tests carried out with the EMBR mixed liquor revealed that higher decolorization rates could be obtained with a current density of 50 A m-2. Over the entire experimental period, the combined UASB-EMBR system exhibited excellent performance in terms of chemical oxygen demand (COD) and NH4+-N removal, with average efficiencies above 97%. As the electrocoagulation was applied to MBR, the permeate PO43-P content decreased substantially ( © 2024, The Authors. All rights reserved.

关键词： Membrane fouling

Characterization of Binder, Mastic, and Fam Film Thickness within Asphalt Concrete Mixtures

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SSRN 2023年

作者： de Souza, Thiago Delgado Enríquez-León, Alexis Jair Mesquita, Andressa Rosa da Fonseca Martins Gomes, Otávio Ulsen, Carina Underwood, Benjamin Shane Aragão, Francisco Thiago Sacramento Civil Engineering Program - COPPE Federal University of Rio de Janeiro Rio de Janeiro21941-596 Brazil Transportation Engineering Program - COPPE Federal University of Rio de Janeiro Rio de Janeiro21941-596 Brazil Center for Mineral Technology - CETEM Rio de Janeiro21941-908 Brazil Mining and Petroleum Engineering Program - POLI-USP Universidade of São Paulo São Paulo05508-010 Brazil Civil Construction and Environmental Engineering Program North Carolina State University Raleigh27695-7908 United States

Aggregate particles within an asphalt mixture are coated in a thin film of binder. Several studies and even mix design procedures have been based on an implied correlation between the binder film thickness (BFT) and the mechanical properties of these mixtures. Those studies generally define the BFT based on a predictive equation linked to one or more theoretical considerations, but without direct experimental determination of the BFT. However, recent developments of powerful scanning electron microscopes (SEMs) and digital image processing (DIP) techniques allow one to perform detailed analysis of microstructural images and thus directly measure the BFT value. This paper presents an analysis of BFT and mastic film thickness (MFT) within asphalt concrete (AC) mixtures using high-resolution SEM images and DIP. Based on this methodology, the measured mean BFT and MFT values ranged from 5.6 µm to 10.8 µm, and from 20.8 µm to 28.2 µm, respectively. Additionally, a BFT analysis considering fine aggregate matrix (FAM) phase within the ACs was pursued. A criterion to obtain FAM BFT is proposed and it can be useful in volumetric FAM mix design and sample fabrication. © 2023, The Authors. All rights reserved.

关键词： Film thickness

Characterization of the Fatigue Behavior of Asphalt Binders, Fams, and Ac Mixtures Based on Multiscale Approaches and on the S-Vecd Model

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SSRN 2022年

作者： Osmari, Patrícia Hennig Leite, Leni Figueiredo Mathias do Nascimento, Luis Alberto Herrmann Espíndola, Rogério Pinto Aragão, Francisco Thiago Sacramento Department of Civil Environmental Aerospace and Material Engineering DICAM University of Palermo Palermo Italy Civil Engineering Program COPPE Federal University of Rio de Janeiro Rio de Janeiro21941-596 Brazil CENPES PETROBRAS Rio de Janeiro Brazil Civil Engineering Program NTT COPPE Federal University of Rio de Janeiro Rio de Janeiro21941-909 Brazil

This study investigates the relationship between the fatigue damage behavior of asphaltic material constituents based on experimental and analytical approaches. For that, asphalt binder fatigue characteristics were determined in a Dynamic Shear Rheometer, including the traditional Superpave parameter |G*|sinδ = 5000 kPa, the binder fatigue factor obtained from Linear Amplitude Sweep tests, and the Delta Tc. The asphalt concrete (AC) mixture was characterized in uniaxial tests of dynamic modulus and fatigue. Fine Aggregate Matrices (FAMs) were characterized in a uniaxial loading test that was implemented in a servo-hydraulic universal testing machine and the testing results were well correlated with the mechanical characteristics of the corresponding AC. A correlational assessment of various parameters obtained in the analysis of the materials in different scales was performed to identify the most promising that can be adopted for the prediction of the overall material behavior from the characteristics of its constituents. The fatigue parameters presented strong correlations across the different scales and the upscaling experimental equations proposed in this study showed a good predictive potential of the experimental data. The combination of linear viscoelastic and fatigue parameters was identified as a better option than the use of any of those separately to predict the fatigue behavior in a larger scale. It is expected that the proposed upscaling analysis methodologies and the identification of relationships among the asphalt composite scales investigated in this study will contribute for the enhancement of fatigue multiscale frameworks and promote the generation of durable asphaltic materials and flexible pavement structures. © 2022, The Authors. All rights reserved.

