Sustainable approaches to improve the resilience of modular buildings under wind loads

Munmulla, Thisari; Navaratnam, Satheeskumar; Hidallana-Gamage, H.D.; Tushar, Quddus; Ponnampalam, Thusiyanthan; Zhang, Kevin; Jayasinghe, Mtr

doi:10.1016/j.jcsr.2023.108124

Cited by 2 publications

(1 citation statement)

References 48 publications

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“…The PVMB system can be defined as a construction practice wherein most of the on-site work is shifted to factories. In the PVMB system, 3-D modules, or the building units with the structural elements, MEP (mechanical, electrical, and plumbing) services, and finishes are manufactured in the factories and then transported to the required location [17]. To complete the structure, assembly and installation are carried out on-site (refer to Figure 2).…”

Section: Introductionmentioning

confidence: 99%

Suitability of Modular Technology for House Construction in Sri Lanka: A Survey and a Case Study

Munmulla,

Hidallana-Gamage,

Navaratnam

et al. 2023

Buildings

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Prefabricated volumetric modular building construction is an emerging technology in many countries used to develop the construction industry through its value-added benefits. The adoption of these novel technologies in the Sri Lankan construction industry has been relatively slow compared with other developing countries, delaying the development of the construction industry and the attainment of the added benefits of these technologies. Therefore, this study aims to identify the suitability of modular construction for the Sri Lankan construction industry via a survey and case study. A questionnaire survey was developed and distributed to assess and identify the benefits of implementing the concepts and constraints in Sri Lanka. Then, the construction cost of a proposed single-story house delivered through conventional and modular practices was compared. The survey results showed that introducing a modular concept to the industry is suitable and would benefit the Sri Lankan construction industry. Further, survey participants believed that the economic benefits brought in by modular construction are significantly more important than environmental and social benefits when selecting modular construction. The case study on a single-story affordable modular house showed a 32% reduction in total construction costs and a 36% reduction in labour costs compared to conventional house construction. Further, costs for total modular construction and labour were 32% and 36% less than those of conventional construction costs and labour costs. Moreover, a 16% reduction in embodied energy was observed when compared with conventional construction. Therefore, the modular concept could be used to construct affordable houses and will be cost-effective with the correct choice of material.

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Section: Introductionmentioning

confidence: 99%

Suitability of Modular Technology for House Construction in Sri Lanka: A Survey and a Case Study

Munmulla,

Hidallana-Gamage,

Navaratnam

et al. 2023

Buildings

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Using Machine Learning Technologies to Design Modular Buildings

Tusnin,

Alekseytsev,

Tusnina

2024

Buildings

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The article discusses a solution to the relevant task of analyzing and designing modular buildings made of blocks to be used in industrial and civil engineering. A block that represents a container is a combination of plate and beam systems. The criteria for its failure include both the strength of the individual elements and the loss of stability in a corrugated web. Methods of engineering analysis are hardly applicable to this system. Numerical analysis based on the finite element method is time-consuming, and this fact limits the number of design options for modular buildings made of blocks. Adjustable machine learning models are proposed as a solution to these problems. Decision trees are made and clustered into a single ensemble depending on the values of the design parameters. Key parameters determining the structures of decision trees include design steel resistance values, types of loads and the number of loadings, and ranges of rolled sheet thickness values. An ensemble of such models is used to take into account the nonlinear strain of elements. Piecewise approximation of the dependencies between components of the stress–strain state is used for this purpose. Linear regression equations are subjected to feature binarization to improve the efficiency of nonlinearity projections. The identification of weight coefficients without laborious search optimization methods is a distinguishing characteristic of the proposed models of steel blocks for modular buildings. A modular building block is used to illustrate the effectiveness of the proposed models. Its purpose is to accommodate a gas compressor of a gas turbine power plant. These machine learning models can accurately spot the stress–strain state for different design parameters, in particular for different corrugated web thickness values. As a result, ensemble models predict the stress–strain state with the coefficient of determination equaling 0.88–0.92.

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Sustainable approaches to improve the resilience of modular buildings under wind loads

Cited by 2 publications

References 48 publications

Suitability of Modular Technology for House Construction in Sri Lanka: A Survey and a Case Study

Suitability of Modular Technology for House Construction in Sri Lanka: A Survey and a Case Study

Using Machine Learning Technologies to Design Modular Buildings

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