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On the norms of geometric circulant matrices with the Quadrapell numbers
No full textIn this paper we give the some bounds of the spectral norm for r-geometric circulant matrices with the Quadrapell numbers. In addition, there are some remarks on Quadrapell numbers and a proof of the conjecture stated by D. Tasci
Temperaturski impulsni odziv dvoslojne građevinske pregrade
No full textU radu je analizirana dvoslojna građevinska pregrada
poznatih toplotnih i fizičkih karakteristika i određen je
temperaturski impulsni odziv na zadate granične uslove na
spoljašnjoj i unutrašnjoj površini. Odziv je određen rešavanjem
Furijeove jednačine za zadati problem u frekventnom domenu.
Temperaturski odziv u vremenskom domenu je dobijen
određivanjem polova prenosne funkcije u frekventnom domenu
Predicting Urban Land Cover Changes Based on Data-Driven Models
No full textUrban Land Cover Changes (ULCC) refers to the modifications in physical characteristics of the Earth’s surface and the human-made structures, as urban landscapes evolve over time. Understanding of ULCC is pivotal in powering urban Green Agenda initiatives as well as combating climate changes and preserving biodiversity. This research showcases the Data-Driven Spatial Planning possibilities through predicting the land cover distribution of Belgrade’s urban area in the following decades. The proposed approach is based on non-guided “trend” urban development, which aims to capture the historical trend and then apply it to predict possible future scenario. The proposed methodology has been successfully utilized to predict LC maps over the Belgrade metropolitan area for years 2030 and 2040. The subsequent analysis highlighted trends to be expected in the following decades. As expected, an intensive urbanization and increase in artificial surfaces is expected, mostly on account of agriculture and high-vegetation areas. Obtained results provide spatial planners and policy makers with an efficient tool for informed decision-making, predictive analysis, efficiency improvement and sustainability
Numerical analysis of the flood protection embankment
No full textThis paper presents a numerical study of the long-term behaviour of a flood protection embankment on the Tamnava River under projected climate stress. A coupled hydro-mechanical analysis was performed in Plaxis 2D, with climate boundary conditions derived from the Digital Climate Atlas of Serbia under the high-emission RCP8.5 scenario. The results indicate that the embankment remains stable under average monthly projections, demonstrating the potential of combining climate data with geotechnical modeling to assess future flood defence performance
Investor decision-making in construction development: data-driven strategies for optimal investment choices
No full textInvestment decision-making in construction development is a multi-layered process
shaped by market dynamics, financial risk assessments, regulatory frameworks, and
emerging industry trends. In an era of rapid urbanization, digital transformation, and
increasing sustainability concerns, investors must integrate diverse data sources and
analytical methods to optimize their decisions. This study explores the key factors
influencing investor choices, emphasizing the role of structured feasibility assessments,
technological advancements, and environmental considerations in shaping investment
strategies.
To investigate these aspects, this research will employ a combined narrative and
thematic literature review approach. The narrative review will provide a broad exploration
of key investment factors, tracing the evolution of decision-making frameworks in
construction, including traditional investment principles, financial assessment models, and
the impact of regulatory and economic shifts. The thematic review will categorize findings
into structured decision-making components, aligning with key investment phases such as
market analysis, risk assessment, financial modeling, and stakeholder engagement. This
dual approach ensures both flexibility in exploring diverse literature and a structured
synthesis of key themes, offering a comprehensive understanding of how investors
evaluate construction opportunities.
The findings of this study highlight the increasing reliance on financial modeling,
regulatory compliance mechanisms, and sustainability-driven investment criteria in modern
construction decision-making. By integrating traditional feasibility assessments with
modern investment analytics, this paper provides an updated, structured framework for
evaluating construction investment opportunities. The study will equip investors,
developers, and policymakers with insights to navigate complex and volatile markets,
optimize decision-making processes, and enhance long-term project viability
Machine Learning-Based Post-Earthquake Damage State Assessment of Masonry Structures and Sustainable Brick Reuse for Resilient Construction
No full textPost-earthquake damage assessment of masonry structures is critical for ensuring safe reconstruction and promoting sustainable practices in disaster-stricken areas. This study presents a novel approach that integrates machine learning techniques to evaluate the damage state of masonry structures following an earthquake and thus supports decision making related to retrofitting or demolishing. Furthermore, it identifies the potential of using recycled materials and reusing bricks for new construction, aligning with sustainability goals. This paper presents a synergy between two research projects RELAR (Rapid Earthquake Loss Assessment and Recovery Framework) and CIRC-BOOST (Boosting the uptake of circular integrated solutions in construction value chains). A dataset comprising damage state indicators from recent earthquakes was used to train and validate machine learning models, including image-based damage state classification. The proposed framework effectively categorizes damage state levels, estimates repair feasibility, and recommends potential reuse strategies for construction materials. Experimental validation and case studies demonstrate the model's high accuracy and robustness in real-world scenarios. By enabling rapid and reliable damage state assessment, this approach facilitates sustainable post-disaster reconstruction, reduces construction waste, and enhances the resilience of rebuilt communities
SUZI-SAEE Earthquake Image Database: A Framework for Tagging Earthquake-Induced Damage
