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Construction cost estimation of reinforced and prestressed concrete bridges using machine learning
(Građevinar, 2021)
Seven state-of-the-art machine learning techniques for estimation of construction
costs of reinforced-concrete and prestressed concrete bridges are investigated in this
paper, including artificial neural networks (ANN) ...
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 ...
Cost-oriented analysis of fibre reinforced concrete column-supported flat slabs construction
(Journal of Building Engineering, 2022)
Fibre reinforced concrete (FRC) is increasingly being used in elements with high structural responsibility, the constructed FRC column-supported flat slabs (CSFSs, hereinafter) with partial or even total substitution of ...
Circular Economy in Construction and Demolition Waste Management in the Western Balkans: A Sustainability Assessment Framework
(Sustainability, 2022)
Population growth, consumerism and linear (take-make-dispose) economy models have been piling up waste for decades. The construction industry is also based primarily on linear economy models, but the good news is that most ...
Development and Implementation of Evaluation Framework for Quality Enhancement of Outcome-Based Curriculum
(International Journal of Engineering Education, 2021)
Evaluation to improve teaching and learning is essential for achieving the objectives of higher education programs. While structural and organisational aspects of teaching are frequently assessed, programme evaluation tools ...
COVID-19 Struggle and Post-COVID-19 Recovery: Exploring the Governance, Success, and Digital Transition in Construction Projects in Serbia
(Sustainability, 2023)
Construction, one of the largest global economic sectors, has been severely challenged by the economic uncertainties brought on by COVID-19. Since 2020, pandemic-related disruptions and remedial measures have made its ...
Linking BrIM to BMS for bridges – concepts
(IABSE, 2023)
Bridge Information Model (BrIM) is currently replacing drawings as main deliverable in new bridge project.
Several use cases for BrIM over its lifetime is identified, as well as a discussion of the use case potential. ...
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 ...
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 ...