00740655

Component

https://doi.org/10.3141/1582-08

http://scholar.google.com...Ladd&publication_year=1997

Construction of a major industrial facility on soft clay was accomplished by staged loading to consolidate and thus increase the strength of foundation soils before the complete final load was applied. Extensive in situ and laboratory testing allowed a formal observational approach to be used, in which uncertainty analysis of the preliminary design was combined with field monitoring data to update soil parameter and site condition estimates. Traditional Bayesian methods were used to modify initial estimates and thus to update predictions of facility performance in the later stages of construction.

This paper appears in Transportation Research Record No. 1582, Centrifuge Modeling, Intelligent Geotechnical Systems, and Reliability-Based Design.

English

p. 49-52

1997

Transportation Research Record

0309061571

References (5)

Consolidation; Construction; Field tests; Forecasting; Foundation soils; Laboratory tests; Loading and unloading; Monitoring; Performance; Soft clays; Soils

Performance prediction; Soil consolidation

Construction; Geotechnology; Highways; I42: Soil Mechanics; I50: Construction and Supervision of Construction

TRIS, TRB

Sep 10 1997 12:00AM

• ESTIMATION OF VERTICAL CAPACITY OF SINGLE PILES CONSIDERING UNCERTAINTY
• INNOVATIVE AND RAPIDLY INSTALLED MECHANICALLY STABILIZED EARTH SYSTEM FOR HIGHWAY EMBANKMENTS: MODEL STUDIES
• MODELING TIME-DEPENDENT BEHAVIOR OF PAVEMENT DRAINAGE USING LINEAR SYSTEM IDENTIFICATION AND NEURAL NETWORK TECHNIQUES
• NEURONET-BASED APPROACH TO MODELING THE DURABILITY OF AGGREGATE IN CONCRETE PAVEMENT CONSTRUCTION
• PHYSICAL MODELING OF FOUNDATIONS FOR NORTHUMBERLAND STRAIT CROSSING
• PREDICTING COLLAPSE POTENTIAL OF SOILS WITH NEURAL NETWORKS
• RELIABILITY EVALUATION OF AASHTO DESIGN EQUATIONS FOR DRILLED SHAFTS
• RELIABILITY-BASED PERFORMANCE MODEL FOR LARGE BRIDGE COMPONENT SYSTEMS
• UNCERTAINTY ANALYSIS OF TUNNEL ROOF STABILITY
• USE OF CENTRIFUGE AND NUMERICAL MODELING IN DESIGN OF PIER 400 AT THE PORT OF LOS ANGELES