DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT - Info and Reading Options
By Defense Technical Information Center
"DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT" and the language of the book is English.
“DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT” Metadata:
- Title: ➤ DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT
- Author: ➤ Defense Technical Information Center
- Language: English
Edition Identifiers:
- Internet Archive ID: DTIC_ADA479776
AI-generated Review of “DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT”:
"DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT" Description:
The Internet Archive:
A practical means of reducing the impact of blast loads on buildings is to introduce a barrier wall between the explosive device and the building. The height and location of the barrier wall are key design variables in terms of effectively reducing the peak positive and negative overpressure and impulse on the building. Until recently, set-ups that included a barrier between the explosive device and the building could only be modeled with consistent accuracy by using numeric simulation techniques. Unfortunately, these models require many hours of processing time to complete a simulation run, even for the fastest of today's computers. This has led several researchers to consider the use of advanced empirical modeling methods, specifically artificial neural networks, to overcome problems of computationally expensive simulations. Neural networks have the potential to make predictions of the influence of a barrier on blast propagation in a matter of seconds using a desktop computer, thus making it easier for designers to home-in on an optimal solution. Artificial neural networks appear to be well suited to this application, performing well for problems that are strongly non-linear and comprise many independent variables. This paper reports on past and on-going research in this field at AFRL Tyndall, using both scaled-live experimental data and simulated data to develop the neural models. The design and validation of these models are presented, and their successes and deficiencies are discussed. The paper concludes with an overview of current and future research plans to take this work to a state suitable for use in the field, and to extend it to problems comprising significantly more complicated configurations of structures than a barrier positioned between the explosive device and a building.
Read “DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT”:
Read “DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT” by choosing from the options below.
Available Downloads for “DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT”:
"DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT" is available for download from The Internet Archive in "texts" format, the size of the file-s is: 14.67 Mbs, and the file-s went public at Sun Jun 17 2018.
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: 16
- Number of Available Files: 16
- Added Date: 2018-06-17 16:29:37
- PPI (Pixels Per Inch): 600
Available Files:
1- Text PDF
- File origin: original
- File Format: Text PDF
- File Size: 0.00 Mbs
- File Name: DTIC_ADA479776.pdf
- Direct Link: Click here
2- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: DTIC_ADA479776_files.xml
- Direct Link: Click here
3- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: DTIC_ADA479776_meta.sqlite
- Direct Link: Click here
4- Metadata
- File origin: original
- File Format: Metadata
- File Size: 0.00 Mbs
- File Name: DTIC_ADA479776_meta.xml
- Direct Link: Click here
5- JPEG Thumb
- File origin: original
- File Format: JPEG Thumb
- File Size: 0.00 Mbs
- File Name: __ia_thumb.jpg
- Direct Link: Click here
6- Abbyy GZ
- File origin: derivative
- File Format: Abbyy GZ
- File Size: 0.00 Mbs
- File Name: DTIC_ADA479776_abbyy.gz
- Direct Link: Click here
7- chOCR
- File origin: derivative
- File Format: chOCR
- File Size: 0.00 Mbs
- File Name: DTIC_ADA479776_chocr.html.gz
- Direct Link: Click here
8- DjVuTXT
- File origin: derivative
- File Format: DjVuTXT
- File Size: 0.00 Mbs
- File Name: DTIC_ADA479776_djvu.txt
- Direct Link: Click here
9- Djvu XML
- File origin: derivative
- File Format: Djvu XML
- File Size: 0.00 Mbs
- File Name: DTIC_ADA479776_djvu.xml
- Direct Link: Click here
10- hOCR
- File origin: derivative
- File Format: hOCR
- File Size: 0.00 Mbs
- File Name: DTIC_ADA479776_hocr.html
- Direct Link: Click here
11- OCR Page Index
- File origin: derivative
- File Format: OCR Page Index
- File Size: 0.00 Mbs
- File Name: DTIC_ADA479776_hocr_pageindex.json.gz
- Direct Link: Click here
12- OCR Search Text
- File origin: derivative
- File Format: OCR Search Text
- File Size: 0.00 Mbs
- File Name: DTIC_ADA479776_hocr_searchtext.txt.gz
- Direct Link: Click here
13- Single Page Processed JP2 ZIP
- File origin: derivative
- File Format: Single Page Processed JP2 ZIP
- File Size: 0.01 Mbs
- File Name: DTIC_ADA479776_jp2.zip
- Direct Link: Click here
14- Page Numbers JSON
- File origin: derivative
- File Format: Page Numbers JSON
- File Size: 0.00 Mbs
- File Name: DTIC_ADA479776_page_numbers.json
- Direct Link: Click here
15- Scandata
- File origin: derivative
- File Format: Scandata
- File Size: 0.00 Mbs
- File Name: DTIC_ADA479776_scandata.xml
- Direct Link: Click here
16- Archive BitTorrent
- File origin: metadata
- File Format: Archive BitTorrent
- File Size: 0.00 Mbs
- File Name: DTIC_ADA479776_archive.torrent
- Direct Link: Click here
Search for “DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT” downloads:
Visit our Downloads Search page to see if downloads are available.
Find “DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT” in Libraries Near You:
Read or borrow “DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT” from your local library.
Buy “DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT” online:
Shop for “DTIC ADA479776: A Neural Network Approach To Modeling The Effects Of Barrier Walls On Blast Wave Propagation PREPRINT” on popular online marketplaces.
- Ebay: New and used books.