Development of mathematically motivated hybrid soft computing models for improved predictions of ultimate bearing capacity of shallow foundations

Ultimate bearing capacity (UBC) is a key subject in geotechnical/foundation engineering as it determines the limit of loads imposed on the foundation. The most reliable means of determining UBC is through experiment, but it is costly and time-consuming which has led to the development of various mod...

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Veröffentlicht in:	Journal of Rock Mechanics and Geotechnical Engineering Jg. 15; H. 3; S. 747 - 759
Hauptverfasser:	Lawal, Abiodun Ismail, Kwon, Sangki
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2023 Department of Mining Engineering,Federal University of Technology,Akure,Nigeria%Department of Energy Resources Engineering,Inha University,Incheon,South Korea Department of Energy Resources Engineering,Inha University,Incheon,South Korea Elsevier
Schlagworte:	Geotechnics Grasshopper optimization algorithm (GOA) Salp swarm algorithm (SSA) Soft computing (SC) method Ultimate bearing capacity (UBC) Soft computing (SC) method Grasshopper optimization algorithm (GOA) Ultimate bearing capacity (UBC) Salp swarm algorithm (SSA) Geotechnics Grasshopper optimization algorithm(GOA) Soft computing(SC)method Ultimate bearing capacity(UBC) Salp swarm algorithm(SSA)
ISSN:	1674-7755
Online-Zugang:	Volltext
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