A5049566452- Masonry and Concrete Structural Analysis
- Building materials and conservation
- Seismic Performance and Analysis
- Civil and Structural Engineering Research
- Structural Behavior of Reinforced Concrete
- 3D Surveying and Cultural Heritage
- Structural Response to Dynamic Loads
- Structural Engineering and Vibration Analysis
- Structural Health Monitoring Techniques
- Structural Analysis of Composite Materials
- Infrastructure Maintenance and Monitoring
- Rock Mechanics and Modeling
- Mining and Gasification Technologies
- Hygrothermal properties of building materials
- Geotechnical and Geomechanical Engineering
- Concrete Corrosion and Durability
- Remote Sensing and LiDAR Applications
- Atmospheric and Environmental Gas Dynamics
- Fluid Dynamics Simulations and Interactions
- earthquake and tectonic studies
- Coal Properties and Utilization
- Structural Analysis and Optimization
- Optical measurement and interference techniques
- Seismology and Earthquake Studies
- Composite Material Mechanics
University of Leeds
2014-2024
Kyoto University
2023
Teesside University
2023
Physical Sciences (United States)
2023
English Heritage
2021-2022
Newcastle University
2015-2020
Cardiff University
2009-2016
Masonry structures represent the highest proportion of building stock worldwide. Currently, structural condition such is predominantly manually inspected which a laborious, costly and subjective process. With developments in computer vision, there an opportunity to use digital images automate visual inspection The aim this study examine deep learning techniques for crack detection on from masonry walls. A dataset with photos produced containing complex backgrounds various types sizes....
This paper aims to improve automation in brick segmentation and crack detection of masonry walls through image-based techniques machine learning. Initially, a large dataset hand-labelled images different colour, texture, size brickwork has been developed. Then, deep learning networks (U-Net, DeepLabV3+, U-Net (SM), LinkNet FPN (SM)) were utilised their quality was assessed. Furthermore, the ability generate geometric models structures evaluation properties detected cracks also investigated....
During the last decades, several macro-models have been proposed for modelling of infill panels' contribution to lateral strength frames. Despite all this effort, a robust model, which takes into account influence vertical load, is not yet available. Furthermore, very common case walls with openings, such as windows and doors, has neglected in code provisions that published so far. In paper, an updated macro-model, based on equivalent pin-jointed diagonal compressive strut, presented. The...
On 28 December 2020, seismic activity in the wider Petrinja area strongly intensified after a period of relative seismological quiescence that had lasted more than 100 years (since well-known M5.8 Kupa Valley earthquake 1909, which is known based on discovery Mohorovičić discontinuity). The day M5 foreshock, destructive M6.2 mainshock occurred. Outcomes preliminary seismological, geological and SAR image analyses indicate foreshocks, aftershocks were generated due to (re)activation complex...
A study of the influence brick–mortar interface on pre- and post-cracking behaviour low bond strength masonry wall panels subjected to vertical in plane load is presented. Using software based Distinct Element Method (DEM), a series computational models have been developed represent containing an opening. Bricks were represented as assemblage distinct blocks separated by zero thickness interfaces at each mortar joint. sensitivity studies performed supported with regression analysis...
The generation of numerical models for masonry structures is a timely and costly procedure since it requires the discretization large quantity smaller particles. Similarly, traditional visual inspection involves cautious consideration each element on construction. In both cases, brick needs to be considered individually. work presented in this document aims alleviate issues arising from documenting individual units cracks structure using computer vision convolutional neural networks (CNN)....
This paper presents the development of a framework for parametric design tunnels using geographic information system (GIS) mapping and building modelling (BIM). According to framework, representation each component (e.g., layers rock mass, size excavation, topography, fault geometry, primary lining, secondary bolts, etc.) can be incorporated in GIS model with high levels detail used automatic generation numerical models tunnel construction. evaluation allows designer consider several...
Masonry arch bridges continue to form a pivotal part of the transport networks UK and many other countries worldwide. However, their three-dimensional response (3D) under loading has date been relatively little investigated. Here, details large-scale masonry bridge load tested failure laboratory conditions are presented. The consisted brickwork barrel, abutments, spandrel walls, compacted limestone as backfill material. Patch was applied surface at quarter three-quarter span points assess...