Tsinghua University (20240211645). PHYSICS-ENHANCED DATA-DRIVEN METHOD AND DEVICE FOR INTELLIGENT STRUCTURAL DESIGN OF SHEAR WALL BUILDING simplified abstract
PHYSICS-ENHANCED DATA-DRIVEN METHOD AND DEVICE FOR INTELLIGENT STRUCTURAL DESIGN OF SHEAR WALL BUILDING
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PHYSICS-ENHANCED DATA-DRIVEN METHOD AND DEVICE FOR INTELLIGENT STRUCTURAL DESIGN OF SHEAR WALL BUILDING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240211645 titled 'PHYSICS-ENHANCED DATA-DRIVEN METHOD AND DEVICE FOR INTELLIGENT STRUCTURAL DESIGN OF SHEAR WALL BUILDING
The present application introduces a method and device for intelligent structural design of shear wall buildings, utilizing physics-enhanced data-driven techniques.
- The method involves inputting architectural design images and basic design conditions into a structural design model to generate a structural design image.
- The structural design model undergoes training for image generation and physical performance optimization using a physics-enhanced data-driven generative adversarial network.
- The resulting structural design image is vectorized along with the architectural design image to obtain the final design result for shear wall buildings.
Potential Applications: - Architectural and engineering firms can use this technology to streamline the design process for shear wall buildings. - Construction companies can benefit from more efficient and reliable structural design solutions.
Problems Solved: - Enhances the efficiency and reliability of structural design for shear wall buildings. - Integrates physics-based data-driven methods into architectural design processes.
Benefits: - Improved accuracy in structural design. - Faster design iterations and decision-making. - Enhanced structural integrity and performance of shear wall buildings.
Commercial Applications: Title: Advanced Structural Design Technology for Shear Wall Buildings This technology can be applied in the construction industry for designing high-rise buildings, residential complexes, and commercial structures with shear walls, optimizing their structural performance and safety.
Prior Art: Readers can explore existing patents related to physics-enhanced data-driven design methods for buildings, as well as research on generative adversarial networks in architecture and engineering.
Frequently Updated Research: Stay updated on advancements in physics-based data-driven design methodologies, applications of generative adversarial networks in structural engineering, and innovations in intelligent building design technologies.
Questions about Physics-Enhanced Data-Driven Structural Design for Shear Wall Buildings: 1. How does this technology improve the efficiency of structural design processes? - The technology streamlines the design process by integrating physics-enhanced data-driven methods, leading to faster and more reliable structural design outcomes.
2. What are the key benefits of using a generative adversarial network for structural design? - Generative adversarial networks enable the training of models for image generation and optimization, enhancing the accuracy and performance of structural design solutions.
Original Abstract Submitted
the present application provides a physics-enhanced data-driven method and device for intelligent structural design of shear wall building, and the method includes: obtaining an architectural design image and a basic design condition text to be processed; inputting the architectural design image and the basic design condition text into a structural design model, and obtaining a structural design image; the structural design model being obtained by performing a structural design image generation capability training and a physical performance optimization training for a physics-enhanced data-driven generative adversarial network; and vectorizing the structural design image and the architectural design image to obtain a structural design result of shear wall building. the physics-enhanced data-driven method and device for intelligent structural design of shear wall building provided by the present application improve the efficiency and the reliability of structural design.