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Zhoucheng Su

Researcher at Institute of High Performance Computing Singapore

Publications -  21
Citations -  445

Zhoucheng Su is an academic researcher from Institute of High Performance Computing Singapore. The author has contributed to research in topics: Representative elementary volume & Multiscale modeling. The author has an hindex of 8, co-authored 19 publications receiving 294 citations. Previous affiliations of Zhoucheng Su include National University of Singapore & Agency for Science, Technology and Research.

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Progressive damage modeling of open-hole composite laminates under compression

TL;DR: In this article, the authors proposed a model to predict the strength and damage progression of open-hole composite laminates under compressive loading (OHC) and applied it to study the size effects of OHC.
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Streamline stiffener path optimization (SSPO) for embedded stiffener layout design of non-uniform curved grid-stiffened composite (NCGC) structures

TL;DR: A bio-inspired concept of non-uniform curved grid-stiffened composite structures with embedded stiffeners (embedded NCGCs) is proposed in the paper and a method named streamline stiffener path optimization (SSPO) based on multiscale modeling is proposed for curved stiffener layout design of embedded NC GCs.
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Mechanical characterization of interfaces in epoxy-clay nanocomposites by molecular simulations

TL;DR: In this paper, the gallery interface within intercalated clay particles and the interphase region with the polymer matrix are investigated and subjected to Mode I splitting deformation through molecular dynamics simulations and characterized by their traction-separation relationships.
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Data-driven streamline stiffener path optimization (SSPO) for sparse stiffener layout design of non-uniform curved grid-stiffened composite (NCGC) structures

TL;DR: A data-driven SSPO method, which is inspired by the popular principal component analysis (PCA) in data processing, is proposed for sparse stiffener layout design, and can be integrated with either gradient-based or artificial intelligence algorithms due to the small number of design variables.
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Elastic properties of injection molded short glass fiber reinforced thermoplastic composites

TL;DR: In this article, a representative volume element (RVE) scheme is developed to describe the elastic properties of short glass fiber reinforced PA6,6 composites produced by injection molding, and a new concept, namely preferential angle, is introduced to account for the preferential alignment of fibers at different locations of injection molded composites.