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Indigenous Concrete Printer Technology: Future of Sustainable Construction

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dc.contributor.author Riaz, Raja Dilawar
dc.date.accessioned 2023-08-17T04:33:44Z
dc.date.available 2023-08-17T04:33:44Z
dc.date.issued 2023
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/36738
dc.description.abstract The construction industry is witnessing a paradigm shift with the integration of cutting-edge technologies, such as 3D concrete printing and machine learning. In this project, a groundbreaking initiative in Pakistan is presented which is the Development of Indigenous Concrete Printer and Mix Design, which represents a pioneering effort to revolutionize the construction sector in the country. The project's primary objective is twofold: first, the design and fabrication of an Indigenous Concrete Printer capable of constructing intricate concrete structures with unmatched precision; second, the implementation of machine learning algorithms, including Gaussian Process regression (GPR), Support Vector Machines (SVM), Decision Tree Regression (DTR), and XGBoost, to optimize the concrete mix design process. The Indigenous Concrete Printer is a state-of-the-art construction technology specifically tailored to suit the unique requirements and challenges of Pakistan's construction industry. The printer’s boasts cuttingedge hardware and software, allowing for seamless integration and communication during the printing process. Its adaptability enables the creation of diverse architectural designs, empowering architects, and engineers to push the boundaries of creativity and design flexibility. The mix design optimization through machine learning algorithms is a groundbreaking addition to the project. By leveraging extensive datasets and predictive models, this technology revolutionizes the conventional concrete mix design approach, which often leads to material waste and increased costs. With the aid of machine learning, our system predicts the optimal mix proportions for specific structural demands, significantly enhancing resource efficiency and sustainability. An essential aspect of this project is its uniqueness in Pakistan. The combination of an Indigenous Concrete Printer and machine learning-based mix design constitutes the first-of-its-kind initiative in the country. By introducing and integrating these advanced technologies, the project aimed to boost Pakistan's construction industry's productivity, economic growth, and environmental sustainability. In conclusion, the Development of Indigenous Concrete Printer and Mix Design is a pioneering project that promises to reshape the future of construction practices in Pakistan. This project aims to revolutionize the construction12 landscape by offering unparalleled construction efficiency, design freedom, and resource optimization by the fusion of an Indigenous Concrete Printer and machine learning algorithms. As a trailblazing effort, it lays the foundation for a more sustainable, technologically advanced, and progressive construction industry in Pakistan, setting an inspiring example for other aspiring innovators and industries across the nation en_US
dc.language.iso en en_US
dc.publisher NUST en_US
dc.title Indigenous Concrete Printer Technology: Future of Sustainable Construction en_US
dc.type Thesis en_US


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