Zhenhua Wei
- (2022): Deep learning enabled particle analysis for quality assurance of construction materials. In: Automation in Construction, v. 140 (August 2022).
- (2022): Accurate prediction of concrete compressive strength based on explainable features using deep learning. In: Construction and Building Materials, v. 329 (April 2022).
- (2021): Automated detection and segmentation of concrete air voids using zero-angle light source and deep learning. In: Automation in Construction, v. 130 (October 2021).
- (2016): Formalized Representation of Specifications for Construction Cost Estimation by Using Ontology. In: Computer-Aided Civil and Infrastructure Engineering, v. 31, n. 1 (December 2016).
- (2018): Reduced-scale experiments to evaluate performance of composite building envelopes containing phase change materials. In: Construction and Building Materials, v. 162 (February 2018).
- (2020): Synthesis of nanoSiO2@graphene-oxide core-shell nanoparticles and its influence on mechanical properties of cementitious materials. In: Construction and Building Materials, v. 236 (March 2020).
- (2015): Experimental investigation on the properties and microstructure of magnesium oxychloride cement prepared with caustic magnesite and dolomite. In: Construction and Building Materials, v. 85 (June 2015).
- (2017): Early-age temperature evolutions in concrete pavements containing microencapsulated phase change materials. In: Construction and Building Materials, v. 147 (August 2017).
- (2013): Semi-automatic and specification-compliant cost estimation for tendering of building projects based on IFC data of design model. In: Automation in Construction, v. 30 (March 2013).
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