MapCPT

MapCPT is an advanced, theory-based software solution that automates every stage of CPT data analysis, from raw measurements to final liquefaction assessments. It leverages machine learning in a theoretically accepted manner, primarily for geo-statistical and geospatial analyses such as building variograms to ensure robust insight into subsurface variability.

Unlike many AI-driven tools, MapCPT directly applies recognized geotechnical frameworks (e.g., Robertson 2010, Boulanger & Idriss 2014) in a fully automated workflow and can automatically generate 3D Plaxis models for more in-depth numerical simulations.

By eliminating human transcription errors and subjective interpretation, MapCPT delivers consistent, reliable results for soil classification and liquefaction potential, accelerating decision-making while maintaining engineering rigor.

Mapping Confidence in the Ground.

Efficiency & Versatility
CPT is more efficient and versatile compared to classical methods. It is adaptable to various site conditions and can measure multiple parameters, such as tip resistance, sleeve friction, and pore pressure, all in a single test. This versatility makes CPT a valuable tool for geotechnical, lithostratigraphic, and hydrogeological characterization.

Reliability & Repeatability
The reliability of CPT is a key advantage, with results that are both consistent and reproducible. Modern cones have the potential for a high degree of accuracy and repeatability (~0.1% of full-scale output, FSO), as reported by Peter K. Robertson, 2001.

Cost-Effectiveness
CPT reduces the need for extensive laboratory testing, making it a cost-effective solution for soil investigation. The continuous data can be processed quickly and integrated into geotechnical analysis systems, further enhancing its economic benefits.

Assessment of Soil Liquefaction & Ground Improvement
CPT is especially effective in evaluating the potential for soil liquefaction, a critical consideration in earthquake-prone areas. Its ability to deliver reliable and repeatable results makes it ideal for assessing the success of conducted ground improvement techniques, providing engineers with the necessary data to ensure the stability and safety of construction projects.

Wide Acceptance
CPT is gaining wide acceptance due to its accuracy, continuous data acquisition, and reliability. CPT can overcome some of the shortcomings of classical borehole and testing methods by providing a more efficient and versatile method for geotechnical, lithostratigraphic, and hydrogeological site characterization.

IMAGINE

A webtool able to....

Automated Soil Classification: Picture an automated system that instantly classifies soil, ensuring faster and more informed decisions during site investigations.

Uncertainty Reduction: Imagine reducing the uncertainty in soil characterization with accurate, reliable data essential for the success of critical engineering projects.

Geospatial Variability Mitigation: Visualize a tool that guides engineers in real-time to address the challenges of geospatial variability, ensuring comprehensive soil analysis.Optimal CPT Point Recommendations: Consider a system that strategically recommends additional CPT testing points, optimizing resource allocation and improving the accuracy of soil assessments.

Prediction of CPT Measurements: Imagine a tool that predicts CPT measurements in untested areas, providing a complete and holistic view of subsurface conditions, aiding in the creation of detailed AGS files.

3D Subsurface Modeling: Envision creating detailed 3D models of subsurface layers on-site, enhancing visualization, and understanding soil properties and behavior, crucial for designing robust structures.

Instant 3D PLAXIS Model Creation: Visualize the potential for soil liquefaction and assess ground improvement techniques instantly, helping engineers make timely, data-driven decisions on-site.

works

How

MapCPT

Watch the videos in each tab below to know how MapCPT works...

Upload

The Upload feature in MapCPT provides an intuitive way to add new Cone Penetration Test (CPT) measurements to the platform. By selecting a CPT file (e.g., Excel spreadsheet), the software automatically extracts column headers, previews the data, and allows you to specify relevant fields—such as depth, cone tip resistance, sleeve resistance, and more—alongside important metadata like coordinate type (latitude/longitude or UTM) and elevation. Once uploaded, MapCPT checks for potential duplication at the specified coordinates, and if confirmed, immediately places a blinking marker on the interactive map to confirm successful insertion. Additional options let you fetch the ground elevation automatically, set data access permissions, and record organizational information.

Map

The Map feature in MapCPT offers an interactive, world-based interface where you can view and manage all your Cone Penetration Test (CPT) points—be they raw, analyzed, or predicted. By overlaying markers of different colors for each data type, MapCPT clearly distinguishes between CPT statuses. You can draw shapes (e.g., polygons, rectangles, or polylines) directly on the map to automatically detect CPTs within—or near—those drawn regions (with a customizable distance threshold for lines). Additionally, built-in coordinate search options (latitude/longitude or easting/northing + UTM zone) make it straightforward to zoom to a specific location and identify CPTs in that area. Once CPTs are detected, they appear in a selectable table that you can customize (e.g., toggling “included” or removing certain points). Coupled with the toggles to show/hide different CPT categories, the Map module is a versatile tool for visually exploring, filtering, and organizing your CPT data.

