Penn professors Masoud Akbarzadeh of the Weitzman School and Shu Yang of the School of Engineering and Applied Science have created a 3D concrete printing system that boosts both carbon capture and ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Optimizing concrete with recycled shea nutshell ash using the Box-Behnken design, this study enhances performance metrics ...

Negative Poisson’s ratio If the Poisson’s ratio of the material if positive, then tensile/compressive strains in the x-direction produce tensile/compressive strains in the y- and z-directions, just ...

A novel concrete formulation, CoMLaG, developed through collaboration between the Graphene Engineering Innovation Centre ...

The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon ...

Modelling the longitudinal compressive failure of carbon-fibre-reinforced composites has been attempted for decades. Despite many developments, no single model has surfaced to provide simultaneously a ...

Figure 10 shows relationship between mechanical impedance and compressive strength, and exponent of the regression curve is 5.8 because Young’s modulus is 2.16 power of mechanical impedance, and ...

Compressive BLAT. To implement a compressive version of the faster BLAT algorithm, we substituted BLAT for BLAST in the coarse search step and used BLAT's local alignment algorithm for the fine ...

Hemant B. Kaushik, Durgesh C. Rai, Sudhir K. Jain, Uniaxial compressive stress–strain model for clay brick masonry, Current Science, Vol. 92, No. 4 (25 February ...