Geomechanics.io

Dewatering design for a deep well system is modelled in GeoStudio using SEEP/W to simulate transient drawdown and quantify inflow to an excavation, with wells arranged around the perimeter and pumped to lower the groundwater table below formation level. The example compares different pumping rates and well spacings, showing effects on pore water pressures, hydraulic gradients and potential instability in adjacent slopes and structures. For practitioners, it illustrates how to test alternative layouts and pumping schedules numerically before committing to well installation on site.

Eclipse Mining Technologies is rebranding and releasing a major upgrade of its SourceOne® Enterprise Knowledge Performance System (EKPS) to push AI-enabled decision support beyond mining into other large-scale industries. The new SourceOne release is positioned to integrate operational, planning and maintenance data into a single knowledge layer, aiming to make AI models more auditable and practical for site engineers and managers. For mine operators, this signals tighter linkage between short-interval control, fleet and plant data, and future cross-industry benchmarking on a common EKPS platform.

Schneider Electric has launched EcoStruxure Foxboro Software Defined Automation, billed as the first open, software‑defined Distributed Control System, combining its long‑running Foxboro DCS platform with a virtualised, hardware‑agnostic control layer. The system is aimed at hybrid and process industries, including mining, to decouple control applications from proprietary controllers and run them on standard IT infrastructure. For brownfield plants with legacy Foxboro I/A hardware, this architecture offers a staged path to modernisation, remote operations and tighter integration with existing MES and historian systems.

Seequent has added laboratory testing functionality to its OpenGround cloud geotechnical data platform, allowing soil and rock sample data captured in the field to flow directly into lab reporting workflows. The update links borehole and test pit logs, sample metadata and chain-of-custody information with laboratory test schedules and results in a single environment. For ground investigation teams, this reduces manual data re-entry between site and lab systems and should cut errors in parameters used for foundation, retaining wall and earthworks design.

OpenGround has added integrated geotechnical laboratory testing and reporting, bringing raw lab data entry, automated calculations and approval workflows into the same cloud environment as site investigation data. The release supports direct capture of test results (for example Atterberg limits, triaxial and consolidation data) with automatic population of standardised lab report formats and project databases. For practitioners, this reduces manual spreadsheet handling, simplifies traceability from borehole to design parameters, and enables multi-office teams and external labs to work on a single controlled dataset.

Geoprofessionals in mining and civil sectors are increasingly adopting AI tools but still struggle to extract value from complex, multisource subsurface datasets, according to Seequent’s 7th Geoprofessionals Data Management Report surveying over 1,000 practitioners. Respondents report data spread across multiple software platforms and large volumes of un-managed files, limiting effective integration of geological, geophysical and geotechnical information. The findings signal persistent bottlenecks in model building, QA/QC workflows and cross-discipline data sharing, despite wider availability of AI-assisted interpretation tools.

National Grid has deployed Triton, a digital twin and data visualisation platform developed with Atos, to model future electricity demand at grid supply points and transmission substations and cut infrastructure planning time by up to 70%. The tool integrates asset, demand and network constraint data to test reinforcement options virtually, allowing planners to compare multiple substation upgrade and new connection scenarios before committing to physical design. Faster optioneering is expected to de-risk programme delivery for major connections, including utility-scale renewables and high-load industrial customers.

Automating back analysis in Rocscience RS2 is enabling geotechnical teams to calibrate deep excavation models by iteratively adjusting soil stiffness, strength parameters and support properties against monitored wall deflections and ground movements. The workflow uses Python scripting and RS2’s API to batch-run hundreds of finite element models, compare calculated displacements with inclinometer data, and systematically narrow parameter ranges instead of relying on manual trial‑and‑error. This approach scales to large projects with multiple stages and construction sequences, improving confidence in design envelopes and trigger levels for observational method schemes.

