Structural Identification of Constructed Systems: Approaches, Methods, and Technologies for Effective Practice of St-Id offers an overview of nearly 20 years of research directed at bridging the gap in structural engineering between models and real structural systems. Structural identification, known as St-Id, can be defined as the process of creating and updating a model of a structure (for instance, a finite element model) using experimental observations and data. By developing reliable estimates of the performance and vulnerability of structural systems, St-Id produces improved simulations that, in turn, assist in decision making and the transition to performance-based civil engineering.Drawing upon contributions from experts in the field, this report focuses on defining the most critical considerations of St-Id, which include:modelling, both analytical and numericalexperimentation, including observations, sensing, and monitoringdata processing, including error screening and feature extractionmodel calibration, including comparisons of models and experimental data, model updating, and model selectiondecision support, such as scenario analyses and risk assessmentTwo appendixes present case studies demonstrating the St-Id of buildings and of bridges. Structural engineers, educators, and researchers working in the areas of structural modelling, health monitoring, assessment, forensics, performance evaluation, predictive analysis, and decision making will find this book useful in covering critical and practical aspects of these concepts.

Moving Toward Smart, Resilient and Sustainable Bridges collects the keynote lectures and technical papers presented at the 13th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2026, Orlando, Florida, USA, 6-10 July 2026). This open access book contains 418 contributions, including the Man-Chung Tang Lecture, the T.Y. Lin Lecture, 7 Keynote Lectures, and 409 papers from 42 countries. These contributions bring together the most recent advances in bridge engineering, uniting academic research and engineering practice around the theme of Moving Toward Smart, Resilient and Sustainable Bridges to solve new and old problems with innovative solutions.The contributions are organized into keynote lectures, mini-symposia (MS), special sessions (SS), and general sessions (GS), and cover the full breadth of bridge-related topics. Major topics include advanced bridge design, construction and maintenance, safety, reliability and risk evaluation, life-cycle management, resilience and sustainability, structural health monitoring, non-destructive testing and field testing, durability enhancement, repair and rehabilitation, fatigue and corrosion, extreme loads and multi-hazard performance, standardization and bridge management systems, service life prediction, financial planning and whole-life costing, and the growing role of artificial intelligence, digital twins, and robotics in the management of existing and future bridge stocks, among others. Moving Toward Smart, Resilient and Sustainable Bridges provides an up-to-date overview of the field of bridge engineering and contributes significantly to more rational decision-making on bridge safety, maintenance, management, life-cycle, resilience, whole-life costing and sustainability in order to enhance the welfare of society. The editors expect that this book will serve as a valuable reference to all concerned with bridge structures and infrastructure systems, including engineers, researchers, academics, owners, operators, and students from all areas of bridge engineering.

Structural Identification of Constructed Systems: Approaches, Methods, and Technologies for Effective Practice of St-Id offers an overview of nearly 20 years of research directed at bridging the gap in structural engineering between models and real structural systems. Structural identification, known as St-Id, can be defined as the process of creating and updating a model of a structure (for instance, a finite element model) using experimental observations and data. By developing reliable estimates of the performance and vulnerability of structural systems, St-Id produces improved simulations that, in turn, assist in decision making and the transition to performance-based civil engineering.Drawing upon contributions from experts in the field, this report focuses on defining the most critical considerations of St-Id, which include:modelling, both analytical and numericalexperimentation, including observations, sensing, and monitoringdata processing, including error screening and feature extractionmodel calibration, including comparisons of models and experimental data, model updating, and model selectiondecision support, such as scenario analyses and risk assessmentTwo appendixes present case studies demonstrating the St-Id of buildings and of bridges. Structural engineers, educators, and researchers working in the areas of structural modelling, health monitoring, assessment, forensics, performance evaluation, predictive analysis, and decision making will find this book useful in covering critical and practical aspects of these concepts.

Moving Toward Smart, Resilient and Sustainable Bridges collects the keynote lectures and technical papers presented at the 13th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2026, Orlando, Florida, USA, 6-10 July 2026). This open access book contains 418 contributions, including the Man-Chung Tang Lecture, the T.Y. Lin Lecture, 7 Keynote Lectures, and 409 papers from 42 countries. These contributions bring together the most recent advances in bridge engineering, uniting academic research and engineering practice around the theme of Moving Toward Smart, Resilient and Sustainable Bridges to solve new and old problems with innovative solutions.The contributions are organized into keynote lectures, mini-symposia (MS), special sessions (SS), and general sessions (GS), and cover the full breadth of bridge-related topics. Major topics include advanced bridge design, construction and maintenance, safety, reliability and risk evaluation, life-cycle management, resilience and sustainability, structural health monitoring, non-destructive testing and field testing, durability enhancement, repair and rehabilitation, fatigue and corrosion, extreme loads and multi-hazard performance, standardization and bridge management systems, service life prediction, financial planning and whole-life costing, and the growing role of artificial intelligence, digital twins, and robotics in the management of existing and future bridge stocks, among others. Moving Toward Smart, Resilient and Sustainable Bridges provides an up-to-date overview of the field of bridge engineering and contributes significantly to more rational decision-making on bridge safety, maintenance, management, life-cycle, resilience, whole-life costing and sustainability in order to enhance the welfare of society. The editors expect that this book will serve as a valuable reference to all concerned with bridge structures and infrastructure systems, including engineers, researchers, academics, owners, operators, and students from all areas of bridge engineering.