AI-Powered Structural Analysis and Design Optimization
This online engineering PDH course provides a comprehensive knowledge and advanced methodologies for implementing artificial intelligence (AI) in structural analysis and design optimization.
This course explores how artificial intelligence is transforming structural engineering practice by enhancing computational analysis, design optimization, and structural health monitoring. It explains how tools such as neural networks, deep learning, and surrogate models accelerate finite element analysis, improve topology and member sizing, predict structural performance under extreme loads, and support real-time monitoring.
This course presents core AI concepts tailored to structural applications, including data requirements, integration with tools like SAP2000 and ETABS, validation methods, and code-compliant implementation. It demonstrates practical applications through case studies in high-rise and bridge design, topology optimization achieving significant material savings, digital twin-based maintenance, and multi-objective optimization for performance, cost, and sustainability.
This 10 PDH online course is applicable to structural engineers, civil engineers, as well as other technical professionals who are interested in advancing beyond basic AI awareness to practical implementation of AI-powered structural analysis and optimization in their projects.
This PE continuing education course is intended to provide you with the following specific knowledge and skills:
- Understanding fundamental AI concepts for structural engineering, including machine learning algorithms, neural network architectures, deep learning methodologies
- Mastering AI-powered structural analysis techniques, including load prediction models, nonlinear behavior modeling, surrogate modeling for accelerating finite element analysis, and performance assessment
- Implementing topology optimization and generative design algorithms to achieve 20-40% material reductions while maintaining structural performance
- Developing structural health monitoring systems using AI for real-time damage detection, crack and corrosion identification
- Integrating AI tools and platforms into structural engineering workflows, including commercial software (Autodesk, ANSYS, Bentley), open-source libraries (TensorFlow, PyTorch, OpenSeesPy), and APIs for SAP2000, ETABS, and STAAD.
- Applying AI methods to diverse structure types including high-rise buildings, bridges, long-span roofs, offshore platforms, and special structures
- Establishing validation protocols, documentation standards, and quality control procedures for AI-assisted designs to ensure code compliance, professional liability protection, and regulatory acceptance
- Evaluating emerging AI technologies, implementing organizational roadmaps for AI adoption, and developing required competencies through training programs
Upon successful completion of the quiz, print your Certificate of Completion instantly. (Note: if you are paying by check or money order, you will be able to print it after we receive your payment.) For your convenience, we will also email it to you. Please note that you can log in to your account at any time to access and print your Certificate of Completion.