The monitoring of a precast, prestressed girder bridge during fabrication and service provided the opportunity to observe temperature variations and to evaluate the accuracy of calculated strains and cambers. The use of high curing temperatures during fabrication affects the level of prestress because the strand length is fixed during the heating, the coefficients of thermal expansion of steel ...

Deep foundations are essential for the soft soil deposits that ubiquitous in Nordic countries. Precast driven displacement piles commonly used, due to ease of installation and their low cost. The stiffness strength clay surrounding will change during after pile process. This paper presents an effective stress based numerical framework elaborates set-up ageing mechanisms observed empirically. Fo...

The conventional strengthening strategy on the connection between the steel pile cap and reinforced concrete footing requires a series of complicated processes such as the distribution of reinforcing bars, their anchorage into concrete, and the usage of shear keys. This study investigates the structural performance of steel pile caps strengthened with newly proposed perfobond shear connectors s...

Precast prestreesed concrete braces are a new method for seismic strength of Concrete Structures which has the following benefits: a) no wet concrete work in construction site b) No bolt or anchorage to the existing frame c) easy to apply d) short construction period e) low construction cost, to evaluate seismic performance of strengthened structure a model consist of existing frame and concret...

A full-scale precast prestressed concrete (PC) pile-wharf specimen with a T-headed dowel bar connection detail was tested under realistic loading and boundary conditions. The testing program introduced several seismic protocols, which were determined from nonlinear dynamic analyses of typical U.S. port structure subjected to ground motions for various hazard levels. Conventional reversed cyclic...

This study examines the capability of the Relevance Vector Machine (RVM) and Multivariate Adaptive Regression Spline (MARS) for prediction of ultimate capacity of driven piles and drilled shafts. RVM is a sparse method for training generalized linear models, while MARS technique is basically an adaptive piece-wise regression approach. In this paper, pile capacity prediction models are developed...