Filip Đorđević

ORCID: 0000-0002-4596-0131
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About
Contact & Profiles
Research Areas
  • Masonry and Concrete Structural Analysis
  • Seismic Performance and Analysis
  • Structural Health Monitoring Techniques
  • Building materials and conservation
  • Scientific Computing and Data Management
  • Structural Behavior of Reinforced Concrete
  • Engineering Diagnostics and Reliability
  • Structural Load-Bearing Analysis
  • Advanced machining processes and optimization
  • Computational Physics and Python Applications
  • Hygrothermal properties of building materials
  • Image Processing and 3D Reconstruction
  • Structural Response to Dynamic Loads

University of Belgrade
2021-2024

Abstract City centres of Europe are often composed unreinforced masonry structural aggregates, whose seismic response is challenging to predict. To advance the state art on these Adjacent Interacting Masonry Structures (AIMS) subproject from Horizon 2020 project Seismology and Earthquake Engineering Research Infrastructure Alliance for (SERA) provides shake-table test data a two-unit, double-leaf stone aggregate subjected two horizontal components dynamic excitation. A blind prediction was...

10.1007/s10518-022-01582-x article EN cc-by Bulletin of Earthquake Engineering 2023-03-20

Abstract This article presents a taxonomy and represents repository of open problems in computing for numerically logically intensive number disciplines that have to synergize the best performance simulation-based feasibility studies on nature-oriented engineering general civil particular. Topics include but are not limited to: Nature-based construction, genomics supporting nature-based earthquake engineering, other types geophysical disaster prevention activities, as well processes...

10.1186/s40537-023-00731-6 article EN cc-by Journal Of Big Data 2023-05-22

Abstract This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry academia, areas civil engineering, physics, geosciences, number other related fields. The course derived from this includes four parts: (a) Computing with selected set modern paradigms—the stress is on Control Flow Data paradigms, but paradigms conditionally referred to as Energy Diffusion are also covered; (b) Project management holistic—the wide...

10.1186/s40537-023-00730-7 article EN cc-by Journal Of Big Data 2023-05-31

Rapid earthquake damage and loss assessment is a critical process for evaluating the immediate impacts of seismic events on infrastructure populations. It involves quick analysis structural economic losses. The goal to provide timely information emergency responders, government agencies, decision-makers, enabling efficient resource allocation disaster response. Advanced technologies such as machine learning, remote sensing, real-time data analytics have improved accuracy speed these...

10.5592/co/3crocee.2025.97 article EN 2025-03-19

Abstract In this study, two machine-learning algorithms based on the artificial neural network (ANN) model are proposed to estimate ultimate compressive strength of square concrete-filled steel tubular columns. The development such prognostic models is achievable since an extensive set experimental tests exist for these members. developed use simplest possible architecture but attain very high accuracy. A total dataset 1022 specimens with 685 stub columns and 337 slender subjected pure axial...

10.1186/s40537-023-00739-y article EN cc-by Journal Of Big Data 2023-05-17

Seismic risk assessment in school buildings is critical for ensuring the safety and resilience of educational institutions against seismic events. This paper presents a new methodology named MM Risk comparative study with Adriseismic used assessment. The aims to provide insights into effectiveness reliability these methods evaluating vulnerability buildings. Through comprehensive review existing literature application on dataset 213 schools (367 buildings), this evaluates strengths...

10.3390/buildings14082348 article EN cc-by Buildings 2024-07-30

Masonry structures in addition to their long heritage are still widely used civil engineering practice. It should be emphasized that a lot of research has already been done on the seismic behavior masonry structures. However, due nature such problem, its complexity and seriousness, development numerical models connection with experimental tests always important. This is particularly significant considering vulnerability action horizontal forces generated during excitations. In recent...

10.58245/ipsi.tir.2401.07 article EN cc-by-nc-nd IPSI Transactions on Internet Research 2024-01-01

The fundamental period (TFP) of vibration is the time required for a structure to complete one full cycle vibration, and it main features structural system. It highly influences behavor structures under earthquake excitation. Therefore, its determination highest importance seismic design buildings. This complex task in case masonry infilled RC frames, due high stiffness infill walls their interaction with surrounding frame. In this study, using Artificial Neural Network (ANN) algorithms,...

10.1186/s40537-024-01027-z article EN cc-by-nc-nd Journal Of Big Data 2024-11-22

Lead-rubber bearings are often used as isolation/dissipation devices in the bridge structures, they provide both, period shift and increased damping structure, reducing significantly seismic forces displacements induced bridge.The hysteresis loop of lead-rubber bearing, usually approximated with bilinear shape, is an important numerical parameter directly analysis design this type structure.In paper, innovative rigorous closed-form analytical solution bearing was developed applying Preisach...

10.14415/konferencijagfs2021.25 article EN cc-by-sa Zbornik radova Građevinskog fakulteta 2021-01-01
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