As civil engineering continues to advance, mastering cutting-edge techniques is essential for addressing increasingly complex challenges. This chapter explores a range of advanced topics, demonstrating the powerful capabilities of MATLAB and its integration with Simulink for dynamic system simulations, real-time optimization, and multi-domain analysis. This chapter emphasizes the importance of MATLAB’s interdisciplinary applications, from structural analysis and control systems to smart construction monitoring and fuzzy logic-based decision-making. Through detailed case studies, this chapter illustrates the practical application of MATLAB in real-world engineering problems, such as vehicle dynamics simulations, contractor selection systems using fuzzy logic, and multi-story building seismic response modeling. These examples highlight the versatility of MATLAB for solving modern engineering challenges, promoting efficiency, accuracy, and innovation in civil engineering workflows. By mastering these advanced topics, engineers will gain the knowledge and tools necessary to apply MATLAB and Simulink in designing, simulating, and optimizing complex systems, enhancing their ability to develop innovative solutions for the future of civil engineering.

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Engineering Innovations in Action: Advanced Case Studies and Techniques with MATLAB

  • Dimitrios Sargiotis

摘要

As civil engineering continues to advance, mastering cutting-edge techniques is essential for addressing increasingly complex challenges. This chapter explores a range of advanced topics, demonstrating the powerful capabilities of MATLAB and its integration with Simulink for dynamic system simulations, real-time optimization, and multi-domain analysis. This chapter emphasizes the importance of MATLAB’s interdisciplinary applications, from structural analysis and control systems to smart construction monitoring and fuzzy logic-based decision-making. Through detailed case studies, this chapter illustrates the practical application of MATLAB in real-world engineering problems, such as vehicle dynamics simulations, contractor selection systems using fuzzy logic, and multi-story building seismic response modeling. These examples highlight the versatility of MATLAB for solving modern engineering challenges, promoting efficiency, accuracy, and innovation in civil engineering workflows. By mastering these advanced topics, engineers will gain the knowledge and tools necessary to apply MATLAB and Simulink in designing, simulating, and optimizing complex systems, enhancing their ability to develop innovative solutions for the future of civil engineering.