Volume 11 | Issue 10

 Abstract

Artificial intelligence isn't just a novel technology implemented for its "cool factor." Implementing AI has the potential to impact any number of business functions across your organization. .At its core, Artificial Intelligence is a constellation of many different technologies that are capable of performing tasks requiring human intelligence. When applied to the usual business tasks, these technologies can learn, act, and perform with human-like levels of intelligence. It is used to simulate human intelligence in machines, saving us a lot of time and money in doing business. To understand how it could impact your business, it helps to have an understanding of the components of artificial intelligence. Besides product recommendations, online merchants use ecommerce intelligence to provide Chabot services, analyze customer comments, and offer personalized services to online shoppers. AI plays a crucial role in e commerce by enabling businesses to analyze and understand customer behavior patterns, enhance the shopping experience, and streamline various process.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Intelligence,Processsing,Technology,Behaviour,Industry

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Building Information Modelling (BIM) has the potential to significantly improve productivity, coordination, visualization, documentation, and waste reduction in the field of structural engineering. However, achieving these benefits requires smooth data transfer from the BIM platform to structural analysis or Finite Element Modelling (FEM) software, which can be hindered by challenges in interoperability. This thesis aims to examine the possibilities of converting from the Tekla Structures BIM platform to commonly used FEM programs, including Staad.Pro, Etabs, SAP2000, SOFiSTiK, Dlubal (RFEM), SCIA (SCIA Engineer), and Robot (Autodesk), for improved structural analysis and design. The study includes three case studies, one each in concrete, steel, and composite structures, where load-bearing data is added to the central Tekla models to enable interoperability. We first review the use of BIM in structural engineering, including the impacts on structural design and workflow, key benefits, and challenges during use. We then define and theoretically research the three main levels of interoperability between BIM and FEM software: direct native file exchange, direct link or bi-directional data exchange, and IFC (Industry Foundation Class). Our case studies demonstrate the benefits of using BIM and FEM interoperability for improved structural analysis and design, including the early detection and correction of design errors, and improved collaboration between architects, engineers, and contractors. Overall, this thesis contributes to the field of structural engineering by providing practical guidance on the use of BIM and FEM interoperability for improved structural analysis and design.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Building Information Modelling, BIM, interoperability, Tekla Structures, FEM, structural analysis, Staad.Pro, Etabs, SAP2000, SOFiSTiK, Dlubal (RFEM), SCIA (SCIA Engineer), Robot (Autodesk), concrete structures, steel structures, productivity, coordination, visualization, documentation, waste reduction, early detection, design errors, collaboration, architects, engineers, contractors, Industry Foundation Class, IFC.

  License

Creative Commons Attribution 4.0 and The Open Definition