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Bernardino Chiaia

Researcher at Polytechnic University of Turin

Publications -  251
Citations -  4924

Bernardino Chiaia is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Snow & Fractal. The author has an hindex of 37, co-authored 237 publications receiving 4239 citations. Previous affiliations of Bernardino Chiaia include University of Turin.

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Elastic contact between randomly rough surfaces: Comparison of theory with numerical results

TL;DR: In this paper, the authors compare the results of the analytical model with (exact) numerical results, and present some analytical results related to the theory of contact mechanics for randomly rough surfaces.
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Size effects on nominal tensile strength of concrete structures: multifractality of material ligaments and dimensional transition from order to disorder

TL;DR: In this paper, the authors show that the nominal tensile strength of concrete structures is constant for relatively large sizes, whereas it decreases with the size for relatively small sizes, and that for smaller scales a self-similar distribution of Griffith cracks is prevalent, whereas for larger scales the disorder is not visible, the size of defects and heterogeneities being limited.
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A Practical Equation for Elastic Modulus of Concrete

TL;DR: In this article, more than 3000 data sets obtained by many investigators using various materials have been collected and analyzed statistically in order to develop a reliable new equation for elastic modulus of concrete.
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Multifractal nature of concrete fracture surfaces and size effects on nominal fracture energy

TL;DR: In this paper, a post mortem on concrete fracture surfaces of specimens broken in direct tension has been carried out, yielding non-integer (fractal) dimensions of profiles, which are then related to the normalized fracture energy of the material.
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Progressive collapse of framed building structures: Current knowledge and future prospects

TL;DR: An in-depth review of the collapse typologies is proposed, with emphasis on the current techniques to study collapse propagation, i.e., numerical, experimental and analytical.