Author ORCID Identifier

https://orcid.org/0000-0002-5803-6132

Date Available

12-7-2023

Year of Publication

2021

Degree Name

Doctor of Philosophy (PhD)

Document Type

Doctoral Dissertation

College

Engineering

Department/School/Program

Civil Engineering

First Advisor

Dr. Mariantonieta Gutierrez Soto

Second Advisor

Dr. Lindsey Sebastian Bryson

Abstract

Next-generation smart cities are the key feature in the next chapter of human life. Cities that employ innovative and technology-driven solutions to improve the sustainability, resilience, prosperity, and amenity of the community are considered smart cities. Development of smart cities requires fundamental innovations in many technical and technological aspects including those contributing to smart structures. Smart technologies improve the structural performance against natural disasters like earthquakes, hurricanes, tornados, and promote the sustainability of structural systems. Next-generation smart structures encompass a variety of technologies including Structural Control (SC) and Structural Health Monitoring (SHM). SC covers methodologies and technologies that modify the dynamic behavior of structures in order to mitigate the dynamic responses and improve the safety and reparability of the structure. SHM systems aim to provide a reliable way to evaluate the structural integrity of these structures to ensure safety, serviceability, durability, and sustainability. Conventionally, SC and SHM techniques are separately utilized to improve the performance of the structures. However, the integrated systems including complimentary SC and SHM units have not been sufficiently investigated.

The present study focuses on smart technologies related to SC and SHM and investigates the role of Artificial Intelligence (AI) and Soft Computing (SoCo) methods in developing modern Integrated Structural Control and Health Monitoring (ISCHM) systems. Modern SC, SHM, and ISCHM systems are designed to improve the performance of structural systems subjected to natural hazards including earthquakes. The performance of the proposed methodologies is evaluated using civil engineering structures including buildings and bridges. Furthermore, innovative configurations and methodologies are devised to improve the performance of SC and SHM systems. Detailed numerical and experimental evaluation of these methodologies is presented which can be used as a general guideline to design modern systems for other cases of structural systems.

Digital Object Identifier (DOI)

https://doi.org/10.13023/etd.2021.418

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