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National University of Singapore
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e-book
The design guide is written with practicing structural engineers in mind. It emphasises professional applications, placing great emphasis on ready-to-use materials. It contains formulas and tables that give immediate solutions to common questions and problems arising from practical work related to composite columns. The design guide also provides good detailing practices for typical joints between steelconcrete composite columns and other structural components. Guideline is provided to select matching concrete and steel grades for the design of high strength composite columns. Special considerations for fire resistance design, fabrication of high tensile steel sections, and preparation of high strength concrete are emphasized. This design guide will endow structural engineers with the confidence to use high strength materials in a safe and economic manner to design and construct high rise buildings.
- Course related:
- CSE49400 Advanced Structural Design
- Subjects:
- Building Services Engineering and Building and Real Estate
- Keywords:
- Composite construction Structural design Building Iron steel
- Resource Type:
- e-book
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MOOC
The building industry is exploding with data sources that impact the energy performance of the built environment and health and well-being of occupants. Spreadsheets just don’t cut it anymore as the sole analytics tool for professionals in this field. Participating in mainstream data science courses might provide skills such as programming and statistics, however the applied context to buildings is missing, which is the most important part for beginners. This course focuses on the development of data science skills for professionals specifically in the built environment sector. It targets architects, engineers, construction and facilities managers with little or no previous programming experience. An introduction to data science skills is given in the context of the building life cycle phases. Participants will use large, open data sets from the design, construction, and operations of buildings to learn and practice data science techniques. Essentially this course is designed to add new tools and skills to supplement spreadsheets. Major technical topics include data loading, processing, visualization, and basic machine learning using the Python programming language, the Pandas data analytics and sci-kit learn machine learning libraries, and the web-based Colaboratory environment. In addition, the course will provide numerous learning paths for various built environment-related tasks to facilitate further growth.
- Keywords:
- City planning -- Statistical methods Python (Computer program language) Information visualization
- Resource Type:
- MOOC