東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Reshaping Concrete: Empowering Devel...

Ismail, Mohamed Abdelbagi.

FindBook

Google Book

Amazon

博客來

Reshaping Concrete: Empowering Development Through Low-Carbon Structural Design.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Reshaping Concrete: Empowering Development Through Low-Carbon Structural Design./
作者:	Ismail, Mohamed Abdelbagi.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	220 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-02, Section: B.
Contained By:	Dissertations Abstracts International85-02B.
標題:	Design. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30672413
ISBN:	9798380097291

Reshaping Concrete: Empowering Development Through Low-Carbon Structural Design.
Ismail, Mohamed Abdelbagi.

Reshaping Concrete: Empowering Development Through Low-Carbon Structural Design. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 220 p.

Source: Dissertations Abstracts International, Volume: 85-02, Section: B.

Thesis (Ph.D.)--Massachusetts Institute of Technology, 2023.

Less Economically Developed Countries (LEDCs) are struggling to meet the demand for affordable housing in their growing cities. There are several reasons for this, but a major constraint is the high cost of construction materials. In LEDCs, material costs can constitute up to 90% of the total cost of residential construction. Importantly, structural systems for multi-story housing in LEDCs are nearly always constructed in reinforced concrete and typically use structurally inefficient typologies like prismatic beams and flat slabs despite their structural material waste. This is because their construction mimics the materially inefficient practices of the More Economically Developed Countries (MEDCs), which were developed to reduce labor over material costs. The mounting use of steel-reinforced concrete structures in LEDC cities also raises concern about the environmental costs of construction; construction accounts for 20-30% of LEDC carbon emissions. This dissertation addresses these challenges with a set of strategies for the design and analysis of materially efficient concrete elements that can reduce the economic and environmental costs of urban construction. Developed to meet the constraints of LEDCs, structural elements are optimized to reduce the embodied carbon associated with the concrete and reinforcing steel while resisting the same loads as a standard building structure. These strategies include a novel approach to 3D shape parameterization, as well as a decoupled analytical engineering analysis method that accounts for the key failure modes and code-based constraints of reinforced concrete design. This method is verified through design examples that show how the embodied energy and carbon of concrete floor systems can be reduced by over 60% through shape optimization. Prototypes are fabricated and load tested to verify the efficacy of the structural design method, and to illustrate its ability to generate fabricable designs in an LEDC construction context. Finally, in order to broaden its potential impact, this research involves the development of accessible tools and methods for designers and stakeholders in LEDCs. The thesis presents an open-source toolset for the design and analysis of complex concrete elements and an intuitive design interface to communicate the performance and visual impact of materially efficient structures in real-time during early-stage design phases. This is especially useful in designs with exposed structural systems, allowing structural performance to play a key role in the final architecture.This thesis presents several strategies for the design of efficient concrete structures that allow us to build far more with far less, reducing the environmental and economic costs of construction while responding to the needs of LEDCs. These methods may enable the design of concrete elements for multiple performance criteria such as structural behavior, acoustic transmission, and thermal mass. They can also enable an accessible design practice through machine learning, real-time iterative workflows, and visualization tools that include the end user in the architectural design process.Keywords: reinforced concrete, shape optimization, digital fabrication, stress testing, machine learning,development, sustainability.

ISBN: 9798380097291Subjects--Topical Terms:

518875
Design.

Reshaping Concrete: Empowering Development Through Low-Carbon Structural Design.
LDR:04396nmm a2200361 4500 001 2401396
005 20241022112606.5
006 m o d
007 cr#unu||||||||
008 251215s2023 ||||||||||||||||| ||eng d
020 $a 9798380097291
035 $a (MiAaPQ)AAI30672413
035 $a (MiAaPQ)MIT1721_1_150043
035 $a AAI30672413
035 $a 2401396
040 $a MiAaPQ $c MiAaPQ
100 1 $a Ismail, Mohamed Abdelbagi. $0 (orcid)0000-0001-8674-3232 $3 3771491
245 1 0 $a Reshaping Concrete: Empowering Development Through Low-Carbon Structural Design.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 220 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-02, Section: B.
500 $a Advisor: Mueller, Caitlin.
502 $a Thesis (Ph.D.)--Massachusetts Institute of Technology, 2023.
520 $a Less Economically Developed Countries (LEDCs) are struggling to meet the demand for affordable housing in their growing cities. There are several reasons for this, but a major constraint is the high cost of construction materials. In LEDCs, material costs can constitute up to 90% of the total cost of residential construction. Importantly, structural systems for multi-story housing in LEDCs are nearly always constructed in reinforced concrete and typically use structurally inefficient typologies like prismatic beams and flat slabs despite their structural material waste. This is because their construction mimics the materially inefficient practices of the More Economically Developed Countries (MEDCs), which were developed to reduce labor over material costs. The mounting use of steel-reinforced concrete structures in LEDC cities also raises concern about the environmental costs of construction; construction accounts for 20-30% of LEDC carbon emissions. This dissertation addresses these challenges with a set of strategies for the design and analysis of materially efficient concrete elements that can reduce the economic and environmental costs of urban construction. Developed to meet the constraints of LEDCs, structural elements are optimized to reduce the embodied carbon associated with the concrete and reinforcing steel while resisting the same loads as a standard building structure. These strategies include a novel approach to 3D shape parameterization, as well as a decoupled analytical engineering analysis method that accounts for the key failure modes and code-based constraints of reinforced concrete design. This method is verified through design examples that show how the embodied energy and carbon of concrete floor systems can be reduced by over 60% through shape optimization. Prototypes are fabricated and load tested to verify the efficacy of the structural design method, and to illustrate its ability to generate fabricable designs in an LEDC construction context. Finally, in order to broaden its potential impact, this research involves the development of accessible tools and methods for designers and stakeholders in LEDCs. The thesis presents an open-source toolset for the design and analysis of complex concrete elements and an intuitive design interface to communicate the performance and visual impact of materially efficient structures in real-time during early-stage design phases. This is especially useful in designs with exposed structural systems, allowing structural performance to play a key role in the final architecture.This thesis presents several strategies for the design of efficient concrete structures that allow us to build far more with far less, reducing the environmental and economic costs of construction while responding to the needs of LEDCs. These methods may enable the design of concrete elements for multiple performance criteria such as structural behavior, acoustic transmission, and thermal mass. They can also enable an accessible design practice through machine learning, real-time iterative workflows, and visualization tools that include the end user in the architectural design process.Keywords: reinforced concrete, shape optimization, digital fabrication, stress testing, machine learning,development, sustainability.
590 $a School code: 0753.
650 4 $a Design. $3 518875
650 4 $a Building codes. $3 3681452
650 4 $a Structural engineering. $3 661234
650 4 $a Architectural engineering. $3 3174102
650 4 $a Civil engineering. $3 860360
690 $a 0389
690 $a 0729
690 $a 0543
690 $a 0462
710 2 $a Massachusetts Institute of Technology. $b Department of Architecture. $3 3764082
773 0 $t Dissertations Abstracts International $g 85-02B.
790 $a 0753
791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30672413