关键词： Fatigue of materials

Rheological Indexes for Asphalt Binders Considering Different Aging Conditions: Evaluation and Correlations with Performance

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SSRN 2022年

作者： Leite, Leni Figueiredo Mathias Osmari, Patrícia Hennig Aragão, Francisco Thiago Sacramento Civil Engineering Program - COPPE Federal University of Rio de Janeiro Rio de Janeiro21941-596 Brazil Department of Civil Environmental Aerospace and Material Engineering - DICAM University of Palermo Palermo Italy

This paper evaluates parameters proposed by different countries to characterize asphalt binders, considering distinct aging levels. Tests are conducted in a DSR to determine dynamic shear modulus, phase angle, ΔTc, and parameters of the LAS and MSCR tests. NMR and SARA tests are also performed to identify the chemical characteristics of the materials. The results indicate that the Spanish, English, and German parameters are well correlated with performance. GR and VET are advantageous as they offer cracking limits validated with field studies. Aromatic compounds are correlated with stiffness upon aging, whereas the saturates benefit ΔTc, reducing the cracking susceptibility. © 2022, The Authors. All rights reserved.

关键词： Binders

Migration Guided by a Performance Index in Heterogeneous Island Models 9th

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Migration Guided by a Performance Index in Heterogeneous Isl...

9th International Conference on Bioinspired Optimization Methods and Their Applications, BIOMA 2020

作者： Pontes, Rodrigo C. A. F. Duarte, Grasiele R. Goliatt, Leonardo Computational Modeling Program Federal University of Juiz de Fora Juiz de Fora Brazil Civil Engineering Program COPPE/Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9783030637095

Evolutionary Algorithms are efficient alternatives to solve complex optimization problems. The high computational cost of these algorithms commonly motivates their implementation to run in parallel computational environments. Island Model enables the parallel implementation of Evolutionary Algorithms relatively easily to incorporate the migration operation into the evolutionary process. The inclusion of new solutions in a population, previously evolved in another population, can contribute positively to the problem’s solution quality. In this work, a performance index was added to the Island Model, aiming to indicate how efficiently each island’s population is in solving the problem according to its algorithm. Islands with higher performance indexes receive more individuals in migrations. In this way, these algorithms become more active in the evolutionary process. The experiments demonstrated that the new model solutions were as good as the solutions from each problem’s best algorithm. We also noticed that even if we remove the most efficient algorithm from the model, it still adapts and provides efficient solutions. © 2020, Springer Nature Switzerland AG.

关键词： Evolutionary algorithms

Evaluation of a hybrid representation to model the wind turbine, platform and mooring lines in the analysis of floating offshore wind turbines 39

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Evaluation of a hybrid representation to model the wind turb...

ASME 2020 39th International Conference on Ocean, Offshore and Arctic engineering, OMAE 2020

作者： De Araújo Neto, Elói Daniel Rodriguez, William Steven Mendez Correa, Fabricio Nogueira De Souza Leite Pires De Lima, Beatriz Jacob, Breno Pinheiro Ortega, Arturo Civil Engineering Program/COPPE/Federal University of Rio de Janeiro Rio de Janeiro Brazil Institute for Energy Systems The University of Edinburgh Edinburgh United Kingdom

ISBN: (纸本)9780791884416

This work presents and evaluates a hybrid methodology for the analysis of FOWT, taking advantage of the SITUA-Prosim code developed by LAMCSO/coppe/UFRJ, and the NREL FAST code. SITUA-Prosim has been originally developed for the coupled analysis of floating platforms for oil production. It fully couples a validated hydrodynamic model, which represents the hull motions, with a full nonlinear dynamic Finite-Element based structural model, which represents mooring lines and risers. The first step of the methodology is to employ the FAST code to generate time-series of forces on the bottom of the tower. These forces are then applied as input for an analysis with the SITUA-Prosim code where the platform and mooring lines are fully coupled, the latter being represented by a full nonlinear dynamic FE model. This may be considered as a "hybrid" methodology since it uncouples the platform motion response from the forces from the wind turbine, but couples the platform motions with the nonlinear dynamic structural response of the mooring lines. The methodology is applied to analyze the OC4 DeepCwind semisubmersible, taking different wind velocities, and evaluating the influence of the elastic behavior of the blades on the global motion and line tension responses. The results are compared with a standard procedure where the whole system is analyzed entirely by the FAST program Due to its simplification, this hybrid methodology can be employed for preliminary or intermediate design stages. The main goal of the studies presented here is to comprise an initial step toward a full integration between the Prosim and FAST programs. In future works a full coupling between the wind turbine forces and the platform motions will be implemented. © 2020 American Society of Mechanical Engineers (ASME). All rights reserved.

关键词： Mooring