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The Extension of IFC For Supporting 3D Cadastre LADM Geometry
(MDPI, 2021)
The growth of densely populated urban areas has caused traditional cadastral registration systems to face many difficulties in representing complex and multilevel property situations on 2D maps. These challenges, combined ...
Софтверско-хардверско решење за естимацију термалног импулсног одзива вишеслојног равног зида
(Univerzitet u Beogradu, Građevinski Fakultet, 2020)
Ontologies as the Key for Common Understanding of Infrastructure Assets
(Springer, 2022)
Infrastructure assets around the world are managed using Infrastructure Asset Management Systems (IAMSs). Although powerful and comprehensive, these systems poorly describe the asset’s geometry. Building Information Models ...
Heritage Building Information Modeling (HBIM) of the Katholikon of the Studenica Monastery / Digitalno modelovanje objekata kulturnog nasleđa - HBIM na primeru manastira Studenice
(University of Belgrade - Faculty of Architecture, 2022)
Studenica Monastery is the Serbian medieval monument of highest architectural and cultural value, also enlisted on the UNESCO World Heritage Site. This paper presents the role of architectural knowledge and sophisticated ...
A digital solution for unlocking the urban mining potential of the residential building stock through the integration of BIM and GIS
(Conference on interdisciplinary and transdisciplinary research for sustainable development, 2022)
The construction industry consumes up to half of the excavated primary resources and
generates one-third of total waste annually, impacting the environment and society. To
reduce this impact, maintaining the primary ...
Geometry as a common ground for BMS and BIM
(IABSE Symposium, Prague 2022: Challenges for Existing and Oncoming Structures, 2022)
Bridge Management Systems (BMSs) are sophisticated software tools, widely used for managing bridges. Comprising a centralized database of all relevant information for the entire bridge stock and analytics to forecast ...
Rapid earthquake loss assessment based on machine learning and representative sampling
(Earthquake Spectra, 2021)
This paper proposes a new framework for rapid earthquake loss assessment based on a machine learning damage classification model and a representative sampling algorithm. A Random Forest classification model predicts a ...
Primena BIM-a u upravljanju projektima - kako boljim projektovanjem smanjiti probleme u izvođenju
(Konferencija - 16. kongres DGKS 2022, 28 - 30. 9, Aranđelovac, 2022)
Uspešno upravljanje projektima podrazumeva maksimalno ostvarenje ciljeva projekta uz minimalne probleme u realizaciji. Preduslov za prvo je kreativni a za drugo tehnički kvalitet projektovanja. U radu je predstavljen model ...
Compensating the lack of big data in construction industry with expert knowledge: a case study
(1st Serbian International Conference on Applied Artificial Intelligence (SICAAI) Kragujevac, Serbia, May 19-20, 2022, 2022)
Due to various reasons, there is a lack of big data in the construction industry, one of the main obstacles to a broader implementation of AI. Another obstacle is adhering to analytical methods in fields more suitable for ...
Detection and In-Depth Analysis of Causes of Delay in Construction Projects: Synergy between Machine Learning and Expert Knowledge
(Sustainability, 2022)
Due to numerous reasons, construction projects often fail to achieve the planned duration. Detecting causes of delays (CoD) is the first step in eliminating or mitigating potential delays in future projects. The goal of ...