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Last Chance 60 hours

Data, databases, and Machine Learning for Geotechnical Engineers

Data, databases, and machine learning for civil engineers

Starts Sep 23rd

The future of civil engineering is approaching

Online Deep Excavation and Soil nail wall design Workshop

16 PDH

Nov 18-19, 2020

Deep excavation in Las Vegas

Early registration ends soon!

DeepEX 2020

Solving Deep Excavation Design

DeepEX 2017 talk to it and design your deep excavation!

Online Slope Stability, Soil Nailing, and Inclinometer Monitoring Workshop

4 hours each day, 8 PDH

Slope stability, soil nailing, and inclinometer worksho

July 15, 16, 2020

Deep Foundation Software, Pile Rafts, Pile Groups

From soil estimation to axial and lateral pile capacity

DeepFND - Deep Foundation Software, caissons, CFA, drilled piles, driven piles, concrete, timber

From soil estimation to helical pile settlement estimation.

New helical pile software HelixPile
Signup for a free trial and get our free pdf on the five most common errors in deep excavation design
What do you want to design?
DeepFND 2020: Deep Foundation software (NEW: Pile-Group/Pile Raft Analysis!)
DeepEX 2020: Deep Excavation software
Soldier pile walls
Sheet pile walls
Secant pile Walls
Tangent piles
Diaphragm Walls
Soldier and Tremied Concrete
Soil Mix walls
Combined king pile sheet piles
Slope stability
Cost estimation for braced excavations
Waler-Strut Cofferdams
Snail-Plus 2019: Soil nailing - soil nailing walls
SiteMaster: Inclinometer software (adopted by Geokon)
HelixPile: Helical Pile Software
RC-Solver: Concrete Design ACI-318, EC2, EC8
Steel-Beam: Steel beam column design, full equations, AISC, EC3
How to minimize geotechnical uncertainty and improving geotechnical property estimation, when you don't have all the data
How to minimize geotechnical uncertainty and determine soil parameters when you don't have all the data.

Geotechnical uncertainty is a major issue in deep excavation and geotechnical design. Minimizing uncertainty and estimating design soil property presents a major challenge to engineers. Most projects have only SPT test data, and different methods can result in widely varying strength estimates. Reviewers often ask for justification of estimated soil strength parameters, so how does one meet these challenges?

In DeepEX 2020 we addressed this major challenge by offering a solid framework for estimating soil parameters from well accepted correlations, from SPT, CPT, index properties, and other tests. We can then compare soil property variability with depth, in plan-view, and make informed decisions. Then design soil properties can be determined based on a statistical analysis by setting the desired lower bound values.

While there is no substitute for good laboratory and insitu strengths, very often such data is simply missing or the client is not willing to pay for it. The following figures demonstrate how we have met these challenges to offer you a solution that has your back, fully referenced, with equations, and graphs. The solution steps are:

1) Define your borehole layers and major soil types based on available geotechnical investigations

2) Define available test data, such as SPT, CPT, Plasticity Index tests, etc.

3) Select and investigate established correlations

4) Review parameter variabilty with different equations, depth, or in plan

5) Review parameter variability vs. the database recommendations

6) Select lower bound level values, typically at 5% to 25%. For example, a 5% lower bound design value represents that only 5% of the soil estimated parameters are smaller than the design level.

7) Include report with full equation references in your calculations

We are not stopping there, a new geotechnical database service by Deep Excavation will be available early in 2020. This interconnected online database will allow you to reference and import actual soil profiles and select based on a range of parameters.

This is the way forward for geotechnical engineering, this is the way forward for deep excavation design.

Estimated soil strength from SPT with DeepEX

Figure 1: SPT test data vs. estimated friction angle and elasticity modulus

Statistical soil property estimation in DeepEX

Figure 2: Statistical property estimation from a number of available boreholes and SPT test data

Variation of soil strength in plan view in DeepEX

Figure 3: Contours of estimated friction angle within a specified elevation zone


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