NSQ is a geotechnical and geostructural practice focused on the quantification of natural systems. We develop the methods, models, and technologies that improve how subsurface variability — in soils, groundwater, slopes, and the structures built upon them — is characterized and accounted for in engineering decisions.
Field and laboratory characterization of subsurface conditions — in-situ testing, remote sensing, distributed sensing — scoped to the parameters that drive the decisions downstream.
Numerical, statistical, and geospatial frameworks that treat natural variability as information rather than error. Probabilistic and reliability-based approaches calibrated against measured performance.
Specifications, QA/QC protocols, data-management systems, and decision-support tools — the deliverables that carry a method from calibration into routine use.
NSQ advances the methods, models, and technologies that improve how natural systems are characterized and accounted for in geotechnical and geostructural work.
NSQ was founded on a conviction that natural systems are engineering systems — they obey physical law, they can be instrumented, and their behavior can be described with the same rigor applied to concrete or steel. The practice exists to advance the methods by which that work is done.
Geotechnical and geostructural work sits at the interface where natural variability becomes an engineering problem. Traditional practice manages that variability through conservatism — factors of safety, empirical correlations, and assumed parameters applied across heterogeneous ground. That approach is safe, and it is expensive. It leaves performance on the table and it leaves risk unquantified.
Our work is to develop the methods, models, and technologies that close the gap. Characterizing soil, groundwater, slope, and vegetation behavior directly; calibrating analytical methods against measured performance; and translating those results into protocols, specifications, and frameworks that the broader profession can adopt. Less ground taken on faith. More ground taken on evidence.
We work with state transportation agencies, federal research programs, universities, dam and levee owners, and engineering firms who partner with us to advance the methods they rely on. Our deliverables are technical reports, specifications, protocols, and tools — the infrastructure of better practice.
Where a parameter governs a decision, we work to measure it. Assumption is reserved for what cannot reasonably be measured, and is stated as such.
Natural heterogeneity is not a nuisance to be averaged away. It is a property of the system to be modeled, reported, and used to inform the design.
Procedures, models, and data are documented such that a competent engineer could repeat the work and obtain comparable results. Transferability is the point.
Methods are matched to site conditions — not the other way around. A method that works in the lab is not a method until it works in the field.
Three capability areas, organized by the systems they address. Most engagements draw from more than one.
Our work is organized around the quantification of natural systems — the soils, groundwater, and slopes whose behavior governs geotechnical and geostructural performance — and the translation of that quantification into methods and tools the profession can use.
Analytical and numerical methods for characterizing subsurface behavior — soil variability, stability, and seepage — developed, calibrated, and documented for use in practice.
Field instrumentation, data collection protocols, and long-term performance monitoring — for instrumented test beds, technology demonstration, and validation of analytical methods.
Software, data systems, specifications, and decision-support tools that carry methods into routine use — the deliverables that make a technique adoptable.
A sample of engagements organized by the systems they address. Each describes the question that drove the work, the method developed, and the form in which it was delivered.
An instrumentation and data-reduction methodology for evaluating MSE wall performance at the reinforcement-layer scale. Combined strain gauges, inclinometers, vibrating-wire piezometers, and distributed fiber-optic sensing into a unified protocol, with reduced-data results benchmarked against AASHTO LRFD design assumptions.
A workflow integrating transient seepage analysis with limit-equilibrium and finite-element slope stability computations, parameterized against inclinometer and piezometer records from instrumented embankments. Delivered as a documented modeling protocol with worked examples.
Design and implementation of a subsurface data platform consolidating historic boring logs, laboratory records, and instrumentation into a queryable system. Developed the schema, ingestion protocols, QA/QC workflows, and export tooling, delivered alongside user documentation and adoption guidance.
Laboratory and field comparison of emerging stabilization chemistries — carbonation, microbially-induced calcite precipitation — benchmarked against conventional lime and cement treatments. Deliverables included a standardized evaluation protocol, candidate specification language, and QC sampling procedures.
A transient groundwater modeling workflow for levee reach analysis under design flood loading, including piezometer-based calibration and spatial variability parameterization. Delivered as a methodology document with a worked example reach and recommended instrumentation specifications.
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Contact us to discuss a project scope, a methodology question, or a potential collaboration. We engage with clients across the United States and welcome teaming arrangements with engineering firms, agencies, and research institutions.