Development of an Innovative Modular Foam-Filled Panelised System for Rapidly Assembled Post Disaster Housing&lt;strong&gt; &lt;/strong&gt;

Sharafi, Pezhman; Nemati, Saeed; Samali, Bijan; Ghodrat, Maryam

doi:10.20944/preprints201806.0339.v1

2018

DOI: 10.20944/preprints201806.0339.v1

|View full text |Cite

Preprint

Development of an Innovative Modular Foam-Filled Panelised System for Rapidly Assembled Post Disaster Housing<strong> </strong>

Pezhman Sharafi¹,

Saeed Nemati²,

Bijan Samali³

et al.

Abstract: In this paper the development process of a deployable modular sandwich panelized system for rapid assembly building construction is presented, and its structural performance under some different action effects is investigated. This system, which includes an innovative sandwich panel and its integrated connections, can be used as structural walls and floors in quickly assembled post-disaster housing, as well as load bearing panels for pre-fabricated modular construction and semi-permanent buildings. Panels and … Show more

Help me understand this report

View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2018

2023

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Construction material manufacturing in the context of artificial intelligence and its use in the construction of assembled buildings

Wang

2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

To realize the combination of artificial intelligence and building material manufacturing and its construction in the assembly building, this paper conducts a comprehensive evaluation analysis of assembly building material manufacturing based on a fuzzy object element evaluation model. Firstly, a comprehensive evaluation index system of 5 primary indicators and 18 secondary indicators corresponding to them is established based on the characteristic data of construction material manufacturing. Secondly, the weights of the relevant construction material manufacturing indicators are calculated by combining the ANP method and entropy weighting method to comprehensively evaluate construction materials and construction material utilization of a specific assembly building project. Finally, the constructed evaluation model is applied to the Guiyang JY project, and the fuzzy object element evaluation model calculates the primary and secondary index weights. From the performance of the primary indicators, the average weight value of the entropy method is 19.37%, which is better than the average weight value of 18.15% of the hierarchical analysis method. In terms of the performance of the secondary indexes, the average weight value of the entropy method is 5.09% compared to the average weight value of the hierarchical analysis method of 4.96%, which is more favorable to the research and analysis of the construction of assembled buildings. This study has a guiding reference value for improving the construction level of assembled buildings in China by analyzing artificial intelligence technology in material manufacturing and assembled building construction.

show abstract

Construction material manufacturing in the context of artificial intelligence and its use in the construction of assembled buildings

Wang

2023

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

show abstract

Exploring an AM-Enabled Combination-of-Functions Approach for Modular Product Design

Chadha

Crowe

Carmen

et al. 2018

Designs

View full text Add to dashboard Cite

This work explores an additive-manufacturing-enabled combination-of-function approach for design of modular products. AM technologies allow the design and manufacturing of nearly free-form geometry, which can be used to create more complex, multi-function or multi-feature parts. The approach presented here replaces sub-assemblies within a modular product or system with more complex consolidated parts that are designed and manufactured using AM technologies. This approach can increase the reliability of systems and products by reducing the number of interfaces, as well as allowing the optimization of the more complex parts during the design. The smaller part count and the ability of users to replace or upgrade the system or product parts on-demand should reduce user risk, life-cycle costs, and prevent obsolescence for the user of many systems. This study presents a detailed review on the current state-of-the-art in modular product design in order to demonstrate the place, need and usefulness of this AM-enabled method for systems and products that could benefit from it. A detailed case study is developed and presented to illustrate the concepts.

show abstract

Edgewise Compressive Behavior of Composite Structural Insulated Panels with Magnesium Oxide Board Facings

2021

View full text Add to dashboard Cite

Edgewise compression response of a composite structural insulated panel (CSIP) with magnesium oxide board facings was investigated. The discussed CSIP is a novel multifunctional sandwich panel introduced to the housing industry as a part of the wall, floor, and roof assemblies. The study aims to propose a computational tool for reliable prediction of failure modes of CSIPs subjected to concentric and eccentric axial loads. An advanced numerical model was proposed that includes geometrical and material nonlinearity as well as incorporates the material bimodularity effect to achieve accurate and versatile failure mode prediction capability. Laboratory tests on small-scale CSIP samples of three different slenderness ratios and full-scale panels loaded with three different eccentricity values were carried out, and the test data were compared with numerical results for validation. The finite element (FE) model successfully captured CSIP’s inelastic response in uniaxial compression and when flexural action was introduced by eccentric loads or buckling and predicted all failure modes correctly. The comprehensive validation showed that the proposed approach could be considered a robust and versatile aid in CSIP design.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Development of an Innovative Modular Foam-Filled Panelised System for Rapidly Assembled Post Disaster Housing<strong> </strong>

Cited by 3 publications

References 20 publications

Construction material manufacturing in the context of artificial intelligence and its use in the construction of assembled buildings

Construction material manufacturing in the context of artificial intelligence and its use in the construction of assembled buildings

Exploring an AM-Enabled Combination-of-Functions Approach for Modular Product Design

Edgewise Compressive Behavior of Composite Structural Insulated Panels with Magnesium Oxide Board Facings

Contact Info

Product

Resources

About