Training course on Advanced Building Information Modeling (BIM) for Infrastructure

Civil Engineering and Infrastructure Management

Training Course on Advanced Building Information Modeling (BIM) for Infrastructure extends beyond fundamental BIM concepts, focusing on the intricate application of advanced modeling, data management, and analytical tools tailored specifically for large-scale infrastructure challenges.

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Training course on Advanced Building Information Modeling (BIM) for Infrastructure

Course Overview

Training Course on Advanced Building Information Modeling (BIM) for Infrastructure

Introduction

Advanced Building Information Modeling (BIM) for Infrastructure is a pivotal and evolving field that empowers engineering and construction professionals with sophisticated tools and methodologies to design, analyze, construct, and manage infrastructure projects with unprecedented efficiency and precision. In an era demanding sustainable, resilient, and cost-effective infrastructure development, mastering advanced BIM techniques is crucial for optimizing project outcomes, minimizing risks, and fostering seamless collaboration across the entire project lifecycle.

Training Course on Advanced Building Information Modeling (BIM) for Infrastructure extends beyond fundamental BIM concepts, focusing on the intricate application of advanced modeling, data management, and analytical tools tailored specifically for large-scale infrastructure challenges. Participants will gain intensive practical experience in leveraging BIM for complex workflows, from geospatial integration and intelligent asset modeling to advanced clash detection and lifecycle management, ensuring they are equipped to lead transformative infrastructure initiatives.

Course Objectives

Upon completion of this course, participants will be able to:

  1. Analyze the fundamental concepts of advanced BIM and its application in infrastructure projects.
  2. Comprehend the principles of BIM execution planning and collaborative workflows.
  3. Master various BIM software and tools for infrastructure modeling.
  4. Develop expertise in data management and information exchange within BIM environments.
  5. Formulate strategies for applying BIM for clash detection and constructability analysis.
  6. Understand the critical role of BIM in lifecycle management and asset operations.
  7. Implement robust approaches to quantity take-offs and cost estimation using BIM.
  8. Explore key strategies for BIM-based scheduling (4D BIM) and project progress tracking.
  9. Apply methodologies for ensuring data interoperability and open BIM standards.
  10. Understand the importance of sustainability analysis and environmental impact assessment with BIM.
  11. Develop preliminary skills in presenting BIM models and project insights to stakeholders.
  12. Design a comprehensive advanced BIM implementation plan for an infrastructure project.
  13. Examine global best practices and lessons learned in BIM for infrastructure.

Target Audience

This course is essential for professionals seeking to conduct or commission research in social protection:

  1. Civil Engineers & Infrastructure Project Managers: Needing to integrate advanced BIM into project lifecycle.
  2. BIM Coordinators & Managers: Seeking to deepen their advanced BIM application skills.
  3. Architects & Designers: Specializing in large-scale infrastructure and urban development.
  4. Construction Professionals: Interested in optimizing construction processes through BIM.
  5. Quantity Surveyors & Cost Estimators: Aiming to leverage BIM for accurate cost analysis.
  6. GIS Specialists: Looking to integrate geospatial data with BIM models.
  7. Asset Managers & Facility Operators: Seeking to utilize BIM for operational efficiency.
  8. Government Officials & Urban Planners: From infrastructure development and planning departments.

Course Duration: 10 Days

Course Modules

Module 1: Advanced BIM Concepts and Strategic Implementation for Infrastructure

  • Deep dive into advanced BIM definitions and its evolution in infrastructure.
  • Discuss the strategic benefits of BIM across the infrastructure project lifecycle.
  • Understand the challenges and opportunities in advanced BIM adoption.
  • Explore different BIM maturity levels and their implications for infrastructure.
  • Identify key performance indicators (KPIs) for BIM implementation success.

Module 2: Collaborative BIM Workflows and Execution Planning

  • Comprehend principles of effective BIM collaboration across multidisciplinary teams.
  • Learn to develop comprehensive BIM Execution Plans (BEP) for complex projects.
  • Differentiate between various collaboration platforms and cloud-based solutions.
  • Understand the importance of common data environments (CDE) in BIM workflows.
  • Plan for data sharing protocols and information exchange requirements (EIR).

Module 3: Advanced Parametric Modeling for Infrastructure Elements

  • Master techniques for creating complex parametric models of infrastructure components.
  • Learn about advanced families and component creation in BIM software.
  • Explore modeling strategies for roads, bridges, tunnels, and utility networks.
  • Discuss the use of generative design in infrastructure modeling.
  • Gain hands-on experience with advanced modeling tools (e.g., Dynamo, Grasshopper).

Module 4: Data Management, Interoperability, and Open BIM

  • Develop expertise in managing large datasets within infrastructure BIM projects.
  • Understand the challenges and solutions for data interoperability between software.
  • Formulate strategies for applying open BIM standards like IFC.
  • Discuss the role of APIs and scripting in automating data exchange.
  • Explore data validation and quality control methods for BIM models.

