Please Note: GEOKON will be closed Thursday, November 28 and Friday, November 29 for the Thanksgiving Holiday. Normal business hours resume on Monday, December 2.

  Loading... Please wait...

Session 03

Geotechnical Instrumentation Data Analysis Tips and Tricks
(Part 1 • Data Management)

Image of data graph.
Posted November 18, 2021

Geotechnical instrumentation data analysis starts with good planning.

Define the geotechnical questions that need to be answered:

  • Every instrument on a project should be selected and placed to assist in answering a specific question: If there is no question, there should be no instrumentation—Ralph Peck

Define the purpose of the instrumentation:

  • Instrumentation should not be used unless there is a valid reason that can be defended—John Dunnicliff

To set up an instrumentation and monitoring program for success, start with defining the data management requirements for the project

Data Management

  • Identify the parties involved and the needs of each party
  • Define what success looks like before the project starts
  • Select a data management system that is appropriate for your organization/project
  • Conduct system validation testing (small scale pilot program)
  • Management of factory calibration “sheets”
    • procedure for updating calibrations
  • Procedure for data screening
  • Procedure for setting appropriate collection frequencies | reviewing schedules
  • Data calculation instructions (with example)
  • Procedure for plotting data (with example)
  • Procedure for reporting data to Engineer of Record, owner, or stakeholder
  • Automated systems shall include backups | data access | data security

Once the data management requirements are set, determine how data will be collected from each instrument on the project.

Data Collection

  • Collection of instrumentation data
    • Follow manufacturer’s recommendations
    • Documented procedure for data collection
    • Maintain field data records
  • Personnel qualifications and responsibilities
    • Training | Refresher Courses
  • The role of automated data acquisition systems
    • No automatic system can replace engineering judgement
    • Role is to reduce non-value-added work
    • Formal initial readings (on site zero reading at thermal equilibrium)
    • Field calibration for nontraditional sensors
    • High frequency readings until sensor/conditions are stable
    • Lower frequency readings for monitoring
  • Take readings at the rate at which site conditions are changing
    • Consider construction activity
    • Consider requirements of data transmission, processing, and interpretation
    • Collection of unnecessary data should be avoided
      • allowing attention to be focused on the critical parameters to be monitored which can provide early indication of a developing problem
    • Subsets of instruments can be assigned for real-time monitoring
      • to track the vital signs of the structure as a primary detection network and less frequent readings for designated secondary instruments

Now that the raw data is collected and managed in a systematic way, set the procedure for converted the raw data into engineering units that can be used to make quick, informed decision.

Data Processing

  • Provide rapid assessment to detect changes requiring action
  • Summarize and present data to:
    • show trends
    • compare observed with predicted behavior
  • Should be automated wherever possible
    • Raw data should always be retained
    • Automated data conversions should be validated by a qualified person
  • Personnel qualifications
    • requires significant judgement
    • do not delegate to inexperienced personnel

‹ Session 02Session 04 ›

top