Autodesk reports that contractors using its connected construction platform on infrastructure projects are delivering work up to 30 per cent faster with 25–30 per cent fewer RFIs and change orders, by integrating design models, field data and cost controls in a single environment. Case studies cite clash detection on complex bridge and roadworks, mobile issue tracking on tablets, and centralised document control cutting rework and site delays. For geotechnical and civil teams, the data suggests tighter control of design revisions, as-built records and subcontractor coordination under labour and supply constraints.

Geoprofessionals worldwide now spend over 25% of their time on data management, with Seequent’s 7th Geoprofessionals Data Management Report finding mining specialists at nearly one‑third and civil engineers at over one‑fifth, yet only 39% of mining organisations and 41% of civil teams have defined data frameworks. The survey of 1,000+ respondents shows 80% of mining and 69% of civil practitioners rate data management as highly or critically important, but many still lack a centralised “single source of truth”. AI adoption is accelerating, with 51% of organisations using or considering AI, up from 30% in two years, signalling strong demand for better-structured subsurface and historical datasets.

A custom PLAXIS 3D workflow for Technip Energies has cut repetitive suction pile analyses from multiple manual runs to a single automated “one-and-done” sequence, enabling rapid variation of pile diameter, skirt length and soil parameters. The scripted process standardises boundary conditions, load cases and mesh settings, reducing analyst time and input errors while keeping full 3D finite element rigour. Earlier-stage feasibility teams can now screen more pile geometries and soil scenarios, bringing advanced geotechnical modelling into concept selection rather than reserving it for detailed design.

Emerson has released the latest version of its AspenTech Aspen Mtell® Asset Performance Management platform, adding AI-driven failure prediction on top of foundational asset health monitoring for process and mining operations. The update is designed to let operators move from simple condition-based alerts to scalable, model-based prognostics that can detect emerging equipment degradation and predict time-to-failure across critical assets such as mills, crushers and pumps. For mine operators, the key impact is earlier intervention windows, fewer unplanned shutdowns and more stable throughput without major changes to existing control systems.

Mira Geoscience has acquired SRK Consulting (Canada) Inc’s HiveMap platform, a digital geological and geotechnical field mapping system designed for efficient collection, visualisation and interpretation of geoscientific data. HiveMap integrates directly with photogrammetry and LiDAR workflows, allowing structural, lithological and geotechnical observations to be tied to high-resolution 3D surfaces and point clouds. The acquisition signals tighter coupling between field mapping, 3D geomodelling and mine-scale geotechnical analysis within Mira’s existing integrated geoscience software suite.

DIPS (Data Integration using Projected Stereonets) is being positioned as the new standard for stereonet-based orientation analysis, building on more than 30 years of use in geotechnical engineering. The software supports detailed structural mapping workflows, allowing engineers to import large orientation datasets and analyse joint sets, foliation, and discontinuity patterns directly on stereonets. For slope stability, underground excavation design, and rock mass characterisation, it enables consistent kinematic checks and data integration across projects, reducing manual plotting and interpretation time.

Fortescue is expanding its battery intelligence capabilities by acquiring US-based software company Zitara, which specialises in physics-based battery modelling and predictive state-of-health algorithms for large-format lithium-ion systems. The deal will see Zitara’s digital twin and cloud analytics tools applied to Fortescue’s heavy mining haul truck and rail battery platforms, supporting high‑cycle, high‑C‑rate duty profiles typical of iron ore operations. For mine operators, the move signals growing emphasis on accurate battery degradation forecasting, thermal management, and life‑cycle cost control in large mobile fleets and stationary storage.

Bluebeam has launched Task Link, a native integration between Bluebeam Revu and GoCanvas, plus upgraded iOS and Android apps to tighten data flow between site and office on infrastructure projects. Task Link connects PDF mark-ups in Revu directly to GoCanvas forms and checklists, enabling real-time task status updates, field issue tracking and punch list management without manual re-entry. Mobile app enhancements focus on on-site use, with improved offline access, synchronised drawings and centralised documentation to support QA records, inspections and as-built capture.

