ORCID Profile
0000-0002-4793-0905
Current Organisation
Universidade Federal do Rio de Janeiro
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Elsevier BV
Date: 10-2019
Publisher: International Association for Automation and Robotics in Construction (IAARC)
Date: 22-07-2018
Publisher: MDPI AG
Date: 24-12-2022
DOI: 10.3390/ENG4010002
Abstract: Corn is an ex le of an agricultural grain with a specific combustibility level and can promote smoldering fires during storage. This paper conducts an experimental design to numerically evaluate how three parameters, namely particle size, moisture, and air ventilation, influence the smoldering velocity. The work methodology is based on Minitab’s experimental design, which defined the number of experiments. First, a pile of corn is heated by a hot plate and a set of thermocouples registers all temperature variations. Then, a full-factorial experiment is implemented in Minitab to analyze the smoldering, which provides a mathematical equation to represent the smoldering velocity. The results indicate that particle size is the most influential factor in the reaction, with 35% and 45% variation between the dried and wet s les. Moreover, comparing the influence of moisture between corn flour and corn powder s les, a variation of 19% and 31% is observed additionally, analyzing the ventilation as the only variant, we noticed variations of 15% and 17% for dried and wet corn flour, and 27% and 10% for dried and wet corn powder. Future studies may use the experimental design of this work to standardize the evaluation methodology and more effectively evaluate the relevant influencing factors.
Publisher: MDPI AG
Date: 22-04-2019
DOI: 10.3390/EN12081515
Abstract: Buildings demand a significant amount of energy during their life cycles, hence, effective design measures need to be adopted to ensure efficient energy usage and management in buildings. This study proposes a framework based on various performance parameters to enable decision-makers utilizing standard procedures and software to empower the process of sustainable energy use and management in buildings, through a parametric analysis in different climatic conditions. Experimental design is adopted within the framework via the use of various performance parameters related to the building design (i.e., construction materials for exterior walls and roofs, as well as a set of window-to-wall ratios). Results indicate that climate data plays a fundamental role in the choice of design factors that are best suited for effective energy consumption in buildings. In particular, sub-type climate classifications, as opposed to the primary climate group, have a minor influence. Around 15% improvement in the energy consumption in buildings is noticed due to changes to the design factor such as the window-to-wall ratio. Insights that can be gleaned from this study include the impact of space area, exterior openings and material thickness and choice for the envelope of the building in all climate classifications, aiding in the design of low-energy buildings.
Publisher: Elsevier BV
Date: 04-2021
Publisher: MDPI AG
Date: 17-11-2020
DOI: 10.3390/BUILDINGS10110206
Abstract: Windows account for a significant proportion of the total energy lost in buildings. The interaction of window type, Window-to-Wall Ratio (WWR) scheduled and window placement height influence natural lighting and heat transfer through windows. This is a pressing issue for nontropical regions considering their high emissions and distinct climatic characteristics. A limitation exists in the adoption of common simulation-based optimisation approaches in the literature, which are hardly accessible to practitioners. This article develops a numerical-based window design optimisation model using a common Building Information Modelling (BIM) platform adopted throughout the industry, focusing on nontropical regions of Australia. Three objective functions are proposed the first objective is to maximise the available daylight, and the other two emphasize undesirable heat transfer through windows in summer and winter. The developed model is tested on a case study located in Sydney, Australia, and a set of Pareto-optimum solutions is obtained. Through the use of the proposed model, energy savings of up to 8.57% are achieved.
Publisher: MDPI AG
Date: 06-10-2020
DOI: 10.20944/PREPRINTS202010.0111.V1
Abstract: Windows account for a significant proportion of the total energy lost in buildings. The interaction of window type, Window-to-Wall Ratio (WWR) scheduled and window placement height would influence the natural lighting and heat transfer through windows. This is a pressing issue for non-tropical regions considering their high emissions and distinct climatic characteristics. A limitation exists in the adoption of common simulation-based optimisation approaches in the literature, which are hardly accessible to practitioners. This article develops a numerical-based window design optimisation model using a common Building Information Modelling (BIM) platform adopted throughout the industry, focusing on non-tropical regions of Australia. Three objective functions are proposed the first objective is to maximize the available daylight, and the other two emphasize on the undesirable heat transfer through windows in summer and winter respectively. The developed model is tested on a case study located in Sydney, Australia, and a set of Pareto-optimum solutions is obtained. Through the use of the proposed model, energy savings of up to 16.43% are achieved. Key findings on the case ex le indicate that leveraging winter heat gain to reduce annual energy consumption should not be the top priority when designing windows for Sydney.
