CONSTRUCTION DESIGN �PROJECT

Dr Adewale Abimbola, FHEA, GMICE.

www.edulibrary.co.uk

Artificial Intelligence & Emerging Technologies

Objectives: at the end of the lesson, the students should be able to:

• Explain the current applications of AI in design processes
• Discuss the current applications of AI in construction processes
• Explore the current applications of emerging technologies in design and construction processes

ARTIFICIAL INTELLIGENCE (AI) IN DESIGN PROCESSES

• AI refers to computer systems capable of performing tasks that typically require human intelligence
• These tasks include:
• Visual perception
• Speech recognition
• Decision-making
• Language translation
• This topic will consider the two different types of AI systems:
1. Narrow AI
2. Generative AI

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Narrow AI

• These are AI systems designed to perform specific tasks. Also known as "weak AI“.

• They are focused on singular tasks or domains.

They lacks general intelligence or self-awareness

• Examples include:

• Virtual assistants (e.g., Siri, Alexa)
• Recommendation systems on streaming platforms
• Facial recognition software

Generative AI

• These are AI systems capable of creating new content.
• They can generate text, images, audio, or other data types
• It learns patterns from existing data and produces novel outputs based on learned patterns.
• Examples include:
• Large language models (e.g., GPT-3)
• Text-to-image generators (e.g., DALL-E)
• Music composition AI

ARTIFICIAL INTELLIGENCE IN DESIGN PROCESSES

• Building Information Modeling (BIM) Enhancement

AI improves clash detection and resolution

Case study: Skanska using AI-powered BIM and VR for complex infrastructure projects

• Energy Efficiency Optimisation

AI analyses designs for optimal energy performance

Example: Cove.tool using machine learning for sustainable building design

• Design Visualisation

AI enhances 3D modelling and virtual reality representations

Case study: Pix4D using AI to create 3D models from aerial imagery

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ARTIFICIAL INTELLIGENCE IN DESIGN PROCESSES

• Structural Integrity Assessment

Machine learning algorithms evaluate design strength and stability

Case study: AI-powered tools analysing non-destructive testing data for structural weaknesses

• AI Image Rendering Tools/AI Architecture Sketch

Transform your sketch to an AI image

Example: Fabrie AI, mnml.ai, Prome AI, Midjourney, etc.

• Natural Language Processing for Brief Creation

AI AI assists in defining project scope and objectives

Example: GPT-3/4 based tools helping craft design briefs

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ARTIFICIAL INTELLIGENCE IN DESIGN PROCESSES

• Automated Sketching and Concept Generation

AI generates initial design concepts based on input parameters

Example: Nvidia's GauGAN turning rough sketches into photorealistic images

• AI Image Generation Tools

It creates an image from scratch from a text description. Create an image from text prompt

Example: DALL·E 3 for an easy-to-use AI image generator.

Midjourney for the best AI image results.

• Rapid Prototyping/Generative Design

AI accelerates the creation of digital prototypes

Example: Autodesk's Fusion 360 with generative design capabilities

Other example: Revit.

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ARTIFICIAL INTELLIGENCE IN CONSTRUCTION PLANNING

• Resource Allocation and Scheduling

AI optimises workforce and equipment deployment

Example: ALICE Technologies' AI-powered construction simulation and optimisation

• Cost Estimation

Machine learning improves accuracy of cost predictions

Case study: Togal.AI automating quantity take-offs for more precise estimates

• Material Selection Optimisation

AI recommends sustainable materials based on project requirements

Example: AI tools analysing environmental impact of different material choices

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ARTIFICIAL INTELLIGENCE ON CONSTRUCTION SITES

SAFETY MONITORING

Computer vision detects safety violations in real-time

Example: Smartvid.io using AI to analyse site photos and videos for safety issues

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QUALITY CONTROL

AI-powered drones and robots inspect work quality

Case study: Doxel's autonomous robots for progress monitoring and quality control

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ARTIFICIAL INTELLIGENCE ON CONSTRUCTION SITES

Equipment Monitoring and Predictive Maintenance

• IoT sensors and AI predict equipment failures
• Example: Caterpillar's use of AI for predictive maintenance on construction machinery

EMERGING TECHNOLOGIES IN CONSTRUCTION

3D PRINTING

• AI optimises 3D printing processes for construction
• Case study: ICON's 3D-printed homes using AI for design and production optimisation

• AI enhances AR applications for on-site visualisation
• Example: Trimble's SiteVision using AI and AR for precise geolocation of BIM models
• Example: VR walkthroughs for stakeholder engagement in large-scale projects

AUGMENTED REALITY (AR) FOR CONSTRUCTION

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EMERGING TECHNOLOGIES IN CONSTRUCTION

