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Influence of initial geometrical imperfections on thermal stability of laminated composite plates using layerwise finite element
(www.elsevier.com/locate/compstruct, 2022)
In this paper, the influence of initial geometrical imperfections on thermal stability of laminated composite plates using Layer wise plate model is presented. The mathematical model assumes layer wise variation of in-plane ...
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 ...
Stability criteria for stainless steel equal-leg angle columns
(Proceedings in Civil Engineering, THE 8th INTERNATIONAL CONFERENCE "CIVIL ENGINEERING – SCIENCE AND PRACTICE" GNP 2022 – Kolašin, Montenegro, 8-12 March 2022, 2022)
Nowadays, the explicit codified criteria for design of centrically compressed stainless steel columns with equal-leg angle sections are absent in Europe. A comprehensive scientific investigation has therefore been undertaken ...
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 ...
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 ...