Publisher: Elsevier BV
Date: 06-2023
Publisher: Elsevier BV
Date: 12-2021
Publisher: Elsevier BV
Date: 10-2021
Publisher: MDPI AG
Date: 08-05-2019
DOI: 10.3390/MA12091504
Abstract: Over the last decades, new materials with outstanding performance have been introduced in the construction industry. Considering these new technologies, it is worth mentioning that nanotechnology has revolutionized various areas of engineering. In the area of civil engineering and construction, cement is used for various purposes and the search to improve its performance has been receiving growing interest within the scientific community. The objective of this research was to evaluate the behavior of cement mortar produced by the addition of multi-walled carbon nanotubes (MWCNTs) in different concentrations by comparing their physical and mechanical properties with the properties of the nanotube-free composite. Motivated by the lack of consensus in the literature concerning to the optimal dosage of CNTs in cementitious matrices, three different carbon nanotube ratios, 0.20, 0.40 and 0.60 wt % Portland cement, were investigated with the aim of evaluating the mechanical properties. Destructive tests were carried out to determine the compressive strength, flexural strength and split tensile strength. Additionally, a non-destructive test was performed to determine the dynamic elastic modulus and density. Scanning electron microscopy (SEM) images showed the interaction between the MWCNTs and the hydration products of Portland cement mortar. The results indicated the potential contribution of 0.40 wt % cement CNTs to the enhancement of the mechanical properties of the cement composite as a promising construction material.
Publisher: Elsevier BV
Date: 08-2019
Publisher: Informa UK Limited
Date: 18-11-2019
Publisher: MDPI AG
Date: 11-11-2022
DOI: 10.3390/INFRASTRUCTURES7110154
Abstract: High-speed railway is trending in developing countries for economic reasons, mobility in the aftermath of COVID-19, and environmental concerns. The high-speed railway operators continuously improve the operational speed to transport more passengers in less time. However, increasing the train loads at high speed might increase the dynamic loads of bridges and affect their pile foundation. A stiffer railway bridge is mandatory for high-speed train safety and passenger riding comfort. However, a flexible bridge is ideal for responding to earthquakes. Thus, these two objectives are conflicting. This review paper provides a bibliometric review aiming to determine the published studies by year and by country, and to visualize different research trends in cluster maps using the VOSviewer software, summarizing the published research for high-speed railway bridges starting from 1964. The review also extracted information from the latest studies by summarizing some essential objectives, useful methodologies, and notable findings that might be applicable to future studies. In conclusion, there is a need for further research to fill the knowledge gap in the study related to the soil–structure interaction phenomenon considering the performance-based seismic design of a high-speed railway bridge on a monopile foundation in the event of lateral spreading due to soil liquefaction.
Publisher: MDPI AG
Date: 14-08-2021
DOI: 10.3390/INFRASTRUCTURES6080115
Abstract: Annually, millions of dollars are spent to carry out defect detection in key infrastructure including roads, bridges, and buildings. The aftermath of natural disasters like floods and earthquakes leads to severe damage to the urban infrastructure. Maintenance operations that follow for the damaged infrastructure often involve a visual inspection and assessment of their state to ensure their functional and physical integrity. Such damage may appear in the form of minor or major cracks, which gradually spread, leading to ultimate collapse or destruction of the structure. Crack detection is a very laborious task if performed via manual visual inspection. Many infrastructure elements need to be checked regularly and it is therefore not feasible as it will require significant human resources. This may also result in cases where cracks go undetected. A need, therefore, exists for performing automatic defect detection in infrastructure to ensure its effectiveness and reliability. Using image processing techniques, the captured or scanned images of the infrastructure parts can be analyzed to identify any possible defects. Apart from image processing, machine learning methods are being increasingly applied to ensure better performance outcomes and robustness in crack detection. This paper provides a review of image-based crack detection techniques which implement image processing and/or machine learning. A total of 30 research articles have been collected for the review which is published in top tier journals and conferences in the past decade. A comprehensive analysis and comparison of these methods are performed to highlight the most promising automated approaches for crack detection.
