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2010 Kraljevo Earthquake Recovery Process Metrics Derived from Recorded Reconstruction Data
(16th European Conference on Earthquake Engineering, 2018)
Earthquake resilience starts with a sudden drop of performance when an earthquake strikes followed by a relatively long recovery phase. The dynamics and volume of investment directly affect the rate and level of recovery. ...
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 ...
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 ...
Computational design and analysis of tensegrity structures
(Serbian architectural journal, 2018)
The paper presents the application of computational tools in design and analysis of integrally tensioned (tensegrity) structures. The shaping process of this specific type of spatial structures is determined by consideration ...
A novel Quality Control Framework for the management of existing bridges
(International Association for Bridge and Structural Engineering (IABSE), 2017)
The paper presents a framework to evaluate key performance indicators (KPIs) in qualitative manner. This framework is the basis for establishment of Quality Control plans for existing bridges. It addresses the dynamics of ...
Detecting Concepts in Construction Project Documents using Statistical Measures for Semantic Similarity
(Civil-Comp Press, 2015)
This paper addresses the problem of automatic concept detection in a construction project documentation with the aim of increasing the efficiency of information retrieval for all stakeholders in real-time in cases when ...
A computational method for laminated composite plates based on layerwise theory
(Elsevier Ltd, 2017)
This paper presents a new computational method for stress-strain analysis of simply supported rectangular cross-ply laminated composite plates subjected to transverse loads which was applied in the authors FORTRAN program ...