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Now showing items 1-10 of 11
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 ...
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) ...
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 ...
An integrated solution for increased circularity in buidlings. A methodological framework
(15th International conference organization, technology and management in construction (OTMC), 21—24 September, 2022, Dubrovnik, Croatia, 2022)
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 ...
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 ...
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 ...
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 ...
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 ...