Publisher: Trans Tech Publications, Ltd.
Date: 10-2013
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.431.350
Abstract: The life cycle inventory for the production of building materials made in Brazil do not follow standardizations regarding the choice and representation of data and are not eligible for other exchanges between Brazilian and European inventories. For this study inventories Brazilian and European production of ceramic bricks were analyzed on the basis of quality indicators recommended by ISO14040. The results confirmed that Brazilian studies show a high level of uncertainty and are incompatible with international inventories.
Publisher: Trans Tech Publications, Ltd.
Date: 09-2013
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.818.124
Abstract: Nanomaterials could change the face of modern construction because they are more resistant, more durable and have notable features. Concrete is a material widely used in construction industry worldwide. Carbon nanotube has been considered a new and outstanding material in nanoscience field with great potential application in the construction industry. The study presented in this paper, aims at assessing how carbon nanotubes can affect cement composites and so the concrete, in terms of microstructure and physical-mechanical properties. Three different ratios of carbon nanotubes have been searched: 0.20%, 0.40% and 0.60%. To evaluate the mechanical properties of the s les, destructive and non-destructive tests were carried out to obtain compressive strength, tensile strength by diametrical compression, dynamic modulus of elasticity as well as the determination of their deformation properties. This work also aims to motivate entrepreneurs and professionals in the sector of civil engineering on the advantages of the application of nanotechnology in construction, as well as providing information to the scientific and technological community in general.
Publisher: Trans Tech Publications, Ltd.
Date: 10-2013
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.431.370
Abstract: Brazilians construction industry is facing a growth panorama. Given this, discussions on environmental suitability of the sector become relevant, since it is recognized as the most important sector for achieving more sustainable patterns of development. The life cycle assessment (LCA) has been considered one of the most appropriate methodologies for the analysis of interactions between products and services of construction industry and the environment and it has been used with numerous goals and different methodological referrals. In Brazil the main limitation related to the use of LCA is the lack of databases for the specific regional reality, which is related with life cycle inventories, part of LCA process. This article aims to compare different LCA studies that addressed the life cycle of ceramic bricks, an intensive used component in Brazilians buildings. The focus defined is the LCI of production phase, identifying possible differences in modeling processes and in inputs and outputs. The results pointed out to homogeneity in process description and to a lack of correspondence of inputs and outputs with functional units adopted.
Publisher: Elsevier BV
Date: 04-2022
Publisher: Informa UK Limited
Date: 09-09-2022
Publisher: Trans Tech Publications, Ltd.
Date: 09-2013
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.818.24
Abstract: Concrete from ready mix plant is the main raw material consumed in construction industry. A significant waste quantity is generated with fresh concrete returned to the production center due to their inadequate allocation or demand preview. To minimize the amount of this material wasted, misused, discarded, could be used the Hydration Stabilizer Admixture (HSA). This product enables stabilization of the concrete setting time until 72 h. Waste generated by the building industry is becoming increasingly focused on discussions and studies, due to great importance that this topic is achieving. Generation of this waste in the construction sector and the large representation of this sector in society is one of the main problems encountered in the reuse of waste from construction. Its characteristic, heterogeneous and unknown, however, a specific part of that waste generated in the central metering concrete, has a high potential for reuse, mainly because they come from a production highly controlled, where the source materials and the final product are physically and chemically known. This work aims to study the environmental benefits and technical feasibility of stabilizing additive hydration as a solution for the reuse of residual concrete from central metering, always under a sustainable vision of the entire process through an experimental program. This work presents results of setting time, slump test, incorporated air, compressive strength at 3days, 7days, 14days, 28days and 45 days and elastic modulus ate 28 days. The reference concrete was compared with concrete stabilized mixtures (0.15%, 0.30%, 0.45% content of HSA), both presenting the same constituent materials. The results indicate the feasibility to the use of the HSA despite the reduction of the mechanical properties of the concrete.
No related grants have been discovered for Assed Haddad.