Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design - Info and Reading Options
"Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design" and the language of the book is English.
“Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design” Metadata:
- Title: ➤ Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design
- Language: English
Edition Identifiers:
- Internet Archive ID: oapen-20.500.12657-89033
AI-generated Review of “Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design”:
"Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design" Description:
The Internet Archive:
The construction industry is currently witnessing a transformative period characterized by the convergence of the green and digital transitions. The green transition seeks to address environmental challenges such as climate change and resource depletion, while the digital transition leverages advanced technologies to enhance construction processes. This paper specifically explores the integration of green roofs, as component of sustainable buildings, into the Building Information Modeling (BIM) framework, a key enabler of the digital transition. Green roofs, known for their environmental benefits, consist of layers that contribute to energy efficiency, stormwater management, and biodiversity enhancement. To optimize their design and performance, this research employs Dynamo Visual Programming Language (VPL) within Autodesk Revit to create parametric models of green roofs. These models facilitate the evaluation of thermal and structural characteristics under varying water content conditions (dry and saturated). Results reveal that the choice of substrate and drainage materials significantly impacts thermal resistance, particularly in dry conditions. However, in saturated conditions, the influence on thermal performance converges, emphasizing the importance of structural considerations in both scenarios. The research also highlights various limitations and outlines avenues for future studies, including expanding the range of materials, exploring additional performance metrics, and incorporating AI and machine learning techniques. By addressing these aspects, this research contributes to a comprehensive understanding of the integration of green roofs and BIM. It provides designers and researchers with a practical tool for optimizing green roof designs, aligning with contemporary sustainable construction practices, and promoting the holistic development of green buildings
Read “Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design”:
Read “Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design” by choosing from the options below.
Available Downloads for “Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design”:
"Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 9.34 Mbs, and the file-s went public at Tue May 28 2024.
Legal and Safety Notes
Copyright Disclaimer and Liability Limitation:
A. Automated Content Display
The creation of this page is fully automated. All data, including text, images, and links, is displayed exactly as received from its original source, without any modification, alteration, or verification. We do not claim ownership of, nor assume any responsibility for, the accuracy or legality of this content.
B. Liability Disclaimer for External Content
The files provided below are solely the responsibility of their respective originators. We disclaim any and all liability, whether direct or indirect, for the content, accuracy, legality, or any other aspect of these files. By using this website, you acknowledge that we have no control over, nor endorse, the content hosted by external sources.
C. Inquiries and Disputes
For any inquiries, concerns, or issues related to the content displayed, including potential copyright claims, please contact the original source or provider of the files directly. We are not responsible for resolving any content-related disputes or claims of intellectual property infringement.
D. No Copyright Ownership
We do not claim ownership of any intellectual property contained in the files or data displayed on this website. All copyrights, trademarks, and other intellectual property rights remain the sole property of their respective owners. If you believe that content displayed on this website infringes upon your intellectual property rights, please contact the original content provider directly.
E. Fair Use Notice
Some content displayed on this website may fall under the "fair use" provisions of copyright law for purposes such as commentary, criticism, news reporting, research, or educational purposes. If you believe any content violates fair use guidelines, please reach out directly to the original source of the content for resolution.
Virus Scanning for Your Peace of Mind:
The files provided below have already been scanned for viruses by their original source. However, if you’d like to double-check before downloading, you can easily scan them yourself using the following steps:
How to scan a direct download link for viruses:
- 1- Copy the direct link to the file you want to download (don’t open it yet). (a free online tool) and paste the direct link into the provided field to start the scan.
- 2- Visit VirusTotal (a free online tool) and paste the direct link into the provided field to start the scan.
- 3- VirusTotal will scan the file using multiple antivirus vendors to detect any potential threats.
- 4- Once the scan confirms the file is safe, you can proceed to download it with confidence and enjoy your content.
Available Downloads
- Source: Internet Archive
- Internet Archive Link: Archive.org page
- All Files are Available: Yes
- Number of Files: 15
- Number of Available Files: 15
- Added Date: 2024-05-28 00:31:20
- Scanner: Internet Archive Python library 3.5.0
- PPI (Pixels Per Inch): 300
- OCR: tesseract 5.3.0-6-g76ae
- OCR Detected Language: en
Available Files:
1- Text PDF
- File origin: original
- File Format: Text PDF
- File Size: 0.00 Mbs
- File Name: 9791221502893_99.pdf
- Direct Link: Click here
2- Item Tile
- File origin: original
- File Format: Item Tile
- File Size: 0.00 Mbs
- File Name: __ia_thumb.jpg
- Direct Link: Click here
3- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: oapen-20.500.12657-89033_files.xml
- Direct Link: Click here
4- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: oapen-20.500.12657-89033_meta.sqlite
- Direct Link: Click here
5- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: oapen-20.500.12657-89033_meta.xml
- Direct Link: Click here
6- chOCR
- File origin: derivative
- File Format: chOCR
- File Size: 0.00 Mbs
- File Name: 9791221502893_99_chocr.html.gz
- Direct Link: Click here
7- DjVuTXT
- File origin: derivative
- File Format: DjVuTXT
- File Size: 0.00 Mbs
- File Name: 9791221502893_99_djvu.txt
- Direct Link: Click here
8- Djvu XML
- File origin: derivative
- File Format: Djvu XML
- File Size: 0.00 Mbs
- File Name: 9791221502893_99_djvu.xml
- Direct Link: Click here
9- hOCR
- File origin: derivative
- File Format: hOCR
- File Size: 0.00 Mbs
- File Name: 9791221502893_99_hocr.html
- Direct Link: Click here
10- OCR Page Index
- File origin: derivative
- File Format: OCR Page Index
- File Size: 0.00 Mbs
- File Name: 9791221502893_99_hocr_pageindex.json.gz
- Direct Link: Click here
11- OCR Search Text
- File origin: derivative
- File Format: OCR Search Text
- File Size: 0.00 Mbs
- File Name: 9791221502893_99_hocr_searchtext.txt.gz
- Direct Link: Click here
12- Single Page Processed JP2 ZIP
- File origin: derivative
- File Format: Single Page Processed JP2 ZIP
- File Size: 0.01 Mbs
- File Name: 9791221502893_99_jp2.zip
- Direct Link: Click here
13- Page Numbers JSON
- File origin: derivative
- File Format: Page Numbers JSON
- File Size: 0.00 Mbs
- File Name: 9791221502893_99_page_numbers.json
- Direct Link: Click here
14- Scandata
- File origin: derivative
- File Format: Scandata
- File Size: 0.00 Mbs
- File Name: 9791221502893_99_scandata.xml
- Direct Link: Click here
15- Archive BitTorrent
- File origin: metadata
- File Format: Archive BitTorrent
- File Size: 0.00 Mbs
- File Name: oapen-20.500.12657-89033_archive.torrent
- Direct Link: Click here
Search for “Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design” in Libraries Near You:
Read or borrow “Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design” from your local library.
Buy “Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design” online:
Shop for “Chapter Integrating Green Roofs Into Building Information Modeling (BIM): A Computational Approach For Sustainable Building Design” on popular online marketplaces.
- Ebay: New and used books.