AI in construction is being positioned as a tool to optimise site processes by feeding supervisors real-time data on plant utilisation, programme clashes and safety-critical behaviours rather than removing operatives from projects. Systems combining computer vision with existing CCTV and 4D BIM models can flag exclusion-zone breaches, near-miss patterns and schedule deviations, giving planners and site engineers earlier warnings than traditional inspections. For geotechnical and civil teams, this means more data-driven decisions on sequencing earthworks, crane locations and temporary works, while still relying on human judgement for risk acceptance and design changes.

Bentley Systems has acquired Talon Aerolytics and the drone-data and AI assets of Pointivo Technology to expand its Bentley Asset Analytics portfolio, which already includes OpenTower iQ for telecom towers and Blyncsy for road networks. Talon brings an inspection and asset digitisation platform used across wireless telecom, broadband and electric utilities, combining workflow automation, digital twins and AI for recurring tower and line inspections. Pointivo adds patented AI-driven inventory and damage detection, advanced point-cloud processing, automated measurement and geolocated drone capture, aimed at continuous condition assessment for 5G roll-outs and grid modernisation.

GBM Konect is now the core field data and asset management platform for Banyule City Council in Melbourne’s north-east, supporting service delivery across more than 20 suburbs and a population above 130,000. The cloud-based, location-aware system lets crews capture condition data, photos and GPS coordinates in real time for roads, paths, drainage and open space assets, replacing paper workflows. Engineers gain a single geospatial view of assets and maintenance history, improving defect prioritisation, scheduling and compliance reporting without bespoke in-house GIS development.

Proximity to Slopes, a new calculator in the Association of Lorry Loader Manufacturers & Importers (ALLMI) app, now quantifies safe stabiliser leg positions for loader cranes working beside embankments. Users input mat width, horizontal distance from the crane base to the crest, and slope height; the tool then defines a “danger area” where stabilisers must not be placed to avoid loss of stability. For temporary works and lift planners, this offers a quick, standardised check when siting cranes on or near cuttings, bunds and roadside batters.

Infrastructure designers are increasingly turning to immersive digital twins and extended reality (XR) to close the gap between CAD abstractions and real-world performance, moving beyond static 2D and 3D screens. By integrating live sensor data, construction sequencing and asset operation scenarios into interactive models, project teams can virtually walk through stations, tunnels or bridges, test maintainability clearances and rehearse complex lifts before site work. This shift demands new workflows, with geotechnical, structural and M&E inputs federated in real time rather than exchanged as periodic drawing sets.

Dalux claims European BIM leadership after a decade of 40%+ annual growth, with its platform now on 7,800 UK projects, 1.7 million active accounts across Europe and 2024 revenues of about US $100m, all achieved debt-free and without external investment. Its SiteWalk tool in Dalux Field uses helmet-mounted 360° cameras to map images directly onto BIM models, enabling weekly visual progress tracking, integrated quality checklists and ITPs, and remote verification of works on projects such as Great Ormond Street Hospital. Usage has tripled in a year to over one million 360° images captured monthly across 38 countries, with contractors like Sisk reporting reduced reliance on third-party survey providers and wider rollout to smaller sites.

Road maintenance planning in the City of Bendigo has been overhauled using GBM Konect integrated directly with the council’s asset management system, linking live field data from graders, patching trucks and concreting crews to central asset records. Crews now capture condition data, photos and completed works on mobile devices in real time, feeding GIS-based maps that prioritise pavement interventions and reduce duplicated site visits. For contractors and councils, the approach shows how tighter integration between field data capture and asset registers can sharpen programming of resurfacing and rehabilitation works.

