Vertical Loading on Suction Caisson Foundation
Author
Manzotti, Elia
Term
4. term
Education
Publication year
2014
Submitted on
2014-06-10
Pages
41
Abstract
Dette speciale samler to artikler fra et længere kandidatprojekt inden for konstruktion og anlæg. Den første artikel, 'Laboratory Setup for Vertically Loaded Suction Caisson Foundation in Sand and validation of Responses', beskriver en testopstilling og procedurer på Aalborg Universitet til at undersøge et sugekassefundament i sand under vertikal (aksial) belastning og validerer de målte respons. Et sugekassefundament er en hul cylindrisk kasse, der forankres i sand ved at skabe undertryk. Artiklen anvender desuden metoder baseret på data fra keglepenetrationsforsøg (CPT) samt såkaldte beta‑metoder til at estimere jordens modstand; de centrale parametre i disse metoder analyseres og tilpasses (kalibreres). Den anden artikel, 'Present Knowledge about Laboratory Testing of Axial Loading on Suction Caissons', er en state‑of‑the‑art gennemgang, som opsummerer publiceret forskning om laboratorieforsøg med aksial belastning af sugekasser.
This thesis brings together two articles from a long master’s project in Structural and Civil Engineering. The first article, 'Laboratory Setup for Vertically Loaded Suction Caisson Foundation in Sand and validation of Responses,' presents a laboratory test rig and procedures at Aalborg University to study a suction caisson foundation in sand under vertical (axial) loading and to validate the measured responses. A suction caisson is a hollow cylindrical foundation anchored in sand by creating suction. The article also applies methods based on cone penetration test (CPT) data and so‑called beta methods to estimate soil resistance; the key parameters in these methods are analyzed and fitted (calibrated). The second article, 'Present Knowledge about Laboratory Testing of Axial Loading on Suction Caissons,' is a state‑of‑the‑art review that summarizes published research on laboratory tests of axial loading on suction caissons.
[This abstract was generated with the help of AI]
Keywords
Documents