HK Expertalk x HPJI Webinar : Digital Transformation in Road Planning and Construction

Main ideas, concepts, and lessons

1) Webinar purpose and framing

• The webinar theme is “Digital Transformation in Road Planning and Construction: Integrating Geotechnical Engineering into Digital Infrastructure.”
• It emphasizes that road projects become more complex and generate large amounts of data (geotechnical, topographical, design models, construction data).
• Core question: How to connect geotechnical engineering with digital infrastructure to make road planning/construction safer, more efficient, and more reliable.

2) Geotechnical engineering perspective (speaker: Dr. Indra Nurhamdan)

• Geotechnical data is foundational because many unpredictable problems occur below the ground surface.
• That data supports:
  • Bearing capacity and settlement/deformation estimates
  • Pavement design response (subgrade conditions under the pavement)
  • Embankment and fill stability (including groundwater effects)
  • Risk reduction and cost efficiency
• Key concept: Geotechnical investigation and data are not only for design inputs—they also support construction decision-making.

Methodology / process described (geotechnical investigation + modeling)

Step 1: Collect subsurface and utility information

• Perform field investigations and obtain:
  • Soil strength and parameter data
  • Soil stratigraphy information
  • Groundwater-related information
• Underground utility identification is stressed because unknown/inaccurate utility locations cause major risks.

Step 2: Use multiple investigation methods (combined approach)

• Field methods mentioned include:
  • Preliminary survey/day study
  • Speed/field tests (as referenced in subtitles)
  • SPT test
  • Sondir test
  • Geophysical survey
• Principle: use more than one method to improve subsurface understanding.

Step 3: Conduct laboratory testing

• Testing groups mentioned:
  • Index/property tests (e.g., water content, specific gravity, limits, grain size)
  • Engineering properties tests (e.g., compaction; shear strength such as UCS, tensile/directional shear; consolidation for compressibility; permeability; chemical/durability tests)

Step 4: Underground utility investigation principles

• Accurate utility location data helps prevent:
  • Utility strikes and conflicts
  • Redesign or relocation delays
  • Added cost and rework
  • Safety risks and public service disruption
• Coordination among stakeholders and utility owners is required.

Step 5: Case study workflow using numerical modeling

• A real case is presented: repairing an underground pipe leak during road/overpass construction.
• Complexity elements included:
  • Deep excavation supported/held by a pile system and struts
  • Soft ground requiring ground improvement
  • A new leak outside the main excavation area requiring microtunneling
• Modeling approach:
  • Build 3D soil stratigraphy from multiple investigation points
  • Use correlations where laboratory samples are difficult (e.g., when SPT indicates strength where sampling quality/testing is limited)
  • Choose constitutive soil models appropriate to soil type:
    • Soft soil model for soft layers
    • Hardening soil model for stiffer/high-SPT soils
    • Correlation to parameters such as modulus based on soil type
  • Model structural elements:
    • Existing pipe parameters (diameter, thickness, modulus)
    • Second pile/retaining system (plate/continuous representations)
    • Struts/waler beams and staging sequence
  • Apply construction staging in the model rather than excavating to full depth at once
  • Compare predicted deformation against Indonesian SNI tolerances
• Results/outcomes emphasized:
  • Maximum deformations at key locations were within tolerance limits
  • Chemical grouting effectively reduced deformation (especially horizontal deformation)
  • Predictions served as thresholds for field implementation/monitoring

Final takeaway from this speaker

• Success depends on a complementary chain:
  • underground utility investigation
  • interpretation of soil parameters
  • numerical modeling
  • field monitoring
• Modeling helps anticipate critical conditions before and during construction.

3) Digital engineering/BIM perspective (speakers: Bentley Solution Engineering team—Fernando Mabini & Junius Halawa)

• Digital transformation is described as a shift from:
  • Manual, siloed processing of geotechnical data
  • toward digitized, interoperable workflows that integrate geotechnical insights into BIM/design.
• Standards and interoperability concepts referenced:
  • ISO 16739 (BIM interoperability concepts, including exchange/interchange information)
  • AFC collaboration / geotechnical interoperability format (mentioned as a scheme for geotechnical representation)
  • ISO 19650 (digital data encouragement across planning/design/execution/hand-over)
  • Eurocode (2024 parts 1 & 2): requirement for explicit ground model usage from concept through design and construction
• Key problem highlighted:
  • Many systems treat geotechnical information as static PDFs/Excel reports or disconnected deliverables.
  • This can cause design delays, cost overruns, and errors due to misinterpretation.

Methodology / workflow described (digitizing land data → ground model → BIM → analysis)

• Goal: Build a digital ground model as a “single source of truth” and enable updates when new investigation data arrives.