AUTONOMOUS CONSTRUCTION VEHICLES

• AI enables self-operating construction equipment
• Case study: Built Robotics' autonomous excavators and bulldozers

• Site surveying and mapping
• Generates accurate topographical data
• Example: Drones with LiDAR technology for precise terrain mapping

DRONES AND AERIAL IMAGERY

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EMERGING TECHNOLOGIES IN CONSTRUCTION

INTERNET OF THINGS (IOT) AND CONNECTED SITES

• Real-time equipment tracking and optimisation
• Improves resource allocation and reduces downtime
• Example: IoT sensors on construction vehicles for fleet management

• Environmental monitoring and compliance
• Tracks air quality, noise levels, and other environmental factors
• Case study: Smart city projects using IoT for construction impact monitoring

INTERNET OF THINGS (IOT) AND CONNECTED SITES

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EMERGING TECHNOLOGIES IN CONSTRUCTION

H&S considerations in construction

• Using exoskeleton to mitigates musculoskeletal disorder
• Example: Using exoskeletons to lighten the load for construction workers.

EMERGING TECHNOLOGIES IN CONSTRUCTION

PRACTICAL BENEFITS OF AI & EMERGING TECHNOLOGIES DURING THE DESIGN STAGE

• Rapid generation of multiple design options.
• Enhanced stakeholder engagement through VR visualisations.
• Improved coordination between disciplines using BIM.
• More accurate preliminary cost estimates.
• Reduced errors through automated clash detection.
• Improved spatial understanding through AR.��

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PRACTICAL BENEFITS OF AI & EMERGING TECHNOLOGIES DURING THE DESIGN STAGE

• Enhanced sustainability performance through AI-driven optimisation.
• Faster production of accurate specifications.
• Reduced risk of non-compliance with building regulations
• More comprehensive performance testing before construction
• Enhanced document security and traceability�

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CHALLENGES OF AI & EMERGING TECHNOLOGIES DURING DESIGN STAGE

• Ensuring AI-generated designs meet all project requirements

• Technical limitations of VR for detailed design work

• Learning curve for new AI-powered tools

• Balancing AI suggestions with human creativity

• Integrating AI tools with existing workflows�• Ensuring data security in cloud-based collaboration platforms

• Maintaining design intent while using parametric tools�• Validating AI-generated energy performance predictions

• Ensuring AI-generated specifications meet project-specific requirements

• Keeping automated compliance tools up-to-date with changing regulations�• Managing the complexity of digital twin models�• Integrating blockchain technology with existing document management systems

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Self-assessment Task

Consider three design stages of RIBA plan of works below and discuss the AI and emerging technologies utilised during each stage.

Also, include the practical benefits, and challenges, of utilising these AI and/or emerging technologies.

• Stage 2 – Concept Design
• Stage 3 – Developed Design / Spatial Coordination
• Stage 4 – Technical Design

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BIBLIOGRAPHY

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Autodesk In. (2024) The rise of AI in construction. Available at: https://www.autodesk.com/blogs/construction/ai-construction/ (Accessed: 05 September 2024)

Avidxchange (2024) 9 AI applications in construction. Avalable at: https://www.avidxchange.com/blog/ai-applications-in-construction/ (Accessed: 05 September 2024)

Designing Buildings Ltd. (2024) The long expanding list of AI tools for building planning, design, construction and management. Available at: https://www.designingbuildings.co.uk/wiki/The_long_expanding_list_of_AI_tools_for_building_planning,_design,_construction_and_management#Dall.E_1_.2F_2_and_3 (Accessed: 06 September 2024)

Dockery, D. (2024) AI in construction has landed. Available at: https://www.constructconnect.com/blog/ai-in-construction-has-landed (Accessed: 06 September 2024)

Neural Concept (2024) AI product design: benefits and applications. Available at: https://www.neuralconcept.com/post/the-future-of-product-design-ais-impact-on-industries (Accessed: 05 September 2024)

Paqvalén, M. (2024) 10 benefits and challenges of AI in construction. Available at: https://buildbite.com/insights/ai-in-construction-benefits-and-challenges (Accessed: 05 September 2024)

Rao, S. (2022) The benefits of AI in construction. Available at: https://constructible.trimble.com/construction-industry/the-benefits-of-ai-in-construction (Accessed: 05 September 2024)

The RIBA Journal (2024) How can architects tailor AI to improve their practice?. Available at: https://www.ribaj.com/intelligence/how-can-architects-tailor-ai-to-improve-their-practice-autodesk (Accessed: 06 September 2024)

Yun, C. (no date) Available at: https://www.basic.ai/blog-post/7-useful-applications-of-ai-in-construction (Accessed: 05 September 2024)

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