No full textThe Serbian Association for Earthquake Engineering (SUZI-SAEE) has developed a database platform with images taken during the reconnaissance missions after the earthquakes, with the aim to provide a comprehensive framework for documenting and analyzing earthquake-induced structural damage. This paper presents the main aspects of the database platform with the images of the SAEE team members. The initial database is developed from extensive post-earthquake field investigations carried out by the members of SAEE. This platform tends to gather and label images of damaged buildings from seismic events, incorporating crucial metadata such as structural type, damage level, and failure modes. The importance of this framework also lies in its ability to facilitate the extraction of important statistics, enabling deeper insights into damage patterns, structural vulnerabilities, and responses to seismic forces. Due to its ability to systematically analyse data gathered from past earthquakes, the database is expected to serve as a valuable resource for researchers and practitioners to improve seismic codes, optimize retrofitting strategies, and improve the understanding of the behavior of structures under earthquakes. In addition to providing a direct benefit to earthquake mitigation, the database is expected to serve as an educational and research tool, accessible to the wider community. Due to high seismic risks around the world, the SAEE database also stands as a tool for advancing the field of earthquake engineering and improving the resilience of our built environment, making it a valuable contribution to civil engineering research and practice. By facilitating the study of past seismic events, the SAEE database provides a valuable contribution toward reducing seismic risks
Digitalni blizanci: korak napred u digitalizaciji vodovodnih i kanalizacionih sistema
No full textEfikasno upravljanje vodovodnim i kanalizacionim sistemima postaje sve složeniji zadatak. Nedovoljno održavana i zastarela infrastruktura, manjak finansijskih sredstava kao i nedostatak kvalifikovanog kadra samo su neki od faktora koji negativno utiču na poslovanje. Sa druge strane, tekuća digitalizacija, prisutna u skoro svim sferama poslovanja, predstavlja dobru priliku da se izazovan posao upravljanja komunalnim infrastrukturnim sistemima, donekle, olakša. Digitalni blizanci (virtuelne replike stvarnih sistema i/ili postrojenja) omogućavaju efikasnije upravljanje ovim sistemima pružajući mogućnosti: 1) uvida u stanje sistema i detekciju problema u (približno) realnom vremenu (gubici, zagušenja itd), 2) analize rada sistema pri različitim scenarijima (ekstremnim pojavama i/ili pri otkazima delova sistema) i prioritizaciju intervencija i 3) dugoročnijeg planiranja unapređenja sistema. Implementacija ove tehnologije zahteva ažurnu GIS bazu podataka, postavljanje mreže senzora (senzori pritiska, nivoa, protoka itd) i kreiranje odgovarajućeg simulacionog modela sistema (EPANET, EPA-SWMM). Pored ovih osnovnih elemenata, digitalni blizanac podrazumeva i mogućnost kontinualnog ažuriranja modela integracijom podataka sa senzora, čineći na taj način model alatom za detekciju različitih promena u sistemu. Dodatno, mogu se implementirati različiti dopunski alati (generatori ekstremnih scenarija, generatori otkaza, alati za optimizaciju itd) čime se proširuje paleta funkcionalnosti digitalnog blizanca. U ovom radu se prezentuju početni rezultati DIGIDRAIN projekta, pionirskog poduhvata u Srbiji koji za cilj ima razvoj metodologije za digitalne blizance kanalizacionih sistema, sa primerom na delu kanalizacione mreže Novog Beograda
3D City Model Conversion to BIM for Automatic Material Quantities Assessment
No full textAccurate material quantification is essential for circular construction and urban material management. This paper presents a novel method for automating BIM generation from 3D city models (CityGML LOD 3) to assess material quantities. Exterior elements are converted into BIM for precise material takeoff, while interior materials are estimated using a bottom-up approach. A case study in Belgrade demonstrates the method’s reliability, particularly for older buildings. By enhancing automation and scalability, this GIS-to-BIM workflow improves accuracy in urban material stock assessment
The role of “nature” in the Water-Energy-Food Nexus: insights from an interdisciplinary process of knowledge creation
No full textIntegrated approaches to manage natural resources are increasingly needed in a complex and interconnected world to meet growing demands for water, energy, and food, while preserving ecosystem integrity and promoting equitable access to resources. One such approach is the Water-Energy-Food (WEF) Nexus, which offers a cross-sectoral framework to navigate trade-offs and leverage synergies across interlinked sectors. Although ecosystems were not originally considered a formal component of the Nexus, their vital role in supporting water, energy, and food systems—and in regulating the interactions between them—is gaining recognition among Nexus scholars and practitioners. To review and discuss existing efforts that integrate ecosystems into the WEF Nexus, we — a multidisciplinary team of natural resource management researchers and systems thinkers from the European network NEXUSNET COST Action—undertook a collaborative process of knowledge creation. Researchers from both the Nexus and Ecosystems community were involved in literature analysis, expert elicitation during workshops, and collaborative writing. Our analysis revealed a wide range of concepts used in the literature to represent “nature” within the Nexus, including terms like “environment,” “ecosystems,” “ecosystem services,” and “biodiversity.” Three main conceptual paradigms on the role of “nature” in the Nexus were also isolated: (i) ecosystems as a fourth component of the Nexus, i.e., the Water-Energy-Food-Ecosystems (WEFE) Nexus; (ii) ecosystems as the foundational layer underpinning the Nexus; and (iii) the WEF Nexus as a central component of social-ecological systems (SES). We put forward a WEFE Nexus hybrid paradigm that expands the mutual interlinkages among water, energy and food to the entirety of SES, thus acknowledging the social-ecological processes that are affected by and affect the WEF Nexus. The hybrid paradigm represents a common and integrated knowledge that has emerged from the sharing of individual viewpoints and mental models., ultimately providing researchers with means to better understand the WEFE Nexus.Organisation of the Conference: COST Action NEXUSNET - CA20138 in collaboration with Water Europe, University of Thessaly, Aristotle University of Thessaloniki, with the support of ONE PLANET THESSALY and Resilient Futures by ENRICH GLOBA