Full-Scale Load Testing and Extraction of Augered Cast-in-Place (ACIP) Piles in Central Florida

Author(s):  
Antonio Marinucci

A full-scale field demonstration project consisting of installation, instrumentation, testing, and extraction of augered cast-in-place (ACIP) piles located in central Florida was undertaken in conjunction with the Florida Department of Transportation and the University of South Florida. Seven instrumented ACIP piles, with a nominal diameter of 457 mm (18 in) or 610 mm (24 in), were installed in mainly sand and silty sand. Load testing was performed on six ACIP piles: two in compression, two in tension, and two laterally. In addition, one of the ACIP piles was extracted for visual inspection and comparison to predictions and measurements. The program demonstrated the fully monitored installation and load tested performance of instrumented ACIP piles, along with the use of manual and automated monitoring; use and accuracy of embedded instrumentation, including thermal integrity profiling (TIP) and embedded strain gages; load-displacement behavior of tested ACIP piles; and the integrity and as-constructed geometry of an exhumed ACIP pile. This paper presents the details, results from the different testing performed, and observations from the experimental field program.

2021 ◽  
Vol 22 (1) ◽  
pp. 89-93
Author(s):  
Paul Sohl

In 1996, the Florida High Tech Corridor Council was established as an economic development initiative of the University of Central Florida, the University of South Florida, and the University of Florida with a mission to attract, retain, and grow high tech industry and innovation—and the workforce to support it—in a 23-county region. Recognizing the importance of high tech innovation to the overall region's economic health and growth, it established its cornerstone Matching Grants Research Program (MGRP), connecting local high tech companies with university researchers to further technological innovation and introduce new technologies into the marketplace. Since its inception, the MGRP has contributed to more than 120 patents and generated more than $1 billion in downstream economic impacts. The MGRP model for economic development has been internationally recognized by organizations such as the State Science & Technology Institute for its support of technology commercialization and regional workforce development. This paper demonstrates the far-reaching impacts of partnering with MGRP through three success stories of National Academy of Inventors Fellows who have become leaders within their respective industries thanks to the boundary-breaking collaborations introduced by MGRP.


Author(s):  
Bjorn Birgisson ◽  
Gregory Sholar ◽  
Reynaldo Roque

The new 2002 AASHTO guide for the design of pavement structures is based on mechanistic principles and requires the dynamic modulus as input to compute stress, strain, and rutting and cracking damage in flexible pavements. The 2002 AASHTO guide has three different levels of analysis; the level used depends on the importance of the pavement structure in question. Dynamic modulus testing is required for Level 1 pavement analysis, whereas no laboratory test data are required for Level 2 and Level 3 pavement analysis. Instead, a predictive dynamic modulus equation is used to generate input values. It is of significant importance to state agencies to understand how well the dynamic modulus for locally available materials compares with the predicted dynamic modulus. This paper presents the results of a study by the Florida Department of Transportation and the University of Florida that focused on the evaluation of the dynamic modulus predictive equation used in the new AASHTO 2002 guide for mixtures typical to Florida. The resulting research program consisted of dynamic modulus testing of 28 mixtures common to Florida. Results showed that on average the predictive modulus equation used in the new AASHTO 2002 flexible pavement design guide appeared to work well for Florida mixtures when used with a multiplier to account for the uniqueness of local mixtures. Results of the study also identified optimal viscosity–temperature relationships that result in the closest correspondence between measured and predicted dynamic modulus values.


1990 ◽  
Vol 4 (3) ◽  
pp. 658-660 ◽  
Author(s):  
Tommy R. Willard ◽  
David W. Hall ◽  
Donn G. Shilling ◽  
James A. Lewis ◽  
Wayne L. Currey

A survey of Florida highway rights-of-way was conducted during 1984–85 to determine the occurrence and severity of cogongrass infestation. Florida Department of Transportation district maintenance engineers surveyed 8,200 km of limited-access and other major highways (22% of highway system). Cogongrass was distributed widely from the north central region southward through the central Florida ridge north of Lake Okeechobee. Highest frequencies were in counties where cogongrass was used for forage and soil stabilization during the 1950s. The large, widely scattered cogongrass infestations probably were established during extensive roadway construction and routine maintenance which used rhizome-contaminated fill soil.


