Add on LiDAR scanner turns smartphone into ‘long-range’ reality capture solution Q3D Sensing is gearing up for the Q2 launch of AuraGO, a compact reality capture device with a LiDAR sensor that attaches directly to a smartphone or tablet to ...
CivilEng, Vol. 6, Pages 67: Colour-Coded BIM Models for Corrosion Severity Assessment in Steel Bridges CivilEng doi: 10.3390/civileng6040067 Authors: Mohammad Amin Oyarhossein Gabriel Sugiyama Fernanda Rodrigues Hugo Rodrigues This article presented a method for grading and visualising corrosion in steel ...
Platform combines on-site imagery, AI and Procore / ACC integration to create and manage tasks OpenSpace Field is a new image-based solution that enables construction teams to capture and manage snagging items, observations and issues in real time as they ...
CivilEng, Vol. 6, Pages 68: Hybrid Topology Optimization of a Concrete Structure via Finite Element Analysis and Deep Learning Surrogates CivilEng doi: 10.3390/civileng6040068 Authors: Mohamed Gindy Moutaman M. Abbas Radu Muntean Silviu Butnariu The cement industry significantly contributes to global ...
Designed to address disconnect between what is happening on site and how that reality is documented and acted upon A new integration plugs Track3D’s visual documentation and progress tracking software directly into Fieldwire, the field management software by Hilti, enabling ...
CivilEng, Vol. 7, Pages 3: Machine Learning-Based Compressive Strength Prediction in Pervious Concrete CivilEng doi: 10.3390/civileng7010003 Authors: Hamed Abdul Baseer G. G. Md. Nawaz Ali The construction industry significantly contributes to global sustainability challenges, producing 30–40 percent of global carbon ...
CivilEng, Vol. 7, Pages 4: Application of Machine Learning for Predicting Seismic Damage in Base-Isolated Reinforced Concrete Buildings CivilEng doi: 10.3390/civileng7010004 Authors: Mohamed Algamati Abobakr Al-Sakkaf Ashutosh Bagchi Base isolation is known as a useful and popular technique for seismic ...