GeoStudio 2025.2 adds a 3D Sweep Option that extrudes 2D geometries along user-defined paths, enabling faster setup of complex 3D embankments, tunnels and slopes without full re‑meshing. The release upgrades GeoStudio Python scripting with improved object access and automation of batch analyses, and expands language support to Simplified Chinese, Brazilian Portuguese and Spanish. For practitioners, this means quicker parametric studies, easier integration with in‑house workflows, and wider deployment across multinational design teams.

Revizto is being used by Arcadis on the Warringah Freeway Upgrade in New South Wales, one of Australia’s most complex road infrastructure packages, to federate design models and site data into a single digital coordination hub. The cloud-based platform supports clash detection, issue tracking and 3D/2D model viewing across disciplines, enabling designers, constructors and client teams to work off a common data environment in real time. For geotechnical and civil teams, this centralised model management tightens interface control around retaining structures, cut-and-cover works and staging constraints on a heavily trafficked urban corridor.

Weir Group has completed its acquisition of Belo Horizonte-based Fast2Mine, adding an open-pit fleet and maintenance management platform that already supports over 85 mines, monitors 7,000+ assets and serves 25,000 daily users across Latin America, Africa, Australia and North America. Fast2Mine joins Micromine, NEXT Intelligent Solutions, MOTION METRICS and Track Pro in Weir’s new Software Solutions group, integrating planning, FMS/MMS, telemetry, analytics and AI, with deployments such as ArcelorMittal’s large iron ore operation in Liberia. Modular products like Mining Control, Maintenance Control, Telemetry Control, MineVERSE and Mining Control BI are designed for rapid, weeks-scale rollout and future semi-autonomous fleet operation.

New Civil Engineer and Construction News announced the TechFest Awards 2025 winners at a gala event at the Hilton Metropole in London, recognising digital and technical innovation across UK infrastructure and construction. Although individual project details were not released in the brief announcement, the awards typically cover categories such as digital design workflows, data-driven asset management and offsite or automated construction methods. Practitioners should watch for the full winners’ list to benchmark emerging tools and processes that are gaining traction with major clients and Tier 1 contractors.

Moxa has launched the RKP-C220 Series, its first AI-ready rackmount x86 industrial PC family designed for harsh mining sites, targeting tasks such as real-time video analytics, equipment condition monitoring and autonomous haulage support. The 2U rackmount units integrate industrial-grade components, wide-temperature operation and high shock/vibration tolerance for deployment in control rooms, substations and edge cabinets close to crushers and conveyors. For engineers, the platform is positioned as a rugged edge-compute node to host GPU-accelerated AI models without relying on remote data centres.

City of Bendigo’s Coordinator GIS & Asset Information, Paul Nicholson, is deploying GBM Konect, a mobile field management app, to overhaul how road and drainage assets are captured and maintained in the field. Konect’s flexible data model allows crews to map linear assets, attach photos and condition data offline, and sync directly to the council’s central GIS rather than relying on point-only, office-based systems. For civil and asset engineers, this means faster defect logging, fewer data transcription errors, and more reliable spatial information for pavement and drainage renewal planning.

A new algorithmic framework from MIT identifies the smallest “core” dataset needed to guarantee optimal solutions in structured decision-making problems such as geotechnical design under uncertainty. The method uses combinatorial optimisation to strip large datasets down to a minimal subset that still preserves the same optimal decision, reducing computation while maintaining solution quality. For geotechnical engineers running probabilistic slope stability, foundation or tunnel support analyses, this could cut Monte Carlo or scenario runs without sacrificing reliability in design outcomes.

Bell Equipment is rolling out an agnostic safety and autonomy platform across its articulated dump trucks and motor graders, built around its Fleetm@tic telematics system for real-time machine monitoring and control. The integrated package links collision avoidance, stability control and production tracking into a single interface, allowing mixed-fleet operations rather than locking contractors into one OEM ecosystem. For civil and mining earthworks, this enables tighter haul cycle management, better utilisation data and more consistent operator behaviour on large road and infrastructure projects.