Xinzheng Lu – författare

This book encapsulates the state-of-the-art advancements and methodological innovations in structural and geotechnical engineering using OpenSees, as detailed by esteemed international scholars and practitioners at the 6th Eurasian Conference on OpenSees (EOSD), held in Beijing, China, on June 24-25, 2024. The event, following a two-day course with more than 100 attendees, was dedicated to examining recent progress and applications within the OpenSees framework. The book delves into a spectrum of topics, such as the deployment of OpenSees in structural and geotechnical projects, the development of novel computational elements and materials models, and enhancements in the software’s pre and post-processing capabilities that improve simulation accuracy and user interaction. Each paper is rigorously vetted through a comprehensive international peer-review process, ensuring the inclusion of high-quality, impactful research. The technical content presented extends beyond mere applications, offering detailed discussions on the integration of new numerical modeling techniques, the validation of complex material models under seismic loading, and the optimization of simulation workflows for enhanced scalability and efficiency. Moreover, this book serves as a critical resource for identifying emerging research trajectories and facilitating partnerships among experts in OpenSees.

This book gathers the proceedings of the 1st International Conference on Artificial Intelligence in Structural Engineering (ARTISTE), held in Turin, Italy, on September 14–17, 2025. It covers topics such as probabilistic Digital Twins in Structural Health Monitoring, Machine Learning techniques in uncertainty quantification in structural engineering, data-driven and AI-assisted evaluation and design of cement-based materials and structures, AI approaches in structural optimization and control, structural identification and knowledge transfer for civil engineering applications, analysis and design of shell and spatial structures, hybrid AI strategies in seismic engineering, intelligent non-destructive testing and evaluation for structures, AI approaches for seismic risk assessment and mitigation of structures, graphs for structural engineering, smart engineering for circular steel structures, integrated architectural and structural design through AI-guided generative processes and bio-inspired optimization.

Based on more than 12 years of systematic investigation on earthquake disaster simulation of civil infrastructures, this book covers the major research outcomes including a number of novel computational models, high performance computing methods and realistic visualization techniques for tall buildings and urban areas, with particular emphasize on collapse prevention and mitigation in extreme earthquakes, earthquake loss evaluation and seismic resilience. Typical engineering applications to several tallest buildings in the world (e.g., the 632 m tall Shanghai Tower and the 528 m tall Z15 Tower) and selected large cities in China (the Beijing Central Business District, Xi'an City, Taiyuan City and Tangshan City) are also introduced to demonstrate the advantages of the proposed computational models and techniques.The high-fidelity computationalmodel developed in this book has proven to be the only feasible option to date for earthquake-induced collapse simulation of supertall buildings that are higher than 500 m. More importantly, the proposed collapse simulation technique has already been successfully used in the design of some real-world supertall buildings, with significant savings of tens of thousands of tons of concrete and steel, whilst achieving a better seismic performance and safety.The proposed novel solution for earthquake disaster simulation of urban areas using nonlinear multiple degree-of-freedom (MDOF) model and time-history analysis delivers several unique advantages: (1) true representation of the characteristic features of individual buildings and ground motions; (2) realistic visualization of earthquake scenarios, particularly dynamic shaking of buildings during earthquakes; (3) detailed prediction of seismic response and losses on each story of every building at any time period. The proposed earthquake disaster simulation technique has been successfully implemented in the seismic performance assessments and earthquake loss predictions of several central cities in China. The outcomes of the simulation as well as the feedback from the end users are encouraging, particularly for the government officials and/or administration department personnel with limited professional knowledge of earthquake engineering.The book offers readers a systematic solution to earthquake disaster simulation of civil infrastructures. The application outcomes demonstrate a promising future of the proposed advanced techniques. The book provides a long-awaited guide for academics and graduate students involving in earthquake engineering research and teaching activities. It can also be used by structural engineers for seismic design of supertall buildings.

The first edition of this monograph, presenting accurate and efficient simulations of seismic damage to buildings and cities, has received significant attention from the research community.