eBooks :: Kembali

eBooks :: Kembali

Advances in predictive models and methodologies for numerically efficient linear and nonlinear: aalysis of composites

edited by Marco Petrolo (Springer Nature, 2019)

 Abstrak

This book gathers contributions addressing issues related to the analysis of composite structures, whose most relevant common thread is augmented numerical efficiency, which is more accurate for given computational costs than existing methods and methodologies. It first presents structural theories to deal with the anisotropy of composites and to embed multifield and nonlinear effects to extend design capabilities and provide methods of augmenting the fidelity of structural theories and lowering computational costs, including the finite element method. The second part of the book focuses on damage analysis; the multiscale and multicomponent nature of composites leads to extremely complex failure mechanisms, and predictive tools require physics-based models to reduce the need for fitting and tuning based on costly and lengthy experiments, and to lower computational costs; furthermore the correct monitoring of in-service damage is decisive in the context of damage tolerance. The third part then presents recent advances in embedding characterization and manufacturing effects in virtual testing. The book summarizes the outcomes of the FULLCOMP (FULLy integrated analysis, design, manufacturing, and health-monitoring of COMPosite structures) research project.

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 Metadata

Jenis Koleksi : eBooks
No. Panggil : e20506097
Entri tambahan-Nama orang :
Subjek :
Penerbitan : Switzerland: Springer Nature, 2019
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik: xiii, 193 pages : illustration
Tautan: https://doi.org/10.1007/978-3-030-11969-0
Lembaga Pemilik: Universitas Indonesia
Lokasi:
  • Ketersediaan
  • Ulasan
  • Sampul
No. Panggil No. Barkod Ketersediaan
e20506097 02-20-071744732 TERSEDIA
e20506097 TERSEDIA
Ulasan:
Tidak ada ulasan pada koleksi ini: 20506097
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