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  • DFI
    DFI and NDT – Parallel Histories and Mutual Benefits

    By Bernard H. Hertlein

    "When the Deep Foundations Institute (DFI) was founded, quality assurance and quality control (QA/QC) of foundation construction was rudimentary. Nondestructive testing (NDT) was a nascent technology,

    Jan 1, 2017

  • DFI
    DFI Collaborates on Risk-Based Panels

    By Derrick Dasenbrock

    Two DFI committees independently organized two complimentary panel sessions for the recent American Society of Civil Engineers' (ASCE) Geo- Risk 2023 "Advances in Theory and Innovation in Practice" Co

    Sep 1, 2023

  • DFI
    DFI Europe Monitoring and Instrumentation Committee Objectives

    By Rob van Dorp

    "AbstractThe Monitoring & Instrumentation Committee (MIC) of DFI Europe has the objective to support DFI members in concern of risk management of geotechnical matters, where monitoring and instrumenta

    Jan 1, 2014

  • DFI
    DFI Mission Executed Through Growth of Micropile Technology

    By Jim Bruce, Peggy Hagerty Duffy, Mary Ellen Large, Allen Cadden

    "Over the past 40 years, Deep Foundations Institute (DFI) has executed its mission “to bring together multi-disciplined individuals and organizations to find common ground and create a shared vision a

    Jan 1, 2017

  • DFI
    DFI Model Piledriving Contractor Proposal

    With respect to liability damages, claims and costs thereof relating to or ansmg out of contamination, special or non-special wastes, hazardous wastes or pollution in connection with the performance o

  • DFI
  • DFI
    DFI45 Annual Conference on deep Foundations 2020

    By DFI DFI

    An Online Conference

  • DFI
    DFI46 Panel on Foundation Reuse

    By Andy Boeckmann

    In early 2021, DFI formed a Foundation Reuse Task Force due to concurrent and coincidental discussions of this topic during meetings of the Subsurface Char- acterization for Deep Foundations and Test

    Feb 1, 2022

  • CIM
    DFT Study on Reactivity of Different Neutral Flotation Collectors with Cu, Zn and Pb Metal Ions in Solution

    By Manjeet Chowdhry, Qingxia Liu, Phillip Choi, Zhenghe Xu

    Computational chemistry methods, such as density functional theory (DFT), are powerful tools to quantify reagent-mineral interactions encountered in sulphide mineral flotation. A quantitative relation

    Jan 1, 2015

  • NIOSH
    Diagnosing and Controlling Moisture - Sensitive Roof in Coal Mines

    By Gregory Molinda

    Historically, coal miners have known that roof shales can deteriorate in contact with humid mine air, causing massive roof falls and injuries from falling rock. It is critical to recognize rocks prone

    Jan 1, 2008

  • IMPC
    Diagnosing And Controlling Release Of Antimony To The Process Water, Pulp/Water Electrochemistry And Its Effect On Antimony Dissolution

    By H. R. Manouchehri

    The importance of the grinding environment and its effect on sulphide minerals flotation behavior has been known for many years. The grinding environment may play a role in controlling fine and coarse

    Sep 1, 2012

  • ISEE
    Diagnosing and Modifying Off-Site Blast Effects by Seismic Means - A Case Study

    By Stuart Brashear, Robert Brush, Ben Cook

    In early 1993, the Piney River quarry owned and operated by the Blue Ridge Stone Corporation of W W? Boxley received a series of complaints from the owners of a 130 year-old historic farmhouse that ha

    Jan 1, 1996

  • ISEE
    Diagnosing and Modifying Off-Site Blast Effects by Seismic Means - A Case Study

    By Stuart Brashear, Robert Brush, Ben Cook

    In early 1993, the Piney River quarry owned and operated by the Blue Ridge Stone Corporation of W.W. Boxley, received a series of complaints from the owners of a 130 year-old historic farmhouse that h

    Jan 1, 1995

  • CIM
    Diagnosis of the Operation of a Hydraulic Classifier for Iron Ore Concentrate

    By C. Gosselin, G. M. Payenzo, C. Bazin, M. Desnoyers, G. Chevalier

    "ArcelorMittal Mines Canada operates hydraulic classifiers to reduce the silica content of an iron oxide concentrate from 4.5% to less than 1.2% SiO2. Sampling campaigns were conducted to develop a pr

    Jan 1, 2012

  • IOM3
    Diagnosis of tunnel roof stability with a robotic sensor test bed

    By G. Zhan, P. Mousset-Jones, G. Danko, J. J. K. Daemen, C. Mezei

    Paper presented at the conference Risk assessment in the extractive industries, held in Exeter, 23-24 March 1994, and first published London: IMM, 1994, preprint volume. 18pp., 12 refs. (Originally en

    Dec 1, 1994

  • ISEE
    Diagnosis of Utility Pipelines' Response to Explosives using Modal Analysis

    By Selamawit Asfaw, Mohamad Sharif

    In recent years, the use of modal analysis has increased to include many different aspects of the construction industry. Computer modal analysis can be used in determining the dynamic properties of a

    Jan 1, 2000

  • ABM
    Diagnosis Solutions For Rolling Condition And Product Quality At Metal Plants*

    By Haruki Inami, Takashi Ishida, Kazuhiro Ohara, Hiroyuki Imanari

    The highly competitive business environment of the international metals industry is driving demand for more cost-effective operation of steel making facilities, rolling mills, and strip processing lin

    Oct 1, 2019

  • SME
    Diagnostic Analysis Of Gold Associations For Several Mixed Sulphide And Carbonaceous Ores

    By G. A. Hayes

    The range of gold ores tested at AMMTEC LTD over several years has resulted in the requirement to analyse for the mode of occurrence of gold in order to assist selection of ore processing options. The

    Jan 1, 1996

  • CIM
    Diagnostic Characteristics of IOCG Deposits and IOCG-Prospective Terranes

    By Patrick J. Williams

    Defining Features of IOCGs ? Sulphur-poor Cu-Au(-Fe) deposits ? Contain low-Ti iron oxides ? Hydrothermal origin (breccia, vein, replacement) ? Local structural controls (no ?causitive? intrusions

    May 1, 2006

  • AUSIMM
    Diagnostic Monitoring of Concentrator Circuits with Random Forest Models

    Diagnostic Monitoring of Concentrator Circuits with Random Forest Models

    Sep 13, 2010