Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Parameter Identification for Granular Materials
Abstract The chapter proposes an efficient optimization procedure for identifying parameters of easily crushable sand, which is then applied to the pile driving simulation. The Nelder–Mead Simplex genetic algorithm (NMGA) is first proposed and a newly enhanced elastoplastic breakage model is adopted. Then, the performance of NMGA is validated by identifying parameters from synthetic tests, and further verified by triaxial tests on limestone grains, based on which the necessary number of objective tests is also suggested. The role of grain breakage in bearing capacity of driven pile is also discussed. All comparisons demonstrate that the proposed NMGA with breakage-model-based parameter identification procedure is efficient and effective for easily crushable sand.
Parameter Identification for Granular Materials
Abstract The chapter proposes an efficient optimization procedure for identifying parameters of easily crushable sand, which is then applied to the pile driving simulation. The Nelder–Mead Simplex genetic algorithm (NMGA) is first proposed and a newly enhanced elastoplastic breakage model is adopted. Then, the performance of NMGA is validated by identifying parameters from synthetic tests, and further verified by triaxial tests on limestone grains, based on which the necessary number of objective tests is also suggested. The role of grain breakage in bearing capacity of driven pile is also discussed. All comparisons demonstrate that the proposed NMGA with breakage-model-based parameter identification procedure is efficient and effective for easily crushable sand.
Parameter Identification for Granular Materials
Yin, Zhen-Yu (Autor:in) / Jin, Yin-Fu (Autor:in)
01.01.2019
23 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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