EDIS ◽  
1969 ◽  
Vol 2003 (16) ◽  
Author(s):  
Grady L. Miller ◽  
Michael S. Harrell ◽  
Gerald Kidder ◽  
Robert Black

This fact sheet gives a brief overview of a two-year project conducted by researchers of the University of Florida's Institute of Food and Agricultural Sciences (UF/IFAS) as part of contract WO#7 with the Florida Department of Transportation (FDOT). This document is ENH 872, one of a series of the Environmental Horticulture Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date October 1, 2002. https://edis.ifas.ufl.edu/ep133


HortScience ◽  
2018 ◽  
Vol 53 (7) ◽  
pp. 920-924
Author(s):  
Douglas A. Phillips ◽  
Philip F. Harmon ◽  
James W. Olmstead ◽  
Natalia A. Peres ◽  
Patricio R. Munoz

‘Flicker’ is a southern highbush blueberry (SHB, Vaccinium corymbosum) cultivar frequently selected by growers in Central and South Florida. In 2014, several growers in Central Florida experienced issues with anthracnose stem lesions and twig dieback on ‘Flicker’, resulting in a reduction in new plantings and the removal of many existing plantings. The objective of this study was to determine the level of anthracnose susceptibility of certain commercially available SHB cultivars, which information can be used to limit further use of susceptible cultivars in the University of Florida blueberry breeding program. The screening was performed using a spray inoculation of a virulent Colletotrichum gloeosporioides isolate onto whole V. corymbosum plants, followed by measurement of incidence and severity of disease over time. In repeated experiments, ‘Flicker’ and two other cultivars had a significantly higher mean number of lesions and area under the disease progress curve (AUDPC) than any other tested cultivar, and in both experiments, the observed lesions were similar in many respects to those previously reported on northern highbush blueberry (also V. corymbosum). Although the results of these experiments may ultimately indicate that Flicker has a unique genetic susceptibility to this form of anthracnose among SHB cultivars commercially grown in Florida, screening of additional cultivars must be performed for confirmation.


1980 ◽  
Vol 2 (3) ◽  
pp. 15-17

The 1979-80 Guide to Departments of Anthropology, published by the American Anthropological Association, indicates a substantial increase in the number of departments offering training or specialization in applied anthropology. A summary prepared by Gilbert Kushner, Chairperson of the University of South Florida Department of Anthropology, indicates that 28 departments are currently advertising such activities at the B.A. level, compared to 12 departments listed in the 1978-79 Guide.


Author(s):  
Marc Hoit ◽  
Cliff Hays ◽  
Mike McVay

The Florida Pier Analysis Program (FLPIER) was developed by the University of Florida Department of Civil Engineering in conjunction with the Florida Department of Transportation (FDOT) Structures Division. The program was developed in order to give pier designers a comprehensive model development and analysis tool to optimize pier designs. The current version is a nonlinear, static, soil-structure interaction suite of programs that run on a personal computer and include group pile effects, layered soil, pier columns and cap, high mast lighting, sound, and retaining walls. The program was designed to allow input to be specified graphically using “designer variables” such as spacing, offsets, number of columns, and so forth. Its use has reduced the time for model development and analysis from days to under an hour. The numerical modeling techniques used have been compared with experimental data and give highly accurate results leading to an improved overall design and reduced costs.


Author(s):  
Jorge Ugan ◽  
Mohamed Abdel-Aty ◽  
Qing Cai ◽  
Nada Mahmoud ◽  
Ma’en Al-Omari

In recent years, cycling has become an increasingly popular transportation mode around the world. In comparison with other popular modes of transportation, cycling is economical and energy efficient. While many studies have been conducted for the analysis of bicycle safety, most were limited in bicycle exposure data and on-street data. This study tries to improve the current safety performance functions for bicycle crashes at urban corridors by utilizing crowdsource data from STRAVA and on-street speed management strategies data. Speed management strategies are any roadway alterations that cause a change in motorists’ driving behavior. In Florida, these speed management strategies are defined by the Florida Department of Transportation design manual. Considering the disproportionate representation of cyclists from the STRAVA data, adjustments were made to represent more accurately the cyclists based on the video detection data by developing a Tobit model. The adjusted STRAVA data was used for bicyclist exposure to analyze bicycle crashes on urban arterials. A Bayesian joint model was developed to identify the relations between the bicycle crash frequency and factors relating to speed management strategies. Other factors, such as vehicle traffic data, roadway information, socio-demographic characteristics, and land use data, were also considered in the model. The results suggest that the adjusted STRAVA data could be used as the exposure for bicycle crash analysis. The results also highlight the significant effects of speed management strategies, such as parking lots and surface pavement. It is expected that these findings could help engineers develop effective strategies to enhance safety for bicyclists.


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