Autodesk invests £2M in construction material tracking firm

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Buildings, Vol. 16, Pages 3887: Predicting the Construction Age of Vernacular Buildings from Facade Features Using Machine Learning

CivilEng, Vol. 6, Pages 56: Parametric Study of the Physical Responses of NSM CFRP-Strengthened RC T-Beams in the Negative Moment Region

Construction Materials, Vol. 6, Pages 2: Design of Recycled Aggregate Fiber-Reinforced Concrete for Road and Airfield Applications Using Polypropylene Fibers and Fly Ash

Infrastructures, Vol. 11, Pages 346: Effect of Activator-to-Binder Ratio and Curing Temperature on the Properties of Low-Density Alkali-Activated Mortar Incorporating Phragmites Australis Ash

Geotechnics, Vol. 6, Pages 20: Physics-Constrained Machine Learning Modeling for Geotechnical Data Prediction: Case Study on Site Soil Type and Bedrock Depth Datasets

Buildings, Vol. 16, Pages 3891: Context-Grounded Conceptual Design of an Environmentally Sustainable Hotel in Shiraz, Iran: Biomimicry, Voronoi Geometry, and Solar Energy Generation

CivilEng, Vol. 6, Pages 57: Evaluation of Non-Proprietary Ultra-High-Performance Concrete (UHPC) to Resistance of Freeze–Thaw

Construction Materials, Vol. 6, Pages 3: Hydrophobic Modification of Concrete Using a Hydrophobizing Admixture