Module 5: 4D BIM (Scheduling) and Construction Simulation

  • Formulate strategies for integrating BIM models with project schedules.
  • Understand the process of creating 4D simulations for construction sequencing.
  • Explore methods for linking model elements to tasks and resources.
  • Analyze construction logistics and site planning using 4D BIM.
  • Learn to track project progress and deviations using scheduled vs. actual comparisons.

Module 6: 5D BIM (Cost Estimation) and Quantity Take-offs

  • Understand the critical role of 5D BIM in accurate cost estimation for infrastructure.
  • Implement robust approaches to automated quantity take-offs from BIM models.
  • Revisit techniques for linking model elements to cost databases and unit rates.
  • Discuss the challenges of cost validation and reconciliation in BIM environments.
  • Learn to generate detailed Bills of Quantities (BoQ) directly from BIM.

Module 7: Clash Detection, Coordination, and Constructability Analysis

  • Implement robust approaches to automated clash detection using BIM software.
  • Learn about different types of clashes (hard, soft, workflow) and their resolution.
  • Discuss strategies for conducting effective coordination meetings using BIM models.
  • Understand how BIM supports constructability reviews and risk mitigation.
  • Address common coordination challenges in complex infrastructure projects.

Module 8: GIS Integration and Geospatial BIM

  • Explore key strategies for integrating Geographic Information Systems (GIS) with BIM.
  • Learn about the benefits of combining spatial data with detailed building information.
  • Understand methods for importing and exporting geospatial data into BIM environments.
  • Gain hands-on experience with tools for geospatial analysis in BIM.
  • Discuss the application of GIS-BIM for urban planning and smart cities.

Module 9: BIM for Lifecycle Management and Asset Operations (6D BIM)

  • Apply methodologies for extending BIM into the operational phase of infrastructure assets.
  • Master techniques for linking asset information to BIM models for facility management.
  • Understand the principles of preventive maintenance and asset tracking with BIM.
  • Discuss the role of IoT and sensors in real-time asset performance monitoring.
  • Explore case studies of successful 6D BIM implementation in infrastructure.

Module 10: Sustainability, Energy Analysis, and Environmental BIM (7D BIM)

  • Understand the importance of sustainability analysis in infrastructure projects.
  • Explore how BIM can facilitate energy modeling and performance analysis.
  • Discuss methods for evaluating the environmental impact of design choices.
  • Learn to use BIM tools for daylighting, ventilation, and material selection for sustainability.
  • Examine strategies for achieving green building certifications through BIM.

Module 11: Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) in BIM

  • Develop preliminary skills in leveraging VR, AR, and MR for BIM visualization and collaboration.
  • Learn about the hardware and software requirements for immersive BIM experiences.
  • Discuss the applications of VR/AR for design reviews, stakeholder engagement, and site inspections.
  • Understand the benefits of immersive technologies for training and operational support.
  • Practice navigating and interacting with BIM models in virtual environments.

Module 12: Advanced Research and Future Trends in BIM for Infrastructure

  • Examine global best practices and lessons learned in advanced BIM for infrastructure.
  • Explore emerging technologies and future trends in BIM (e.g., AI, Digital Twins).
  • Discuss the legal and contractual implications of advanced BIM implementation.
  • Learn about the role of BIM in national and international infrastructure initiatives.
  • Design a comprehensive advanced BIM research or implementation plan for a specific infrastructure challenge.

Training Methodology

  • Interactive Workshops: Facilitated discussions, group exercises, and problem-solving activities.
  • Case Studies: Real-world examples to illustrate successful community-based surveillance practices.
  • Role-Playing and Simulations: Practice engaging communities in surveillance activities.
  • Expert Presentations: Insights from experienced public health professionals and community leaders.
  • Group Projects: Collaborative development of community surveillance plans.
  • Action Planning: Development of personalized action plans for implementing community-based surveillance.
  • Digital Tools and Resources: Utilization of online platforms for collaboration and learning.
  • Peer-to-Peer Learning: Sharing experiences and insights on community engagement.
  • Post-Training Support: Access to online forums, mentorship, and continued learning resources.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104

Certification

Upon successful completion of this training, participants will be issued with a globally recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

  • Participants must be conversant in English.
  • Upon completion of training, participants will receive an Authorized Training Certificate.
  • The course duration is flexible and can be modified to fit any number of days.
  • Course fee includes facilitation, training materials, 2 coffee breaks, buffet lunch, and a Certificate upon successful completion.
  • One-year post-training support, consultation, and coaching provided after the course.
  • Payment should be made at least a week before the training commencement to DATASTAT CONSULTANCY LTD account, as indicated in the invoice, to enable better preparation.

Course Information

Duration: 10 days
Location: Nairobi
USD: $2200KSh 180000

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