How artificial intelligence is shaping the construction sector

The implementation of artificial intelligence solutions is not just a matter of gaining a competitive advantage, but plays an important role in the construction industry's efforts to solve other major challenges that are changing the planning, Construction and management methods. These challenges include decarbonization and meeting the need for net-zero emissions.

Artificial intelligence should be applied in various ways during the design and construction phases of project assets. It is clear that the construction industry should seize these opportunities

GENERATIVE DESIGN

Generative design is an approach driven by artificial intelligence that provides a variety of appropriate solutions to tackle specific projects. challenge. Users can personalize these solutions to their needs

Instead of having to worry about constraints and parameters when designing, designers can choose to inform the software of specifications and limitations. This can include everything from strength and agility to cost and performance. The generative design process then analyzes these inputs to generate potential combinations that meet specified needs.

With advanced artificial intelligence algorithms and machine learning capabilities, designers and architects are able to come up with innovative solutions that improve energy efficiency, enhance structural integrity, and make the design process more seamless

Generative design has been proven to provide many benefits. Using generative design can significantly reduce material costs by 30% and shorten construction time by 40%. Performing AI-assisted structural analysis has the potential to reduce design time by 50% while maintaining structural performance. Additionally, the U.S. Green Building Council suggests that adopting AI-driven sustainable design practices can reduce a building’s energy consumption by up to 30% and reduce carbon emissions.

BIM-based project estimating

Building information modeling refers to a collection of 3D design and modeling software tools widely used in the construction industry. These tools are specifically designed to help visualize construction designs from multiple perspectives. Integrating artificial intelligence capabilities into BIM can bring various advantages, such as the ability to perform quantity calculations, which in turn involves extracting essential information about the necessary materials.

By using BIM technology for project quantity statistics, more accurate and reliable results can be obtained, and it can also help contractors improve efficiency, reduce costs, and improve the overall quality of design, construction and operation

The application of digital engineering in the engineering industry brings many obvious benefits, such as improving the accuracy of engineering measurements and saving time. However, digital transformation also brings some challenges. One of the important issues is the human factor. How to attract and retain the necessary talents and provide them with appropriate incentives and rewards is an issue that needs to be considered. Furthermore, the skills required go beyond digital expertise. When a BIM model is incorrect, the accuracy of the BIM model will eventually become an important issue if the personnel involved lack the basic quantity surveying capabilities to identify the error

The vertical construction industry is one of the less digitalized industries First, despite the huge potential, the speed of accepting new technologies is also very slow. This phenomenon is usually due to two reasons

Many machine learning systems play the role of "black boxes" in the construction field, which means that they do not Do not explain your conclusions. Additionally, the algorithms used to make decisions are often proprietary and difficult to understand, making it difficult for construction professionals to figure out the reasons behind and methods used, creating difficulties when making recommendations. Some academic critics believe that without research into explainable AI methods, the potential of AI in construction may be limited

Construction companies often find it challenging to understand the benefits and implementation of AI systems, Because the investment costs involved are high. Making investment decisions can be challenging, especially when numerous contractors are involved and work is delivered through multiple subcontractors. This complexity makes it difficult for the industry to agree on a single, accepted AI solution. This also increases the possibility that an investment may become obsolete or unnecessary in a short period of time. Given the currency challenges facing the industry as a whole, it's understandable that organizations may be hesitant to invest in the future.

From a legal perspective, leveraging commercially available AI critical path programs may reduce disputes, thereby eliminating the requirement for expert programming witnesses. However, if the conclusion cannot be fully explained, and if the reasoning behind it cannot be tested and questioned, why would individuals whose business interests depend on the outcome want to accept it? If each member of the supply chain uses a different programming algorithm, it may Leading to different outcomes, how will this help? Governments and policymakers have a clear role to play in this issue

At this stage, one may see the emergence of a two-speed industry. In this scenario, some businesses are emerging as winners, while the barriers to others getting into the fast lane are becoming increasingly insurmountable. Information asymmetry can arise when one party has an AI solution and the other does not. Integration of the entire supply chain and synchronization of the supply chain around specific segments is also possible with AI solutions for each segment

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