Plot

The Plot feature in MapCPT enables you to quickly visualize your Cone Penetration Test (CPT) measurements and examine raw data trends. By selecting (or clicking on) a CPT location—via latitude/longitude or through integrated map interactions—the software retrieves depth-wise data (e.g., tip resistance, sleeve friction, and pore pressure) and automatically generates multiple 2D plots for side-by-side comparison. You can choose between conventional latitude/longitude inputs or UTM coordinates; MapCPT also displays all available CPT points on a map, letting you recall their data instantly if they are open-access. Once recalled, MapCPT automatically organizes the CPT data into standard columns, creates interactive charts (depth vs. qc/fs/u2), and provides a summary table for direct inspection or further analysis—all in an intuitive interface that simplifies exploring and comparing the raw CPT values.

Classify

MapCPT’s Classify feature elevates traditional CPT data analysis by employing Robertson’s 2010 soil classification method, an industry-recognized framework for identifying soil behavior types. In addition to seamlessly reading Excel-based CPT measurements, the tool computes key parameters (e.g., overburden stress, corrected tip resistance, normalized friction ratios) and generates advanced plots—such as Robertson classification charts—for visual verification and deeper insight. Professionals can adjust factors like groundwater table depth or soil unit weight, export detailed PDF or Excel reports (including chart screenshots), and even store or recall data from the local database. This robust classification workflow allows engineers, researchers, and students to quickly transform raw CPT readings into meaningful soil profiles, thereby contributing toward safer designs and a broader understanding within the geotechnical community.

Lithology

MapCPT’s Lithology feature provides geotechnical engineers with a powerful means to build cross-sections and interpret soil strata based on multiple CPT locations. By interactively drawing shapes (polygons, rectangles, or polylines) on the map, you can auto-detect CPTs (either raw or analyzed) within or near those shapes and then merge their data into a unified lithological view. This tool automatically calculates and displays key soil parameters (qc, fs, u2) along a horizontal axis (chainage), plotting both a cross-section of soil layers and a color-coded lithology chart to depict different soil types. Engineers can also assess variability by using statistical “fluctuation” toggles, which compute vertical and horizontal deviations in qc, fs, or u2 across CPT points. The generated cross-section and lithology charts enable rapid identification of subsurface heterogeneity, thereby supporting critical design and risk evaluations.

Predict

MapCPT’s Predict feature introduces geostatistical and machine learning approaches to forecast CPT measurements—particularly tip resistance (qc), sleeve friction (fs), and pore pressure (u2)—at untested or sparsely sampled points. By combining IDW-based (Inverse Distance Weighting) methods, variogram-based techniques (kriging), and cross-validation workflows, the tool allows you to train and refine subsurface prediction models based on a set of “analyzed” CPT points in a region. You can draw polygons or lines on the map to detect and assemble training CPTs, then place new “prediction pins” (black markers) to generate a full 0–25 m profile of qc/fs/u2 at each pin location. Results are visualized in both 2D cross-sections and 3D color-coded scatter plots, offering a flexible way to evaluate potential geospatial variability and reduce site investigation risks. This advanced capability empowers geotechnical professionals to optimize their borehole/CPT layout, estimate cost-effective testing scenarios, and gain deeper confidence in their ground models

3D Model

The 3D Model component accelerates geotechnical engineering workflows by automatically generating a volumetric representation of the subsurface, derived from multiple CPT measurements (particularly those already analyzed). After drawing a polygon to define the area of interest and detecting the relevant CPTs, MapCPT allows you to combine layer-by-layer soil information and quickly build a 3D terrain model. Each soil layer is assigned correlated properties (unit weight, cohesion, friction angle, Young’s modulus, etc.) based on the CPT data itself. With one click, you can export this geometry and corresponding Mohr-Coulomb parameters into PLAXIS 3D, drastically reducing the time and effort needed for advanced numerical modeling. By automating the parameter estimation for each layer, this 3D Model tool ensures more reliable designs and deeper insight into site behavior—an indispensable feature for geotechnical professionals.

Assess

In MapCPT, the liquefaction assessment module integrates Idriss & Boulanger (or other established) correlations with the Robertson 2010 classification approach. It takes the corrected cone resistance (𝑞𝑐q c ), sleeve friction (𝑓𝑠f s ), and pore pressure (𝑢2u 2 ) from CPT data, computes indices like (𝑞𝑐1𝑛)(q c1n ) and the soil behavior type index (𝐼𝑐)(I c ), then applies simplified seismic loading (CSR) and cyclic resistance (CRR) relationships. Factors such as effective overburden and depth-dependent reduction (𝑟𝑑r d ) are included, producing plots of CRR vs. CSR and Factor of Safety (FS) vs. depth. This yields a transparent, reproducible means to identify whether specific soil layers are susceptible to liquefaction under the design earthquake event.

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MapCPT

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Map

Plot

Classify

Lithology

Predict

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Assess

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