Researchers Decode Data-Driven Analysis and Visualization in Geotechnical Engineering Practice

IoT and Big Data in Geotechnical Construction: Connecting Drill Rigs to the Cloud
It�s almost impossible these days to escape the fervor and buzz surrounding technologies and concepts such as Big Data, Internet of Things (IoT), Machine Learning (ML), and Artificial Intelligence (AI)....

Risk in Geotechnical Practice: Geotechnical Judgment
People use judgment in every aspect of their lives. We rely on our judgments to make decisions that can have consequences from small to large on ourselves and on others, sometimes with life-threatening...

Advanced Data Analytics In Geotechnics: Adapting to the Big Data Era
Everyone is talking about the impact of artificial intelligence (AI) on the future of work. In one camp are people like the industrialist Elon Musk who fear the potential evils of AI and its possible impact...

Multidisciplinary Course Addresses Tomorrow�s Smart Cities
Sean Qian, Ph.D., M.ASCE, an assistant professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University, in Pittsburgh, teaches a multidisciplinary course that focuses on...

The Wait Is Over�DIGGS Is Here!
The roll-out of Data Interchange for Geotechnical and GeoEnvironmental Specialists (DIGGS) has started, and the Ohio DOT (ODOT) has already announced that it will be required beginning January 2018. This...

Global Open Access Flood Data Set Released

A Light in the Deep: The Future of Offshore Site Investigations
For deep-water energy developments, hazard identification and risk assessments (that is, assessing the probability of occurrence along with the consequences of failure) are more important...

BIM in Geotechnics: The Benefits of Including Geotechnical Data in Building Information Modelling
Building Information Modelling (BIM) is becoming increasingly common around the world on building and civil engineering projects, but what are the benefits to geotechnical engineers and...

Sudoku and Geotechnical Solutions: Lessons from a Parallel Universe of Limited Data
Geotechnical engineering relies on data to reduce risk. We infer, interpolate, and extrapolate based on often limited data with time and cost constraints also at work. Similarly, solving...

pLog Tablet Geotechnical Data Collection Software Demo by Datafore
Demonstration of Dataforensics' pLog tablet geotechnical data collection and data management system by company president Scott Deaton....

NewsBriefs: Search Engine Streamlines Data Set Research (Oak Ridge National Laboratory)

An Analysis of Data from Wave Recorders on the Pacific Coast of the United States

NewsBriefs: Water Enforcement Data Made Public

Domestic-Well Water-Quality Data and Reports for the Environmental Public Health Tracking Network: USGS and CDC Collaboration
The mission of the Environmental Public Health Tracking (EPHT) Program is to provide information from a nationwide network of integrated health and environmental data that drive actions...

Advances in Watershed Management and Fluvial Hazard Mitigation Using Artificial Neural Networks and Remote Sensing
Watershed and channel management across spatial and temporal scales requires an informed, interdisciplinary approach by experts and stakeholders, who often have disparate goals and objectives....

Summary of Approaches for Estimating Playa Lake Flooding
Playa, or terminal, lakes are common in semi- and arid environments; and their characteristic level, hard, and usually dry surfaces make them ideal for airports, as they are used in the...

Evaluation of Satellite-Based Impervious Surface Data for the Mid-Atlantic Region Using an Independently Collected, High-Resolution Validation Database
Satellite-based estimates of impervious surfaces are being produced for the entire United States as part of the U.S. Geological Survey's (USGS) Landsat-based National Land Cover Database...

Stochastic Conditional Simulation of Berea Sandstone Geophysical Properties with a Counterpropagation Neural Network
The ability of a counterpropagation neural network to produce stochastic conditional simulations is applied and evaluated on a real dataset. This network functions as a nonparametric clustering...

Optimization of Well Placement in Groundwater Long Term Monitoring Networks
Long Term Monitoring (LTM) networks play critical roles in tracking the migration of contaminants in groundwater, evaluating the efficiency of the existing remediation techniques, and...

 

 

 

 

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