Digitize investigation data

• Use mobile/field apps to capture logs and lab results digitally (offline/online).
• Store/manage data in a repository (described as GIS overlay + centralized database).

Create geological/ground models

• Geological modeling uses borehole/drill data and secondary data.
• Outputs include stratum surfaces and soil stratigraphy models.

Connect ground model to BIM/design tools

• Ground model informs:
  • drill hole positioning in 3D
  • material boundaries along road/structure corridors
  • plan/profile/cross-section views
• Emphasized capability:
  • Dynamic/refreshable connection so updates to geology automatically refresh design models

Connect BIM outputs to geotechnical numerical analysis (reverse workflow possible)

• Interoperability with geotechnical analysis tools is described as:
  • transferring alignment/excavation sequences/structural reinforcement into analysis
  • using automation (including Python scripting) to reduce manual errors

Benefits claimed

• Faster reporting and design iteration (from hours to minutes in one described workflow)
• Reduced misinterpretation of soil conditions
• Better collaboration across teams and stakeholders
• Support for digital twin concepts including below-surface (“digital twin below”)

Additional guidance stated by the digital perspective speakers

• Interoperability detail level: Low LOD (e.g., LOD 100) can be enough to pass analytical geometry into geotechnical analysis.
• Data governance / formats:
  • No single universal Indonesian SNI-driven format was claimed for all geotechnical data.
  • Tools like “OpenGround” are presented as ways to manage data in a structured way.
• Data quality controls:
  • Validation/sanity checks and cross-checking against secondary data are used to validate geological interpretation.

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Practical instruction-style takeaways (as conveyed in the talk)

A) For geotechnical teams (data → model → decision)

• Perform site investigation using combined methods (e.g., SPT/sondir/geophysics + lab testing).
• Include groundwater and utility information in planning to avoid safety/cost/time risks.
• Use correlation when direct lab testing is limited, and document assumptions.
• Select constitutive soil models based on local soil behavior (soft vs stiff layers).
• Build 3D numerical models:
  • incorporate soil stratigraphy
  • incorporate soil parameters and correlations
  • incorporate structural system elements (piles/struts/waler beams)
  • incorporate staging sequences rather than full-depth excavation at once
• Calibrate/validate confidence using:
  • monitoring data (field instrumentation results)
  • deformation thresholds based on SNI (tolerances)
• Use model outputs as construction thresholds for safe implementation.

B) For BIM/digital engineering teams (workflow + interoperability)

• Digitize investigations at the source (field + lab) rather than relying on PDF/Excel-only handover.
• Create a digital ground model that supports updates.
• Connect geotechnical ground model outputs into BIM/design geometry so geology drives:
  • quantities/geometry decisions
  • foundation placement and design justification
• Ensure interoperability is refreshable:
  • updated geology automatically triggers BIM model updates.
• Support both directions:
  • geotechnical model → BIM design
  • BIM geometry/model data → geotechnical analysis environment
• Use automation (e.g., scripts) where possible to reduce manual transfer errors.
• Maintain a “single source of truth” repository (and emphasize long-term asset value of data).

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Overall conclusion emphasized by the webinar

• Digital transformation should not replace engineering judgment; it should strengthen it.
• The objective is not “more digital models,” but better, faster, more informed infrastructure decisions through:
  • reliable geotechnical data
  • modeling and calibration/monitoring
  • interoperable workflows between geotechnics and BIM/digital infrastructure

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Speakers / sources featured (identified in the subtitles)

• Sarigita — webinar host/MC introduction
• Dr. Hedi/ Hedi Rohandi Agah, ST, MSI — opening remarks; president of HPJI / IRDA
• Dr. Ir. Alfa Adib Asidqi/Asidqiki, ST, MSC, IPM — session moderator
• Dr. Indra Nurhamdan — geotechnical speaker (role of geotechnical data + case study; described work with PLAXIS/3D modeling)
• Fernando Mabini — Bentley / Solution Engineering ASEAN speaker (digital workflows, interoperability, geotechnical data ↔ BIM)
• Junius Halawa — Bentley / Solution Engineering speaker (digital ground model + BIM integration concepts)
• Hedi Rohandi Agah, Master of Engineering — closing remarks (Secretary General of the Indonesian Road Development Association / HPJI)
• MC / committee references (non-named in detail): “Q&A account,” Zoom attendance rules, and webinar committee/sponsors list below

Organizations / sponsors / supporters mentioned

• HPJI (Himpunan Pembangunan Jalan Indonesia) / Indonesian Road Development Association (IRDA)
• Solution Engineering ASEAN Benley (Bentley mentioned multiple times; subtitles appear as “Benley/Banl/Bl system”)
• PT Peplan Jaya
• PT Anugrah Krida Pradana
• PT Arya Jasa Reksatama
• PT Wahana Mitra Amerta