Sizhong Qin

Sizhong Qin

PhD Student, Civil Engineering

Publications

You can also find my articles on my Google Scholar profile.

Intelligent generation and optimization method for the retrofit design of RC frame structures using buckling-restrained braces

Published in: Earthquake Engineering & Structural Dynamics, 2024

Proposes a two-stage intelligent design method for the retrofitting of RC frame structures with BRBs, based on generative AI and optimization algorithms. This method enables the decoupling of architectural and structural design requirements.

Recommended Citation: Tan, Z., Qin, S.Z., Hu, K.G., Liao, W.J., Gao, Y., Lu, X.Z., 2024. Intelligent generation and optimization method for the retrofit design of RC frame structures using buckling-restrained braces. Earthquake Engineering & Structural Dynamics. https://doi.org/10.1002/eqe.4268
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ChatHouseDiffusion: Prompt-guided generation and editing of floor plans

Published in: arXiv, 2024

Develops a novel approach that utilizes large language models, graphormer, and diffusion models to generate and edit floor plans interactively.

Recommended Citation: Qin, S.Z., He, C.Y., Chen, Q.Y., Yang, S., Liao, W.J., Gu, Y., Lu, X.Z., 2024. ChatHouseDiffusion: Prompt-guided generation and editing of floor plans. https://doi.org/10.48550/arXiv.2410.11908
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Intelligent design and optimization system for shear wall structures based on large language models and generative artificial intelligence

Published in: Journal of Building Engineering, 2024

Develops an intelligent design and optimization system for shear wall structures, increasing efficiency by about 30 times.

Recommended Citation: Qin, S.Z., Guan, H., Liao, W.J., Gu, Y., Zheng, Z., Xue, H.J., Lu, X.Z., 2024. Intelligent design and optimization system for shear wall structures based on large language models and generative artificial intelligence. Journal of Building Engineering 95, 109996. https://doi.org/10.1016/j.jobe.2024.109996
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AIstructure-Copilot: Assistant for generative AI-driven intelligent design of building structures

Published in: Smart Construction, 2024

Constructs a local–cloud collaborative mode, introduces a comprehensive data transmission format, and develops a cloud interface for generative AI algorithms.

Recommended Citation: Qin, S.Z., Liao, W.J., Huang, S.N., Hu, K.G., Tan, Z., Gao, Y., Lu, X.Z., 2024. AIstructure-Copilot: Assistant for generative AI-driven intelligent design of building structures. Smart Construction 1, 0001. https://doi.org/10.55092/sc20240001
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Synthetic research on construction inspection based on bim and point cloud segmentation using deep learning

Published in: Engineering Mechanics, 2024

(in Chinese) The point cloud semantic segmentation using deep learning is introduced to realize the object-oriented comparison of components for the frame nodes, which increases the automation and digitization level of point-cloud-vs-BIM comparison.

Recommended Citation: Zhang F., Sun C.J. , Qin S.Z., Zhao X.Y., 2024. Synthetic research on construction inspection based on bim and point cloud segmentation using deep learning. Engineering Mechanics 41, 194–201. https://doi.org/10.6052/j.issn.1000-4750.2022.04.0281
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An efficient assessment method for intelligent design results of shear wall structure based on mechanical performance, material consumption, and empirical rules

Published in: Engineering Mechanics, 2023

This study introduces an assessment method used in the intelligent design and optimization of shear wall structures that effectively combines mechanical analysis and formulaic encoding of empirical rules.

Recommended Citation: Qin, S.Z., Liao, W.J., Lin, Y.Q., Lu, X.Z., 2023. An efficient assessment method for intelligent design results of shear wall structure based on mechanical performance, material consumption, and empirical rules. Engineering Mechanics 40, 148–159. https://doi.org/10.6052/j.issn.1000-4750.2023.05.0360
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Exploring and discussion on the application of large language models in construction engineering

Published in: Industrial Construction, 2023

(in Chinese) This paper proposes an application framework for large language models in construction engineering, utilizing prompt engineering and a local knowledge base to enhance model performance.

Recommended Citation: Qin, S.Z., Zheng, Z., Gu, Y., Lu, X.Z., 2023. Exploring and discussion on the application of large language models in construction engineering. Industrial Construction 53, 162–169. https://doi.org/10.13204/j.gyjzg23081006
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A calculation system for the adjustment of prefabricated segmental beam templates based on the “cloud + end” model

Published in: the 8th National Conference on Building Information Modeling, 2022

(in Chinese) This study proposes a convenient calculation system for prefabricated segmental beam template adjustment based on the “cloud+end” model

Recommended Citation: Liu, Y., Ma, Z.L., Liu, S.L., Qin, S.Z., Zhou, F.N., Shi, Q.B. (2022). A calculation system for the adjustment of prefabricated segmental beam templates based on the "cloud + end" model. the 8th National Conference on Building Information Modeling, 109-113. China Architecture&Building Press. Shenzhen, China. DOI:10.26914/c.cnkihy.2022.045075.
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A cloud-based system for supporting quick location of precast concrete formwork using computer vision and BIM

Published in: Creative Construction e-Conference, 2022

This paper proposes a quick location system for formwork adjustment based on a smartphone and the latest technologies including computer vision, BIM, and cloud computing.

Recommended Citation: Liu, Y., Ma, Z.L., Qin, S.Z., Liu, S.L., 2022. A cloud-based system for supporting quick location of precast concrete formwork using computer vision and BIM, in: Creative Construction E-Conference 2022. pp. 97–104. https://doi.org/10.3311/CCC2022-014
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